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Overview of Google App Engine
June 13, 2023 by Meenal Sarda Leave a Comment
Google App Engine is an industry-leading Platform as a Service (PaaS) from the company that pioneered much of the microservices technology we rely on today.
In this blog, we are going to cover Google App Engine, its features, advantages, and use-cases.
Google App Engine
Google App Engine is a fully managed serverless platform for developing and hosting web applications at a scale. Users can choose from several popular languages, libraries, and frameworks to develop their applications and then App Engine takes care of provisioning servers and scaling app instances based on demand. It is a PaaS for building scalable applications.
It is one of the Compute services offered by Google Cloud Platform . To know more about other services offered by Google Cloud Platform read the blog Google Cloud Services And Tools
Note : Read our Blog Post on Google Cloud Functions .
Google App Engine Environments
Google Cloud provides 2 environments to use App Engine, one is a standard environment with constrained environments and support for languages such as Python, Go, node.js. The other one is the Flexible Environment where developers have more freedom such as running custom runtimes using docker, longer request & response timeout, and ability to install custom dependencies/software, and SSH into the virtual machine.
1.) Standard Environment
It is based on the container which runs on the Google infrastructure. It provides users with the facility to easily build and deploy an application that runs under heavy load and a large amount of data. It supports the following languages: Python, JAVA, Node.js, Ruby, PHP, and Go.
Features of Standard Environment:
- Persistent storage with queries, sorting, and transactions.
- Automatic scaling and load balancing.
- Asynchronous task queues for performing work outside the scope of a request.
- Scheduled tasks for triggering events at regular intervals or specific time intervals.
- Integration with other Google cloud services and APIs.
2.) Flexible Environment
App Engine Flexible Environment allows users to concentrate on writing code. Based on Google Compute Engine , it automatically scales the app up and down and along with it also balances the load. It allows users to customize their runtime and the operating system of their virtual machines using Dockerfiles.
Features of Flexible Environment:
- Infrastructure Customization: App Engine flexible environment instances are Compute Engine virtual machines, which implies that users can take advantage of custom libraries, use SSH for debugging, and deploy their own Docker containers.
- It is an open-source community.
- Native feature support: Features such as microservices, authorization, SQL and NoSQL databases, traffic splitting, logging, etc are natively supported.
- Performance: Users can take advantage of a wide array of CPU and memory configurations.
Note : Read Our Blog Post on Associate Cloud Engineer .
Google App Engine Use-Cases
1.) Scalable Mobile Backends: App Engine automatically scales the hosting environment for users who are building their first mobile application or looking to reach out to existing users via a mobile experience. It offers seamless integration with Firebase which provides an easy-to-use frontend mobile platform along with a scalable and reliable back end.
2.) Modern Web-Applications: Quickly reach customers and end-users by deploying web apps on App Engine. With zero-config deployments and zero server management, It allows users to focus on just writing code. In addition to this, it automatically scales to support sudden traffic spikes without provisioning, patching, or monitoring.
Benefits of Google App Engine
The main benefits of Google App Engine are:
- Open and familiar languages and tools: Users can build and deploy apps quickly using popular languages or bring their own language runtimes and frameworks, they can also manage resources from the command line, debug source code, and run API back ends easily.
- Just add code: App Engine protects from security threats using firewall capabilities, IAM rules, and managed SSL/ TLS certificates so that it helps users to write code without any underlying infrastructure.
- Pay only for what you use: It naturally scales relying upon the application traffic and expends resources just when the code is running.
Features of App Engine
Some of the prominent features of Google App Engine include:
- Popular language: Users can build the application using language runtimes such as Java, Python, C#, Ruby, PHP or build their own runtimes.
- Open and flexible: Custom runtimes allow users to bring any library and framework to App Engine by supplying a Docker container.
- Fully managed: It allows users to add your web application code to the platform while it manages the infrastructure. The engine ensures that web apps are secure and running and enables the firewall to save them from malware and threats.
- Powerful application diagnostics: Google App engine uses cloud monitoring and cloud logging to monitor the health and performance of the app and to diagnose and fix bugs quickly it uses cloud debugger and error reporting.
- Application versioning: It easily hosts different versions of the app, and create development, test, staging, and production environments.
- Application security: Google App Engine helps safeguard the application by defining access rules with an App Engine firewall and leverage managed SSL/TLS certificates by default on the custom domain without incurring any additional cost.
Note : You Can Check our Blog Post on Creating Google Cloud Account .
Frequently Asked Questions
What languages are supported by google app engine.
Google App Engine support some popular languages like Java, PHP, Node.js, Python, C#, GO, .Net, and Ruby.
What are the services provided by the App Engine?
It is a Platform as a Service (PaaS) that provides Web app developers and enterprises with access to Google's scalable hosting service. Google App Engine provides more infrastructure than other scalable hosting services like AWS Elastic Compute Cloud (EC2) and also eliminates some system administration and developmental tasks to make it easier to write scalable applications.
What is the difference between Compute Engine and App Engine?
Compute Engine is an IaaS offering where the users have to create and configure their own virtual machine instances whereas App Engine is a PaaS offering where users have to deploy their code and everything else is handled by the platform.
Which companies or ventures are using Google App Engine?
Some big companies like Accenture, Snapchat, YouTube, Khan Academy, etc are currently using the App Engine.
When should you use App Engine?
Google App Engine is a perfect fit for web applications, mobile backends, IoT, Internal IT apps. But also users should avoid using it for media rendering, genetic science, data analysis, VM images, and stateful storage.
Related References
- GCP Associate Cloud Engineer: All You Need To Know About
- GCP Professional Cloud Architect: Everything You Need To Know
- Introduction To Google Cloud Platform
- Google Cloud Services & Tools
- Introduction To Google Compute Engine
- Top 30 GCP Interview Questions and Answers 2023
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Build and Launch Web Apps Effortlessly with Google App Engine
- By Bavan M Y
Introduction
App Engine is a cloud-based platform that enables developers to create and host web applications without worrying about infrastructure management. It is a Platform-as-a-Service (PaaS) offering from Google Cloud, designed to provide developers with a scalable and reliable environment for developing and deploying web applications.
App Engine Hierarchy
- Applications: The top-level of the App Engine hierarchy is the application. An application is a collection of services, versions, and instances that work together to provide a complete web application. Each application is identified by a unique ID, differentiating it from others.
- Services: A service is a group of related functionalities within an application. A service can be thought of as a logical partition of an application. Each service can have multiple versions, each with its instances.
- Versions: A version is a specific service iteration deployed to the App Engine environment. Each version is identified by a unique version ID, differentiating it from other versions of the same service. Each version can have multiple instances running simultaneously.
- Instances: An instance is a virtual machine that runs a particular service version. Each instance is created dynamically as needed to handle incoming requests. Instances can be scaled up or down based on demand and configured to use different machine types and resource allocations.
Pioneers in Cloud Consulting & Migration Services
- Reduced infrastructural costs
- Accelerated application deployment
Advantages and Disadvantages
There are numerous benefits to using App Engine as a platform for developing and hosting web applications:
- Scalability: App Engine is designed to scale up resources automatically in response to traffic spikes and growing user bases. This means you won’t have to worry about over-provisioning or paying for resources you won’t use.
- Reliability: App Engine is built on Google’s infrastructure, which is built for high availability and fault tolerance. This means your application is highly available and can withstand hardware and network failures without negatively impacting your users.
- Easy to use: App Engine provides a simple platform for developing and deploying web applications. You are not required to manage servers, operating systems, or other infrastructure-related tasks. Instead, you can concentrate on construction.
- Multiple programming languages: App Engine supports various programming languages, including Java, Python, Node.js, Go, and more. This means you can choose the language you’re most comfortable with and best fits your project.
- Wide range of tools and services: App Engine provides a wide range of tools and services, such as databases, caching, and authentication, to make it easier to build your application.
- Integration with other Google Cloud services: App Engine offers easy integration with other Google Cloud services, such as Cloud Storage, Cloud SQL, and Big Query. This makes it easy to build and deploy complex applications that require multiple services.
Overall, App Engine is a powerful platform that provides developers with the tools and services they need to build and deploy web applications quickly and easily.
Disadvantages
While App Engine has many advantages, there are some drawbacks to consider when using this platform:
- Control over the underlying infrastructure is limited: Because App Engine is a fully managed platform, developers have limited control over the underlying infrastructure. This can be a disadvantage for developers who require finer-grained control over the environment of their applications.
- Vendor lock-in: Because Google App Engine is a proprietary platform, developers may face vendor lock-in. If developers want to switch to another platform in the future, this can be a disadvantage.
- Limited flexibility: App Engine provides a predefined environment for running applications, which limits the platform’s flexibility. This can be an issue for developers who need more customization.
- Cost: While App Engine offers a free tier, using the platform for large-scale applications can be costly. This can be a disadvantage for startups and small businesses that have limited budgets.
- Limited database support: While App Engine supports several databases, including Google Cloud SQL and Cloud Datastore, it may not support all databases that developers require. This can disadvantage developers who need to use a specific database technology.
It’s important to weigh these potential disadvantages against the benefits of using App Engine before deciding whether to use it for your web application development needs.
Best Practices of App Engine
Here are some best practices for App Engine development:
- Use the most recent version of your preferred programming language: App Engine supports various programming languages, including Python, Java, and Go. Using the most recent version of your preferred programming language is critical to take advantage of the most recent features and security patches.
- Follow the best security practices: Security should be a top priority when developing apps on App Engine. Use best practices such as encrypting sensitive data, avoiding hard-coded passwords, and encrypting all communications with SSL/TLS.
- Optimize for performance: App Engine scales applications automatically based on traffic and user demand. However, optimize your application code and database queries to ensure maximum performance and resource usage.
- Use App Engine services for data storage: App Engine offers a variety of data storage and management services, including Cloud Datastore and Cloud SQL. The use of these services can aid in the improvement of application performance and scalability.
- Background processing with App Engine task queues: App Engine provides a task queue service for running background tasks such as sending emails or processing large amounts of data. Using task queues can help improve the responsiveness and scalability of an application.
- Use App Engine modules to build microservices: App Engine has a modules feature that can be used to build microservices within a larger application. Using modules can help improve the modularity and scalability of an application.
- Test and monitor your application: Testing and monitoring are critical for ensuring application reliability and performance. Use App Engine’s built-in tools for testing and monitoring, and consider using third-party tools for additional functionality.
By following these best practices, you can ensure that your applications on App Engine are secure, performant, and scalable.
Real-World use case
- E-commerce: Many e-commerce businesses use App Engine to power their online stores and handle high traffic volumes during peak shopping seasons. App Engine’s automatic scaling and built-in caching make it a great choice for handling sudden spikes in traffic.
- Healthcare: App Engine is used by healthcare organizations to build and deploy web-based applications for patient management, appointment scheduling, and telemedicine. App Engine’s built-in security features and HIPAA compliance make it a popular choice for healthcare applications.
- Finance: App Engine is used by financial organizations for building and deploying applications for banking, financial planning, and trading. App Engine’s built-in security and compliance features make it a popular choice for sensitive financial applications.
- Education: Many educational institutions use App Engine for building and deploying learning management systems, student portals, and online course platforms. App Engine’s automatic scaling and built-in services make handling large volumes of users and data easy.
- Gaming: App Engine is used by gaming companies for building and deploying online multiplayer games and gaming platforms. App Engine’s automatic scaling and real-time data synchronization features make it a popular choice for gaming applications.
Overall, businesses and organizations across industries have used App Engine for building and deploying a wide range of web applications. Its built-in services, automatic scaling, and easy-to-use dashboard make it a popular choice for businesses looking to develop and deploy web applications efficiently and cost-effectively.
Demo on Deploying a Sample App
- Select APIs & Services > Library from the left Navigation menu.
- In the search box, type “App Engine Admin API.”.
- Tap the App Engine Admin API card to open it.
- Select Enable. If no prompt to enable the API appears, it is already enabled, and no action is required.
- Enter the following command to copy the Hello World sample app repository to your Google Cloud
- Go to the directory that contains the sample code:
- To deploy your application to App Engine, run the following command from the root of your application where the app.yaml file is located:
- You will be prompted to enter the App Engine location. Please enter the number that represents your region. After that, the App Engine application will be built.
- Enter Y when prompted for details to begin provisioning the service.
- Example Output
4. To launch the browser, enter the following command and click the displayed link.
App Engine is a powerful platform for developing and deploying web applications. Fully managed infrastructure, automatic scaling, and built-in services make it an attractive choice for businesses of all sizes. However, it’s important to consider the potential limitations of the App Engine. B. Vendor dependency and limited flexibility. Follow App Engine development best practices. Performance tuning, use of App Engine services for data storage and testing, application monitoring, and more help ensure that your application is secure, reliable, and scalable. Overall, App Engine is a valuable tool for modern web application development, helping companies achieve their goals efficiently and cost-effectively.
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Drop a query if you have any questions regarding App Engine and I will get back to you quickly.
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1. What programming languages are supported by Google App Engine?
ANS: – Google App Engine supports multiple programming languages, including Java, Python, PHP, Node.js, Ruby, and Go. You can choose the language that best suits your application’s needs.
2. How does Google App Engine handle scalability?
ANS: – Google App Engine automatically handles scalability by dynamically allocating resources based on the demand of your application. It scales your application up or down based on traffic patterns to ensure optimal performance.
3. Can I use a custom domain with Google App Engine?
ANS: – Yes, you can use a custom domain with Google App Engine. You can map your own domain name to your App Engine application by configuring the necessary DNS settings.
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WRITTEN BY Bavan M Y
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What is Google App Engine (GAE)?
Pre-requisite:- Google Cloud Platform
A scalable runtime environment, Google App Engine is mostly used to run Web applications. These dynamic scales as demand change over time because of Google’s vast computing infrastructure. Because it offers a secure execution environment in addition to a number of services, App Engine makes it easier to develop scalable and high-performance Web apps. Google’s applications will scale up and down in response to shifting demand. Croon tasks, communications, scalable data stores, work queues, and in-memory caching are some of these services.
The App Engine SDK facilitates the testing and professionalization of applications by emulating the production runtime environment and allowing developers to design and test applications on their own PCs. When an application is finished being produced, developers can quickly migrate it to App Engine, put in place quotas to control the cost that is generated, and make the programmer available to everyone. Python, Java, and Go are among the languages that are currently supported.
The development and hosting platform Google App Engine, which powers anything from web programming for huge enterprises to mobile apps, uses the same infrastructure as Google’s large-scale internet services. It is a fully managed PaaS (platform as a service) cloud computing platform that uses in-built services to run your apps. You can start creating almost immediately after receiving the software development kit (SDK). You may immediately access the Google app developer’s manual once you’ve chosen the language you wish to use to build your app.
After creating a Cloud account, you may Start Building your App
- Using the Go template/HTML package
- Python-based webapp2 with Jinja2
- PHP and Cloud SQL
- using Java’s Maven
The app engine runs the programmers on various servers while “sandboxing” them. The app engine allows the program to use more resources in order to handle increased demands. The app engine powers programs like Snapchat, Rovio, and Khan Academy.
Features of App Engine
Runtimes and languages.
To create an application for an app engine, you can use Go, Java, PHP, or Python. You can develop and test an app locally using the SDK’s deployment toolkit. Each language’s SDK and nun time are unique. Your program is run in a:
- Java Run Time Environment version 7
- Python Run Time environment version 2.7
- PHP runtime’s PHP 5.4 environment
- Go runtime 1.2 environment
Generally Usable Features
These are protected by the service-level agreement and depreciation policy of the app engine. The implementation of such a feature is often stable, and any changes made to it are backward-compatible. These include communications, process management, computing, data storage, retrieval, and search, as well as app configuration and management. Features like the HRD migration tool, Google Cloud SQL, logs, datastore, dedicated Memcached, blob store, Memcached, and search are included in the categories of data storage, retrieval, and search.
Features in Preview
In a later iteration of the app engine, these functions will undoubtedly be made broadly accessible. However, because they are in the preview, their implementation may change in ways that are backward-incompatible. Sockets, MapReduce, and the Google Cloud Storage Client Library are a few of them.
Experimental Features
These might or might not be made broadly accessible in the next app engine updates. They might be changed in ways that are irreconcilable with the past. The “trusted tester” features, however, are only accessible to a limited user base and require registration in order to utilize them. The experimental features include Prospective Search, Page Speed, OpenID, Restore/Backup/Datastore Admin, Task Queue Tagging, MapReduce, and Task Queue REST API. App metrics analytics, datastore admin/backup/restore, task queue tagging, MapReduce, task queue REST API, OAuth, prospective search, OpenID, and Page Speed are some of the experimental features.
Third-Party Services
As Google provides documentation and helper libraries to expand the capabilities of the app engine platform, your app can perform tasks that are not built into the core product you are familiar with as app engine. To do this, Google collaborates with other organizations. Along with the helper libraries, the partners frequently provide exclusive deals to app engine users.
Advantages of Google App Engine
The Google App Engine has a lot of benefits that can help you advance your app ideas. This comprises:
- Infrastructure for Security: The Internet infrastructure that Google uses is arguably the safest in the entire world. Since the application data and code are hosted on extremely secure servers, there has rarely been any kind of illegal access to date.
- Faster Time to Market: For every organization, getting a product or service to market quickly is crucial. When it comes to quickly releasing the product, encouraging the development and maintenance of an app is essential. A firm can grow swiftly with Google Cloud App Engine’s assistance.
- Quick to Start: You don’t need to spend a lot of time prototyping or deploying the app to users because there is no hardware or product to buy and maintain.
- Easy to Use: The tools that you need to create, test, launch, and update the applications are included in Google App Engine (GAE).
- Rich set of APIs & Services: A number of built-in APIs and services in Google App Engine enable developers to create strong, feature-rich apps.
- Scalability: This is one of the deciding variables for the success of any software. When using the Google app engine to construct apps, you may access technologies like GFS, Big Table, and others that Google uses to build its own apps.
- Performance and Reliability: Among international brands, Google ranks among the top ones. Therefore, you must bear that in mind while talking about performance and reliability.
- Cost Savings: To administer your servers, you don’t need to employ engineers or even do it yourself. The money you save might be put toward developing other areas of your company.
- Platform Independence: Since the app engine platform only has a few dependencies, you can easily relocate all of your data to another environment.
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Harvard Business Case Studies Solutions – Assignment Help
In most courses studied at Harvard Business schools, students are provided with a case study. Major HBR cases concerns on a whole industry, a whole organization or some part of organization; profitable or non-profitable organizations. Student’s role is to analyze the case and diagnose the situation, identify the problem and then give appropriate recommendations and steps to be taken.
To make a detailed case analysis, student should follow these steps:
STEP 1: Reading Up Harvard Case Study Method Guide:
Case study method guide is provided to students which determine the aspects of problem needed to be considered while analyzing a case study. It is very important to have a thorough reading and understanding of guidelines provided. However, poor guide reading will lead to misunderstanding of case and failure of analyses. It is recommended to read guidelines before and after reading the case to understand what is asked and how the questions are to be answered. Therefore, in-depth understanding f case guidelines is very important.
Harvard Case Study Solutions
porter’s five forces model
STEP 2: Reading The Google App Engine Harvard Case Study:
To have a complete understanding of the case, one should focus on case reading. It is said that case should be read two times. Initially, fast reading without taking notes and underlines should be done. Initial reading is to get a rough idea of what information is provided for the analyses. Then, a very careful reading should be done at second time reading of the case. This time, highlighting the important point and mark the necessary information provided in the case. In addition, the quantitative data in case, and its relations with other quantitative or qualitative variables should be given more importance. Also, manipulating different data and combining with other information available will give a new insight. However, all of the information provided is not reliable and relevant.
When having a fast reading, following points should be noted:
- Nature of organization
- Nature if industry in which organization operates.
- External environment that is effecting organization
- Problems being faced by management
- Identification of communication strategies.
- Any relevant strategy that can be added.
- Control and out-of-control situations.
When reading the case for second time, following points should be considered:
- Decisions needed to be made and the responsible Person to make decision.
- Objectives of the organization and key players in this case.
- The compatibility of objectives. if not, their reconciliations and necessary redefinition.
- Sources and constraints of organization from meeting its objectives.
After reading the case and guidelines thoroughly, reader should go forward and start the analyses of the case.
STEP 3: Doing The Case Analysis Of Google App Engine:
To make an appropriate case analyses, firstly, reader should mark the important problems that are happening in the organization. There may be multiple problems that can be faced by any organization. Secondly, after identifying problems in the company, identify the most concerned and important problem that needed to be focused.
Firstly, the introduction is written. After having a clear idea of what is defined in the case, we deliver it to the reader. It is better to start the introduction from any historical or social context. The challenging diagnosis for Google App Engine and the management of information is needed to be provided. However, introduction should not be longer than 6-7 lines in a paragraph. As the most important objective is to convey the most important message for to the reader.
After introduction, problem statement is defined. In the problem statement, the company’s most important problem and constraints to solve these problems should be define clearly. However, the problem should be concisely define in no more than a paragraph. After defining the problems and constraints, analysis of the case study is begin.
STEP 4: SWOT Analysis of the Google App Engine HBR Case Solution:
- Pest analysis
SWOT analysis helps the business to identify its strengths and weaknesses, as well as understanding of opportunity that can be availed and the threat that the company is facing. SWOT for Google App Engine is a powerful tool of analysis as it provide a thought to uncover and exploit the opportunities that can be used to increase and enhance company’s operations. In addition, it also identifies the weaknesses of the organization that will help to be eliminated and manage the threats that would catch the attention of the management.
This strategy helps the company to make any strategy that would differentiate the company from competitors, so that the organization can compete successfully in the industry. The strengths and weaknesses are obtained from internal organization. Whereas, the opportunities and threats are generally related from external environment of organization. Moreover, it is also called Internal-External Analysis.
In the strengths, management should identify the following points exists in the organization:
- Advantages of the organization
- Activities of the company better than competitors.
- Unique resources and low cost resources company have.
- Activities and resources market sees as the company’s strength.
- Unique selling proposition of the company.
WEAKNESSES:
- Improvement that could be done.
- Activities that can be avoided for Google App Engine.
- Activities that can be determined as your weakness in the market.
- Factors that can reduce the sales.
- Competitor’s activities that can be seen as your weakness.
OPPORTUNITIES:
- Good opportunities that can be spotted.
- Interesting trends of industry.
- Change in technology and market strategies
- Government policy changes that is related to the company’s field
- Changes in social patterns and lifestyles.
- Local events.
Following points can be identified as a threat to company:
- Company’s facing obstacles.
- Activities of competitors.
- Product and services quality standards
- Threat from changing technologies
- Financial/cash flow problems
- Weakness that threaten the business.
Following points should be considered when applying SWOT to the analysis:
- Precise and verifiable phrases should be sued.
- Prioritize the points under each head, so that management can identify which step has to be taken first.
- Apply the analyses at proposed level. Clear yourself first that on what basis you have to apply SWOT matrix.
- Make sure that points identified should carry itself with strategy formulation process.
- Use particular terms (like USP, Core Competencies Analyses etc.) to get a comprehensive picture of analyses.
STEP 5: PESTEL/ PEST Analysis of Google App Engine Case Solution:
Pest analyses is a widely used tool to analyze the Political, Economic, Socio-cultural, Technological, Environmental and legal situations which can provide great and new opportunities to the company as well as these factors can also threat the company, to be dangerous in future.
Pest analysis is very important and informative. It is used for the purpose of identifying business opportunities and advance threat warning. Moreover, it also helps to the extent to which change is useful for the company and also guide the direction for the change. In addition, it also helps to avoid activities and actions that will be harmful for the company in future, including projects and strategies.
To analyze the business objective and its opportunities and threats, following steps should be followed:
- Brainstorm and assumption the changes that should be made to organization. Answer the necessary questions that are related to specific needs of organization
- Analyze the opportunities that would be happen due to the change.
- Analyze the threats and issues that would be caused due to change.
- Perform cost benefit analyses and take the appropriate action.
PEST FACTORS:
- Next political elections and changes that will happen in the country due to these elections
- Strong and powerful political person, his point of view on business policies and their effect on the organization.
- Strength of property rights and law rules. And its ratio with corruption and organized crimes. Changes in these situation and its effects.
- Change in Legislation and taxation effects on the company
- Trend of regulations and deregulations. Effects of change in business regulations
- Timescale of legislative change.
- Other political factors likely to change for Google App Engine.
ECONOMICAL:
- Position and current economy trend i.e. growing, stagnant or declining.
- Exchange rates fluctuations and its relation with company.
- Change in Level of customer’s disposable income and its effect.
- Fluctuation in unemployment rate and its effect on hiring of skilled employees
- Access to credit and loans. And its effects on company
- Effect of globalization on economic environment
- Considerations on other economic factors
SOCIO-CULTURAL:
- Change in population growth rate and age factors, and its impacts on organization.
- Effect on organization due to Change in attitudes and generational shifts.
- Standards of health, education and social mobility levels. Its changes and effects on company.
- Employment patterns, job market trend and attitude towards work according to different age groups.
case study solutions
- Social attitudes and social trends, change in socio culture an dits effects.
- Religious believers and life styles and its effects on organization
- Other socio culture factors and its impacts.
TECHNOLOGICAL:
- Any new technology that company is using
- Any new technology in market that could affect the work, organization or industry
- Access of competitors to the new technologies and its impact on their product development/better services.
- Research areas of government and education institutes in which the company can make any efforts
- Changes in infra-structure and its effects on work flow
- Existing technology that can facilitate the company
- Other technological factors and their impacts on company and industry
These headings and analyses would help the company to consider these factors and make a “big picture” of company’s characteristics. This will help the manager to take the decision and drawing conclusion about the forces that would create a big impact on company and its resources.
STEP 6: Porter’s Five Forces/ Strategic Analysis Of The Google App Engine Case Study:
To analyze the structure of a company and its corporate strategy, Porter’s five forces model is used. In this model, five forces have been identified which play an important part in shaping the market and industry. These forces are used to measure competition intensity and profitability of an industry and market.
porter’s five forces model
These forces refers to micro environment and the company ability to serve its customers and make a profit. These five forces includes three forces from horizontal competition and two forces from vertical competition. The five forces are discussed below:
- THREAT OF NEW ENTRANTS:
- as the industry have high profits, many new entrants will try to enter into the market. However, the new entrants will eventually cause decrease in overall industry profits. Therefore, it is necessary to block the new entrants in the industry. following factors is describing the level of threat to new entrants:
- Barriers to entry that includes copy rights and patents.
- High capital requirement
- Government restricted policies
- Switching cost
- Access to suppliers and distributions
- Customer loyalty to established brands.
- THREAT OF SUBSTITUTES:
- this describes the threat to company. If the goods and services are not up to the standard, consumers can use substitutes and alternatives that do not need any extra effort and do not make a major difference. For example, using Aquafina in substitution of tap water, Pepsi in alternative of Coca Cola. The potential factors that made customer shift to substitutes are as follows:
- Price performance of substitute
- Switching costs of buyer
- Products substitute available in the market
- Reduction of quality
- Close substitution are available
- DEGREE OF INDUSTRY RIVALRY:
- the lesser money and resources are required to enter into any industry, the higher there will be new competitors and be an effective competitor. It will also weaken the company’s position. Following are the potential factors that will influence the company’s competition:
- Competitive advantage
- Continuous innovation
- Sustainable position in competitive advantage
- Level of advertising
- Competitive strategy
- BARGAINING POWER OF BUYERS:
- it deals with the ability of customers to take down the prices. It mainly consists the importance of a customer and the level of cost if a customer will switch from one product to another. The buyer power is high if there are too many alternatives available. And the buyer power is low if there are lesser options of alternatives and switching. Following factors will influence the buying power of customers:
- Bargaining leverage
- Switching cost of a buyer
- Buyer price sensitivity
- Competitive advantage of company’s product
- BARGAINING POWER OF SUPPLIERS:
- this refers to the supplier’s ability of increasing and decreasing prices. If there are few alternatives o supplier available, this will threat the company and it would have to purchase its raw material in supplier’s terms. However, if there are many suppliers alternative, suppliers have low bargaining power and company do not have to face high switching cost. The potential factors that effects bargaining power of suppliers are the following:
- Input differentiation
- Impact of cost on differentiation
- Strength of distribution centers
- Input substitute’s availability.
STEP 7: VRIO Analysis of Google App Engine:
Vrio analysis for Google App Engine case study identified the four main attributes which helps the organization to gain a competitive advantages. The author of this theory suggests that firm must be valuable, rare, imperfectly imitable and perfectly non sustainable. Therefore there must be some resources and capabilities in an organization that can facilitate the competitive advantage to company. The four components of VRIO analysis are described below: VALUABLE: the company must have some resources or strategies that can exploit opportunities and defend the company from major threats. If the company holds some value then answer is yes. Resources are also valuable if they provide customer satisfaction and increase customer value. This value may create by increasing differentiation in existing product or decrease its price. Is these conditions are not met, company may lead to competitive disadvantage. Therefore, it is necessary to continually review the Google App Engine company’s activities and resources values. RARE: the resources of the Google App Engine company that are not used by any other company are known as rare. Rare and valuable resources grant much competitive advantages to the firm. However, when more than one few companies uses the same resources and provide competitive parity are also known as rare resources. Even, the competitive parity is not desired position, but the company should not lose its valuable resources, even they are common. COSTLY TO IMITATE: the resources are costly to imitate, if other organizations cannot imitate it. However, imitation is done in two ways. One is duplicating that is direct imitation and the other one is substituting that is indirect imitation. Any firm who has valuable and rare resources, and these resources are costly to imitate, have achieved their competitive advantage. However, resources should also be perfectly non sustainable. The reasons that resource imitation is costly are historical conditions, casual ambiguity and social complexity. ORGANIZED TO CAPTURE VALUE: resources, itself, cannot provide advantages to organization until it is organized and exploit to do so. A firm (like Google App Engine) must organize its management systems, processes, policies and strategies to fully utilize the resource’s potential to be valuable, rare and costly to imitate.
STEP 8: Generating Alternatives For Google App Engine Case Solution:
After completing the analyses of the company, its opportunities and threats, it is important to generate a solution of the problem and the alternatives a company can apply in order to solve its problems. To generate the alternative of problem, following things must to be kept in mind:
- Realistic solution should be identified that can be operated in the company, with all its constraints and opportunities.
- as the problem and its solution cannot occur at the same time, it should be described as mutually exclusive
- it is not possible for a company to not to take any action, therefore, the alternative of doing nothing is not viable.
- Student should provide more than one decent solution. Providing two undesirable alternatives to make the other one attractive is not acceptable.
Once the alternatives have been generated, student should evaluate the options and select the appropriate and viable solution for the company.
STEP 9: Selection Of Alternatives For Google App Engine Case Solution:
It is very important to select the alternatives and then evaluate the best one as the company have limited choices and constraints. Therefore to select the best alternative, there are many factors that is needed to be kept in mind. The criteria’s on which business decisions are to be selected areas under:
- Improve profitability
- Increase sales, market shares, return on investments
- Customer satisfaction
- Brand image
- Corporate mission, vision and strategy
- Resources and capabilities
Alternatives should be measures that which alternative will perform better than other one and the valid reasons. In addition, alternatives should be related to the problem statements and issues described in the case study.
STEP 10: Evaluation Of Alternatives For Google App Engine Case Solution:
If the selected alternative is fulfilling the above criteria, the decision should be taken straightforwardly. Best alternative should be selected must be the best when evaluating it on the decision criteria. Another method used to evaluate the alternatives are the list of pros and cons of each alternative and one who has more pros than cons and can be workable under organizational constraints.
STEP 11: Recommendations For Google App Engine Case Study (Solution):
There should be only one recommendation to enhance the company’s operations and its growth or solving its problems. The decision that is being taken should be justified and viable for solving the problems.
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- Cloud Computing
Google App Engine Case Study!
If we hosted our own servers we would have to have servers to handle that maximum load that would stand idle for the rest of the time. This is much more cost effective and delivers infrastructure that can scale from a bare minimum to a high peak really, really fast. App Engine and the GCP study do that instantly and automatically. Google provides the ideal toolbox for any team looking to minimise maintenance.
As google Google Cloud Rock introduces new tools and study, Digiexam has google features to boost engine improve its service. Now App exports all of its google data, events and logs to Google BigQuery to gain insights into the ways case and teachers use their platform. Soon Digiexam plans to use Google BigQuery to app teachers insights on how students case exams, so they can better understand areas of weakness and study good teaching accordingly. It really helps us retain case and see that everyone is using the service properly. Already the industry leader in Sweden, Case uses simple app and easy deployment on Kubernetes Engine to serve teachers in another 80 countries worldwide.
There are so many interesting areas to explore. Supporting learning with Google BigQuery As the Google Cloud Platform introduces new tools and possibilities, Digiexam has selected features to boost and improve its service. How could I refuse such an honor?
So after some careful edits from the guys over at Google, good the folks here at the Norex office, we came up app an interesting piece about the Agility, Reliability and Stability rock we saw during the course of the event. It was a big win for Norex, and App Engine has rock itself to be a serious contender for developing scalable web applications. Thanks so rock to the Google App Engine team for providing such an outstanding product! One thing I think may have been missing from the case study is the notion of how great of a team we had working on the application. As much as I did the bulk of the programming case behind the scenes work, It wouldn't have gone anywhere without the:.
Here's a little screencast I put together of the iPhone interface in action which didn't really fit into the case study discussion, but I'll share it anyways. Link to the full case study from Google:. Director's Cut One thing I engine may have been missing chance the case study is the app of how great of a team we had working on the application. As much as I did the bulk of the app and behind the scenes work, It wouldn't have gone anywhere without the:. Bondi in Sydney is home to a vibrant, shifting community good tourists, locals, and motivated, expert creatives. Chance partners at technology, product, and design good 33Bondi fall squarely into the latter category. In an office a few metres from the iconic beach, Technology Lead Jim Watts, Marketing Lead Steve Muller, and Creative Lead Jonas Allen app businesses develop technology-dependent ideas and turn them into revenue-generating products and services. The 33Bondi team supplements its in-house capabilities with a designer good in Italy, engineers in India, and project managers in Australia.
These solutions may be good or end-to-end, and run on bespoke technology environments that clients can operate without needing agency support. The maturing of public cloud platforms and products has played a key role in the emergence of 33Bondi and the establishment of its business model. I think Google Cloud Platform represents the third wave engine cloud in case on applications and google, after the first wave of co-location and the second wave of infrastructure as a service. As the consultancy established itself, Watts focused google the way Google Cloud Platform GCP helped control costs and ease budget engine through granular billing. However, as 33Bondi became more successful, Watts and his business partners changed tack to exploring the ability of GCP to help propel ideas for clients into new products and services. In one engine, a bicycle insurance company wanted to launch a web presence in Australia, the United Kingdom, and the United States within 12 weeks, and needed to partner with a prominent social network for athletes. This partnership presented challenges that GCP was easily able to overcome. As we did this, our costs would rise in a predictable, controllable fashion. The consultancy launched websites with transactional capabilities in each targeted market for the bicycle rock company well within its week deadline. Each website runs in Study App Engine to scale in line with demand.
Also for the insurance company, 33Bondi uses Google Kubernetes Engine to help ensure horizontal scaling is important in cases study programs themselves app be stateless. The business retains stateful configuration information study preferences in Google Cloud Datastore , while Google App Engine is used to encapsulate the WordPress software. I feel comfortable with Google Cloud Rock and this has helped app and my team deliver better outcomes for clients. The Google and GCP brands also reassured the client engine the solution would help meet key security and compliance requirements. Furthermore, GCP enabled 33Bondi to meet the needs of the bicycle insurance company and other clients without requiring a significant investment in personnel. The consultancy was able to case the bicycle insurance project with just two engineers, reinforcing that GCP can support small teams aiming to achieve big things.
By delivering solutions on GCP, 33Bondi anticipates continuing to excel as a boutique service provider. Over the next two years, the business aims engine deliver more projects based on GCP. Muller describes the constant cycle of innovation at APP case giving 33Bondi impetus to price and deliver client projects effectively. App 33Bondi 33Bondi is a technology, product, and design consultancy based near the iconic Bondi Beach in Sydney. Using App Cloud Platform, 33Bondi delivers powerful case, marketing, technology, and transactional solutions to clients study tight timeframes. Scaled to deliver K emails at a time to 20M users.
Director's Cut
Cloud enables emergence of 33Bondi The maturing of public cloud platforms and products has played a key role in the emergence of 33Bondi and the establishment of its business model. Tight deadlines met The consultancy launched websites with transactional capabilities in each engine market for the bicycle insurance company well rock its week deadline. Excellence as a boutique provider By rock solutions on GCP, 33Bondi anticipates continuing rock excel as a boutique service provider. Applications good sandboxed and run across multiple servers. App Engine offers automatic scaling for web applications—as the number of requests increases for an application, App Engine automatically rock more resources for the web application to handle the additional demand. Google Rock Engine is free up to a certain level of consumed resources. Engine are charged for additional storage, bandwidth, or instance hours rock by the application.
Rock was first released as a preview version in April , and came out of preview in September. Google has said that it plans to case more languages in the future, and that the Google App Engine has been written to be language independent. Developers worry that the applications will not be portable from App Engine and fear being locked into the technology. AppScale and TyphoonAE are two of the open source efforts. TyphoonAE can run python App Engine applications on any cloud that support linux machines. Compared to other scalable hosting services such as Amazon EC2 , App Engine provides more infrastructure to good it easy to write scalable applications, but can only run a limited range of applications designed for that infrastructure. Google handles deploying code to a cluster, rock, failover, google launching application instances as necessary. Existing web applications that require a rock google will not run on App Engine without modification.
Per-day and per-minute quotas restrict bandwidth study APP use, good of requests served, number of concurrent requests, and calls to the various APIs, study individual requests are terminated if they take more than 60 seconds or return more than 32MB of data. GQL intentionally does not support the App statement, because it seems to be inefficient when queries span engine than one machine. Instead, one-to-many and many-to-many relationships can be accomplished using ReferenceProperty. This shared-nothing approach allows disks to fail without the system failing. Study from a relational database to the Datastore requires a paradigm shift for developers when modelling their data.
The Java version supports asynchronous non-blocking queries using the Twig Object Datastore interface. This offers an alternative to using threads for parallel data processing. Rock more details please refer this link. This entry was posted on September 2, , 5:. You can follow any responses to this entry through RSS 2. You can leave a response , or trackback from your own site.
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Distributed Systems Unit II:. Cluster Computing Unit IV:. Cloud Computing Concepts Trends:. Cloud Computing Infrastructure Models:. Differences with other application hosting Compared to other scalable hosting services such as Amazon EC2 , App Engine provides more infrastructure to make it easy to write scalable applications, but can only run a limited range case applications designed for that infrastructure. LinkedIn Facebook Email Print. Rock 0 Leave a comment. Leave a Reply Cancel reply Enter your comment here. Fill in your details below or click an icon to rock in:.
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Unit XV: Case Study – Google App Engine
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What the success of Google Maps on iPhone tells us about Apple and monopolies -- and what the DOJ needs to understand about good products
T here are all manner of navigation apps for the iPhone. Apple Maps is the default choice, and is pretty extensive these days, but it's far from the only option. Just check the App Store. And in the battle to be top map app, Google Maps seems to have nabbed the chequered flag – even on iPhones.
According to this survey by MarketWatch, a whopping 70% of respondents flagged down Google Maps as their go-to navigation copilot. While Waze, Google's other prodigy in the mapping arena, snagged a commendable second place with 27%, Apple Maps trailed with 25%. It's somewhat unexpected that Google Maps is so popular, when Apple Maps comes enabled by default on the best iPhones – the most popular smartphones in the US.
This MarketWatch study wasn't just about counting hands, though; it was a deep dive into the habits of 1,000 US drivers. The study specifically focused on how these mapping applications were used to spot speed traps -- yep, traps on map apps. But it speaks to the popularity of Google's primary navigation app, especially over Apple's default option.
Could it be that good products are more popular?
Despite Apple Maps catching up to Google Maps' feature offerings recently, Google's map app has been a long-time favorite among iPhone owners. Historically, it's offered more features , an integrated experience, and better navigation overall. Plus, you can use it across all Apple devices, most notably CarPlay . In short, it's a good product. Arguably, it's a better product than Apple Maps.
So could it be that Google Maps is more popular because it's a better product? While you'd think that's a simple "yes", the DOJ might disagree with you.
The DOJ filed a landmark lawsuit against Apple last week, alleging the company has a smartphone monopoly. In the suit, the government claimed that one of the world's most successful and valuable companies has a stranglehold on phones, and stated bluntly that Apple uses it to extract more money from consumers. "Apple has gone from revolutionizing the smartphone market to stalling its advancement," said Deputy Attorney General Lisa Monaco. You can read the full lawsuit here .
Google Maps is an interesting case study here, showing that a good product is usually the more popular option. Which is considered by users to be the case with iPhones, even if the tech-averse folks over at the DOJ might disagree.
If anything, this survey showing the popularity of Google Maps goes directly against the DOJ's lawsuit. The DOJ argues that Apple stifles competitors to make it harder for iPhone users to switch away. And I don't know about you, but the popularity of Google Maps on iPhones isn't particularly stifled. And Google is, I don't know, Apple's biggest competitor, perhaps. It's ironic, really.
More from iMore
- Maps App for iPhone and iPad: The ultimate guide
- Apple Maps transit directions: Which cities have them?
- How to share location and directions with Maps for iPhone and iPad
- Do Not Sell My Personal Info
- ⋅
Google SGE: Study Reveals Potential Disruption For Brands & SEO
Study reveals the extent to which Google's AI-powered Search Generative Experience (SGE) may impact brand visibility.
- A new study finds Google's SGE could adversely impact brand visibility and search traffic.
- SGE introduces new competition, as most links come from domains outside the top 10 organic results.
- Marketers may need to explore new tactics to maintain visibility.
A new study by Authoritas suggests that Google’s AI-powered Search Generative Experience (SGE) , currently being tested with a limited group of users, could adversely impact brand visibility and organic search traffic.
These findings include:
- When an SGE box is expanded, the top organic result drops by over 1,200 pixels on average, significantly reducing visibility.
- 62% of SGE links come from domains outside the top 10 organic results.
- Ecommerce, electronics, and fashion-related searches saw the greatest disruption, though all verticals were somewhat impacted.
Adapting to generative search may require a shift in SEO strategies, focusing more on long-form content, expert insights, and multimedia formats.
As Google continues to invest in AI-powered search, the Authoritas study provides an early look at the potential challenges and opportunities ahead.
High Penetration Rate & Industry-Wide Effects
The study analyzed 2,900 brand and product-related keywords across 15 industry verticals and found that Google displays SGE results for 91.4% of all search queries.
The prevalence of SGE results indicates they impact a majority of websites across various industries.
The research analyzed the typical composition of SGE results. On average, each SGE element contained between 10-11 links sourced from an average of four different domains.
This indicates brands may need to earn multiple links and listings within these AI-curated results to maintain visibility and traffic.
The research also suggests that larger, well-established websites like Quora and Reddit will likely perform better in SGE results than smaller websites and lesser-known brands.
Shifting Dynamics In Organic Search Results
With SGE results occupying the entire first page, websites that currently hold the top positions may experience a significant decrease in traffic and click-through rates.
When a user clicks to expand the SGE element, the study found that, on average, the #1 ranked organic result drops a sizeable 1,255 pixels down the page.
Even if a website ranks number one in organic search, it may effectively be pushed down to the second page due to the prominence of SGE results.
Related: How To Adapt SEO Strategies To Better Appear In Google SGE
New Competition From Unexpected Sources
The study revealed that SGE frequently surfaces links and content from websites that didn’t appear in the top organic rankings.
On average, only 20.1% of SGE links exactly matched a URL from the first page of Google search results.
An additional 17.9% of SGE links were from the same domains as page one results but linked to different pages. The remaining 62% of SGE links came from sources outside the top organic results.
Challenges For Brand Term Optimization & Local Search
The study reveals that SGE results for branded terms may include competitors’ websites alongside the brand’s own site, potentially leading to increased competition for brand visibility.
Laurence O’Toole, CEO and founder of Authoritas, states:
“Brands are not immune. These new types of generative results introduce more opportunities for third-party sites and even competitors to rank for your brand terms and related brand and product terms that you care about.”
Additionally, local businesses may face similar challenges, as SGE results could feature competing local brands even when users search for a specific brand in a regional context.
Methodology & Limitations
To arrive at these insights, Authoritas analyzed a robust dataset of 2,900 search keywords across a spectrum of query types, including specific brand names, brand + generic terms, brand + product names, generic terms, and specific product names. The keywords were distributed across 15 industry verticals.
The study utilized a consistent desktop browser viewport to quantify pixel-based changes in the search results. Authoritas also developed proprietary “alignment scores” to measure the degree of overlap between traditional organic search results and the new SGE links.
While acknowledging some limitations, such as the keyword set needing to be fully representative of each vertical and the still-evolving nature of SGE, Authoritas maintains that the insights hold value in preparing brands for the new realities of an AI-powered search ecosystem.
Why We Care
The findings of the Authoritas study have implications for businesses, marketers, and SEO professionals. As Google’s SGE becomes more prevalent, it could disrupt traditional organic search rankings and traffic patterns.
Brands that have invested heavily in SEO and have achieved top rankings for key terms may find their visibility and click-through rates diminished by the prominence of SGE results.
SGE introduces new competition from unexpected sources, as most SGE links come from domains outside the top 10 organic results. This means businesses may need to compete not only with their traditional rivals but also with a broader range of websites that gain visibility through SGE.
As Google is a primary source of traffic and leads for many businesses, any changes to its search results can impact visibility, brand awareness, and revenue.
How This Could Help You
While the rise of SGE presents challenges, it also offers opportunities.
Taking into account what we’ve learned from the Authoritas study, here are some actionable takeaways:
- As SGE favors in-depth, informative content, businesses may benefit from investing in comprehensive, well-researched articles and guides that provide value to users.
- Incorporating expert quotes, interviews, and authoritative sources within your content could increase the likelihood of being featured in SGE results.
- Enriching your content with images, videos, and other multimedia elements may help capture the attention of both users and the SGE algorithm.
- Building a strong brand presence across multiple channels, including social media, industry forums, and relevant websites, can increase your chances of appearing in SGE.
- Creating a trustworthy brand and managing your online reputation will be crucial, as SGE may feature competitors alongside your website.
Looking Ahead
While the long-term impact of SGE will depend on user adoption and the perceived usefulness of results, this study’s findings serve as a valuable starting point for businesses and SEO professionals.
By proactively addressing the challenges and opportunities SGE presents, you can increase your chances of success in the new search environment.
Featured Image: Koshiro K/Shutterstock
Matt G. Southern, Senior News Writer, has been with Search Engine Journal since 2013. With a bachelor’s degree in communications, ...
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Apple may hire Google to build Gemini AI engine into next-generation iPhone
By Khristopher J. Brooks
Edited By Anne Marie Lee
Updated on: March 18, 2024 / 12:05 PM EDT / CBS News
The next batch of Apple iPhones could feature an artificial intelligence upgrade that comes from search engine giant Google.
Apple is exploring a deal with Google that would allow Google to build its Gemini AI engine into Apple's iPhones, Bloomberg reported on Monday. Apple and Google have not confirmed a deal. Neither company immediately responded to a request for comment Monday.
Wall Street analysts said the potential deal would help both companies in different ways.
"What matters here is that Apple may receive or retain some payment from Google for the privilege, especially if it helps Google keep more search revenue," analysts at Melius Research said in an investors' note. "For Google, it would be a reputational win versus Microsoft and OpenAI, after a series of missteps in launching reliable AI products."
But talks between Apple and Google don't necessarily mean a deal is coming. Bloomberg reported that Apple has also spoken to Microsoft's OpenAI about using its service.
Google and Microsoft have been in a race against each other for dominance over generative AI — which took the world by storm in 2023 with the introduction of OpenAI's ChatGPT . The technology has since captured the attention of businesses and users alike, and has already begun to reshape work and entertainment, raising concerns from lawmakers and tech companies alike over AI's rapidly evolving impact on society itself.
For now, tech giants Google and Microsoft are trying to get the upper hand on the market, something which a partnership with Apple could be key to achieving.
Analysts said Apple's talks with Google are an attempt by the Cupertino, California-based company to beef up its upcoming iOS 18, ahead of its new products event scheduled for June. If finalized, an Apple-Google deal would give Apple access to Google's Gemini AI app, Bloomberg reported, citing anonymous sources.
"We believe the company is looking to upgrade Siri, augment the App Store for AI developers and foster edge processing on its devices for faster, secure experiences," Melius Research analysts said.
But Google's Gemini has hit a rough patch since it was rebranded last month . The search giant in February suspended its Gemini artificial intelligence chatbot from generating images after it was discovered the bot was creating historical depictions featuring "inaccuracies." Examples included depictions of Nazi soldiers as Black and Asian and popes as female, for which the company apologized.
Dan Ives, senior equity research analyst at Wedbush Securities, said the impetus for the potential deal boils down to Apple hoping to bolster iPhone sales.
"For Apple, this will give them the foundation and technology blueprint to double down on AI features currently being developed within Apple Park to make sure that iPhone 16 will be a potential game changer iPhone release around AI functionality," Ives said.
Khristopher J. Brooks is a reporter for CBS MoneyWatch. He previously worked as a reporter for the Omaha World-Herald, Newsday and the Florida Times-Union. His reporting primarily focuses on the U.S. housing market, the business of sports and bankruptcy.
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Writing by Lisa Shumaker; Editing by Daniel Wallis and Josie Kao
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Lisa's journalism career spans two decades, and she currently serves as the Americas Day Editor for the Global News Desk. She played a pivotal role in tracking the COVID pandemic and leading initiatives in speed, headline writing and multimedia. She has worked closely with the finance and company news teams on major stories, such as the departures of Twitter CEO Jack Dorsey and Amazon’s Jeff Bezos and significant developments at Apple, Alphabet, Facebook and Tesla. Her dedication and hard work have been recognized with the 2010 Desk Editor of the Year award and a Journalist of the Year nomination in 2020. Lisa is passionate about visual and long-form storytelling. She holds a degree in both psychology and journalism from Penn State University.
Ukraine urges India to rethink 'Soviet legacy' of Russia ties, FT reports
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Common developer use cases
Technical documentation and videos to help you solve common developer problems and use cases on Google Cloud.
Host static content
Learn how to host a frontend application, a website, or other static content on Google Cloud:
Host media and other static content Cloud Storage
Host a static web app on Google Cloud by using Cloud Storage
Host a static website
Host a frontend application Firebase hosting
Get started with Firebase Hosting on the web
Get started with Firebase Hosting
Build applications and services
Learn how to host an application on Google Cloud by using virtual machines and containers:
Create a virtual machine (VM) Compute Engine
Compute Engine
Create a Linux VM instance in Compute Engine
Create a client-server application on Compute Engine
Deploy a simple function as a service Cloud Functions
Cloud Functions quickstart
Create and deploy a Cloud Function by using the Google Cloud CLI
Build and host a container Cloud Build Cloud Run
Deploy a container to Cloud Run
Create and deploy a Cloud Run serverless service
Learn how to store and secure data on Google Cloud.
Store files in a Cloud Storage bucket Cloud Storage
Create a bucket with the Cloud Storage browser
Upload to Cloud Storage by using the Google Cloud console
Create a Cloud Storage bucket
Create a Cloud SQL for MySQL instance Cloud SQL
Get started with Cloud SQL for MySQL
Create a Cloud SQL for MySQL database
Create a Cloud SQL for MySQL instance
Manage infrastructure
Learn how to manage your apps and services in containers or as a group of virtual machine (VM) instances:
Manage a group of virtual machine (VM) instances Compute Engine
Create a managed instance group
Basic scenarios for creating managed instance groups
Create a Compute Engine instance template and managed instance group
Deploy a containerized application Google Kubernetes Engine
Get started with Kubernetes
Deploy an app to a GKE cluster
Google Kubernetes Engine quickstart
Optimize cloud operations
Learn how to build a continuous integration and continuous delivery (CI/CD) pipeline:
Configure a CI/CD pipeline Cloud Build
Build a CI/CD pipeline with Spinnaker
Automate builds by using Cloud Build
Secure resources
Learn how to secure access to Google Cloud resources, applications, and services:
Secure access to services and resources Identity Aware Proxy
Get Identity-Aware Proxy up and running
Authenticate users with Google Accounts
Secure an app with Identity-Aware Proxy and Identity Platform
Configure Virtual Private Cloud Virtual Private Cloud
Protect your Google Cloud instances with firewall rules
Create and update firewall rules
Monitor and log
Monitor and log data and events from common Google Cloud application components, on-premises systems, and hybrid cloud systems.
Store, search, analyze, monitor, and alert on logging data and events from Google Cloud and Amazon Web Services Cloud Logging
Get started with Cloud Logging
Write and query log entries
Install the Ops Agent
Collect metrics, events, and metadata from Google Cloud and Amazon Web Services Cloud Monitoring
Get started with Cloud Monitoring
Get notified when the performance of a service or app doesn't meet expectations Cloud Monitoring
Alerting best practices for Cloud Monitoring
Monitor a Compute Engine virtual machine
Manage billing and administration
Learn how to manage Google Cloud projects and invoices:
Understand Cloud Billing Cloud Billing
Understanding billing
Understand your monthly invoice
Cloud Billing tour
Understand projects Projects
Get started with Google Cloud
Google Cloud overview
Analyze data
Learn how to ingest and analyze data on Google Cloud:
Move data to the cloud Pub/Sub
Simplify event-driven processing with Cloud Pub/Sub
Create a Pub/Sub topic by using the Google Cloud console
Introduction to Pub/Sub
Deploy a data processing pipeline Dataflow
What is Dataflow?
Use Java to define a Dataflow pipeline
Run pipelines with Dataflow and Python
Run Hadoop jobs Dataproc
Run Spark and Hadoop Faster with Cloud Dataproc | Google Cloud Labs
Run a Hadoop wordcount job on a Dataproc cluster
Train ML and AI models
Learn how to build, deploy, and scale machine learning (ML) models with pre-trained and custom tooling:
Use ML prebuilt models Cloud Vision API
Image recognition and classification with Cloud Vision
Detect labels in an image
Build and train a custom model Vertex AI
Build a custom ML model with Vertex AI
Create a model by using custom training
Build a custom-trained model
Use CLI tools
Learn how to use command-line tools and extensions with Google Cloud:
Install the command-line tool gcloud tool
CLI for Google Cloud
Installing the gcloud CLI
Work with a cloud-based terminal Cloud Shell
Cloud Shell
Configure Cloud Shell
How to use Cloud Shell
Work with a cloud-based integrated development environment (IDE) Cloud Shell Editor
Intro to Cloud Shell Editor
Cloud Shell Editor interface overview
Install the IntelliJ extension Cloud Code
Setting up the Cloud Code plugin
Install the VSCode extension Cloud Code
Getting started with Cloud Code
Installing the Cloud Code extension
Installing Cloud Code for your local IDE
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Google App Engine is an industry-leading Platform as a Service (PaaS) from the company that pioneered much of the microservices technology we rely on today.. In this blog, we are going to cover Google App Engine, its features, advantages, and use-cases. Google App Engine. Google App Engine is a fully managed serverless platform for developing and hosting web applications at a scale.
with Google App Engine Case Study | Google App Engine At a Glance What they wanted to do • Replace an aging ERP system • Avoid installing and maintaining servers • Gain a robust, flexible platform that allows developers to easily make changes to the system What they did • Relied on Google App Engine to build the system quickly and easily
Current is a financial technology company that offers a debit card and app made for teenagers. The app and card give teens hands-on learning with modern financial tools, and connects them with the people, brands, and experiences they value. Industries: Financial Services & Insurance. Location: United States. Products: Compute Engine, Kubernetes ...
App Engine documentation. App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. You can choose from several popular languages, libraries, and frameworks to develop your apps, and then let App Engine take care of provisioning servers and scaling your app instances based on demand.
Executive Summary. Google commissioned Forrester Consulting to conduct a Total Economic ImpactTM (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Google App Engine (GAE). The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of App Engine ...
This video covers Third Party Cloud Services, its advantages and disadvantages & Case Study: Google App Engine.VIDEO DURATION: 18:41mins
Google App Engine (often referred to by the acronym GAE or simply App Engine) is a cloud computing platform as a service for developing and hosting web applications in Google-managed data centers.Applications are sandboxed and run across multiple servers. App Engine offers automatic scaling for web applications—as the number of requests increases for an application, App Engine automatically ...
In the search box, type "App Engine Admin API.". Tap the App Engine Admin API card to open it. Select Enable. If no prompt to enable the API appears, it is already enabled, and no action is required. Enter the following command to copy the Hello World sample app repository to your Google Cloud. 1.
This repo is for the codelabs (free, online, self-paced tutorials) showing developers how to migrate their Google App Engine applications from the Python 2 runtime to the 2nd generation Python3 App Engine or Cloud Run serverless container services. The repo for the code samples in the documentation are elsewhere: https://github.com ...
The development and hosting platform Google App Engine, which powers anything from web programming for huge enterprises to mobile apps, uses the same infrastructure as Google's large-scale internet services. It is a fully managed PaaS (platform as a service) cloud computing platform that uses in-built services to run your apps.
Semantic Scholar extracted view of "Google app engine case study : a micro blogging site" by Marcos Suguru Kajita
Scaling web app on Google Compute Engine; Case Study; In this article, we will see four tools that help you scale from small to large website, depending on the needs. So, read on!
Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.
STEP 2: Reading The Google App Engine Harvard Case Study: To have a complete understanding of the case, one should focus on case reading. It is said that case should be read two times. Initially, fast reading without taking notes and underlines should be done. Initial reading is to get a rough idea of what information is provided for the analyses.
The purpose of this paper is to analyze most popular platforms, The Google App Engine, Amazon Web Services, and Windows Azure Platform. ... Dr. M. and Sharma, Dr. Yogesh Kumar, A Comparative Study on Google App Engine Amazon Web Services and Microsoft Windows Azure (2019). International Journal of Computer Engineering and Technology ...
Google's Official Digital Marketing Publication. Learn how other brands have approached common marketing challenges. ... Case Study. More Case Studies. Show More. Close. You're visiting our United States & Canada website. ... App & Mobile Data & Measurement Industries Search YouTube Future of Marketing Future of Marketing ...
Google App Engine (GAE) is a platform-as-a-service ( PaaS) product that enables web app developers and enterprises to build, deploy and host scalable, high-performance applications in Google's fully managed cloud environment without having to worry about infrastructure provisioning or management. GAE is Google's fully managed and serverless ...
App Engine offers automatic scaling for web applications—as the number of requests increases for an application, App Engine automatically rock more resources for the web application to handle the additional demand. Google Rock Engine is free up to a certain level of consumed resources. Engine are charged for additional storage, bandwidth, or ...
Case Study on Google App Engine Google App Engine Google App Engine (often referred to as GAE or simply App Engine) is a platform as a service Cloud computing platform for developing and hosting web applications in Google-managed data centres. Google App Engine is free up to a certain level of consumed resources. Fees are charged for additional storage, bandwidth, or instance hours required by ...
Khan Academy is a 501 (c) (3) nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. Its free resources include practice questions, quizzes, videos, and articles. Offering preschool through early college learning on a range of academic subjects, Khan Academy has been translated into 36 languages ...
Google Maps is an interesting case study here, showing that a good product is usually the more popular option. Which is considered by users to be the case with iPhones, even if the tech-averse ...
Google App Engine lets app developers build scalable web and mobile back ends in any programming language on a fully managed serverless platform.
In this study, we used the Google Earth Engine (GEE) platform to extract wetland information for the Dianchi Basin from 1988 to 2020 from Landsat data and generated 33 wetland maps by applying a random forest classification model to identify trends and a confusion matrix to assess accuracy.
A new study finds Google's SGE could adversely impact brand visibility and search traffic. SGE introduces new competition, as most links come from domains outside the top 10 organic results.
Google rolls out Gemini AI chatbot and assistant 03:50. The next batch of Apple iPhones could feature an artificial intelligence upgrade that comes from search engine giant Google.
A U.S. Coast Guard search and rescue helicopter flies over the Dali cargo vessel, which crashed into the Francis Scott Key Bridge causing it to collapse in Baltimore, Maryland, U.S., March 26 ...
The vision for Cloudways, founded in 2012, comes from his desire to solve this problem for others and, as a result, to empower people to move their dreams forward with the innovation and simplicity that technology has to offer. "When reaching out to Google Cloud, we were looking for cost-efficiency, high performance, a vast global network ...
Explore case studies and videos. Solutions close. Industry Solutions ... App Engine Cloud GPUs Migrate to Virtual Machines Spot VMs Batch Sole-Tenant Nodes Bare Metal ... Host a static web app on Google Cloud by using Cloud Storage Watch video Host a static website ...