Cloud Computing Complete lecture Notes CCII.pptx
- 1. 05201345 - Cloud Computing - II
- 2. Mod-2 • Working with Google App Engine Google App Engine (GAE), Development of scalable web application on Google cloud, Build and deploy simple web applications to Google cloud, Develop simple application using Google App Engine (GAE) and its services, Exploring PaaS with App Engine, Event Driven Programs with Cloud Functions, Containerizing and Orchestrating Apps with GKE.
- 3. Google App Engine(GAE) • Google App Engine is mostly used to run Web applications. • App Engine makes it easier to develop scalable and high-performance Web apps. • 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.
- 4. Environments available in Google App Engine • GAE provides two types of app development environments. • In the standard environment, applications run in a sandbox using the runtime environment of one of the languages supported by GAE. The environment is suitable for applications that need to scale rapidly (up or down) in response to sudden or extreme traffic spikes
- 5. Cont., • The GAE flexible environment automatically scales apps up or down while also balancing the load. It allows developers to customize the runtimes provided for the supported languages or provide their own runtime by supplying a custom Docker image or Dockerfile.
- 6. Cont., • The environment is suitable for many kinds of apps, including apps that do the following: • Receive consistent traffic. • Experience regular traffic fluctuations. • Run in a Docker container with a custom runtime or source code written in other programming languages. • Use frameworks with native code. • Access Google Cloud project resources residing in the Google Compute Engine network.
- 7. GAE's key features • Blobstore for serving large data objects. • GAE Cloud Storage to read and write files during app runtime. • Page Speed Service for automatically speeding up webpage load times. • URL Fetch Service to issue HTTP requests and receive responses for efficiency and scaling. • Mem cache to cache data in-memory and speed up database operations.
- 8. Development of scalable web application on Google cloud • The easiest definition of scalability would sound like the ability of a web app to deal with increasing load without breaking down. It means that no matter how many users on how many platforms are present in one moment, the app will perform equally well for all of them.
- 9. examples of scalable web applications • Bitly • Bitly is the app that provides link optimization services to individuals and businesses. Bitly helps improve interactions with customers and build brand awareness. Also, the app has data collection and real-time analytics functionality, so it becomes easy to monitor business performance. • Slack • Slack is a business app that helps to connect employees. It has rich functionality that simplifies teamwork:
- 10. Cont., • Dropbox • Dropbox is one of the most famous file- sharing services. The solution makes it possible to keep business data securely and enhances teams’ collaboration by bringing it to one place. Dropbox is used by Spotify, National Geographic, and other businesses, both big and small.
- 11. Why should you build a scalable web application? • Imagine that your marketing campaign for a trip planner app attracted lots of users and, at some point, the app has to simultaneously serve hundreds of thousands of them. That means millions of requests and operations processed at the same time and a high load on your server. If designed improperly, the system just won’t be able to handle it.
- 12. scalable app architecture • Scalable software platform: separation of concerns and horizontal scaling. • Separation of concerns: • Sometimes apps are engineered in a way that one server does the whole job: handles user requests, stores user files, etc. In other words, it does the job that should normally be done by several separate servers. • Consequently, when the server gets overloaded, the entire app is affected: pages won’t open, images won’t load, etc. To avoid this, ensure the separation of concerns.
- 13. Cont., • For example, an API server handles priority client-server requests that require an instant reply. a user wants to change their profile image. After the image is uploaded, it usually undergoes certain processing: for example, it can get resized, analyzed for explicit content, or saved in storage.
- 14. Horizontal scaling • How many requests is your server able to handle? Basically, it depends on its specifications: RAM and CPU capacity. What happens when there is only one server that handles all of the tasks? After the load goes beyond the server capacity, the server crashes and the app doesn’t respond until the server recovers. • The idea behind horizontal scaling lies in the distribution of the load between several servers. Each server runs a snapshot (or a copy) of the application and is enabled or disabled depending on the current load. Distribution of the load is carried out by a special component — Load Balancer.
- 16. Cont., • The Load Balancer controls the number of servers required for the smooth operation of the app. It knows how many servers are working at the moment as well as how many are in idle mode. • When it sees that a server works at the top capacity and the number of requests is growing, it activates other servers to redistribute the load between them. And vice versa: it disables unneeded servers when the number of requests is reducing.
- 17. Building scalable web applications and websites
- 18. Develop simple application using Google App Engine (GAE)
- 23. Exploring PaaS with App Engine • App engine allows you to build highly scalable applications fully managed server less platform. App engine is ideal if time to market is highly valuable to you and you want to be able to focus on writing code without ever having to touch a server infrastructure. • It is also ideal if you do not want to worry about a pager going off for receiving 5XX errors. App engine allows you to have high availability apps without a complex architecture.
- 24. Cont., • As a fully managed environment app engine is a perfect example of a computing platform provided as a service. • App Engine can save organizations time and cost in software application development by eliminating the need to buy build and operate computer hardware and other infrastructure. • This includes no server management and no need to configure deployments. This allows engineering teams to focus on creating high value applications instead of no value operations work. • You can quickly building and deploy applications using the range of popular programming languages, like Java, PHP, node.js Python, C sharp, ., Ruby and Go or you can bring your own language runtime and frameworks.
- 25. Cont., • App Engine allows you to manager resources from the command line, debug source code in production and run API back ends easily using industry-leading tools such as cloud SDK cloud source repositories, Intellij Idea, Visual Studio and Portia. • App engine also automatically scales depending on the application traffic and consumes resources when code is running. This allows cost to be kept to a minimum.
- 26. Event Driven Programs with Cloud Functions • In Cloud Functions, you use event-driven functions when you want a function to be invoked automatically in response to an event that occurs in your cloud environment. • CloudEvent functions are based on CloudEvents , an industry-standard specification for describing event data in a common way. • CloudEvents GitHub repository. • a set of CloudEvents SDKs to help work with CloudEvents objects in your code.
- 27. Cont.,