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Google cloud platform
Google provides Infrastructure as a Service (IaaS) through Compute Engine, which allows users to create and run virtual machines on Google's infrastructure. It also provides Platform as a Service (PaaS) through services like App Engine, a fully managed platform for developing and hosting web applications at scale using popular programming languages. Google's cloud services run on the same infrastructure used for its consumer products and offer reliability, security, scalability and pay-as-you-go pricing.
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Google cloud platform
- 1. Google Infrastructure as aService & Platform as a Service
- 2. Google Cloud • Suiteof public cloud computing services by Google. • Runs on the same infrastructure that Google uses internally for its end-user products. • Includes a range of hosted services to compute, storage and application development that run on Google hardware • Extreme reliability and security are established norms at Google. https://www.packtpub.com/product/google-cloud-platform-for-developers/9781788837675
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- 4. 4 IaaS • On-demand accessto virtualized IT infrastructure via the internet. • Build on same infrastructure as Google
- 5. Mix and matchthe services into combinations Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. Compute Engine Globally unified, scalable, and highly durable object storage for developers and enterprises. Cloud storage Managed networking functionality for your Google Cloud resources. Virtual Private Cloud Reliable, high- performance block storage for virtual machine instances. Persistent disk
- 6. Compute Engine Secure andcustomizable compute service that lets you create and run virtual machines on Google’s infrastructure.
- 7. Features •Predefined machine types •Custommachine types •Pre-emptible machines •Confidential computing •Rightsizing recommendations
- 8. Machine Type Families Tocreate the instance just need to select machine type and where you want it Machine Family Series General purpose E2, N2,N2D, N1,C2 Compute Optimized C2 Memory Optimized M1, M2 Accelerator Optimized A2
- 9. Benefits • Live Migration •Container support • Pay for what you use Discount for: Sustained Use Savings Committed Use Savings • Migrate existing Systems
- 10. 10 PaaS • A completedevelopment and deployment environment in the cloud • Google handles most of the management of the resources for you
- 11. App Engine App Engineis a fully managed, serverless platform for developing and hosting web applications at scale. Can choose from several popular languages, libraries, and frameworks to develop apps. Go PHP Java Python Node.js .NET Ruby *Custo m
- 12. Features • App Enginesupports the development and deployment of applications written in a variety of languages and frameworks. • Fully managed A fully managed environment lets you focus on code while App Engine manages infrastructure concerns. • Powerful application diagnostics • Easy application versioning • Caters more toward Linux-based development
- 13. GAE Environments Standard (predefinedRuntime) • For sandbox deployments, certain specific source codes, low-cost apps and rapid, spikey scaling demands. • Containers are preconfigured with one of several available runtimes. Legacy runtimes support language versions that are no longer maintained by open source communities. Flexible (Configurable Runtime) • For containerized apps run on Compute Engine or apps that rely on the Compute Engine network • For apps with steady traffic, custom runtimes and apps that rely on frameworks with native code.
- 14. Benefits • Open andfamiliar languages and tools • Just add code App engine manages the underlying infrastructure • Pay only for what you use • Monthly Uptime Percentage to Customer of at least 99.95% (SLA) • Increased Scalability
- 15. In future, • Scale-outworkloads (T2D) as a Virtual Machine Type Tau VM, optimized for cost-effective performance of scale-out workloads. • Expansion of Cloud locations for fast, reliable connections • Continued commitment on Multi cloud https://www.fiercetelecom.com/telecom/google-cloud-s- revenue-continues-to-grow-but-losses-mount
- 16. 16 Google Cloud Documentation https://cloud.google.com/learn https://cloud.google.com/docs GoogleCloud Icons and template: https://cloud.google.com/icons Referenced resources
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Editor's Notes
- #8 Predefined machine types: Start running quickly with pre-built and ready-to-go configurations Custom machine types: Create VMs with optimal amounts of vCPU and memory, while balancing cost Pre-emptible machines: Reduce computing costs by up to 80% with affordable short-term instances Confidential computing: Encrypt your most sensitive data while it’s being processed Rightsizing recommendations: Optimize resource utilization with automatic recommendations.
- #10 Live Migration allows an instance to be up and running, even in the maintenance state, or during a HW or SW update, failed HW, network and power grid maintenance etc. The instance is moved to another host in the same zone
- #13 Powerful application diagnostics: Use Cloud Monitoring and Cloud Logging to monitor the health and performance of your app and Cloud Debugger and Error Reporting to diagnose and fix bugs quickly. Application versioning :Easily host different versions of your app, and easily create development, test, staging, and production environments.
- #15 GAE will handle the scaling up and down of the underlying infrastructure to meet demand and ensure your website doesn’t crash because of the increased demand.
- #16 T2D is ideal for scale-out workloads like web servers, containerized microservices, media transcoding, and large scale java applications Google Cloud will continue expanding into the following regions: Doha (Qatar), Toronto (Canada), Melbourne (Australia), Delhi (India), Paris (France), Milan (Italy), Santiago (Chile), Madrid (Spain) and Turin (Italy).