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DevOps on Google Cloud Platform - Complete Guide

Gursimran Singh | 18 October 2022


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What is DevOps?

Development and Operations is a methodology or an operating model that establish an Agile relationship between growth and IT operations. The primary goal of it is to automate the processes between software development and IT teams, DevOps builds, tests, and releases software faster.

Provide such a culture, which allows fast, efficient, reliable software delivery through production. Click to explore about our, System Testing Tools

What is GCP?

Google offers a vast number of services basically, it is the collection of Google's computing resources and other resources made available via mean of services. Here other resources' services may include Google's Storage and Databases, Big Data,Machine Learning, Networking and many more. Apart from Google's Computing resources, it support lots of SRE tools that make the process more speedy builds and delivers the products more reliably to the users.

How DevOps works on GCP?

Stackdriver used for Critical Monitoring. GCP support its efforts by providing services to build, store and deploy apps. It features are accessible in it.Most of the organization employ using its model and technology to demonstrate integration with the existing development, testing, deployment, and operations process. IT Team recognizes whether it is right for the organization while having apps. It used to build apps with better and long lead times and development cycles. Continuous Delivery/Continuous Deployment (CI/CD) world, new versions launching which require a Continuous Delivery/Continuous Deployment (CI/CD) framework.

It is the company’s fully-managed Continuous Integration/Continuous Delivery (CI/CD) platform comprising it, test, and deploy the software at a faster scale. It works across a variety of environments comprising VMs, serverless, Kubernetes, or Firebase. It supports Docker containers for building an image and turn it on Docker and the flexibility to build, test and deploy.

Google Platform provides unique offerings for Big Data, Artificial Intelligence and IoT services. Click to explore about our, Google Cloud Platform IoT Services

Why it matters?

  • Get Started Fast - In GCP account, there are loT Services on it ready to use, there's no need to set up or software to install.
  • Fully Managed Services - These services take advantages of its resources without worrying about settings or installing software or operating infrastructure.
  • Built for Scale - It manages a single instance, scales up to thousands using its services. These services make more flexible compute resources by directly provisioning, configure and scale.
  • Programmable - It has an option to use each service via the platform CLI or through API's.It also models and provisions GCP resources and all its infrastructure using declarative.
  • Automation - GCP uses automation to build faster and more efficiently. Using its services, also automate task or process such as deployment, development & test workflow manually and configure.
  • Secure - GCP I AM to sets user permission and policies. It's used for user access on particular services of its resources and how user access those services.

What are the benefits?

  1. Better Pricing Than Competitors.
  2. Private Global Fiber Networks.
  3. Live Migration of Virtual machines.
  4. Improved Performance.
  5. More Security.
  6. Dedicate to Continuous Expansion.
  7. Redundant Backups.

Assessment enables your organization to identify the new opportunities where you can use it and its associated technologies with the greatest business impact and ROI. Click to explore about, DevOps Assessment for AWS, Azure and GCP

How to adopt it on GCP?

Listed below are the steps to adopt.

Software Release Workflow

It is a cloud platform code pipeline. Its code pipeline is a Continuous Integration and Continuous Delivery service for fast and reliable application and infrastructure updates. Core pipeline builds, tests and deploy code every time on the system for changes and based on the release process models defined. It enables to rapidly and reliably deliver features and updates.

Build & Test Code

It is code build to make code and test code. GCP code build is fully managed build services that compile the sources codes required, and then it runs, and it's time to tests and produces software packages ready to deploy. Codebuild doesn't need to provision, manage and scale build servers. It amounts continuous and processes multiple builds concurrently, builds not left for waiting in a queue.

Deployment Automation

It is GCP code deploy to perform deployment automation. It is GCP code deploy to automate code deployments to any of the instance, including Google EC2 instances and on-premises servers. It's a deployment in GCP code deploy makes it easier to do rapidly new releases with new features, and to avoid downtime during application deployment and handles the complexity of updating the application.

Unified CI/CD Projects

It is GCP codestar used for CI/CD projects. Codestar quickly develops, builds and deploys the application on the dashboard of it. GCP codestar provides a specified user interface, to manage software development activities in one place efficiently. With its code star set up entire Continuous Delivery toolchain in minutes, to start releasing code faster.

Besides the Deployment Manager provided by GCP, you can easily leverage any third-party, open-source tool that you already use.Click to explore about our, GCP for Infrastructure As Code - Tools

Build & Deploy Microservices architecture using Containers and Serverless Computing

Elastic Container Service is a highly scalable, high-performance Container Management services that support Docker containers and allows to run application efficiently on a managed account of flexible container services instances.

Provision, Configure and Manage GCP Infrastructure

It is a Cloud formation to create and maintain a collection of the all related GCP resources, and also do provisioning, and it also updates in an orderly and predictable fashion. It creates sample templates or creates models to monitor and enforce infrastructure compliance.

  • Configuration Management.
  • Policy as Code.
  • Run and Manage Web Apps.
  • Private Git Hosting.
  • It use Services of GCP as per the requirement of Project.
  • Code Build.
  • Code Deploy.

What are the cloud-native tools?

  • Opinionated
  • Cloud Native
  • Opinionated
  • Feature Flagging Tools
  • DevOps Monitoring and Visualization Tools
  • Continuous Feedback Tools
  • License Compliance Management
Site reliability engineers collaborate with alternative engineers, product owners, and customers to return up with targets. Source- Site Reliability Engineering (SRE)

What are the best practices?

  1. No Server Management - Deploy code, Google runs and scales it. It include all the underlying infrastructure, focus on code and build applications faster than ever before.
  2. Pay only while code runs - It is used for spinning up on-demand and scale down in response to events. Pay when a function executing, metered to the nearest 100 milliseconds, and pay nothing after function finishes.
  3. Scales automatically - Cloud Functions used by it automatically manages and scales underlying infrastructure with the size of workload.
  4. Runs code in response to events - GCP function allows to trigger the code from Google Cloud Platform, Firebase, and GA, or call it directly from the web, mobile, or backend application via HTTP.
  5. Connects and extends services - GCP, Firebase, GA, and Third-party services used as building blocks, connect with it and extend them with code, and rapidly move this to production.
  6. Open and familiar - It supports the code written in JavaScript(JS) Node.js and Python. No new languages, tools, or frameworks to learn, brings code — including native libraries to the platform.

Enabling DevOps SRE Tools on Cloud Platform

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This explanation that it is just an idea and SRE is its implementation has become a tool for me to explain those words clearly. It's also good that it's Google-like to explain in programming language-like expressions.