DevOps as a Service is a new trend in application development that is gaining momentum. With DevOps as a Service, conventional development and operations teams can collaborate in the cloud using stackable virtual development tools that can automate many of the manual steps now required.
With so many organizations embracing DevOps and moving their integrations to public clouds, the tools they use to build, test, and deploy software will soon be managed cloud services as well. We will examine the implications of such a change for today’s DevOps as an advanced IT service.
Managed cloud service for DevOps
What is DevOps in the cloud? Essentially, you are moving your continuous delivery tools and processes to a hosted virtual platform. Developers, testers, and operations specialists work together in a single unit, while most of the deployment process is automated. Here are some of the most popular business cloud DevOps solutions.
AWS DevOps Tools and Services
AWS is a quick and painless option for moving your DevOps to the cloud, thanks to its global network of fiber-connected data centers and a billing model that tracks your usage down to the millisecond.
When it comes to continuous delivery in the cloud, Amazon Web Services (AWS) relies on three key services:
- Amazon Web Services (AWS) CodeBuild. Automated QA testing and AWS code build are part of CodeBuild, which is a fully managed service. Because each customer receives a unique encryption key for each artifact they create, CodeBuild is extremely safe and secure.
- Amazon Web Services CodePipeline. CodePipeline lets you create your ideal deployment scenario, and then automates the rest of the process for you, all through an intuitive GUI. Continuous delivery in the purest sense can be achieved by performing automated activities to achieve the full delivery cycle each time a code change is made.
- AWS CodeDeploy. When the new version passes CodePipeline, CodeDeploy distributes the feature package to all instances specified in the parameters. It’s easy to sync builds and patch or upgrade all at once.
DevOps Managed Services
Of course, AWS is not the only managed service provider in the DevOps arena. Let’s take a look at the other main players and their tools.
Google Cloud Platform development and operations tools
The Google Cloud Platform (GCP) DevOps alternative is worth a close look due to its unmatched global network, easy-to-use interface, and ever-expanding range of features. GCP cloud development suites include Visual Studio, Android Studio, Eclipse, Powershell, and more. Use familiar cloud development tools.
GCP implementation
Select the resources and policies you want to deploy using simple YAML, python, or jinja2 templates.
Instead of detailing each step required for deployment, DevOps teams can tell the deployment manager what the final deployment should look like, and GCP will use the relevant tools and procedures for them. The ideal deployment method is retained for repeatability and scalability.
GCP Console
Cloud Console gives you a bird’s-eye view of your DevOps in the cloud. Track and manage virtual machines, releases, and rollbacks on native Google Android and iOS. GCP Cloud Console enables your DevOps teams to easily manage a cloud-based continuous delivery cycle.
Azure DevOps tools and services
Microsoft, the £800 giant of modern computing, is taking its big swing at DevOps as a managed services marketplace with Azure, its cloud management platform. Azure, like AWS and Google, has an exceptional set of innovative and compatible DevOps tools.
With so many companies already using Microsoft products and services, Azure may be the fastest way to move to full or hybrid cloud environments. Microsoft has built a secure global infrastructure that is currently home to two-thirds of the Fortune 500 companies. Microsoft DevOps tools include:
- Azure Application Service
- Azure Dev Test Labs
- aws stack
Cloud computing as code
They developed and protected the infrastructure on which programmers wrote code. Cloud infrastructure is now code. Cloud DevOps goes beyond virtual servers and load balancers. A piece of code can also automatically provision and replace virtual hardware.
It’s like hardware automation, but it combines the expertise of development and operations teams so everyone on the production team can quickly launch and tune entire environments.
The infrastructure uses the same processes as the software, from development to live deployment to automated testing. This fosters an intelligent and interactive relationship between the software and its environment.
Telemetry for feedback
The DevOps Handbook Feedback Principles emphasize the need for developers to receive regular and accurate feedback on the acceptance of their products. Telemetry is the automatic collection, storage, and usage of data (from logs, events, and other metrics). In a DevOps context, accurate telemetry is essential for real-time feedback.
DevOps teams use feedback at all levels of the build, test, and deployment cycle to speed releases and improve quality. All major cloud providers have telemetry tools, but you can enhance and display your data to provide relevant insights to your team.
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Categories: How to
Source: HIS Education