Best Practice of DevOps for Develop Microservice - I
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Below is an architecture for setup an DevOps automation framework when we develop microservice application, this is a virtual project, only used for study k8s and develop micro-service application purpose. will keep update detailed steps for the whole project.
The project target:
Develop automation script to provision kubernetes cluster VM using oracle public restful api
Using ansible playbooks to setup k8s cluster and was able to support scale out
Develop micro-service application and deploy those application in k8s cluster
End User can access mico-service application from intranet/internet
All above appliation code will integrate and delivery using DevOps framework in side left
The document will include how to configure git client, how to setup jenkins, how to setup UCD, how to deploy micro-service to k8s
Main Concepts
DevOps (a clipped compound of "development" and "operations") is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of the DevOps movement is to strongly advocate automation and monitoring at all steps of software construction, from integration, testing, releasing to deployment and infrastructure management. DevOps aims at shorter development cycles, increased deployment frequency, and more dependable releases, in close alignment with business objectives. [From https://en.wikipedia.org/wiki/DevOps]
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
CI/CD or CICD may refer to the combined practices of continuous integration and continuous delivery.[1][2]. There are several tools which allows to implement CI/CD practices, such as GitLab.
Docker Build, Manage and Secure you apps anywere, building and deploying new applications is faster with containers. Docker containers wrap up software and its dependencies into a standardized unit for software development that includes everything it needs to run: code, runtime, system tools and libraries. This guarantees that your application will always run the same and makes collaboration as simple as sharing a container image.
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