Analysing AWS DevOps CI/CD Serverless Pipeline Lambda Function's Throughput in Relation to Other Solution
Keywords:
Cloud Computing, DevOps, AwsAbstract
DevOps is basically a Software engineering practice, which helps developers collaborate with various teams such as QA, Build & Release Engineering, and IT Teams (Security, Infra, and Operations) to help deliver a quality product continuously. Generally, in any DevOps framework, developers and IT teams collaborate with various teams such as quality control, security, and support as stated above, whose goal is to have a collaborative and cooperative effort to deliver code rapidly, in a seamless loop of continuous integration and continuous delivery (CI/CD) enabled by Continuous testing and Continuous Monitoring (CT/CM).We have seen tremendous growth in DevOps toolchains and Cloud providers in recent times and one such toolchain is AWS DevOps offered by AWS cloud service provider which is one of the most popular services in the market today. However, the transformation of traditional processes and infrastructure from typical On-Premises to the Cloud is not easy, but AWS DevOps offers Speed, Stability, Quality, and Security which also makes the transition for an organization easy to Adapt , Execution of commands in a CI/CD pipeline is handled by a runner, application, which can be configured in different ways allowing for different levels of the quality attributes performance like throughput. In this paper we are going to is about creating a seamless pipeline of e2e CI/CD pipeline using AWS DevOps services such as CodeCommit, CodeBuild, CodePipeline, CodeDeploy, and other services as needed, check its throughput against that of other machines.
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