The software development lifecycle (SDLC) has long been a point of contention for development teams. As developers write and merge code, they need a way to both test and deploy these updates. In the past, this was no easy task as developers were required to spool up new throwaway server instances for each software test they performed. This added to the administrative burden associated with software testing, slowing down the SDLC.
With the introduction of DevOps, the SDLC has been shortened thanks to the continuous integration and deployment (CI/CD) pipeline, which allows developers to automate the majority of the SDLC. In short, developers can write, test, deploy and remediate software development problems in real-time with continuous production feedback throughout the entire process.
Pipelines on AWS
A consensus is that the cloud is the ideal platform for software development and rightly so. Developers need instant access to elastically scalable server resources besides enough data storage for their work and the cloud meets these demands. Amazon Web Services (AWS) goes a step further with dedicated DevOps pipeline automation services on its platform.
AWS CodeCommit - is a fully-managed source control service that hosts secure Git-based repositories. It makes it easy for teams to collaborate on code in a secure and highly scalable ecosystem. CodeCommit eliminates the need to operate your own source control system or worry about scaling the infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it also works seamlessly with your existing Git tools.
AWS CodePipeline - AWS CodePipeline is an AWS-native continuous delivery pipeline, built to automate and simplify the software update process for developers. Specifically, CodePipeline is built to assist developers by performing the build, test and deploy phases of the update release cycle automatically. This automated process is triggered every time there is a code change, helping development teams to adhere to the agile software development methodology.
AWS Data Pipeline – Where CodePipeline assists with software updates, the AWS Data Pipeline automates extract, transform, load (ETL) processes for cloud datasets. You can use AWS Data Pipeline to process and shift data between server deployments in the cloud, including compute instances and other AWS data storage services. These ETL processes can be scheduled according to your specific business requirements through a graphical user interface (GUI) in the unified AWS management dashboard.
AWS CodeBuild – AWS CodeBuild is a fully managed software development and software testing pipeline on the AWS cloud. This service will compile source code, perform software debugging and generate deployable software packages automatically for development teams. As CodeBuild tests your software, it also handles the operations side of DevOps by provisioning, managing and scaling server instances.
AWS CodeDeploy – Where CodePipeline is designed to deliver software updates, AWS CodeDeploy is designed to handle software deployment to a range of AWS compute services. This includes the Amazon Elastic Compute Cloud (EC2), AWS Fargate for serverless containers and AWS Lambda for serverless compute workloads. CodeDeploy can minimize service downtime by monitoring software deployments and proactively assessing service health. These deployments can be rolled back in the event of performance issues, reducing risk during the SDLC.
AWS CodeStar – AWS CodeStar is built to simplify developing, building and deploying software on the AWS cloud. The service allows you to quickly set up your entire CD toolchain, reducing the time needed to start developing in the cloud. Each project will come with its own dashboard, offering a unified project management window for software developers. Through this dashboard, you can manage access to projects and track bug reports, improving visibility into the health of your software.
Built for Scale - You can manage a single instance or scale to thousands using AWS services. These services help you make the most of flexible compute resources by simplifying provisioning, configuration and scaling.
Fully Managed Services - These services can help you take advantage of AWS resources quicker. You can worry less about setting up, installing and operating infrastructure on your own. This lets you focus on your core product.
Leverage our expertise
Trianz is a leading DevOps consulting firm, which has helped hundreds of our Fortune 500 clients to streamline their software development lifecycle. One of the greatest obstacles organizations face when implementing a DevOps approach is adapting principles to address unique challenges.
Our experts believe that automation is the future of enterprise IT, which is why we work with you to implement CI/CD pipelines on the AWS platform. These pipelines will allow you to start automating both the development and IT operations management (ITOM) sides of DevOps, improving the agility and responsiveness of your development and operations teams.
Get in touch with our experts to start taking advantage of DevOps today.