Aligning DevOps with AWS: Development Stage [Part 4 of 9]
In this article, the 4th in the series, we will discuss the Development stage, and the second stage of DevOps, and introduce some of the essential AWS services that can be leveraged as part of DevOps. In this stage, developers are laser-focused on developing the code.
The development stage of DevOps is the time when you develop your application and get it for testing. In this stage, you must utilize apt AWS services to optimize development, check-in, and automate as many processes involved in developing and unit testing your codebase before integrating and deploying it.
Aligning Services with Development Stage
Amazon Honeycode is a cloud-based, no-code application development platform. Although it can be used to create business applications that need not be a part of the DevOps process, its purpose is also in developing business apps.
AWS Cloud9 is a cloud-based integrated development environment (IDE) provided by AWS that allows you to write, run, and debug code in the cloud. The IDE is accessible through a web browser, eliminating the need to install and configure software on local machines.
AWS X-Ray is a service provided by AWS that helps developers analyze and debug distributed applications, such as those built using microservices architectures. AWS X-Ray provides a visual representation of the components of an application, including the individual microservices, and helps you understand how these components interact and perform.
With AWS X-Ray, you can:
- Trace Requests End-to-End: AWS X-Ray traces requests as they travel through your application across all microservices and components, so you can see how long each request takes and identify any bottlenecks or issues.
- Analyze Performance: AWS X-Ray provides insights into the performance of your application and its components, including details on latency, errors, and fault rates.
- Debug Issues: AWS X-Ray makes it easy to identify and diagnose issues in your application by visually representing the components involved in a particular request, along with detailed logs and error messages.
- Visualize the Architecture: AWS X-Ray visually represents your application’s architecture, including a service map showing how different components are connected and interact.
AWS X-Ray integrates with various AWS services, including Amazon EC2, Amazon ECS, AWS Lambda, and Amazon API Gateway. It also supports multiple programming languages, including Java, .NET, Node.js, and Python.
AWS CodeGuru is a set of machine learning-based developer tools provided by AWS that help you improve code quality and optimize application performance. CodeGuru consists of two main components: CodeGuru Reviewer and CodeGuru Profiler.
- CodeGuru Reviewer: CodeGuru Reviewer is an automated code review tool that uses machine learning algorithms to identify code quality issues, security vulnerabilities, and performance bottlenecks in your code. It analyzes your code continuously and provides actionable recommendations on how to fix issues and improve code quality.
- CodeGuru Profiler: CodeGuru Profiler is a profiling tool that helps you identify performance issues in your application code. It provides recommendations on optimizing your code and reducing CPU, memory, and other resource utilization.
With AWS CodeGuru, you can:
- Improve code quality: CodeGuru Reviewer helps you identify code quality issues and security vulnerabilities and provides actionable recommendations to improve code quality.
- Optimize application performance: CodeGuru Profiler helps you identify performance bottlenecks in your application code and provides recommendations on optimizing your code to reduce resource utilization.
- Reduce development costs: By automating code reviews and performance profiling, CodeGuru can help reduce the time and effort required for manual code reviews and performance tuning.
- Increase developer productivity: By providing actionable code quality and performance recommendations, CodeGuru can help developers improve their code faster and more efficiently.
AWS CodeGuru is a powerful toolset that helps developers improve the quality and performance of their code, leading to faster and more efficient application development.
AWS CodeCommit is a fully managed source control service that makes it easy for teams to collaborate on code in a secure and scalable way. It allows you to store code, binaries, and other file types in a Git repository that is hosted in the cloud, eliminating the need to manage your version control system.
AWS CodeCommit provides features like code reviews, access control, and continuous integration/ continuous deployment (CI/CD) pipelines, making it an integral part of DevOps. With AWS CodeCommit, you can commit & version control your code and easily collaborate with your team members or external contributors.
AWS CodeArtifact is a fully managed artifact repository service provided by AWS. It is a central hub for storing, managing, and sharing software packages, dependencies, and artifacts. CodeArtifact allows you to easily configure and scale a secure, highly available, resilient artifact management system fully integrated with your DevOps workflows.
With AWS CodeArtifact, you can:
- Store and manage artifacts: AWS CodeArtifact supports multiple package formats such as Maven, npm, PyPI, and Docker and allows you to store and manage artifacts securely.
- Share artifacts across teams: CodeArtifact allows you to share artifacts across teams and organizations within or outside of AWS while providing fine-grained access control to ensure only authorized users can access your artifacts.
- Replicate artifacts across regions: CodeArtifact supports cross-region replication, which helps to ensure high availability and low latency when fetching artifacts.
- Automate your pipelines: CodeArtifact integrates seamlessly with popular DevOps tools such as AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to enable you to automate your software delivery pipelines.
- Ensure artifact integrity: CodeArtifact includes features such as binary scanning and vulnerability scanning that help you ensure the integrity of your artifacts and protect against security vulnerabilities.
AWS CodeArtifact can help manage and distribute software artifacts easily and securely, enabling faster and more reliable software development and delivery.
Let’s review a use case where a development team uses these services. We will go over a hypothetical workflow where they’ll use these services.
The team uses AWS Cloud9 to write, test, and debug their serverless application code. They collaborate in real-time, share code snippets, and use built-in development tools, such as code completion and debugging, to streamline their development workflow. In addition, they use AWS CodeGuru Reviewer to review the code for quality issues and CodeGuru Profiler to assess the code for performance issues.
They then commit their code changes to AWS CodeCommit, automatically managing their codebase’s versioning, branching, and merging. In addition, they use Code Commit’s built-in code review features to perform code reviews, ensure code quality, and collaborate on code changes before merging them into the main branch.
In the case of distributed applications, the team uses AWS X-Ray to trace and monitor the performance of their serverless application. They instrument their code with X-Ray SDKs to capture distributed traces and performance metrics. They use AWS X-Ray visualizations and analytics to identify and diagnose performance issues, such as high latency, errors, or exceptions.
AWS CodeArtifact is used as a package repository to securely store and manage software artifacts, such as libraries, dependencies, and Docker containers. In addition, they utilize CodeArtifact’s built-in integration with popular build tools and package managers, such as Maven, npm, or pip, to manage their software dependencies and ensure consistency and reproducibility in their software builds.