Building, testing, and monitoring applications in the cloud is a unique challenge. While many organizations have embraced a DevOps methodology, their DevOps machine is still not at the level of maturity they might like it to be. According to a recent survey, 53% work on a team with a ‘low level’ of DevOps based on maturity factors. By Dave Armlin.
A big part of achieving cloud DevOps maturity is selecting the right tools for the job. The following tools help automate various parts of the CI/CD pipeline, and make it much easier for DevOps teams to consistently monitor their AWS cloud infrastructure and applications. As with a lot of AWS services, there are several native DevOps tools for AWS users. These services make it easier to provision and manage AWS infrastructure, deploy application code, automate software releases, and monitor the performance of applications and infrastructure.
The article then pays attention to these tools:
- Native AWS cloud DevOps tools
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy
- AWS CodeStar
- DevOps tools for AWS and multi-cloud environments
- CircleCI
- Snyk
- HashiCorp Terraform
- Jira Software
- Gradle
- ChaosSearch
To sum up, while AWS offers many native DevOps tools to accelerate the application development and delivery lifecycle, these essential tools may increase your team’s capacity to leverage automation. Ideally, you’ll be able to automate and orchestrate your CI/CD pipeline and cut down on day-to-day DevOps management challenges. Links to further reading also in the article. Nice one!
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