The basics are going to start with using a CI tool like Jenkins or Travis CI in your pipeline to help automate the build and testing process. These tools can provide alerts when issues are detected during the build phase.
Next up is automated testing, including unit testing, integration testing, and end-to-end testing. It's among the most crucial steps in maintaining software quality in CI/CD if you want to develop at scale. Automated testing helps to identify issues quickly and can speed up the feedback loop between devs and test results, allowing developers to fix issues before code is deployed. There are automated testing tools, like Tricentis and Datadog, that can help manage the process. And static code analysis tools, such as Veracode and SonarQube, can play a part in detecting security vulnerabilities, code smells, and performance problems.
For cloud environments, CSPMs help provide risk clarity across the pipeline and expedite the dev process by detecting and remedying issues more quickly. They can help assess risk at runtime and beyond, with actionable insights and suggestions about the next steps to follow.
Another strategy to consider, depending on your environment and budget, is implementing infrastructure as code using a tool like Terraform, CloudFormation (for AWS), or Ansible to manage infrastructure configuration and deployment. IaC will help detect issues with infrastructure configuration.
For smaller shops that aren't looking to scale yet, code reviews by fellow devs can be helpful, especially when there are more experienced members of the team. This procedure can help ensure that code is following best practices.
Find out what your peers are saying about Palo Alto Networks, Wiz, Microsoft and others in Cloud Security Posture Management (CSPM). Updated: April 2024.
CSPM solutions help organizations identify and remediate security risks and compliance challenges within cloud environments. CSPM tools use automated scans to identify potential security issues, and then provide recommendations for remediation.
The basics are going to start with using a CI tool like Jenkins or Travis CI in your pipeline to help automate the build and testing process. These tools can provide alerts when issues are detected during the build phase.
Next up is automated testing, including unit testing, integration testing, and end-to-end testing. It's among the most crucial steps in maintaining software quality in CI/CD if you want to develop at scale. Automated testing helps to identify issues quickly and can speed up the feedback loop between devs and test results, allowing developers to fix issues before code is deployed. There are automated testing tools, like Tricentis and Datadog, that can help manage the process. And static code analysis tools, such as Veracode and SonarQube, can play a part in detecting security vulnerabilities, code smells, and performance problems.
For cloud environments, CSPMs help provide risk clarity across the pipeline and expedite the dev process by detecting and remedying issues more quickly. They can help assess risk at runtime and beyond, with actionable insights and suggestions about the next steps to follow.
Another strategy to consider, depending on your environment and budget, is implementing infrastructure as code using a tool like Terraform, CloudFormation (for AWS), or Ansible to manage infrastructure configuration and deployment. IaC will help detect issues with infrastructure configuration.
For smaller shops that aren't looking to scale yet, code reviews by fellow devs can be helpful, especially when there are more experienced members of the team. This procedure can help ensure that code is following best practices.