Of course, in a real-world deployment, you will want to restrict the permission of the bouncer to the ACLs and rule groups it will manage. We just need to create a new rule using the AWS console, and associate it with our ALB: In this article, we will associate our ACL with an application load balancer (ALB) proxying traffic to an EC2 instance running a simple Nginx server. In order to be able to use the bouncer, you will need to have created a web ACL (web access control list) in AWS WAF and associate it with a (or multiple) AWS resources. NAME IP ADDRESS VALID LAST API PULL TYPE VERSIONĪWS-WAF-1647938971 127.0.0.1 ✔ crowdsec-aws-waf-bouncer AWS WAF configuration
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A good time to discuss this is the code review process. Sometimes SonarQube and SonarLint will show errors or issues that are not really a problem. We can use this to guide our discussions about what to prioritize as we work towards improved test coverage and quality. Bring up issues in the Fisheye review process.ģ) Periodically Triage: The teams map pull up Sonar periodically to look at our most common issues and to look at broader trends in test coverage. Also look at test coverage to consider whether the new code has enough tests. We want to clean up code as we touch it (fix as we go).Ģ) During Reviews: Open Sonar to look at errors and issues in the code during a review. There are three main use cases for Sonar that we are encouraging during the OpenLMIS v3 development:ġ) SonarLint plug-in in IntelliJ. It runs an immediate analysis as you change code, and by ‘binding’ your plug-in with the OpenLMIS SonarQube server, it uses the same set of rules and checks. 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