Search Results for "make"

Kubernetes object analysis with recommendations for improved reliability and security. kube-score is a tool that does static code analysis of your Kubernetes object definitions. The output is a list of recommendations of what you can improve to make your application more secure and resilient. kube-score is open-source and available under the MIT-license. Container limits (should be set) Pod is targeted by a NetworkPolicy, both egress and ingress rules are recommended. Deployments and StatefulSets should have a PodDisruptionPolicy. Deployments and StatefulSets should have host PodAntiAffinity configured. ...

...The latest version supports Python 3.7.2 and above. Pylint analyses your code without actually running it. It checks for errors, enforces a coding standard, looks for code smells, and can make suggestions about how the code could be refactored. Projects that you might want to use alongside pylint include flake8 (faster and simpler checks with very few false positives), mypy, pyright or pyre (typing checks), bandit (security-oriented checks), black and isort (auto-formatting), autoflake (automated removal of unused import or variable), pyupgrade (automated upgrade to newer python syntax) and pydocstringformatter (automated pep257). ...

...Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. Make sure your codebase is clean and maintainable, to increase developer velocity! We embrace progress - whether it's multi-language applications, teams composed of different backgrounds or a workflow that's a mix of modern and legacy, SonarQube has you covered. SonarQube fits with your existing tools and pro-actively raises a hand when the quality or security of your codebase is at risk. ...

Error Prone is a static analysis tool for Java that catches common programming mistakes at compile-time. It’s common for even the best programmers to make simple mistakes. And sometimes a refactoring that seems safe can leave behind code that will never do what’s intended. We’re used to getting help from the compiler, but it doesn’t do much beyond static type checking. Using Error Prone to augment the compiler’s type analysis, you can catch more mistakes before they cost you time, or end up as bugs in production. ...

...However, here is the problem. Static analysis tools may report false-positive results. Reporting false-positive results itself is ok, but due to the false-positive results we cannot make build fail and it becomes difficult for us to find true positive results from messed up analysis results.