Best Static Code Analysis Software for Kubernetes

SonarSource builds world-class products for Code Quality and Security. Our open-source and commercial code analyzer - SonarQube - supports 27 programming languages, empowering dev teams of all sizes to solve coding issues within their existing workflows. 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 proactively raises a hand when the quality or security of your codebase is at risk. SonarQube can analyze branches of your repo, and notify you directly in your Pull Requests! Our mission is to empower developers first and grow an open community around code quality and code security. Jenkins, Azure DevOps server and many others. Thousands of automated Static Code Analysis rules, protecting your app on multiple fronts, and guiding your team.

Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk’s Developer Security Platform automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams. Snyk is used by 1,200 customers worldwide today, including industry leaders such as Asurion, Google, Intuit, MongoDB, New Relic, Revolut and Salesforce. Snyk is recognized on the Forbes Cloud 100 2021, the 2021 CNBC Disruptor 50 and was named a Visionary in the 2021 Gartner Magic Quadrant for AST.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

Maximize your throughput and only release clean code SonarCloud automatically analyzes branches and decorates pull requests. 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. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects!

Address security and quality defects in code as it's being developed​. Coverity® is a fast, accurate, and highly scalable static analysis (SAST) solution that helps development and security teams address security and quality defects early in the software development life cycle (SDLC), track and manage risks across the application portfolio, and ensure compliance with security and coding standards. Coverity works with the Code Sight™ IDE plugin, enabling developers to find and fix security and quality defects as they write code. Fast and accurate incremental analysis runs in the background to minimize disruption, giving developers real-time results, including CWE information, remediation guidance, and relevant security training, directly within the IDE. Fast and accurate incremental analysis runs in the background to minimize disruption, giving developers real-time results, including CWE information, remediation guidance, and relevant security training, directly within the IDE.

We’ve spent years researching and developing an all-in-one product that is affordable for any organization, offering the best quality ever seen in the SAST industry. We’ve spent years in research to create an all-in-one product that is affordable to any organization with the best quality ever in the industry. O’360 conducts an in-depth source code examination, identifying flaws in the open-source components used in your project. In addition, it offers malware analysis, licensing analysis, and IaC, all enabled by our “brain” technology. Offensive 360 is developed by cybersecurity researchers, not by investors. It is unlimited, as we don’t charge you based on lines of code, projects, or users. Moreover, O360 identifies vulnerabilities that most SAST tools in the market would never find.

Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.

When you profile, you need the most powerful tool you can get. At the same time, you do not want to spend time learning how to use the tool. JProfiler is just that: simple and powerful at the same time. Configuring sessions is straight-forward, third party integrations make getting started a breeze and profiling data is presented in a natural way. On all levels, JProfiler has been carefully designed to help you get started with solving your problems. Database calls are the top reasons for performance problems in business applications. JProfiler's JDBC and JPA/Hibernate probes as well as the NoSQL probes for MongoDB, Cassandra and HBase show the reasons for slow database access and how slow statements are called by your code. From the JDBC timeline view that shows you all JDBC connections with their activities, through the hot spots view that shows you slow statements to various telemetry views and a list of single events.

vFunction modernizes Java applications and accelerates migration to the cloud. Automatically and quickly extract efficient microservices from complex monolithic apps. A single pane of glass that manages, tracks full cloud migration and modernization projects across an enterprise application estate. Modernization dashboard coordinates the full migration and modernization process including marking apps for refactoring, retention, retirement, replatforming, or rewriting. Your cloud transformation projects are moving ahead – but application modernization projects are not. Help application teams get unstuck and move forward faster. The pressure to modernize is growing. Lift and shift won’t cut it. These legacy apps are hard to refactor – automation and analytics can help modernize your most complex app. Take on more complex projects confidently.

Verify changes to hundreds of supported resource types in all major cloud providers. Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations. Extend Checkov to define your own custom policies, providers, and suppressions terms. Prevent misconfigurations from being deployed by embedding it into existing developer workflows. Enable automated pull/merge request annotations on your repositories without having to build a CI pipeline or run scheduled checks. The Bridge crew platform will automatically scan new pull requests and annotate them with comments for any policy violations discovered.