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Description

Existing methods for software testing are often antiquated, inefficient, and expensive, resulting in issues with reliability and a squandering of engineering resources. Antithesis revolutionizes the landscape of testing and debugging by allowing your team to focus on software development rather than on extensive testing. Our innovative platform continuously monitors your software for potential issues within a simulated environment, ensuring that each problem can be effortlessly recreated, thereby facilitating the debugging process for even the most intricate challenges. As a cloud-based solution, Antithesis consistently evaluates the dependability of software systems. When developers create code, they seamlessly upload their software as container images to Antithesis. We subject your software to a range of conditions, promptly notifying you of any unexpected behaviors. Additionally, we assess your system against a wide array of pre-established properties, while also providing an SDK that enables the creation of custom test properties tailored to your specific requirements. This ensures that your software not only functions correctly but also meets the highest standards of reliability.

Description

Enhance both your production and staging environments by integrating logs, metrics, and traces in real-time and on-demand directly from your IDE or command line interface. With Lightrun, you can significantly improve productivity and achieve complete code-level visibility. You can add logs and metrics instantly while services are operational, making it easier to debug complex architectures like monoliths, microservices, Kubernetes, Docker Swarm, ECS, and serverless applications. Quickly insert any missing log lines, instrument necessary metrics, or establish snapshots as needed without the hassle of recreating the production setup or redeploying. When you invoke instrumentation, the resulting data gets sent to your log analysis platform, IDE, or preferred APM tool. This allows for thorough analysis of code behavior to identify bottlenecks and errors without interrupting the running application. You can seamlessly incorporate extensive logs, snapshots, counters, timers, function durations, and much more without risking system stability. This streamlined approach lets you focus on coding rather than getting bogged down in debugging, eliminating the need for constant restarts or redeployments when troubleshooting. Ultimately, this results in a more efficient development workflow, allowing you to maintain momentum on your projects.