While most organizations try to follow a one-container-per-pod deployment model, there are cases where multiple containers need to be in the same pod because of dependencies or the need to share resources. In a Kubernetes platform, one of the simplest experiments is assessing the impact of one container on another within a single pod. Next, select the experiment that you want to run. Select an experiment, execute, and observe It is important to understand the behavior of the application during normal conditions to compare it to the behavior during experiments. Use a logging service such as IBM Log Analysis with LogDNA, a monitoring service such as IBM Cloud Monitoring with Sysdig, and a traceability tool such as ZipKin.īefore selecting and launching a chaos experiment from Gremlin’s library, capture the metrics for a baseline user load for the scope of your experiment. These will let you assess the health and performance of your clusters and applications. Make sure you have proper observability and traceability measures in place. This will make it easier to assess the impact of attacks injected via Gremlin. Use a load testing tool like Locust or Apache JMeter to simulate a baseline user load.
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