tldr - powered by Generative AI

• Debugging Kubernetes applications is challenging due to the lack of a debugger in the pod and the separation of the target executable and process from the debugger client
• Ephemeral containers can be used to run the debugger in the same process namespace as the target and to avoid including unnecessary utilities in the container image
• The presenter demonstrates how to use an IDE to simultaneously debug multiple controllers in Cluster API using breakpoints
• The use of widely-available, open-source tools such as the Delve debugger and Alpine Linux image makes interactive debugging of Kubernetes applications more accessible

tldr - powered by Generative AI

• Ephemeral containers allow for dynamic deployment of a container that shares pod resources
• They use Linux namespaces to share network and process resources for debugging
• Ephemeral containers provide privileged access to pods for complete debugging capabilities
• They also allow for running commands like ls and ps in containers for easier debugging
• Ephemeral containers can remain listed in the pod after exiting with an exit status
• Restarting the pod will remove any ephemeral containers