Run arbitrary code in a remote Kubernetes cluster, stream logs and download artefacts. It works, but its usefulness is questionable. This project is mostly a playground for new infrastructure, system design and data processing ideas.

Some feature ideas to implement in the future.

• Push logs and status changes to Kafka
• New web socket service to notify clients of new logs and status changes
• Separate service to save log data to Cassandra (Go) via the API
• Separate service to check how much time each job is executing (status)
• Authentication with Algorand (send token to auth, get a session)

• Users
• Projects page
• Subscribe to projects and list projects the user subscribed to
• Last builds (all, subscribed) like Twitter

• Runs, log lines/bytes, run duration, run status (funnel)
• Kafka Streams/Flink for analytics
• Dashboard

• Integration tests with third party services in Kubernetes
• Docker build and push in Github Actions
• Deploy to Kubernetes from Github Actions/flux/argo