Migrating Confluent Cloud’s Most Critical Services into a New Deployment Management Platform

Confluent migrated critical Helm-based control-plane and monitoring services for its multi-cloud Kafka platform from monthly, manually coordinated “Big Bang Releases” to an in-house Kubernetes deployment management platform designed to make deployments declarative, auditable, secure, and less error-prone. The platform uses a controller pattern to select target clusters through metadata rules, render Helm charts with Kubernetes and Vault-provided values, stage manifests, and have cluster agents apply them, while providing health-based deployment feedback, Slack notifications, immutable Git-managed service versions, CI integration, and automatic bootstrapping of new clusters. To simplify migration, the team preserved immutable Kubernetes attributes for in-place and potentially zero-downtime transitions, automated YAML generation, reused existing secret formats, and added dry-run comparison tools. Performance work reduced memory consumption from more than 3 GB to about 256 MB, and load testing indicated capacity for ten times the expected new workload. Security improvements replaced a shared Vault authentication role with cluster-specific roles and added RBAC, ultimately enabling migration of all targeted services, reducing memory-related costs by 90%, and improving deployment visibility, while future work focuses on horizontal scalability, authentication challenges, and more complex service targeting needs.

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