Conduktor Outlines CI/CD Best Practices for Streaming Applications with GitOps

Conduktor's latest blog post delves into the critical area of CI/CD best practices for streaming applications, acknowledging that traditional CI/CD models often fall short when dealing with the complexities of real-time data processing. The article, authored by Stéphane Derosiaux, highlights that streaming applications, unlike stateless services, continuously process data, manage state, and require careful handling of schema evolution to prevent disruptions to downstream consumers. The guide outlines several key best practices, starting with the implementation of multi-layered testing, including unit, integration, contract, and end-to-end tests specifically designed for streaming patterns. It also stresses the importance of meticulous state management, recommending the use of savepoints in Flink or state stores in Kafka Streams to preserve processing state across deployments. A significant portion of the article is dedicated to Infrastructure as Code (IaC) and GitOps. Conduktor strongly advises maintaining environment parity and versioning infrastructure alongside application code. For declarative deployments, the article explicitly endorses GitOps workflows, citing Argo CD and FluxCD as effective tools for achieving this. These tools enable teams to define Kafka topics, partitions, replication factors, and configurations in code, allowing CI/CD pipelines to automate the creation or updating of topics. Furthermore, the article touches upon choosing appropriate deployment patterns like blue-green, canary, or rolling updates, often coupled with savepoints, depending on the application's specific requirements. It also underscores the necessity of active monitoring, tracking streaming-specific metrics such as consumer lag, and validating deployments in production to ensure operational excellence.