from data-engineering-skills12
Expert guidance for deploying, configuring, and developing with Apache Iggy — a Rust-native high-performance message streaming platform, including Docker, Pytho
This skill encapsulates operational and developer knowledge for Apache Iggy: how to deploy it in Docker, tune performance, use the python apache-iggy SDK, and integrate Iggy via MCP for LLM workflows. It includes practical gotchas and recommended configuration for reliable production usage.
Use when designing low-latency/high-throughput event pipelines, evaluating Kafka alternatives, deploying Iggy in containers, or integrating streaming data with LLMs via MCP. Useful for SREs, platform engineers, and AI engineers building real-time data tools.
Best consumed by agents that assist with infra setup and code generation (e.g., Copilot/Claude Code style agents) or platform-focused assistants that can produce Docker/compose files and SDK snippets.
This skill has not been reviewed by our automated audit pipeline yet.
