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Stop hand-managing Helm installs. LiteLLM Operator brings a declarative, reconciliation-based workflow for LiteLLM on Kubernetes, with bidirectional sync between CRDs and the Admin UI, support for models, teams, users, and keys, plus OperatorHub/OpenShift-friendly distribution.
LiteLLM OperatorRun LiteLLM on Kubernetes the operator way
Langfuse Operator makes self-hosting Langfuse on Kubernetes actually production-ready. Deploy the full stack from one custom resource, automate upgrades and migrations, and avoid the usual self-hosting glue. Built for platform teams that want control, repeatability, and a cleaner path to running LLM observability in production.
Langfuse OperatorSelf-host Langfuse on Kubernetes, properly
Marton Schneiderleft a comment
We built LiteLLM Operator because running LiteLLM on Kubernetes deserved more than a manual Helm workflow. LiteLLM already gives teams a unified way to route across 100+ LLMs through an OpenAI-compatible interface. Our goal was to make operating that gateway on Kubernetes feel native: declarative CRDs, reconciliation, production-ready defaults, and a cleaner path for managing models, users,...
LiteLLM OperatorRun LiteLLM on Kubernetes the operator way
Marton Schneiderleft a comment
We built Langfuse Operator because self-hosting Langfuse on Kubernetes should feel production-ready by default, not like stitching together a deployment and then spending weeks hardening it. Langfuse is already a strong open-source LLM engineering platform for traces, evals, prompt management, and metrics. We wanted to make running the full stack on Kubernetes much more operationally native:...
Langfuse OperatorSelf-host Langfuse on Kubernetes, properly
Marton Schneiderleft a comment
Hi Product Hunt — excited to launch Codesteward. Coding agents are powerful, but they still operate half-blind. They can read files, but they usually can’t understand the real structure of a codebase across services, languages, and dependencies. Codesteward fixes that by turning any codebase into a deterministic graph that agents can query through MCP. Instead of guessing, agents can inspect...
CodestewardShip AI-written code without losing control
AI agents can write code fast. Codesteward makes sure they do it safely. Audit every action, map codebase structure, detect risky data flows, summarize sessions, and improve prompts — in one self-hosted open-source platform. Built for teams that want faster AI-assisted development without giving up security, compliance, or control.
CodestewardShip AI-written code without losing control