Awesome AI Coding Tools
Section: DevOps and Infrastructure · Full stack observability platform with AI SRE Agent.
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Appears in 6 awesome lists
A Full-Stack Cloud Observability Platform designed to empower developers and organizations to monitor, optimize, and streamline their applications and infrastructure in real-time.
Section: DevOps and Infrastructure · Full stack observability platform with AI SRE Agent.
Section: Monitoring · Full-stack observability platform with APM, distributed tracing, logs and infra metrics in one place.
Section: Observability · yen: Monitor Docker hosts, containers, logs, and application performance from a unified observability platform.
Section: Vendors
Section: Continuous Monitoring · A Full-Stack Cloud Observability Platform designed to empower developers and organizations to monitor, optimize, and streamline their applications and infrastructure in real-time.
Section: Observability & Monitoring · A full-stack cloud observability platform.
Multi-cluster Kubernetes MCP server bridging Gemini CLI to kubeconfig and Kubernetes APIs. Manage clusters, policies, and 20+ CNCF project integrations across edge and cloud. Install via brew tap kubestellar/tap && brew install kc-agent.
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents. (Demo, Source Code, Clients) MIT Docker
The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
The agent simulation, evaluation, and observability platform helping product teams ship their AI applications with the quality and speed needed for real-world use.
Analyzes resource usage and performance characteristics of running containers. Apache-2.0 Go
Datadog is a monitoring service for IT, Operations and Development teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.