36 AI tools for Prometheus
This bundle builds a full CI/CD delivery pipeline - GitLab pipelines, Dockerized deploys, Sentry, Grafana, and Cloudflare - in one workflow.
An autonomous agent that designs a complete deployment package: CI/CD pipeline, containers, Kubernetes resources, and infrastructure code.
Complete Prometheus guide - scrape configuration, service discovery, recording rules, and alert rules.
Designs production observability systems: monitoring, distributed tracing, log management, SLIs/SLOs, and alerting.
Expert guidance for configuring Kubernetes HPA, VPA, and Cluster Autoscaler with production-ready YAML examples, scaling policies, and multi-tier optimization
Expert data pipeline architecture skill for ETL/ELT, Lambda/Kappa/Lakehouse patterns, dbt/Spark transformation, and Delta Lake/Iceberg storage.
Production-ready incident runbook templates for service outages and database incidents, with kubectl/psql commands and comms scripts.
A Kubernetes architect skill for platform design, GitOps, service mesh, multi-tenancy, and cost-optimized cluster operations.
Expert Go 1.21+ development: concurrency patterns, performance profiling, microservices architecture, and production deployment.
Data Engineer skill provides expertise in building scalable data pipelines, modern data platforms, and cloud-native data services for batch and streaming
Diagnoses and optimizes application performance: observability, profiling, load testing, and multi-tier caching.
Open source platform to run any MCP server securely in isolated containers, with policy, auth, and observability.
Official Grafana MCP server - query dashboards, datasources, alerts, incidents, and OnCall across the Grafana ecosystem.
A Golang MCP server exposing Prometheus's HTTP API - PromQL queries, targets, rules, TSDB stats, and docs - to LLMs with a token-aware output mode.
MCP server letting AI assistants run PromQL queries and explore metrics, targets, and metadata against Prometheus.
Query Prometheus metrics via natural language - instant/range queries, discovery, metadata, and target health, TypeScript-based.
An MCP server exposing Great Expectations data-quality validation for CSV, Snowflake, and BigQuery datasets.
