Datadog plugins

Diagnose performance bottlenecks, implement distributed tracing, and manage incident response with Prometheus, Grafana, OpenTelemetry, and Datadog. Define SLIs/SLOs, run blameless postmortems, and build production-ready observability pipelines for microservices and infrastructure.

Automate and manage end-to-end engineering workflows including standups, code reviews, architecture decisions, incident response, and documentation with integrations for Slack, GitHub, Jira, and more.

Manage and monitor Datadog resources (monitors, logs, APM traces, dashboards, security signals, SLOs) via CLI commands and specialized agents, enabling observability workflows for infrastructure, applications, and CI/CD pipelines.

Orchestrate the entire AI-assisted development lifecycle with enforced quality gates at every stage—from ticket creation and brainstorming through TDD implementation, parallel code review, PR management, and postmortem analysis.

Run structured product discovery workflows: brainstorm ideas from PM/designer/engineer perspectives, build opportunity solution trees, prioritize features/assumptions with ICE/RICE/risk matrices, design low-cost experiments, generate user interview scripts/summaries per Mom Test/JTBD, and spec metrics dashboards with Markdown outputs.

Generate Google-SRE-style blameless incident postmortems from a tracker URL. The agent gathers evidence from Slack, Datadog, and pull requests, builds a chronological timeline with evidence tags, and writes a markdown document with summary, impact, timeline, root cause, and action items.