DevOps and SRE

Manages self-hosted cloud development environments and AI coding agents using Terraform-defined workspaces.

Enables local development by bulk port forwarding Kubernetes services to your workstation with automatic service name resolution via /etc/hosts.

Enables AI agents to perform step-through debugging, set breakpoints, and inspect variables across ten programming languages using the Debug Adapter Protocol.

Connects AI clients to GitHub so they can read repositories, manage issues and pull requests, and inspect workflows.

Lets an AI client query and control an Unraid server's array, VMs, Docker containers and notifications via its GraphQL API.

Lets an AI client manage Fly.io apps and machines, deploy Docker images, read logs, and run commands on machines.

Gives AI clients specialized tools to work with AWS services, documentation, and cloud workflows.

Lets an AI client list, query, and modify AWS DynamoDB tables and items with configurable tool and table access controls.

Allows AI agents to query and provision cloud and SaaS resources across dozens of providers using SQL semantics.

Allows an AI client to interact with Grafana dashboards, query various datasources like Prometheus and Loki, and manage dashboard configurations.

Enables AI assistants to interact with real-time infrastructure monitoring data, including metrics, logs, alerts, and anomaly detection.

Lets an AI client access product analytics, feature flags, experiments, dashboards, and error tracking data.

Gives AI clients real-time global intelligence on conflict, markets, energy, trade, shipping and cyber events.

Allows AI agents to interact with Couchbase clusters and Operational Insights to manage data, query schemas, and monitor cluster health.

Lets an AI client query cluster-wide Kubernetes network traffic, investigate API calls, and perform root cause analysis using eBPF-powered observability.