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Promote application configuration through GitOps stages so a GitOps agent can deploy each stage.

Build and operate WordPress, Drupal, and Next.js websites through managed environments and Git-connected workflows.

Create repeatable local development environments with a Vagrantfile and managed virtual machines.

Query and update YAML, JSON, XML, and other structured data from the command line.

Run GitHub Actions-compatible workflows on Depot compute with local-run and job-debugging tools.

Automate dependency and lockfile updates through reviewable pull requests across many repository platforms.

Show estimated cloud-cost changes and FinOps checks alongside infrastructure code reviews.

Model Kubernetes builds, deployments, tests, and local development as a dependency-aware action graph.

Trace and investigate AI application calls with a local or self-hosted observability interface.

A Go library for verifying infrastructure code by deploying it, checking behavior, and cleaning up resources.

Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.

Provision Kubernetes clusters and node pools with Vultr-managed control-plane and worker-node operations.

An agent-based monitoring pipeline that turns checks and metrics into routed, actionable events.

Open a Git repository in a browser IDE backed by a Kubernetes development workspace.

Combine Python expressions and shell commands in one Python-based command prompt.

Develop, debug, and deploy Kubernetes applications through a shared CLI workflow.

Collect and inspect distributed traces from instrumented applications with a self-managed tracing platform.

Monitor system resources and processes from a terminal or web interface.

Collect, process, and route logs, metrics, and traces with a lightweight telemetry agent.

Advance application releases through configured deployment targets.

Run repository builds, tests, and deployments from a bitbucket-pipelines.yml file in Bitbucket Cloud.

Run event handlers, HTTP workloads, or isolated compute without managing servers.

Deploy app services from GitHub or templates, then manage them from a shared project dashboard.

Runs open models locally and exposes a developer interface for using them from apps and coding tools.