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

Deploy supported application code to managed dynos without administering the host servers.

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.

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.

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.

Monitor Kubernetes, containers, cloud services, and Prometheus metrics with managed collection and alerting.

A transactional hierarchical key-value database with interfaces for multiple programming languages.

Run your own Linux stack on a root-access VPS while InMotion maintains the underlying hardware and network.

Add application authentication and single sign-on with a self-managed identity server.

An AWS service emulator for local development and integration testing in CI.

Schedule long-running services and batch jobs across a cluster from declarative job specifications.

Use Red Hat's managed OpenShift application platform on Google Cloud; AWS deployments are available in select instances.

Use a managed Prometheus-compatible backend for metrics from EKS and other Kubernetes clusters.