Developer Tools

Aggregate the published status of the external services your team depends on.

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

A Windows web-code editor with language-aware tools, project navigation and FTP publishing.

A terminal-native editor built around multiple selections, syntax-aware navigation, and language-server features.

Define and start a multi-container application from one Compose file and a single CLI command.

Develop APL programs in an integrated environment with a Windows IDE and the cross-platform RIDE interface.

Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.

Mobile app observability for crashes, performance, user sessions, and product signals.

Trace, analyze, and improve LLM and agent applications in a hosted or self-managed workspace.

Run and coordinate existing test workflows across Kubernetes runners, then inspect their logs and artifacts.

A Go testing framework for organizing expressive suites and behavioral specifications.

Compose, govern, observe, and serve a federated GraphQL graph across APIs and teams.

Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.

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

Automate unit and regression testing for embedded C/C++ software, from test design to target execution and coverage analysis.

Build, test, publish, and deploy containerized applications to Kubernetes.

AI-guided cloud-native observability for telemetry, service health, and cost control.

Create, publish, secure, and monitor REST, HTTP, and WebSocket APIs.

Run container-native workflows as DAGs or ordered steps on a Kubernetes cluster.

Track project history locally, branch freely, and share selected commits with collaborators.

Choose a file-focused editor or add project-wide build and debug tools.

A browser-based Python notebook environment that runs on hosted compute and can load or share Jupyter notebooks.

Use a Git-compatible version-control system with change IDs, working-copy commits, and an operation log.

Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.