Search results

Send infrastructure metrics, logs, traces, and synthetic checks to a hosted observability workspace.

Filter, transform, sample, and route telemetry before it reaches storage or an observability backend.

A hosted server-monitoring service for host metrics, cloud integrations, containers, alerts, and dashboards.

Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.

A portable C library and reference for loading and rendering fonts.

Discover supported services and connect application, infrastructure, and user-experience signals for investigation.

Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.

Deploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.

A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.

Store and query observability telemetry in a columnar data lake with SQL and PromQL.

Deploy Git-backed applications to managed containers with review apps, autoscaling and operational metrics.

Compare crypto discussion, blockchain activity and market behavior

Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.

Makes desks, rooms and coworking resources bookable.

Sales execution dashboards linking team metrics with coaching work

Define metrics as code and explore them through dashboards or natural-language analysis.

Workout delivery and progress records for trainers and multi-trainer gyms

Compare DeFi protocols with defined metrics and historical data

Select crypto market, network and reference-price datasets

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

Compare on-page and third-party SEO metrics for a supplied list of URLs.

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

Use enterprise Kanban boards and Lean metrics to follow work from planning through delivery.

Use network-flow and packet-derived metrics to locate performance degradation across network paths.