Full LGTM stack with metrics, logs, and distributed traces pre-configured and ready to use.
Stop guessing from resumes. Drop candidates into this exact workspace, watch them build and operate it end-to-end, score the result automatically, and replay the session. We also evaluate how they work with AI.
Hire observability engineers who instrument services so problems are obvious. Real Prometheus, Grafana, Loki and OpenTelemetry. Live or take-home.
Hire SREs who actually run production. Live workspaces with metrics, logs, traces and a service that is starting to misbehave. We record every keystroke.
Hire DevOps engineers who actually ship. Run live or take-home interviews in production-like Linux environments with Docker, Kubernetes, Terraform and CI/CD. See how they debug, automate, and work alongside AI.
Hire performance engineers in real workspaces with k6, Locust and JMeter, profiling a real service under real load.
Standalone Grafana instance for building dashboards and visualizing metrics, logs, and traces from Prometheus, Loki, Tempo, SQL databases, and many other sources.
Grafana Loki log aggregation system for cost-effective, label-indexed storage and querying of logs at scale, pairing naturally with Grafana for visualization.
Grafana Mimir, a horizontally scalable time-series database for long-term storage and fast querying of Prometheus-compatible metrics at massive scale.
Grafana Tempo, a high-scale distributed tracing backend for storing and querying traces across microservice architectures, integrating naturally with Grafana.