Dash0
dash0.comCollect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.
Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.
Store and query observability telemetry in a columnar data lake with SQL and PromQL.
AI-guided cloud-native observability for telemetry, service health, and cost control.
Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.
Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.
Store and query distributed traces with a scalable tracing backend.
Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.
Correlate application traces, metrics, logs, and service context to investigate performance.
Measure app startup, screen rendering, and HTTP/S request behavior, then compare performance across releases and devices.
Capture and group application errors, then use stack traces and release context to investigate the failures reaching users.
Trace server-side requests to find slow methods, database queries, and external service calls.
Collect and inspect distributed traces from instrumented applications with a self-managed tracing platform.
Active observability for inspecting agent traces and discovering production behavior patterns.
Collect application metrics and traces with eBPF-based auto-instrumentation instead of adding a language agent.
Filter, transform, sample, and route telemetry before it reaches storage or an observability backend.
Trace Python services and AI workflows with correlated OpenTelemetry data.
Send infrastructure metrics, logs, traces, and synthetic checks to a hosted observability workspace.
Discover supported services and connect application, infrastructure, and user-experience signals for investigation.
Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.
Receive, process, and route traces, metrics, and logs to one or more observability backends.
An open-source telemetry collector for gathering, transforming, and exporting logs, metrics, traces, and profiles.
Stores and queries continuous application profiles to reveal resource use down to code-level details.
Capture application errors, stability signals, performance issues, and traces across mobile and web apps.
Open-source tracing and production evaluation for LLM applications and agents.