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Store metrics, logs, and traces in one database and query them with SQL or PromQL.

Trace AI application behavior, surface recurring issues, and monitor agent quality, latency, and cost.

Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.

Trace AWS and serverless applications with transaction context and related troubleshooting signals.

Trace Python services and AI workflows with correlated OpenTelemetry data.

Active observability for inspecting agent traces and discovering production behavior patterns.

Aggregate log streams by labels and query their contents through Grafana Loki.

A small lab specialising in AI and infrastructure, building products for the next generation of web users.

Instrument API traffic to analyze customer behavior, troubleshoot usage, and build metered API products.

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

Investigate monitoring alerts with an AI SRE agent and review findings in a centralized platform.

Receive, process, and route traces, metrics, and logs to one or more observability backends.

Correlates application logs, traces, metrics, errors, and session replays for incident investigation.

Stores and queries continuous application profiles to reveal resource use down to code-level details.

Collect and analyze metrics, logs, and traces, then alert or automate a response to service problems.

Monitor production ML and LLM systems for drift, quality, fairness, and agent behavior.

Collect and analyze network flows and telemetry to understand performance and activity across connected systems.

LLM tracing and quality monitors built around OpenTelemetry instrumentation.

Stores and searches application logs with LogsQL, a built-in explorer, and integrations for common collectors.

An AI SRE that detects issues before alerts fire and finds root causes.

Describe AWS resources in YAML or JSON templates and manage them together as stacks.

Provision GNU/Linux or Windows virtual machines on Infomaniak's OpenStack-based Public Cloud.

Build VM instances from preset or custom machine configurations on Google Cloud.

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