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

Instrument browser applications with client-side real-user monitoring signals for a Grafana observability stack.

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

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

Trace LLM and agent runs, then monitor production quality, latency, errors, and cost in dashboards.

Correlate network, server, application, database, and cloud signals in a customer-operated hybrid IT observability platform.

Explore logs, metrics, traces, and exceptions in one OpenTelemetry-based observability platform.

Open-source tracing and production evaluation for LLM applications and agents.

AI developer platform with Opik for LLM observability, evaluation, and agent debugging.

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

Unified observability and AI-driven operations for hybrid environments.

A local desktop IDE for running coding-agent CLIs and reviewing their project changes.

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

Observability, debugging, and replays for AI agents and LLM apps

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

Collect OpenTelemetry traces, metrics, and logs in a hosted or self-managed observability platform.

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

Instrument LLMs, agents, vector databases, and frameworks with OpenTelemetry-native AI monitoring.

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

Self-hosted full-stack observability with eBPF telemetry and service-level insights.

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

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

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

Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.