OpenSearch Observability Stack
observability.opensearch.orgDeploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.
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.
Correlate network, server, application, database, and cloud signals in a customer-operated hybrid IT observability platform.
Combine network flow, device, cloud, and synthetic telemetry to investigate traffic and service performance.
Store and query observability telemetry in a columnar data lake with SQL and PromQL.
Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.
Inspect Kubernetes network flows and service relationships through Cilium's CLI and optional service-map interface.
Explore logs, metrics, traces, and exceptions in one OpenTelemetry-based observability platform.
Unified observability and AI-driven operations for hybrid environments.
Collect and analyze network flows and telemetry to understand performance and activity across connected systems.
Unify network monitoring for enterprise-scale operations across complex, multi-vendor environments.
Bring application, infrastructure, database, network, log, and digital-experience monitoring into one hosted workspace.
Map network devices and surface bandwidth, packet-loss, jitter, and connectivity issues with live alerts.
Trace LLM and agent runs, then monitor production quality, latency, errors, and cost in dashboards.
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.
Correlate network and application signals to find disruptions across hybrid infrastructure.
Use network-flow and packet-derived metrics to locate performance degradation across network paths.
Self-hosted full-stack observability with eBPF telemetry and service-level insights.
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.
Collect logs, metrics, traces, and profiles in a unified observability platform.
Measure network-path quality between sites with continuous synthetic probes and performance diagnostics.