Fiddler AI
fiddler.aiMonitor production ML and LLM systems for drift, quality, fairness, and agent behavior.
Monitor production ML and LLM systems for drift, quality, fairness, and agent behavior.
Discover network devices, graph their data, and send alerts from an SNMP-based monitoring system.
Route test traffic through a controllable TCP proxy to simulate latency, outages and other network faults.
Monitor websites and network services with protocol-specific checks, alerts, and private-network agents.
Monitor network performance and availability across IP devices from one central platform.
Self-hosted database observability that links node health to slow queries.
Bring logs, metrics, traces, and infrastructure monitoring into one observability workspace.
Assure service-provider network performance with active tests, real-time visibility, and predictive alerts.
Collect application logs, traces, and metrics, then explore the signals together in one hosted telemetry workspace.
Insert a transform-and-routing layer between telemetry sources and observability or security destinations.
Explore traces and wide events from instrumented applications to investigate production behavior.
Store metrics, logs, and traces in one database and query them with SQL or PromQL.
Stream per-second infrastructure metrics from Netdata Agents into local or cloud observability views.
Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.
Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.
Collect infrastructure and application metrics, chart them, and alert when monitored conditions need attention.
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.
Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.
Instrument API traffic to analyze customer behavior, troubleshoot usage, and build metered API products.