Logs & Monitoring collects searchable records for inference requests, training jobs and endpoint events, with dashboards for latency, throughput and errors. Users can filter logs, follow live activity and review limits and quotas.
The product is for teams observing services and model workloads in the LegionEdge platform. It brings request and endpoint telemetry together with service-level dashboards, while prompt and response logging can be controlled per project.

Logs & Monitoring provides searchable service logs and performance dashboards across workloads.


Unified log management and analytics platform for rapid troubleshooting and security insights across cloud environments.



Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.


OneUptime's MCP server exposes incidents, monitors, logs, metrics, and traces to AI coding clients over the Model Context Protocol.



Evidently AI's ML Monitoring is an open-source Python library for ML and LLM model monitoring and evaluation.


Unified observability platform for investigating production software with high-cardinality telemetry across traces, metrics, and logs.


Session replay product from LogRocket that captures DOM playback, console and network logs, errors, and performance data automatically.


The Monitor Hub MCP server gives AI assistants read-only access to live infrastructure telemetry.


Parallel Monitor tracks web changes and sends structured event notifications.



An AI site reliability engineer that verifies production changes, investigates regressions, and proposes root-cause fixes.


Raygun Application Performance Monitoring gives code-level visibility into server-side performance with traces and root cause analysis.


OpenTelemetry-native telemetry pipeline product for enterprise observability.


Agent observability service that records every production agent trace and finds silent failures without sampling.


Nova Uptime MCP server exposes website monitoring and email-health tools to AI assistants.


Unified observability platform for monitoring, investigating, and acting on data across hybrid and multi-cloud environments.


AI Control Plane monitors, evaluates, and governs enterprise AI agents across their lifecycle.


Sentry is a developer-first application monitoring platform for error tracking and performance.


Cronitor's cron job monitoring alerts teams when scheduled jobs fail, start late, or never finish.
Unified log management and analytics platform for rapid troubleshooting and security insights across cloud environments.

Traces and quality metrics for agent web calls.

Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.

OneUptime's MCP server exposes incidents, monitors, logs, metrics, and traces to AI coding clients over the Model Context Protocol.

Dash0 is an OpenTelemetry-native observability platform for engineering teams, unifying logs, metrics, traces, and profiles with usage-based pricing.

Evidently AI's ML Monitoring is an open-source Python library for ML and LLM model monitoring and evaluation.

Unified observability platform for investigating production software with high-cardinality telemetry across traces, metrics, and logs.

Session replay product from LogRocket that captures DOM playback, console and network logs, errors, and performance data automatically.

The Monitor Hub MCP server gives AI assistants read-only access to live infrastructure telemetry.

Parallel Monitor tracks web changes and sends structured event notifications.

AgentOps is an observability platform for tracing, debugging, replaying, and monitoring AI agent activity.

An AI site reliability engineer that verifies production changes, investigates regressions, and proposes root-cause fixes.

Raygun Application Performance Monitoring gives code-level visibility into server-side performance with traces and root cause analysis.

OpenTelemetry-native telemetry pipeline product for enterprise observability.

Agent observability service that records every production agent trace and finds silent failures without sampling.

Nova Uptime MCP server exposes website monitoring and email-health tools to AI assistants.

Unified observability platform for monitoring, investigating, and acting on data across hybrid and multi-cloud environments.

AI Control Plane monitors, evaluates, and governs enterprise AI agents across their lifecycle.

Sentry is a developer-first application monitoring platform for error tracking and performance.

Cronitor's cron job monitoring alerts teams when scheduled jobs fail, start late, or never finish.
