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Enterprise Layer Intelligence
Categories/APM & Observability/Last9
Last9

Last9

Founded 2020

Monitor metrics, logs, and distributed traces across cloud infrastructure and applications

You can use Last9 to manage and inspect telemetry data across your entire software stack. It aggregates metrics, logs, and distributed traces into a single view without exploding your data costs. You can drop noisy events before storage, jump between slow execution spans and related log lines, and query high-cardinality data with Prometheus compatibility. The system also connects to coding assistants and chat tools through an MCP server, helping your engineering teams catch errors, configure alerts, and fix production incidents quickly.

What Last9 does

Collect application metrics and logs via OpenTelemetryCreate visual dashboards to monitor service response timesTrace distributed backend requests across microservicesSet threshold alert rules and notification channelsInspect frontend user sessions and error replaysFilter high-volume telemetry data to control storage costsQuery system performance data directly from IDE chat interfacesIngest metrics, logs, and traces natively using OpenTelemetry and PrometheusRoute and drop noisy telemetry signals before they reach permanent storageCorrelate distributed traces directly with error logs without samplingRun high-cardinality queries without pre-aggregating dataTrack frontend performance metrics and user sessions with real user monitoringConnect AI coding assistants to telemetry data using an MCP serverRoute deduplicated alerts directly to Slack, PagerDuty, and OpsGenie

Frequently asked

GrafanaGrafanaKubernetesKubernetesPostgreSQLPostgreSQLDatadogDatadogAWSAWSNew RelicNew RelicGoogle CloudGoogle CloudSlackSlackDockerDockerPagerDutyPagerDuty

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Last9, observability, application monitoring, telemetry, OpenTelemetry, Prometheus, distributed tracing, log analytics, APM, high cardinality, incident response, real user monitoring, metrics, cloud monitoring, DevOps