Metric monitoring
for your entire environment.

Parseable unifies metrics across your environment, helping teams monitor, filter, alert, and investigate performance from one platform.

MetricsAI native

Find metrics faster

Browse discovered metrics with names, types, descriptions, data point counts, and time-series behavior from one place.

Narrow the signal

Filter by service, Kubernetes, container, cloud, database, network, telemetry, or any custom field to isolate the metric behind a performance change.

AI Alerts & AI

Create alerts, add charts to dashboards, forecast trends, and use AI summaries to understand unusual metric behavior faster.

Metric monitoring with complete
visibility

Designed for teams that prefer to excel
at one task rather than juggle multiple tasks ineffectively.

See every metric in one place

Find the right signal

Alert from metric context

Compare trends faster

Save what matters

Query metrics with PromQL

Parseable lets teams query metrics with PromQL to filter, group, and aggregate by service, namespace, pod, region, endpoint, or any useful label while keeping metrics connected to logs and traces.

01

Find the right metric fast

Use PromQL label matchers to narrow metrics by service, pod, namespace, endpoint, region, or workload before the investigation gets noisy.

02

Turn series into signal

Group and aggregate metric data by labels like service, cluster, namespace, or tenant to turn raw time-series volume into focused operational views.

03

Use familiar queries in Parseable

Teams already using Prometheus-style queries can bring the same PromQL workflow into Parseable while keeping metrics connected with dashboards, alerts, logs, and traces.

Use cases

Designed for teams that prefer to excel at one task rather than juggle multiple tasks ineffectively.

Search application and infrastructure logs alongside the traces and metrics from the same request. Follow an error across services without switching tools or losing the surrounding context.

  • Correlate application errors with infrastructure signals
  • Filter logs by service, pod, region or trace ID
  • Investigate latency and failures in the same time window
See OpenTelemetry log ingestion

Frequently asked questions?

Take a moment to explore our Frequently Asked Questions section, where you can discover more about metric monitoring in Parseable.

Reach out to us

Parseable gives teams one place to browse, filter, visualize, alert on, and investigate metrics across their environment.

Other solutions

Log Monitoring

Search, filter, visualize, and investigate logs from any source in plain English or SQL, all from one platform.

Read more

High Cardinality Observability

Handle high-cardinality logs, metrics, and traces at a fraction of the cost with columnar storage.

Read more

Kafka Observability

Unify Kafka metrics, logs, and traces to catch lag, replication issues, and broker failures earlier.

Read more

Turn metric spikes into answers.

Unify metrics across your environment in Parseable, then filter, visualize, alert, and investigate performance with dashboards, SQL, forecasting, AI summaries, and connected logs and traces.