Sort by duration, spot latency outliers, and open detailed trace views to see where request time is spent across services and dependencies.
Filter traces by service, span, Kubernetes, HTTP, network, process, telemetry, URL, or any available field to scope the investigation fast.
Use waterfall views, span details, trace ID lookup, SQL, and AI summaries to move from request path to root cause in one platform.
Why Parseable
Parseable brings traces from across your services into one explorer, so teams can follow requests, inspect spans, find latency bottlenecks, and investigate failures without switching tools. Traces stay connected to logs and metrics, helping teams move from a slow request to root cause faster.
Browse traces by service, operation, trace ID, timestamp, duration, and span count from one explorer built for distributed trace investigation.
Filter by service, span status, Kubernetes fields, HTTP metadata, URL, process, telemetry, or any available trace field.
Inspect parent-child span relationships in a waterfall timeline to see which service, operation, or dependency added latency.
Open any span to review duration, start time, service details, span IDs, and attributes tied to that part of the request path.
Use AI summaries to surface errors, anomalies, and drilldowns, or open trace data in SQL for deeper span-level analysis.
Use Cases
Find the slowest traces, drill into the spans that consumed the most time, and follow the request from edge to dependency in one view.
Find the slowest traces, drill into the spans that consumed the most time, and follow the request from edge to dependency in one view.
Compare p50, p95, and p99 latency across services to identify which service is dragging down user-facing requests. Pivot from an outlier service straight into the slowest traces it produced.
Filter traces to error spans only, inspect the operation, status code, and span attributes, and follow the request path that led to the failure.
Slice traces by pod, namespace, node, container, or any Kubernetes attribute carried on the span. Find the pod or node responsible for a slow request without leaving the trace view.
Move from a slow or failed trace straight to the logs emitted on the same request path. Parseable links traces and logs by trace_id and time window so investigation stays in one platform.
Also from Parseable
Search, filter, visualize, and investigate logs from any source in plain English or SQL, all from one platform.
Handle high-cardinality logs, metrics, and traces at a fraction of the cost with columnar storage.
Unify Kafka metrics, logs, and traces to catch lag, replication issues, and broker failures earlier.
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