Data lake design
Sort by duration, spot latency outliers, and open detailed trace views to see where request time is spent across services and dependencies.
Parseable handles high cardinality metrics efficiently with columnar architecture. Keeping queries fast and costs under control.
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.
Designed for teams that prefer to excel
at one task rather than juggle multiple tasks ineffectively.
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.
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.
Take a moment to explore our Frequently Asked Questions section, where you can discover a wealth of information and find the answers to all your inquiries.
Reach out to usThis software provides a comprehensive solution for data management, enabling users to streamline their workflows and enhance productivity. It integrates seamlessly with existing systems and offers robust analytics capabilities, ensuring that teams can make data-driven decisions effectively.
Search, filter, inspect, and analyze distributed traces in Parseable, with waterfall views, span details, SQL, AI summaries, and connected logs and metrics.