Reduce your time to recover from an outage.
A continuously-updated topology of your Kubernetes estate built from the k8s API and OTel metrics and traces.
Microservices at scale fail in ways dashboards can't see.
A REST API can be a simple HTTP client or a battle-tested system with timeouts, circuit breaking, stateful retries, idempotency and other fault-tolerant mechanisms.
A single endpoint usually spans many execution paths (three sequential DB calls give 2³ = 8 distinct branches depending on whether they opened a new connection or borrowed from a pool). Collapsing them into one number averages away exactly the variation that matters.
Poor retry policies and error handling can cause cascading failures, keeping services from recovering long after the original fault is gone.
A common microservices trap is services calling each other in cyclic or ad-hoc ways. This reintroduces all the tight coupling of a monolith, but now with the network latency and failure modes of a distributed system.
arrca is an observability platform designed to be cloud-native and microservices-first.
Derive insights from your traces.
arrca collapses each assembled trace into a canonical variant of a root span.
That's what turns thousands of traces into a handful of recurring “interesting” structures you can triage instead of trying to understand the flow during an outage.
Derive insights from your K8s topology.
arrca maps your pods, deployments, nodes, HPAs, services and custom CRDs and fuses in the call and dependency structure from live traces and metrics.
One navigable graph gives you a clear picture of single points of failure, cyclical calls, and poor upstream / downstream choices.
Debugging production is often like finding a needle-in-a-haystack problem.
arrca's AI agents look at real production data and distilled signals from your graphs and flows, then surface the most likely candidates for root-cause analysis.
connection pool exhausted
error rate increased
possible missing index on table 'cart_items'
Kafka, MySQL, HTTP, gRPC, application runtimes (the JVM, goroutines), containers, nodes, pods, autoscalers and many more are all first-class entities in graphs and flows.