ApexData uses eBPF to build a real-time dependency map of your entire cluster — automatically discovering services, connections, and traffic flows.
A continuously updated map of how your services communicate — a living map of your infrastructure
Give new engineers an interactive map of the entire architecture. No more reading outdated wiki pages or asking five people how services connect.
Identify all consumers of a service before migrating. See the real dependency chain, not what was documented when the service was built.
Instantly see the blast radius of a failing service. Trace upstream and downstream dependencies to understand cascading impact.
Understand traffic patterns between services. Identify bottlenecks and where scaling will have the most impact.
Verify that services communicate only through approved paths. Detect unauthorized connections or unexpected external dependencies.
Use the live topology as the basis for architecture discussions. Compare actual behavior to intended design.
Your team spends hours every week stitching together Datadog, Splunk, Jaeger, and a Confluence wiki that's 6 months out of date. ApexData replaces all of it — and actually shows you what's broken.
Someone draws diagrams in Miro. Someone else annotates services. Six months later it's wrong and nobody updates it.
Connect your cluster. Every service, dependency, and traffic flow appears automatically — from real network data, not documentation.
Datadog for metrics, Splunk for logs, Jaeger for traces. You manually cross-reference timestamps. The incident is still live while you're searching.
AI correlates logs, metrics, and traces across all services simultaneously. You get a diagnosis — not a dashboard to stare at.
Shadow services, undocumented dependencies, and third-party calls are invisible. You find out they exist when they break.
eBPF captures all traffic at the kernel level. Nothing is invisible — not even the services your team forgot existed.
New engineers spend their first week reading outdated wikis and asking five people how services connect. Expensive, slow, and demoralizing.
New engineers explore the actual, live topology on day one. Click any service to see what it talks to, what calls it, and how it's performing right now.
Someone on your team is responsible for keeping diagrams updated. Every deploy, every new service, every refactor — manual work that never ends.
The topology updates itself from live traffic. Deploy a new service — it appears. Remove one — it disappears. No human intervention required.
Unlike manually maintained diagrams, the application map updates continuously from actual network traffic. Your topology can never go stale.
eBPF-based discovery means no annotations, no service mesh required. Deploy and your topology appears immediately.
Goes beyond service names. See endpoint-level connection latency, error rates, and traffic volume on every edge.
Works across multiple clusters and namespaces. See your entire infrastructure in a single, interactive topology view.
Topology Features
Discovery
Topology
Traffic
Anomalies
Scale
Endpoints
Onboarding
Migration
Incident
Capacity
Compliance
Architecture
No more tab-switching
Traditional Stack
ApexData
Zero config
Why ApexData
