For Platform Engineering Teams
Build the platform
your devs deserve.
Deliver production-grade, self-serve observability across your entire engineering organization without forcing developers to learn proprietary tools or configure custom daemons.
Zero-overhead kernel probes for TCP, HTTP/2, and DNS latency without application restarts.
Automatic span injection with W3C baggage propagation across polyglot microservice runtimes.
Tracks token consumption, prompt drift, model invocation latency, and tool execution trees.
Single ClickHouse backend for logs, traces, metrics, and profiles with zero storage silos.
Indexes span IDs directly into log metadata, eliminating manual grep during production outages.
Continuous IQR & seasonal forecasting to alert on statistical anomalies before customers report errors.
Correlates telemetry with git commit history and engineering runbooks to draft instant post-mortems.
Routes rich incident cards with trace IDs, flamegraphs, and error frequencies directly into Slack and PagerDuty.
Human-confirmed operator actions: traffic shedding, canister isolation, and canary rollbacks.
Problem & Solution
The challenges every platform engineering teams faces
And how aiAxonIQ solves them with unified telemetry.
Fragmented Internal Tooling
Different developer teams adopt competing logging and tracing tools, producing fragmented islands of observability that prevent cross-team debugging and create an administrative nightmare.
A unified multi-tenant observability portal with shared service maps, standardized metric definitions, and team-specific workspaces governed by granular RBAC controls.
Explore All modulesSlow Developer Onboarding
Instrumenting a new microservice requires installing custom agent binaries, configuring proprietary libraries, and creating dashboards from scratch, adding days of friction to release cycles.
Zero-touch OpenTelemetry auto-instrumentation and instant kernel-level eBPF tracing. Point any standard OTel SDK at one endpoint and services appear fully mapped and monitored instantly.
Explore APM & TracingCluster Blindspots & Capacity Surprises
Kubernetes cluster resource usage is opaque, leading to either costly cloud over-provisioning or catastrophic Out-Of-Memory (OOM) pod evictions during peak traffic.
Native Prometheus remote-write ingestion paired with FBProphet predictive capacity forecasts to anticipate node saturation and memory bottlenecks weeks before they impact production.
Explore MetricsExecution Flow
How it works in practice
Your improved workflow from ingestion to resolution, step by step.
Unified Architecture
Platform modules used
Everything platform engineering teams need, in one place.
Why it works
Architected for Enterprise Multi-Tenancy
Platform teams require robust governance that scales with organizational growth. aiAxonIQ injects tenant identity directly at the ingest gateway and enforces boundaries across every ClickHouse query. With role-based access control (Owner, Admin, Editor, Viewer), SSO integration, and cryptographically verified audit trails, platform engineers can empower dozens of autonomous squads without compromising security or compliance.