Transactional inspection
Live transactions, durations, the SQL timeline of each one — the verbs your APM forgot.
Axelix is the AI-Native, OSS solution for debugging, observing and operating mission-critical Spring Boot microservices. Every capability is exposed twice — to human engineers through the web, and to AI agents through an embedded MCP server.
/checkout jumps 8.org.hibernate.SQL at TRACE to see the slow query.Every capability is exposed twice. Engineers reach it through a web console; AI agents reach the same actions through an embedded MCP server. A single role model gates both — each identity, human or agent, sees only the data and actions its role permits.
Live transactions, durations, the SQL timeline of each one — the verbs your APM forgot.
Effective values for every @Value and bound prefix — and where they actually came from.
Flip log levels per package, live — no redeploy, no SSH, fully audited.
The live bean graph plus the @Conditionalverdicts — why each bean is here, or isn't.
Every env source the JVM sees, ranked by precedence — with selective masking.
Cache managers, hit/miss rates, evict and clear — from a button or a tool call.
Threads, states, locks and contention — on demand, no kill-switch required.
Live GC events, pause times and tuning signals — not just a chart, a feed.
Inspect cron and fixed-delay tasks; toggle, force-run, or rewrite expressions live.
Auto-configuration matched and not-matched, with the reason for every verdict.
Service metadata, build info, runtime version — the boring stuff you need at 3 AM.
One-click bundle of dumps, beans, configs and conditions — for incidents and audits.
Pick how you run things — Docker, Compose, or Kubernetes. Spin up the master, drop the starter into your app, point it at the master. The service shows up in the console and on the MCP server within seconds.
Axelix Enterprise extends the open core with the controls, integrations and support platform, security and compliance teams ask for — without forking the surface engineers already learned. The OSS keeps shipping, in the open. Enterprise is what you reach for when one cluster becomes ten and audit asks who changed what at 3 AM.
SAML / OIDC, SCIM provisioning, group → role mapping. Plug into your existing IdP.
Per-action policies, per-service scopes, per-environment guards. One model for humans and agents.
Immutable audit log, SOC 2 / ISO 27001 evidence pack, BYO-S3 export, retention policies.
Federated masters across regions, single pane of glass, region-aware routing.
Offline install bundle, no telemetry, BYO container registry. For everything that can't leave the network.
Named engineer, SLA, priority CVE patches, roadmap input. A vendor at the end of an email.
We're picking a handful of teams to shape what ships first. Tell us about your fleet — we'll be in touch within a working day.
Everything you'd ask before pointing answer console at your fleet — license, safety, platform support, and what's next.
The open-source console for debugging, observing and operating Spring Boot microservices in production. Every capability is exposed twice — to engineers through a web console, and to AI agents through an embedded MCP server. A single role model gates both.
Spring Boot 2, 3 and 4 — through dedicated starter artifacts (axelix-spring-boot-2-starter, -3-starter, -4-starter). The master runs on JVM 11–25. No JVM agent, no flags, no custom boot order.
Yes. Axelix OSS is licensed under LGPL-3.0— link it into your production apps, fork it, ship your own changes. We're building Axelix Enterprise on top (extensions and paid support for teams that want them), but the open core stays open.
It's designed for production. The master speaks to your services over an authenticated channel; a single role model gates both human engineers and AI agents — each identity sees only the data and actions its role permits. Destructive operations are explicit and confirmable.
Actuator exposes the data; Axelix exposes the verbs.We build on the actuator endpoints your apps already have, then add what actuator doesn't: a unified fleet console, an MCP server, runtime mutation under a role model, transactional inspection with SQL timelines, and a clear story for AI agents.
We're building something bigger. Stay tuned.
Architectural questions, production-readiness checks, enterprise pilots. Anything not answered above is the kind of thing we like answering directly.