Maestro scores every method in your Java services and instruments deep where the code is complex, light where it isn’t — so the traces feeding your dashboards, your data platform, and your AI agents are complete, consistent, and governed at the source.
The OpenTelemetry agent sees the edges of your service — the request in, the database call out — but not the logic in between. So teams turn on auto-instrument-everything, drown in spans, and watch the bill climb. Then that same noisy, half-blind trace data becomes what feeds your analytics store and your AI agents.
Garbage in, garbage out. No dashboard, query, or model fixes telemetry that was already wrong before it left the JVM. And as traces become observability’s source of truth — with logs and metrics increasingly derived from them — the quality of your traces is the quality of your observability.
No source access. No annotations. No rewrites. You hand Maestro your compiled application, tell it what you care about, review what it proposes, and ship.
One or many compiled JARs. Maestro works from bytecode — it never reads, rewrites, or sees your source.
It builds the cross-service call graph, then scores every method against the observability goals you pick.
See exactly what gets traced and captured. Toggle methods, set policy, lock it in. Nothing reaches prod unseen.
Maestro generates an OTel extension JAR per service. Standard OTLP flows to whatever backend or agent you run.
Fix the trace data at the source and the downstream problems dissolve — the ones you can prove today, and the one the whole industry is racing toward.
Complete across services, deep where it counts, consistent everywhere, and governed before deploy. The signal is right because it’s right at the source — not patched up after the fact.
Provable todayYour data platform and AI / SRE agents are only as good as what you feed them. Clean, complete, labeled traces turn “the model guessed” into “the model knew.” We make the new stack work — we don’t compete with it.
The frontier we’re building towardStop paying to store noise. Maestro keeps full fidelity on the paths that matter and trims the rest — and our pricing never scales with your data volume, so we don’t profit when your bill grows.
Provable todayTeams are leaving closed APM behind for open standards, their own data platforms, and AI-driven analysis. Maestro is the layer that makes that move pay off — sitting between your Java services and whatever you’ve chosen downstream.
Vendor-neutral by design. Same OpenTelemetry rails, clean signal, zero lock-in. The agent layer legacy APM made proprietary — now open, governed, and yours.
The same application should be instrumented differently depending on what you’re trying to do. Your priorities set the depth — not a one-size-fits-all default.
Everything Maestro produces is inspectable, diff-able, and yours. Read it, review it in a pull request, check it into your repo.
An OpenTelemetry extension JAR per service — the instrumentation itself.
A readable plan of every method, its tier, and what it captures.
The cross-service call graph Maestro built from your JARs.
The run configuration — standard OTel, ready to launch.
Open-source OTel hands you a standard and a firehose. Maestro is the control plane that makes it safe and economical to run at scale — across every team, on every push.
What changes on the ground when the trace data is finally right — told from each seat at the table.
Cleaner signal, faster root-cause, and a cost conversation that finally goes your way.
Read the story → The DeveloperNo instrumentation homework, no span tax in review, no redeploy just to see inside.
Read the story → The Platform EngOne instrumentation standard across sixty services — onboarded in minutes, not days.
Read the story → The ManagerObservability decoupled from release cycles, and a vendor negotiation that gets easier.
Read the story →Java is where enterprise observability cost and complexity bite hardest, so that’s where Maestro starts — ship-ready now. The same engine extends across the JVM and beyond next.
Start free on your own stack, or talk to us about a design-partner benchmark on your before-and-after — measured on your own services.
OTel config · all repos free · no card required