Trace Nest.
Find the bottleneck in minutes.
A focused observability platform for API monitoring, database monitoring, distributed tracing, and microservices root cause analysis. It correlates API performance, database query cost, infrastructure context, and nested call chains using request IDs. Built to answer the questions that matter: what got slower, why, and where?
The shortest path from spike to root cause
Most dashboards show you that something is wrong. Trace Nest helps you prove what caused it: which API call, which DB query, which service dependency, and which nested chain amplified the latency.
Every view is grounded in a request UUID so you can pivot from high-level trends to concrete evidence.
Identify slow queries, see their repository/method, and understand how they contribute to request time.
When a service fans out to other services, latency multiplies. Track nested calls and chase the critical path.
A simple data model that scales with your microservices
You instrument services to emit API + DB metrics with a shared request UUID, then explore them in dashboards. No heavy vendor lock-in.
Capture requestUUID, timings, payload sizes, status, and nested call IDs at the service edge.
Store API metrics + DB query metrics in MongoDB (or your preferred backend) for fast querying.
Filter by endpoint, drill into a request, inspect queries, and visualize distribution with charts.
Want help wiring correlation IDs and DB metrics? We can help you standardize the payload and build dashboards per microservice.
Everything we capture to explain performance
Trace Nest surfaces the exact data you need for observability and APM: request timings, DB query cost, infra context, distributed trace links, and the logs that explain what failed.
Latency breakdowns, status codes, payload size, client context, and per-endpoint rollups.
Repository + method names, query time, affected rows, and slow query flags.
Understand fan-out chains with requestUUID, parentRequestId, and nested call IDs.
CPU, memory, disk, and network signals aligned with service incidents.
Exception messages and structured logs are available when you need evidence.
Define alert rules and control who can access each dashboard.
Explore live pages
Jump straight into the modules. Each page is designed to stay readable on desktop and mobile.
Latency, status codes, payload sizes, and per-request drilldowns.
User activity, request volume, and response distribution.
See which APIs power each page and where errors cluster.
Query log, p95 latency, slow-query hotspots, and details.
Drag, resize, and compose charts from your DB metrics dataset.
Unified API, DB, and infra panels with at-a-glance health scores.
Create alert rules for latency, DB query spikes, and infra thresholds.
Grant per-dashboard access and manage org users.
Built for observability search intent
Trace Nest is positioned for teams comparing observability software, API monitoring tools, DB monitoring platforms, distributed tracing, and microservices performance tooling.
Track latency, status codes, payload sizes, and endpoint-level regressions across production services.
Inspect query latency, slow-query flags, repository methods, and request-linked database hotspots.
Follow request UUIDs, parent-child call chains, nested service fan-out, and trace-linked evidence.
Correlate API, DB, infra, and alerting signals across service boundaries to reduce MTTR.
Find what got slower, which dependency amplified it, and what engineers should inspect next.
Move from spike detection to evidence-backed diagnosis with request-centric drilldowns and dashboards.
Questions teams ask before choosing an observability tool
These are the topics engineering teams usually search when they are evaluating observability, tracing, and monitoring platforms.
What does Trace Nest monitor?
Trace Nest monitors API performance, distributed traces, nested service calls, database query latency, infrastructure context, and alert conditions in one observability workflow.
Is Trace Nest built for microservices?
Yes. Trace Nest is designed for microservices observability with request correlation, service-to-service tracing, database query analysis, and root cause investigation.
Can Trace Nest help with slow APIs and database bottlenecks?
Yes. It correlates API latency, request UUIDs, database query cost, nested call chains, and infrastructure signals so teams can find the bottleneck faster.
Pick a plan and ship faster
Start with a free trial, then scale per microservice ingestion as your system grows. Unlock logs, DB + API alerts, and deeper retention as you move up.