.NET Performance Monitoring
Get end-to-end visibility into your .NET performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with .NET monitoring to optimize your application.
When .NET Production Becomes Opaque?
Thread Contention Blindness
Thread pool pressure builds gradually. Engineers notice slowdowns without clear visibility into execution blocking.
Async Flow Breakage
Async and await chains lose continuity. Root-cause analysis stalls when execution context fragments across calls.
Exception Context Gaps
Unhandled exceptions surface without full runtime state. Engineers see failures but lack execution ownership.
Dependency Injection Shadows
External calls degrade unpredictably. Failures appear internal while root causes sit outside service boundaries.
Database Bottleneck Ambiguity
Latency spikes lack attribution. Mapping slow responses to specific database interactions becomes manual.
Configuration Drift Risks
Runtime behavior diverges across environments. Teams lose confidence in pre-production validation.
Garbage Collection Pressure
Memory pressure accumulates silently. Performance degrades before engineers recognize GC impact.
EF Query N+1 Plagues
Change tracking triggers hidden roundtrips per entity load. Devs profile DB hits without ORM execution plans.
Inspect Performance Characteristics of .NET Requests with Precision
Break down how long each request spends in key stages of your .NET app so you can isolate slow components and optimize with confidence.
Unclear Request Breakdown Under Load
Without request-level timing, slow pages can feel random, and precise spans are needed to see how long controllers, model binding, and serialization actually take.
Database Execution Padding Overall Response
Heavy SQL, inefficient LINQ, or repeated queries extend request duration, and correlating SQL cost with traces shows exactly where time is consumed.
Cache Miss Costs Masked Without Traces
Under-utilized or failing cache layers add time to request handling, and per-trace cache timing reveals the true impact on delivery duration.
Outbound Services Adding Invisible Waits
Third-party APIs such as authentication, payment gateways, or search services can extend response time, and per-call latency in traces shows which calls are most costly.
Garbage Collection and Thread Contention Affecting Throughput
Runtime pauses and thread pool contention under concurrent traffic can degrade overall handling, and correlating runtime metrics with traces exposes actionable patterns.
Why Teams Choose Atatus?
.NET platform architects choose Atatus for uncompromised runtime diagnostics that bypass APM complexity. SREs deploy with proven thread and heap fidelity.
Allocation Site Precision
Heap snapshots tag retainers to source lines instantly. Backend teams prune leaks pre-production escape.
Await Chain Continuity
Async flows preserve state machine contexts across pools. Devs trace deadlocks through Task continuations cleanly.
Worker Queue Telemetry
ThreadPool metrics expose starvation thresholds live. SREs tune min/max threads against workload bursts.
ORM Hydration Breakdowns
EF timings split tracking from SQL execution natively. Platform owners optimize entity graphs systematically.
Hub Connection Lifecycles
SignalR streams map subscriber loads to backplane latency. Backend scales hubs with protocol-specific insights.
Lower Debug Variability
Engineers move through consistent analysis paths that reduce dependency on individual experience, ensuring incidents are diagnosed the same way across teams, shifts, and on-call rotations.
Domain Recycle Audits
AppDomain terminations capture open handles pre-evict. Platform ops harden pools with leak forensics.
Span Correlation Depth
Joins business transactions to infra primitives end-to-end. .NET crews slash MTTR across distributed tiers.
Proto Overhead Breakdowns
gRPC serialization splits CPU costs from network transit. Devs optimize protobuf schemas against live payload profiles.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
Frequently Asked Questions
Find answers to common questions about our platform