Thread Contention Blindness
Thread pool pressure builds gradually. Engineers notice slowdowns without clear visibility into execution blocking.
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.
Thread pool pressure builds gradually. Engineers notice slowdowns without clear visibility into execution blocking.
Async and await chains lose continuity. Root-cause analysis stalls when execution context fragments across calls.
Unhandled exceptions surface without full runtime state. Engineers see failures but lack execution ownership.
External calls degrade unpredictably. Failures appear internal while root causes sit outside service boundaries.
Latency spikes lack attribution. Mapping slow responses to specific database interactions becomes manual.
Runtime behavior diverges across environments. Teams lose confidence in pre-production validation.
Memory pressure accumulates silently. Performance degrades before engineers recognize GC impact.
Change tracking triggers hidden roundtrips per entity load. Devs profile DB hits without ORM execution plans.
Real-time observability for .NET workloads that helps teams track request performance, optimize execution flow, and resolve production issues faster.
Track the full lifecycle of every request from entry to response. Quickly identify latency introduced across controllers, middleware, and dependencies.

Measure how much time each route handler and controller action consumes during request processing. Pinpoint slow execution paths affecting performance.

Analyze database query execution time and resource usage in real time. Eliminate inefficient SQL operations slowing application responses.

Monitor cache hit performance alongside response times for external services. Understand how caching behavior and outbound calls impact request speed.


.NET platform architects choose Atatus for uncompromised runtime diagnostics that bypass APM complexity. SREs deploy with proven thread and heap fidelity.
Heap snapshots tag retainers to source lines instantly. Backend teams prune leaks pre-production escape.
Async flows preserve state machine contexts across pools. Devs trace deadlocks through Task continuations cleanly.
ThreadPool metrics expose starvation thresholds live. SREs tune min/max threads against workload bursts.
EF timings split tracking from SQL execution natively. Platform owners optimize entity graphs systematically.
SignalR streams map subscriber loads to backplane latency. Backend scales hubs with protocol-specific insights.
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.
AppDomain terminations capture open handles pre-evict. Platform ops harden pools with leak forensics.
Joins business transactions to infra primitives end-to-end. .NET crews slash MTTR across distributed tiers.
gRPC serialization splits CPU costs from network transit. Devs optimize protobuf schemas against live payload profiles.
Atatus adapts to how engineering teams work across development, operations, and reliability.
Debug errors and slow paths with the full context of what happened.
Atatus for developersTrack deployments and see how each release affects stability.
Atatus for DevOpsWatch latency and error rates to ship with less production risk.
Atatus for release engineersPricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
The .NET performance monitoring tool helps developers to optimize the .NET server performance.
A good .NET APM solution answers the following two questions:
You can easily use application performance monitoring tools to answer, detect and resolve the above issues before they could impact the end users.
In general, there are two types of monitoring:
Every organization should have a well-implemented .NET APM solution, which allows DevOps teams (and the organization as a whole) to resolve issues and performance bottlenecks efficiently and reduce Mean Time To Resolution (MTTR). This has a substantial impact on the bottom line of the business.
Now organizations do not have to deal with the unnecessary work involved in maintaining an extensive software analysis group.
Your .NET performance monitoring tools should be easy to use, offer actionable insights, and be able to:
Technical Benefits:
Business Benefits:
With the help of the database monitoring, you can easily identify the database performance bottlenecks.