Building a Custom .NET Memory Profiler for Your Team
š Building a Custom .NET Memory Profiler for Your Team
Track Memory. Catch Leaks. Prevent RegressionsāBefore They Hit Production.
Are you tired of guessing why your .NET app is slowing down?
Sick of fighting memory leaks with bloated tools and half-baked diagnostics?
This eBook is your behind-the-scenes guide to building a real-world, developer-friendly memory profiler from scratch using .NET
, EventPipe
, and CI pipelinesādesigned to catch memory issues before they reach production.
š§ What Youāll Learn
- How to tap into .NETās EventPipe for real-time memory metricsāno admin rights needed
- How we used simple sampling, histograms, and stack traces to expose LINQ abuse, LOH spikes, async disposal issues, and more
- How to integrate memory profiling directly into your CI/CD (with real GitHub Action examples)
- Why even teams using dotMemory or PerfView still benefit from a custom profiler built for their codebase
š§ Why We Wrote This
In late 2023, our high-throughput analytics backend started suffering mysterious memory spikes. Kestrel stalled, GC paused at random, and no profiler told the full story. So we built our own tool: fast, focused, CLI-basedāand integrated it into every devās workflow.
Within a week, we found:
- 800KB ā 94KB request memory drop
- 65% reduction in GC time
- Memory regressions caught in every PR, not just post-mortem
This eBook walks you through every stepāfrom prototype to production impact.
š Whatās Inside
- š¦ Sample Code: EventPipe streaming, JSON output, CI integration
- š§Ŗ GitHub Actions + Python diff script to flag regressions in PRs
- ā Real-world wins: catching hidden leaks and optimizing hot paths
- š„ Designed for teams: wrapper scripts, automated comments, and dev-friendly ergonomics
šØāš» Who Itās For
- .NET developers & performance engineers
- Teams running high-throughput APIs or services
- Anyone sick of throwing heavy tools at subtle memory issues
š Bonus
Includes a ready-to-use CI template that plugs into any GitHub repo and starts tracking allocations per commit.
š Results You Can Expect
- 10x faster memory diagnostics
- Early detection of memory regressions
- Happier devs. Healthier services.
āYou donāt need graphs. You need answers. This profiler gave us bothāin plain JSON.ā
ā .NET Lead, Real Engineering Team
š Get the edge your .NET team needs.
Grab the eBook. Build the tool. Stop memory issues before they grow.
and youāll get: a battle-tested guide to building your own .NET memory profiler with CI integration, real code, and zero guesswork.