LLVM instrumentation
Build visibility into the binary—not a bulky production agent.
TraceFlow instruments execution paths at compile time so the evidence survives the environment where rare failures actually happen.
TraceFlow engine / C++ distributed systems
Zero overhead.
Full visibility.
Every execution.
TraceForge gives C/C++ backend teams the execution evidence conventional profilers miss—latency spikes, memory decay, and thread interleavings captured without changing the workload.
◎ LLVM native◎ Source mapped◎ Replay ready
traceflow / live analysis
Latency p99
1.3
ms+18%
Memory pressure
24.8
%allocation
Anomalies
07
last 15m
Anomaly / 07
Contention isolated in order matcher
48ms p99 increase after allocator pressure crossed threshold.
01 scheduler::dispatch 0.18ms
02 matcher::lock_wait 47.61ms
03 allocator::retire 0.43ms
source / matching_engine.cc:412
capture / production replicatrace id 7A4F.9C21
<1%
target execution overhead
instrumented hot paths
2.4M
events per investigation
source-mapped sequence
01
failed release prevented
before merge, not after
Engine architecture / 01—04
Four controls for the failures that disappear under observation.
TraceFlow combines compile-time capture with a focused investigation environment. Each control keeps the path from anomaly to evidence short.
Trace explorer
Move from an outlier to the line of code that created it.
Follow latency, allocation lifecycle, cache behavior, and thread handoffs across a dense, source-mapped execution trace.
Deterministic replay
Bring transient production behavior back to your workstation.
Capture the interleaving around an anomaly, replay the same order locally, and inspect without the pressure of a live incident.
ABI + CI guardrails
Block performance drift before it becomes a release risk.
Static ABI checks and pull-request regression gates flag binary instability, leaks, and critical latency movement before merge.
Investigation workflow
From production anomaly to reproducible proof.
TraceFlow keeps the entire incident chain visible: capture, isolate, replay, and prevent the next regression.
01
Capture
LLVM instrumentation collects the evidence without bringing a full profiler into the hot path.
02
Isolate
The trace explorer connects p99 movement, memory pressure, and thread state to source locations.
03
Replay
A deterministic workspace reorders the exact interleaving that created the incident.
04
Guard
Pull-request checks stop ABI shifts and performance regressions from crossing release boundaries.
Pilot program / scoped for impact
Stop arguing about a graph. Bring the execution record.
Start TraceFlow on the service where an intermittent failure is costing senior engineering time, release confidence, or customer trust.
FAQ / operating model
Built for systems teams with no time for vague answers.
Who is TraceFlow Engine designed for?
Infrastructure teams operating latency-sensitive C and C++ services: trading systems, database engines, game servers, and high-throughput distributed backends.
Does TraceFlow replace every profiler?
No. It is purpose-built for the failures conventional profiling misses or distorts: timing-sensitive latency spikes, memory degradation, concurrency faults, and ABI instability.
What happens in a pilot?
We scope one critical service, validate the instrumentation path against your build system, and prioritize an investigation or release-control workflow that matters to your team.