Open Source JMeter Plugins
Production-tested extensions to supercharge load testing workflows. Start with PerfSage Reveal.
AI tools for test insights, open-source JMeter plugins, and SRE-grade reliability thinking—so performance, availability, and observability work together in the real world.
Premium performance engineering, delivered like a modern dev-tool — fast, observable, and resilient.
Production-tested extensions to supercharge load testing workflows. Start with PerfSage Reveal.
Automatic interpretation of results with actionable anomaly signals.
SLO thinking, telemetry clarity, and reliability engineering you can trust.
Fault injection strategies that build real confidence in failure modes.
Field notes on performance, SLOs, and reliability at perfsage.com/blog — also on thinkbits.org.
1:1 support for performance engineering teams via Topmate.
Script SLO-aware analysis with PerfSage-style Python — from raw JTL to actionable report in seconds.
Start with test results, detect anomalies, and export a structured report you can plug into your performance engineering pipeline.
from perfsage import SLOReporter
reporter = SLOReporter(
slo_config="slo.properties",
anomaly_mode="fast-local"
)
report = reporter.analyze("results.jtl")
reporter.export_html("report/")
print(f"SLO compliance: report.slo_pct%") Field notes on performance, reliability, and SRE from the trenches.
Most teams' first chaos experiment is killing a random pod in prod with no baseline. Here are 3 safer, higher-signal fault injections to run first — in the order that actually builds confidence.
SignalPilot v1.0 is live — open-source Kubernetes RCA that correlates deploy diffs, events, metrics, logs, and git into ranked findings with kubectl fixes. Here's a real walkthrough and how it cuts post-deploy MTTR.
Post-deploy errors in Kubernetes used to cost me hours. Enterprise RCA tools cost a fortune. I'm building SignalPilot — open-source RCA that correlates deploy diffs, events, metrics, logs, and git into ranked findings with kubectl fixes.
Explore open-source tools, request a mentorship session, or start an SLO/observability-focused reliability engagement.