Open Source JMeter Plugins
Production-tested extensions to supercharge load testing workflows.
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.
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.
Deep guides on performance analysis, percentiles, and reliability patterns at 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%") Explore open-source tools, request a mentorship session, or start an SLO/observability-focused reliability engagement.