Shailendra Singh
Founder
11 published articles
Shailendra Singh is the founder and CEO of HyperProbe (YC S26), an AI on-call agent that debugs production incidents by capturing evidence directly from running services. He has over a decade of experience building and running production systems, starting at Applied Materials before moving into startup operating and engineering leadership roles, including at a company that later became a unicorn. He founded and ran Transporter.city from 2017 to 2021, then spent three years building HyperTest before founding HyperProbe with Karan Raina. He writes about production debugging and incident response.
Articles by Shailendra Singh
What is MTTR, and which version should your team track?
MTTR can mean repair, recovery, respond, or resolve. Learn what each version measures, how DORA redefined it, why the mean misleads, and which one your team should track.
Shailendra SinghOct 23, 20268 min read
Best debugging tools for production, by what each one can see
Compare logs, APM, tracing, error tracking, profiling, debuggers and dynamic instrumentation by what each sees and misses in a production failure.
Shailendra SinghOct 22, 2026
Runtime state and performance
How to Reduce Mean Time to Resolution on a Backend Service?
Learn how to reduce MTTR on a backend service by measuring diagnosis, avoiding information-only redeploys, and confirming root cause with evidence.
Shailendra SinghOct 21, 20268 min read
Production debugging and RCA
MCP servers for debugging production and what each gives an agent
Compare Claude Code MCP servers for production debugging, including Sentry, Datadog, PagerDuty, Honeycomb, Grafana, and debugger MCPs, plus their evidence gaps.
Shailendra SinghSep 20, 202610 min read
Production debugging and RCA
How to Capture a Variable That Was Never Logged
Learn how to capture variables in code when nothing was ever logged, from print statements and debuggers to production-safe dynamic instrumentation.
Shailendra SinghSep 16, 202610 min read
AI SRE and incident tooling
Best tools for root cause analysis of intermittent 500 errors
Compare root cause analysis tools for intermittent 500 errors, including APM, tracing, error monitoring, and AI SRE platforms. Find the right fit for your stack.
Shailendra SinghSep 16, 202610 min read
AI SRE and incident tooling
What is Dynamic Instrumentation?
Dynamic instrumentation explained in plain terms: how it works, how it differs from static instrumentation and eBPF, and why engineering teams use it to debug production without redeploying.
Shailendra SinghSep 14, 202610 min read
Production debugging and RCA
How to inspect a live production variable without adding a log line
Learn how dynamic instrumentation helps inspect live production variables without adding log lines, redeploying, or pausing traffic.
Shailendra SinghSep 9, 202610 min read
AI SRE and incident tooling
How an AI SRE differs from the APM you already run
AI SRE vs APM: learn what APM shows, where telemetry stops, and how AI on-call agents capture live evidence for faster production debugging.
Shailendra SinghSep 4, 20268 min read
AI SRE and incident tooling
What is an AI SRE
AI SRE explained: how it uses incident evidence to confirm root cause, reduce on-call investigation time, and work alongside observability tools.
Shailendra SinghSep 4, 20268 min read
AI SRE and incident tooling
Best AI SRE tools for 2026 (and how to actually evaluate them)
Compare the best AI SRE tools for 2026, including HyperProbe, Datadog, PagerDuty, Resolve AI, Cleric, Rootly, Komodor, Dynatrace, and New Relic.
Shailendra SinghSep 2, 202618 min read