Debug Production
in Minutes, Not Hours.

When something breaks in production, there are two options. Reproduce it locally - which rarely works. Or add log lines, redeploy, wait 45 minutes. Both can take hours to days.

Hyperprobe places a live breakpoint on your running service. The next real request captures the exact variable state, DB condition, and call stack — no redeploy, root cause in 9 minutes.

Book a Demo

Java · Scala · Kotlin · Node.js · Python | VS Code | Free to Start

— THE PROBLEM

You know the exception.
You don't know what caused it.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.
It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.

It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

The real cost isn't the incident.
It's the context switch.

3-4h

Senior engineer time lost per production incident - mostly waiting on redeployments and hoping the failure repeats

45m

Senior engineer time lost per production incident - mostly waiting on redeployments and hoping the failure repeats

10m

Senior engineer time lost per production incident - mostly waiting on redeployments and hoping the failure repeats

— THE SOLUTION

Live production debugger.
Up and running in three steps.

Set up the agent once. Set a breakpoint from your IDE when an incident fires.
Get the exact execution state — no redeploy, no restart, zero traffic impact.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.

It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

— THE NUMBERS

Same incident. Same engineer. Same logs.
One breakpoint changes everything.

Same incident. Same engineer. Same logs. One breakpoint changes everything.

Same incident. Same engineer. Same logs.
One breakpoint changes everything.

Here is exactly where the time goes — and where it disappears with Hyperprobe.

What the engineer needs

Where did it break?

Which users are affected?

What did the database return?

Why did the database fail?

What damage to users?

Total Time

Total

Time

LOGS + APM

5 min

25 min — tier not in logs, needs separate DB query

60 min — redeploy needed, not logged

60 min — pool state invisible to logs

90 min — silent null→zero only visible after multiple deploys

3–4 hours

With HyperProbe

With
Hyperprobe

5 min

Instant — user.tier = 'free', 89% of failures

Instant — balance = null, timed out after 3000ms

Instant — pool 5/5 full, 12 requests queued

Instant — null treated as zero, user saw wrong error

9 minutes

— AI DIAGNOSIS

Snapshot captured.
Root cause in the same thread.

The AI reads the snapshot, cross-references your codebase, and delivers root cause, blast radius, and fix — all in one conversation.

— SECURITY & COMPLIANCE

Your three hard requirements. Met.

Clients Stories

See What Our Clients Are Saying

Learn how our solutions have empowered our clients to debug in minutes!

"Sync issues used to take us days to reproduce locally. Hyperprobe caught the silent data mismatch in production on the first attempt."

Aishwarya Maurya

Tech Lead@CheQ Digital

"During peak traffic, our listing service was black-boxing failures. Hyperprobe let us inspect the live memory state during the spike. We fixed the race condition in the same hour."

Bhagwan Bansal

SDE @Housing.com

— FAQs

Questions engineers actually ask.

We already have Datadog. Why do we need this?

Datadog tells you something broke. Hyperprobe tells you why. There's a gap between those two things — it's where your engineers spend 3–4 hours per incident. Hyperprobe fills that gap without replacing Datadog. The sale typically comes out of your existing observability budget.

We do extensive logging. Isn't this redundant?

Is there a security risk with an in-process agent?

What does setup actually look like — and how long does it take?

Does this work without the AI layer?

What languages and tools are supported?

Still have a question in mind?

Get started

Still have a question in mind?

Book a Demo

Your next production incident is coming.
Will your team have
9 minutes or 4 hours?

Early access is free. We onboard you personally. First breakpoint on your live service, same day. Setup takes under 30 minutes.

Talk to Founder

Debug Production in Minutes, Not Hours.

Debug Production in Minutes, Not Hours.

Debug Production in Minutes, Not Hours.

Debug Production in Minutes, Not Hours.

When something breaks in production, there are two options. Reproduce it locally - which rarely works. Or add log lines, redeploy, wait 45 minutes. Both can take hours to days.

When something breaks in production, there are two options. Reproduce it locally - which rarely works. Or add log lines, redeploy, wait 45 minutes. Both can take hours to days.

When something breaks in production, there are two options. Reproduce it locally - which rarely works. Or add log lines, redeploy, wait 45 minutes. Both can take hours to days.

When something breaks in production, there are two options. Reproduce it locally - which rarely works. Or add log lines, redeploy, wait 45 minutes. Both can take hours to days.

Hyperprobe places a live breakpoint on your running service. The next real request captures the exact variable state, DB condition, and call stack — no redeploy, root cause in 9 minutes.

Hyperprobe places a live breakpoint on your running service. The next real request captures the exact variable state, DB condition, and call stack — no redeploy, root cause in 9 minutes.

Hyperprobe places a live breakpoint on your running service. The next real request captures the exact variable state, DB condition, and call stack — no redeploy, root cause in 9 minutes.

Java · Scala · Kotlin · Node.js · Python | VS Code | Free to Start

Java · Scala · Kotlin · Node.js · Python | VS Code | Free to Start

Java · Scala · Kotlin · Node.js · Python | VS Code | Free to Start

Java · Scala · Kotlin · Node.js · Python | VS Code | Free to Start

— THE PROBLEM

— THE PROBLEM

You know the exception. You don't know what caused it.

You know the exception. You don't know what caused it.

You know the exception. You don't know what caused it.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

The real cost isn't the incident. It's the context switch.

3-4h

Senior engineer time lost per production incident - mostly waiting on redeployments and hoping the failure repeats

45m

Senior engineer time lost per production incident - mostly waiting on redeployments and hoping the failure repeats

10m

Senior engineer time lost per production incident - mostly waiting on redeployments and hoping the failure repeats

— THE SOLUTION

— THE SOLUTION

Live production debugger. Up and running in three steps.

Live production debugger. Up and running in three steps.

Live production debugger. Up and running in three steps.

Set up the agent once. Set a breakpoint from your IDE when an incident fires. Get the exact execution state — no redeploy, no restart, zero traffic impact.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

— THE NUMBERS

— THE NUMBERS

Same incident. Same engineer. Same logs.One breakpoint changes everything.

Same incident. Same engineer. Same logs. One breakpoint changes everything.

Same incident. Same engineer. Same logs.One breakpoint changes everything.

Same incident. Same engineer. Same logs.One breakpoint changes everything.

Here is exactly where the time goes — and where it disappears with Hyperprobe.

Here is exactly where the time goes — and where it disappears with Hyperprobe.

— AI DIAGNOSIS

— AI DIAGNOSIS

Snapshot captured.Root cause in the same thread.

Snapshot captured.Root cause in the same thread.

Snapshot captured.Root cause in the same thread.

The AI reads the snapshot, cross-references your codebase, and delivers root cause, blast radius, and fix — all in one conversation.

The AI reads the snapshot, cross-references your codebase, and delivers root cause, blast radius, and fix — all in one conversation.

— SECURITY & COMPLIANCE

— SECURITY & COMPLIANCE

Your three hard requirements. Met.

Your three hard requirements. Met.

Your three hard requirements. Met.

See What Our Clients Are Saying

See What Our Clients Are Saying

See What Our Clients Are Saying

— FAQs

Questions engineers actually ask.

Questions engineers actually ask.

Your next production incident is coming. Will your team have 9 minutes or 4 hours?

Your next production incident is coming. Will your team have 9 minutes or 4 hours?

Your next production incident is coming. Will your team have 9 minutes or 4 hours?

Early access is free. We onboard you personally. First breakpoint on your live service, same day. Setup takes under 30 minutes.

Early access is free. We onboard you personally. First breakpoint on your live service, same day. Setup takes under 30 minutes.

Early access is free. We onboard you personally. First breakpoint on your live service, same day. Setup takes under 30 minutes.

Java · Scala · Kotlin · Node.js · Python | VS Code | Early Access — Free to Start

Java · Scala · Kotlin · Node.js · Python | VS Code | Early Access — Free to Start

Java · Scala · Kotlin · Node.js · Python | VS Code | Early Access — Free to Start

Debug Production
in Minutes, Not Hours.

Debug Production
in Minutes, Not Hours.

Debug Production
in Minutes, Not Hours.

Debug Production
in Minutes, Not Hours.

You know the exception.
You don't know what caused it.

You know the exception.
You don't know what caused it.

You know the exception.
You don't know what caused it.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.
It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.

It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.

It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

The real cost isn't the incident.
It's the context switch.

Live production debugger.
Up and running in three steps.

Live production debugger.
Up and running in three steps.

Live production debugger.
Up and running in three steps.

Set up the agent once. Set a breakpoint from your IDE when an incident fires.
Get the exact execution state — no redeploy, no restart, zero traffic impact.

Your service knew exactly what happened. The variable values, the DB state, which users hit the bad path — all of it was there.

It just wasn't in your logs, and by the time you realised that, you were already two redeployments in.

Same incident. Same engineer. Same logs.
One breakpoint changes everything.

Same incident. Same engineer. Same logs.
One breakpoint changes everything.

Same incident. Same engineer. Same logs.
One breakpoint changes everything.

Snapshot captured.
Root cause in the same thread.

Snapshot captured.
Root cause in the same thread.

Snapshot captured.
Root cause in the same thread.

Your next production incident is coming.
Will your team have
9 minutes or 4 hours?

Your next production incident is coming.
Will your team have
9 minutes or 4 hours?

Your next production incident is coming.
Will your team have
9 minutes or 4 hours?