For SRE, platform, and engineering teams
Cut incident response time.
Without replacing your stack.
WHAWIT reduces alert noise, cuts debugging drag, and helps engineering teams get to root cause faster without replacing Datadog, New Relic, CloudWatch, or the rest of their stack.
Use your real workflow · No rip-and-replace · Read-only access

Economic Impact
The hidden cost of production chaos
Production incidents do not just slow engineers down. They create operational drag, burn budget, and turn routine response into an expensive debugging exercise.
Alert noise buries real incidents
Teams lose time sorting duplicate notifications and low-signal noise before real response even starts.
Engineers waste hours debugging
Responders bounce between tools, dashboards, and raw logs while the incident clock keeps running.
Slow response becomes business risk
Longer MTTR means customer impact, revenue pressure, and more fatigue for already stretched on-call teams.
Log costs keep growing anyway
Storing and searching more telemetry increases spend, but it does not guarantee faster answers when production breaks.
Works with the tools your team already depends on


Plus 15+ more including Sentry, Grafana, BetterStack, and custom integrations. No rip-and-replace required to evaluate WHAWIT.
Built by someone who has lived through production chaos
WHAWIT is led by Jose Escrich, who has spent more than 25 years building and operating enterprise systems where downtime, noise, and slow incident response carry real cost.
Founder-led pilots help teams validate WHAWIT on real incidents before a broader rollout, with direct conversations around operational fit, architecture, and security expectations.
- 25+ years building and operating enterprise systems
- Founder-led pilot onboarding and workflow review
- Security and architecture conversations early in evaluation
Reference conversations, deployment guidance, and security review materials are available during the pilot process.
Outcomes
Measurable relief for production teams
WHAWIT is designed to reduce the operational drag behind incidents: less noise, faster triage, and a shorter path to useful answers.
Product capability
The workflow behind
lower incident drag
WHAWIT is built to reduce noise, surface useful context sooner, and help teams move from alert to action without wasting hours in logs.
Cut responder drag from the first minute
WHAWIT watches incoming signals, deduplicates alert noise, and correlates related activity into one incident so responders start with context instead of chaos.

How it works
How teams cut incident drag
WHAWIT layers onto the tools you already run so teams can reduce noise, shorten investigation time, and reach resolution faster.
Connect
Connect your existing monitoring and observability tools with read-only access. No rip-and-replace project, no agent migration.
Reduce noise
WHAWIT watches signals continuously, deduplicates alert noise, and correlates related activity so responders work from a single incident view.
Resolve faster
Responders get root cause clues, guided investigation, and suggested next steps so the path from alert to resolution is shorter and less chaotic.
Developer Experience
Keep engineers in flow during incidents
When response moves into the editor, engineers spend less time context-switching and more time resolving the issue.





Security & Compliance
Enterprise reassurance built into evaluation
Your data stays yours. WHAWIT is built so security, privacy, and deployment questions can be addressed early in the buying process.
SOC 2 Ready
Enterprise-grade security controls and compliance standards built into every layer.
Encrypted at Rest & Transit
AES-256 encryption for all data. TLS 1.3 for every connection. Your logs are never used to train AI models.
Read-Only Access
WHAWIT connects to your providers with read-only API keys. We never modify your infrastructure.
Dedicated Instances
Enterprise customers get isolated infrastructure with dedicated databases and custom domains.
Security review materials, architecture walkthroughs, and pilot scoping support are available during enterprise evaluation.
Run WHAWIT against your real incident workflow
See how WHAWIT would triage alert noise, surface likely root causes, and reduce debugging drag using your real stack and incident patterns before a broader rollout.
Use your real workflow. No rip-and-replace required.

