AI-Powered Observability

Resolve incidents faster with intelligent triage

WHAWIT connects to your existing Datadog, New Relic, and CloudWatch setup. Our AI analyzes millions of log entries in seconds, surfaces root causes, and suggests fixes — so your team can ship instead of debug.

No credit card required · 5-minute setup · SOC 2 ready

WHAWIT
AI-Powered Analysis
app.whawit.ai
WHAWIT AI analysis dashboard with log triage and root cause insights

Integrations

Works with your existing
observability stack

Datadog logo
Datadog
New Relic logo
New Relic
AWS logo
AWS
Vercel logo
Vercel
Google Cloud logo
Google Cloud
Azure logo
Azure
Elastic logo
Elastic
Splunk logo
Splunk

Plus 15+ more providers including Sentry, Grafana, BetterStack, and custom integrations

How it works

Get up and running in minutes, not weeks. No migration, no agent installation.

Step 01

Connect

Link your existing monitoring tools with read-only access. Setup takes under 5 minutes.

Step 02

Analyze

Our AI processes millions of log entries instantly, detecting patterns and anomalies.

Step 03

Resolve

Get clear root cause analysis, suggested fixes, and automated ticket creation.

The Problem

On-call shouldn't feel like this

Your on-call engineers waste hours on noise, context switching, and bookkeeping instead of actually fixing things.

Alert Noise

Sifting through #operations channels

  • Single issue triggers dozens of alerts across Slack, PagerDuty, and email
  • Multiple simultaneous issues cause interspersed, unrelated alerts

WHAWIT deduplicates and correlates related alerts into a single incident with full context.

Tool Sprawl

Context switching between tools

  • Jumping between Honeycomb, Grafana, GoCD, CloudWatch, and your terminal
  • Manually piecing together logs, metrics, and deployment history

One unified view of logs, metrics, traces, and deployments. No more tab juggling.

Ticket Hell

Jira bookkeeping

  • Finding root cause tickets for recurring issues across projects
  • Writing JQL queries just to figure out if this happened before

Auto-creates Jira tickets with root cause and links to past incidents. Zero JQL required.

On-Call Hub

Centralized incident command

Stop context-switching between tools during outages. The On-Call Hub brings together alerts, logs, metrics, and AI analysis into a single view — so your on-call engineers can resolve incidents in minutes, not hours.

Smart Alert Routing

Reduces alert noise by 85%. Only get paged for real issues that need human attention.

Agentic Triage

AI investigates incidents interactively — ask questions, validate hypotheses, and get to root cause faster.

Natural-Language Summaries

Every incident gets a clear, plain-English summary so anyone on the team can understand what happened.

Event Timelines

Visualize the full incident lifecycle from first alert to resolution with correlated logs and metrics.

Escalation Management

Automated escalation paths ensure the right person is notified at the right time, every time.

Team Collaboration

Shared incident context and action items so your whole team can coordinate without playing detective.

On-Call Hub
Live
CriticalINC-4821

Database connection pool exhausted

Detected 4 min ago · us-east-1 · prod-api

Assigned to
SL
Sarah L.
Timeline
12:04:32Alert triggered — connection pool at 98%
12:04:35AI triage started — analyzing 2.4M log entries
12:04:41Root cause identified: leaked connections from auth-svc
12:04:42Fix suggested: restart auth-svc pods + connection limit
AI
Triage Summary

The auth-svc deployment at 11:58 introduced a connection leak in the OAuth flow. Each request opens a new DB connection without releasing it. Recommend rolling back to v2.4.1 and setting max pool connections to 50.

MCP Server

Ask your AI about production incidents

Use natural language to query incidents, run analysis, and get fix suggestions directly in Cursor, Kiro, or any MCP-compatible IDE. 8 powerful tools at your command.

Natural Language Query
You

"Do we have any errors on OMS in the last 24 hours with the orders?"

AI

Open Incident Detected

There's a HIGH severity incident for oms-core: Event processing pipeline queue is FULL...

Learn more about MCP Server

whawit_context_search

Search across your project context to find relevant logs, errors, and patterns.

whawit_devops_analysis

Run comprehensive DevOps analysis on your infrastructure and services.

whawit_project_info

Get detailed information about a specific project including status and config.

whawit_list_projects

List all available projects in your Whawit workspace.

whawit_get_analysis_full

Retrieve the complete analysis with all details, insights, and recommendations.

whawit_get_incident_full

Get full incident details including severity, timeline, and affected services.

whawit_generate_fix_prompt

Generate AI-powered fix suggestions based on the incident analysis.

whawit_codebase_analysis_prompt

Analyze your codebase for potential issues related to incidents.

Works with

CursorCursor
KiroKiro
VS CodeVS Code
WindsurfWindsurf
AntigravityAntigravity

Start resolving incidents faster

Keep your existing tools. Add an intelligence layer that cuts debugging time by 85% and gives your team instant, actionable answers.

No credit card required
SOC 2 ready
5-minute setup
WHAWIT

Intelligent observability platform that transforms system chaos into actionable insights. Enhance your existing monitoring tools with AI-powered automation.

WHAWIT is a trademark of US3 GROUP LLC

Company

Miami:
255 Giralda Ave Floor 5, Coral Gables, FL 33134
Buenos Aires:
Ing. Enrique Butty 275, C1001AFA CABA, Argentina
Bellevue:
800 Bellevue Way NE, Bellevue, WA 98004, USA

© 2026 WHAWIT is a trademark of US3 GROUP LLC. All rights reserved.