@whawit
Chaos to clarity—prod issues fixed in seconds
Listed in categories:
AnalyticsArtificial IntelligenceDeveloper Tools
Description
WHAWIT is an intelligent observability platform that automates root cause analysis and incident response, transforming raw log data into actionable insights. With its advanced AI capabilities, WHAWIT processes millions of log entries in real-time, detecting patterns, anomalies, and root causes with 99.9% accuracy. The platform integrates seamlessly with popular tools like GitHub, Datadog, New Relic, and JIRA, enabling teams to resolve incidents faster and more efficiently.
How to use @whawit?
To use WHAWIT, connect your log sources such as GitHub, Datadog, or AWS CloudWatch. The platform will analyze your log patterns in real-time, building intelligent baselines and detecting anomalies. You will receive actionable insights and automated alerts to streamline your incident response process.
Core features of @whawit:
1️⃣
Non-Deterministic Log Analysis
2️⃣
Automated Ticket Creation
3️⃣
Real-Time Anomaly Detection
4️⃣
Seamless Integrations with Popular Tools
5️⃣
Collaborative Incident Workflows
Why could be used @whawit?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Reducing incident response time by up to 85% | ✅ | |
| # 2 | Automating root cause analysis for faster issue resolution | ✅ | |
| # 3 | Enhancing monitoring and analytics for development teams | ✅ | |
Who developed @whawit?
WHAWIT is developed by Lakey Valley LLC, a company focused on providing advanced observability solutions for engineering teams. Their mission is to transform chaos into actionable intelligence, helping organizations improve their incident response and operational efficiency.