Realtime data observability
Fewer issues. Higher security. Improved productivity.
Most production problems in modern stacks are caused by data related issues.
But, the vast majority of these issues are never actually detected by monitoring systems.
Schema, variable type, precision mismatches and other data layer changes can break dependent services
Null values, old data, distribution errors remain undetected until business metrics suffer.
Security & Privacy:
Unintended transmission of sensitive data to vendors or logging to files creates risk over time.
Built by industry veterans from:
LAYER 9 SaaS
Troubleshooting is hard, particularly for data issues
The majority of production issues are related to data changes. From schema changes to type mismatches and data corruption, data issues go undetected until they start to affect business metrics
Data can be mishandled, increasing your risks
From inadvertent PII logging to sharing sensitive data with hundreds of third party app vendors, it is tough to track what is happening with your sensitive data in motion.
Wasted effort from many people responding to related errors, alerts
In loosely coupled microservice environments, errors can cause cascading failures across many services, creating a response that is spread across multiple team members and frequently duplicative.
Service ownership confusion, weak accountability
With large, globally distributed teams, simply knowing who owns a particular service is often a challenge. Setting and measuring appropriate performance targets and SLOs is even more burdensome.