Achieve business goals with full application observability

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FAQs

1. What is the difference between monitoring and observability?

Monitoring tells you when something is wrong (e.g., "Server is down"), while Observability helps you understand why it went wrong (e.g., "Server crashed because of a memory leak in the payment service caused by the new deployment"). Observability uses data (MELT) to answer unknown questions about your system.

The three traditional pillars are Metrics (numeric data measuring health), Logs (records of discrete events), and Traces (data tracking a request's path). Site24x7 also emphasizes Events as a critical fourth component.

Modern apps are distributed and complex (microservices, cloud, containers). Full-stack observability connects the dots between a user click on the frontend, backend code execution, and underlying infrastructure, ensuring no blind spots exist.

Site24x7 collects detailed metrics, logs, and traces from a single agent ecosystem. It correlates this data automatically, so when you see a transaction spike, you can immediately view the associated logs and server metrics in one dashboard.

With data volumes exploding, humans cannot analyze everything. AI (like Site24x7's Zia) automatically detects anomalies in real-time, forecasts resource usage, and helps identify root causes by correlating seemingly unrelated events.

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