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observability

Observability covers logs, metrics, traces, alerting, and automated remediation—the signals teams use to understand production behavior under load. It matters because reliable diagnosis, anomaly detection, and fast recovery decide whether distributed systems stay usable when traffic spikes or failures spread.

3 articles

Why Observability Is Critical for Cloud-Native Systems
Industry News/May 15

Why Observability Is Critical for Cloud-Native Systems

Observability is the operating requirement for cloud-native systems, not a nice-to-have.

CLAD Detects Log Anomalies Without Decompression
Research/Apr 15

CLAD Detects Log Anomalies Without Decompression

CLAD finds log anomalies directly in compressed byte streams, cutting decompression and parsing overhead while hitting a 0.9909 average F1.

Designing Data-Intensive Apps for Scale and Reliability
Industry News/Apr 3

Designing Data-Intensive Apps for Scale and Reliability

Partitioning, consistency, and observability decide whether data-heavy systems stay fast under load or fall over when traffic spikes.