Redis Logs Monitoring & Observability

Effortlessly track Redis logs, gaining instant insights into errors and refining logging for a more efficient and reliable application.

Monitor Redis logs and operational events in production environments

Collect Redis server logs

Ingest Redis server log output including startup messages, warnings, and runtime errors generated by standalone and clustered Redis instances.

Track persistence and snapshot events

Analyze Redis log entries related to RDB snapshots and AOF rewrites to understand persistence behavior and disk I/O impact.

Monitor replication and failover

Capture Redis replication logs to detect replica synchronization issues, role changes, and failover events in high-availability setups.

Detect memory pressure signals

Surface Redis log warnings related to maxmemory limits, eviction policies, and out-of-memory conditions before service degradation.

Observe key eviction and expiration

Inspect Redis log messages that indicate key eviction, expired keys processing, and cache behavior under load.

Analyze client connection issues

Identify Redis client connection errors, authentication failures, and timeout-related log entries affecting application access.

Correlate logs with runtime metrics

Link Redis log events with metrics such as memory usage, command throughput, and latency to investigate performance anomalies.

Support clustered Redis deployments

Aggregate logs from Redis Cluster nodes and sentinel-managed environments into a centralized operational view.

Core Platform Capabilities

Unlock Actionable Insights From Redis Log Streams

Ingest Redis logs into Atatus so you can parse key fields, search efficiently, and explore log events with clear operational context without chasing files on hosts.

Real-Time Log IngestionStructured ParsingSearch & FiltersSaved ViewsCorrelated Metrics

Logs Scattered Across Hosts

Redis logs written to local files or syslog are difficult to analyze across instances, and central ingestion makes cluster-wide patterns easier to explore.

Raw Log Text Is Hard to Query

Unstructured Redis log messages mix timestamps, commands, and warnings, and parsing them into fields enables fast and precise searching.

High Volume Buries Useful Entries

Continuous Redis log output can overwhelm manual inspection, and filtered search with structured fields highlights the events that matter most.

Context Is Lost Without Correlation

Logs alone do not show how Redis activity relates to system behavior, and viewing logs alongside related signals provides deeper operational context.

Repeated Queries or Slow Logs Go Unnoticed

Without searchable structure, patterns like slow log entries or frequent command usage are easy to miss, and centralized parsing makes these trends visible.

Unified Logs Monitoring & Observability Across Different Platforms

Frequently Asked Questions

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