Redis Monitoring
Take control of your Redis environment, optimize performance, and ensure the reliability of your critical applications
Redis Database Monitoring
Command Execution Latency
Measures execution latency of Redis commands to detect blocking operations and long-running scripts.
Memory Fragmentation
Tracks memory usage patterns and fragmentation ratios affecting Redis performance under high load.
Eviction and Expiry Rates
Monitors key eviction frequency and TTL expiry behavior driven by Redis maxmemory policies.
Replication Synchronization
Observes master-replica synchronization status and partial resync behavior.
Persistence Operations
Tracks RDB snapshot duration and AOF rewrite activity impacting write throughput.
Client Connection Load
Monitors connected clients, blocked clients, and output buffer usage.
Error Log Visibility
Surfaces Redis logs related to persistence failures, memory exhaustion, and replication issues.
CPU Usage Patterns
Tracks Redis CPU utilization under single-threaded, high-throughput workloads.
Understand Redis Performance Through Real-Time, Infrastructure-Level Metrics
Track core Redis metrics such as memory usage, client connections, eviction counts, and fragmentation so you know how your cache layer is behaving and where bottlenecks appear.
Uncertain Memory Pressure and Usage Patterns
Without memory usage metrics, it is difficult to understand how much RAM Redis consumes relative to workload, making cache sizing and tuning guesswork.
Hidden Load From Client Connections
Large numbers of connected or blocked clients can strain Redis, and monitoring connection counts reveals when resource contention begins.
Evictions That Reduce Cache Effectiveness
Frequent key evictions weaken cache performance, and eviction metrics highlight when TTLs or cache capacity need adjustment.
Memory Fragmentation Masking True Performance
Memory fragmentation can inflate footprint and degrade response time, and tracking fragmentation ratio shows when inefficiency affects performance.
Clients Waiting on Commands
Blocked clients indicate slow or waiting operations, and tracking blocked client counts shows when request patterns are impeding throughput.
Why choose Atatus for Redis database monitoring?
Redis internal metrics coverage
Atatus tracks Redis command latency, memory allocation behavior, eviction activity, and persistence operations.
Single-thread performance clarity
CPU usage and event loop saturation are monitored to identify command-level bottlenecks.
Replication-aware monitoring
Master-replica synchronization progress and replication offset drift are continuously observed.
Memory pressure detection
Fragmentation ratios, RSS growth, and eviction frequency are monitored to detect cache pressure.
Persistence impact visibility
RDB snapshot execution and AOF rewrite cycles are tracked to correlate IO spikes with Redis behavior.
Client behavior analysis
Connected clients, blocked clients, and connection churn are monitored to assess access patterns.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
Ensure Continuous Database Monitoring Across all SQL and No-SQL Databases
Frequently Asked Questions
Find answers to common questions about our platform