AWS ElastiCache Redis Dashboard

This dashboard provides comprehensive monitoring of AWS ElastiCache Redis performance and resource utilization, offering detailed visibility into cache hits/misses, CPU usage, memory consumption, and network traffic for optimal cache performance monitoring.

What This Dashboard Monitors

This dashboard tracks essential AWS ElastiCache Redis metrics to help you:

• Performance Monitoring: Track CPU utilization, memory usage, and cache hit rates
• Capacity Planning: Monitor memory usage percentages and capacity utilization
• Network Analysis: Analyze network traffic patterns and bandwidth utilization
• Cache Efficiency: Track cache hit rates, evictions, and memory fragmentation
• Replication Health: Monitor replication lag and connection metrics
• Resource Optimization: Identify performance bottlenecks and optimize configurations

Metrics Included

CPU and Engine Performance

CPU Utilization

• Description: Host-level CPU utilization percentage for the ElastiCache node
• Use Case: Monitor overall system performance and identify CPU bottlenecks
• Grouping: By cache cluster ID for multi-cluster monitoring

Engine CPU Utilization

• Description: Redis engine-specific CPU utilization percentage
• Use Case: Track Redis process CPU consumption separate from system overhead
• Grouping: By cache cluster ID to compare engine performance across clusters

Memory Management

Database Memory Usage Percentage

• Description: Percentage of allocated memory currently used by Redis
• Use Case: Monitor memory consumption and plan for capacity needs
• Critical Thresholds: High values (>80%) may indicate need for scaling

Database Capacity Usage Percentage

• Description: Percentage of total available memory capacity in use
• Use Case: Track capacity utilization for scaling decisions
• Planning: Essential for understanding growth patterns

Memory Fragmentation Ratio

• Description: Ratio of memory allocated by Redis vs. memory used by the OS
• Use Case: Identify memory fragmentation issues that can impact performance
• Optimization: Values significantly above 1.0 may indicate fragmentation

Freeable Memory

• Description: Amount of memory available for allocation (in bytes)
• Use Case: Monitor available memory before hitting limits
• Unit: Displayed in decimal bytes for precise capacity tracking

Cache Performance

Cache Hit Rate

• Description: Number of successful cache lookups (cache hits)
• Use Case: Measure cache effectiveness and application performance
• Optimization: Higher hit rates indicate better cache utilization

Evictions

• Description: Number of items evicted from cache due to memory pressure
• Use Case: Monitor memory pressure and optimize cache policies
• Troubleshooting: High eviction rates may indicate insufficient memory

Network Activity

Network Bytes In

• Description: Number of bytes received by the ElastiCache node
• Use Case: Monitor inbound network traffic and bandwidth utilization
• Unit: Displayed in decimal bytes for traffic analysis

Network Bytes Out

• Description: Number of bytes sent from the ElastiCache node
• Use Case: Track outbound network traffic and response data volume
• Capacity Planning: Essential for understanding network requirements

Connection and System Metrics

Current Connections

• Description: Number of active client connections to the Redis instance
• Use Case: Monitor connection usage and identify connection leaks
• Capacity Planning: Track connection patterns for scaling decisions

Swap Usage

• Description: Amount of swap space used by the ElastiCache node
• Use Case: Identify memory pressure that forces swapping
• Performance Impact: High swap usage can significantly degrade performance

Replication Lag

• Description: Maximum lag time between master and replica nodes (in seconds)
• Use Case: Monitor replication health in Redis clusters
• Reliability: Essential for ensuring data consistency across replicas

Dashboard Variables

This dashboard includes filtering capabilities:

• cache_cluster_id: Filter metrics by specific ElastiCache cluster ID
  • Multi-select: Monitor multiple clusters simultaneously
  • All option: View aggregate metrics across all clusters
  • Dynamic: Automatically populates from available cluster IDs

Monitoring Best Practices

Performance Optimization

• Monitor Cache Hit Rate to ensure efficient cache utilization
• Track CPU Utilization metrics to identify processing bottlenecks
• Watch Memory Fragmentation Ratio for memory efficiency

Capacity Planning

• Use Database Memory Usage Percentage for scaling decisions
• Monitor Freeable Memory to prevent out-of-memory conditions
• Track Network Bytes for bandwidth planning

Troubleshooting

• High Evictions may indicate insufficient memory allocation
• Elevated Swap Usage suggests memory pressure
• Increased Replication Lag indicates replication issues

Alerting Recommendations

• CPU Utilization > 80% - Consider scaling or optimization
• Memory Usage > 85% - Plan for memory scaling
• Cache Hit Rate < 90% - Review cache strategy
• Replication Lag > 5 seconds - Investigate replication health

Related Dashboards

• AWS RDS
• Redis
• Key Operations