24/7 Redis support from senior engineers, no tier-1 triage
Redis
Kubernetes
PrometheusTerraformSession loss under memory pressure stopped entirely, and out-of-memory errors were eliminated once eviction had eligible candidates. The customer's team now reads memory metrics correctly and acts on …
Overview
A healthcare analytics provider ran a single Redis instance holding both cache entries and user session state. When memory pressure hit, the eviction policy removed keys without regard to which were disposable, so users were logged out mid-workflow. AceMQ took over Redis support with named senior engineers.
Challenge
Mixing cache and session data in one keyspace under a single eviction policy means every policy choice is wrong for one of the workloads. Compounding this, many cache keys carried no TTL at all, so a volatile eviction policy had nothing eligible to evict and the instance returned out-of-memory errors instead. Memory reporting was also being misread, with fragmentation mistaken for data growth.
Environment
Redis on Azure supporting session state and query result caching for a clinical analytics application.
Approach
AceMQ separated the workloads first, because no single eviction policy serves both, then corrected the TTL and policy configuration for each. Memory reporting was clarified so the operations team could distinguish data growth, fragmentation, and replication buffer usage.
Solution
- 1Separated session state and cache into distinct instances with policies appropriate to each workload
- 2Applied TTLs consistently across cache keys so volatile eviction policies have eligible candidates
- 3Set maxmemory and eviction policy per instance against measured working set rather than host memory
- 4Clarified memory reporting so fragmentation, data, and replication buffers are read correctly
- 5Identified and remediated the key patterns driving unbounded growth in the cache keyspace
- 6Established 24/7 escalation to senior Redis engineers with a 15-minute emergency response commitment
Outcome
Session loss under memory pressure stopped entirely, and out-of-memory errors were eliminated once eviction had eligible candidates. The customer's team now reads memory metrics correctly and acts on growth before it becomes an incident.
Technologies
RedisKubernetesPrometheusTerraformRelated Use Cases
Redis Latency Spike Remediation from Fork Stalls
Eliminating periodic multi-hundred-millisecond latency spikes traced to RDB snapshot fork stalls amplified by transparent huge pages.
Redis Persistence and Durability Assessment
Assessment of persistence configuration, replication topology, and failover behavior against the durability the workloads actually require.
Need Expert Redis Support?
AceMQ's senior Redis engineers have handled this exact type of engagement before. Whether you need architectural guidance, hands-on remediation, or an ongoing managed partnership, we're ready to help.