Overview
GemFire deployments tend to accumulate design decisions that were correct at the original scale and stop being correct later: region types chosen before the access pattern was known, WAN topology added for one site, heap settings inherited from a template.
Challenge
These decisions are expensive to revisit under load, and the symptoms usually appear as latency or garbage collection pauses rather than as anything that points at the underlying design.
Environment
Applicable to any GemFire deployment, on-premises or containerized, including estates entitled through a VMware Tanzu subscription.
Approach
AceMQ engineers review region and data model design against the real access pattern, WAN and replication topology, JVM and garbage collection configuration, and security hardening. The assessment validates each design decision against the latency and throughput the workload actually requires.
Solution
- Region type and data model review against real access patterns
- WAN and replication topology assessment
- JVM and garbage collection tuning review
- Security hardening and access control review
- Latency and throughput validation against workload requirements
- Risk-prioritized remediation roadmap
Outcome
Teams get a clear view of which GemFire design decisions will hold at their next scale and which will not, with specific remediation rather than a general recommendation to tune.
Technologies
GemFire
Java
Spring
Linux
OpenTelemetry
Kubernetes
Python
