Scope, cost and AI readiness, before any migration starts.
Applications mapped
Risk scored
Phased plan
Price fixed
GemFire
GemFire consulting from people who know the internals.
Configuration audits, architecture reviews, disaster recovery setup and load testing for VMware Tanzu GemFire.
- Fixed-price assessment first
- Every change engineer-signed
- AceMQ 24/7 after go-live
Modernization assessment
Fixed priceProjected after migration
RuntimeWebLogic 12cTomcat 10
LanguageJava 8Java 21
FrameworkEJB 3Spring Boot 3
DatabaseOraclePostgreSQL
The short answer
VMware Tanzu GemFire is a distributed, in-memory data grid for Java. It keeps data in regions across a cluster so applications read and write with very low latency. GemFire consulting covers configuration audits, architecture reviews, disaster recovery and load testing, from a team with deep product experience.
Stacks we work in
- GemFire
Java
VMware
Redis
Spring Boot
Kubernetes
PostgreSQL
Kafka
Docker
Terraform
Background
What GemFire is
Data lives in regions spread across a cluster of Java processes. Locators coordinate members, and clients connect directly to the members that hold the data they need. GemFire supports transactions, continuous queries and replication between data centers.
Its core was contributed to the Apache Software Foundation as Apache Geode. Tanzu GemFire is the commercial distribution with enterprise features and vendor support.
Use cases
What teams use it for
Each use case calls for different region types, eviction policies and persistence settings.
- A low-latency cache in front of relational databases.
- Session state for web applications.
- A system of record for high-throughput transactions.
- Real-time event handling that reacts to data changes.
Failure modes
Where GemFire deployments go wrong
- Partitioned and replicated regions chosen without looking at access patterns.
- JVM heap and garbage collection settings that cause long pauses.
- Eviction and expiration settings that drop data or exhaust memory.
- Disaster recovery and WAN replication never tested under failure.
- Capacity planned for average load, not peak.
How every engagement runs
AI drafts. Engineers decide.
Three phases, the same on every stack. Each one ends with something you can hold us to.
AI-assisted, engineer-verified, one capability at a time.
- import javax.persistence.Entity;+ import jakarta.persistence.Entity;- @Stateless+ @Service
AI draftEngineer approved
AceMQ engineers support the new stack from day one.
On call: the team that ran the migration
- Test before you touch
- AI drafts, engineers decide
- Strangle, don’t big-bang
- Every step is reversible
- Measure before and after
- Open targets, no new lock-in
- Fixed scope before fixed price
- Plan the run before the cutover
Services
What we do
Our team includes two of GemFire's original developers, and AceMQ works in the Tanzu stack every day.
Configuration audits
Region, partitioning, eviction and JVM settings reviewed against how your application reads and writes.
Architecture reviews
Topology, locators and client and server design assessed before production scale exposes gaps.
DR setup
Disaster recovery planned around your consistency requirements.
Load testing
Performance tests shaped to your real workload.
Modernization
GemFire in a modernization project
GemFire often sits behind legacy Java applications as the cache or session store. When those applications move to a newer runtime or to services, the data grid has to move with them: client libraries, serialization and region design all change. We review the grid early in the modernization assessment so it does not become the late surprise.
AceMQ supports GemFire in production once the new stack is live.
Support
Support after the review
A configuration audit is a point in time. Workloads change, regions grow and JVM behavior drifts. After the audit we can stay on as the support team, so the settings we recommend are checked against real production behavior.
GemFire expertise is rare, and losing the one person who understands the cluster is a common risk. Training and documentation are part of the handover, so the knowledge is not held by a single engineer.
Customers
Partners
Proof
Delivered by the AceMQ engineering team.
IBM MQ → RabbitMQ
Phased migration with legacy code refactoring
Legacy messaging replaced in phases while the applications calling it were refactored. No big-bang cutover.
American NationalDelivered by the AceMQ engineering team
1,000+ apps
Spring and Java applications upgraded in 24 hours
A deterministic Spring upgrade process, run through Broadcom’s commercial Spring support, in a single 24-hour window.
Global financial institutionDelivered by the AceMQ engineering team
IBM MQ out
Proprietary messaging displaced
IBM MQ displaced with an open-source messaging stack, supported by AceMQ.
DellDelivered by the AceMQ engineering team
After go-live
Keep it running after cutover.
Caching in front of slower databases, session state, high-throughput transactions and real-time event handling, all with low latency.
Geode is the open-source project. Tanzu GemFire is the commercial distribution with enterprise features and vendor support.
Both keep data in memory. GemFire is a distributed data grid with transactions, continuous queries and WAN replication. Which fits depends on the use case.
Configuration audits, architecture reviews, best-practice guidance, disaster recovery setup and load testing.
Yes. AceMQ provides 24/7 production support.
Start here
Know the cost before anything moves.
A fixed-price assessment gives you the inventory, the risk score and a phased plan. Scope and cost are fixed before the migration starts.
- InventoryEvery application, its stack and what it depends on.
- Risk scoreWhere a change is likely to break, ranked.
- Phased planWhat moves first, which tools lead, and the fixed price.
Get in touch
Talk to a modernization engineer
Tell us what you run today. An engineer, not a sales script, replies within one business day.