Apache ActiveMQ® and Artemis Enterprise Support
You know ActiveMQ.
You know what happens when it breaks at 2am in production.
Trusted by industry-leading enterprise companies around the world.
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P1 response SLA, contractually guaranteed
200+
Production ActiveMQ environments managed
99.9%
Uptime SLA, with automatic credits
0
Message-loss incidents across environments
The problems your team is already dealing with
These aren’t edge cases. Every platform architect, SRE, and middleware engineer running Apache ActiveMQ® or Artemis at scale has hit at least one of these.
Integration Architect · SRE
Broker network split-brain during traffic spikes
Your duplex connectors lose cohesion under load. Messages duplicate across regions. Reconciliation burns half a day. The misconfiguration is one line in activemq.xml, but only visible if you know where to look.
Platform Architect · DevOps
Silent DLQ growth nobody catches until it’s too late
Messages fail silently, accumulate in the DLQ, and no alert fires. By the time ops notices, the replay window is gone. In supply chain and banking, that means missed SLAs and manual reconciliation against downstream systems.
Principal Engineer · SRE
Journal bloat killing write throughput
Journal files grow unbounded under high-volume workloads. Compaction stalls because the lock file is held by a zombie process. Write latency climbs from milliseconds to seconds. Standard tuning guides don’t cover this failure mode.
DevOps · Security Engineer
Open JMX port exposing compliance risk
Default ActiveMQ configs expose JMX on port 1099 with no authentication. In cloud or containerized environments this is an unauthenticated remote management endpoint. One audit finding away from a compliance breach in banking or financial services.
DevOps · Platform Engineer
Kubernetes deployments dropping in-flight messages
Running ActiveMQ as a StatefulSet without proper PVC binding or pre-stop hooks causes pod rescheduling to reset in-flight messages. Helm chart defaults are not production-safe. Your Spring Boot consumers reconnect, but the messages are already gone.
Middleware Consultant · Architect
No expert support when community help runs out
Stack Overflow has a thread. The Apache JIRA has a ticket from 2019. Neither fixes your production issue at 11 pm. When the broker behavior is undocumented or version-specific, community support runs out, and your engineers are left guessing.
What enterprise support actually covers
Full support for Apache ActiveMQ® and Artemis, whichever you’re running, we know it inside out.
24/7/365 Incident response
Named engineers, not a rotating helpdesk. P1 acknowledged under 1 hour in your SLA contract. No business-hours restriction, no tier-routing delay.
Performance tuning
KahaDB journal compaction, JVM heap and GC tuning, network-of-brokers topology optimization, and throughput benchmarking under your actual production load profiles.
Proactive monitoring & alerting
Real-time monitoring of DLQ growth, connector health, queue depth, and journal anomalies, across your entire broker network. Most issues resolved before your own alerts fire.
Security hardening
JAAS/LDAP auth, SSL/TLS broker encryption, JMX lockdown, CVE patching, and compliance audit support critical for banking, financial services, and regulated industries.
HA & Kubernetes
Production-safe Helm charts, StatefulSet PVC config, pre-stop hooks, live-backup HA design, and multi-region broker topology for cloud-native deployments.
Named technical account manager
One engineer who knows your topology, queue naming, Camel routes, and peak windows. Picks up already knowing your environment, not starting from a blank ticket every time.
Why Middleware teams choose meshIQ over generic vendors
When your issue is a broker bug, an undocumented Camel component edge case, or a Jakarta Messaging API interaction, generalist support hits a wall. Our engineers don’t.
Apache contributors, not generalists
Our engineers contribute to ActiveMQ®, Artemis, and Apache Camel. When your issue needs upstream knowledge, a broker bug, undocumented config behavior, Jakarta Messaging edge case, we already know it. No JIRA filed and forgotten.
SLA with financial teeth
Miss a P1 response window? Automatic service credit against your next invoice in 5 business days. No support case, no negotiation, no escalation chain. Written into the contract, not a promise on a webpage.
Proactive monitoring, not reactive tickets
We monitor DLQ growth, connector health, journal anomalies, and queue depth spikes in real time. Most P1 incidents are resolved before your own monitoring fires, and before your Spring Boot consumers notice a thing.