Back to all case studiesCLIENT SUCCESS STORY
Integration with DTCC via IBM MQ Native HA on AWS ROSA
Capital Markets | Brokerage-as-a-Service
Client
Leading Brokerage-as-a-Service platform (name withheld per client agreement)
Industry
Capital Markets & Fintech
Engagement
DTCC integration via IBM MQ Native HA
$1.2M
Saved Annually
Zero
Split-Brain Risk
3-Node
Quorum HA
24/7
Market-Hour Uptime
The Challenge
- Core transactional backbone for dozens of fintech applications and retail brokerages
- Interfacing with DTCC demands absolute reliability — message dropouts or duplicates carry massive financial penalties
- Extended downtime during market hours risks broken settlement cycles and loss of institutional trust
- Legacy messaging infrastructure could not guarantee the resiliency required for regulated transaction processing
- Need to satisfy strict SEC and FINRA auditing requirements for transaction resiliency
The Solution
- Deployed IBM MQ Advanced using the native Kubernetes operator on AWS ROSA
- Leveraged built-in Native HA capability with a 3-node quorum setup
- Executed deployment through GitOps practices via Red Hat OpenShift pipelines
- Enabled seamless end-to-end message tracking with hardware-level replication
- Shifted the DevOps team from routine infrastructure maintenance to feature velocity
The Results
- Zero Split-Brain Risk: 3-node quorum strictly eliminates split-brain data corruption during an AZ outage
- Frictionless Regulatory Audits: end-to-end message tracking satisfied SEC and FINRA auditing requirements
- Saved $1.2 Million annually in operational overhead
- Infrastructure Modernization: managed container environment (ROSA) let engineers focus on feature velocity
- Uninterrupted transaction resiliency across market hours with no settlement-cycle breaks
“The 3-node quorum on ROSA gave us absolute confidence in transaction resiliency — and our regulators noticed.”
— Head of Platform Engineering, Client Organization
Technologies & Capabilities
IBM MQ AdvancedAWS ROSANative HAKubernetes OperatorGitOpsRed Hat OpenShift PipelinesDTCC Integration
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