Resources / Blog
Notes from the field on EDI and integration
Practical write-ups on EDI, managed file transfer, and B2B integration -- the kind of detail we'd give a client, not marketing copy.
October 3, 2026
Clustering Sterling B2B Integrator, Part 1: Why Cluster at All?
Reliability, availability, and scalability are three different properties with three different designs. Get the definitions straight before you build a Sterling B2B Integrator cluster.
Read moreOctober 3, 2026
Clustering Sterling B2B Integrator, Part 2: Anatomy of a Node
What runs inside each Sterling B2B Integrator node, how nodes find each other through JNDI, and how to pin RMI ports through a firewall without breaking the cluster.
Read moreOctober 3, 2026
Clustering Sterling B2B Integrator, Part 3: How a Cluster Decides Where Work Runs
There's no central dispatcher in a Sterling B2B Integrator cluster. Here's how load factors, multicast, and the distribution threshold actually move business processes between nodes.
Read moreOctober 3, 2026
Clustering Sterling B2B Integrator, Part 4: Pinning Work and Recovering from a Dead Node
How the Central Operations Controller's token works, when to pin a business process to a specific node or execution role, and what actually happens when a node dies mid-process.
Read moreOctober 3, 2026
Clustering Sterling B2B Integrator, Part 5: Adapters That Won't Cluster
Most cluster-doesn't-scale tickets trace back to one adapter pinned to one node. How to find them, and three ways to make non-clusterable adapters survive a node failure.
Read moreOctober 3, 2026
Clustering Sterling B2B Integrator, Part 6: Capacity Planning and Failover That Holds Up
How big to build a Sterling B2B Integrator cluster, vertical vs horizontal scaling, active/active vs active/passive failover, and a tested Windows Failover Cluster runbook.
Read moreOctober 2, 2026
Using the DBStats Report to Keep Your Sterling B2B Integrator Database in Check
A practical walkthrough of IBM Sterling B2B Integrator's DBStats report -- how to spot old workflows, runaway persistence, and database bloat before they become a 2am problem.
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