#VirtualThreads aren’t just a #Java hype feature. This article shows them powering agent calls safely in production-style #Microservices—with fallback + observability.
Steal the blueprint by @sibaspadhi: https://javapro.io/2026/01/22/java-25-genai-a-new-era-for-microservices-in-finance/
SOA and microservices are related but distinct. SOA focuses on enterprise-wide service integration. Microservices focus on small, independently deployable units within a single application boundary.
In fintech distributed systems, microservices reduce single points of failure. A fault in one service—such as notifications—does not bring down payment processing or account management.
Microservices architecture decomposes an app into small, independently deployable services, each with its own process and API. In fintech, it replaces monolithic systems to enable independent scaling and fault isolation.
Our first #JCON2026 keynote is live: 'Java: 30 Years and Beyond' by Ana Maria Mihalceanu
#Java has stayed relevant by adapting to every shift in how we build and use software: from #monoliths to #microservices from #desktop to #web from on-prem to…
Grab your coffee and hit play: https://youtu.be/JOumBQjPNdM
TCC handles partial failures in distributed transactions. If any participant fails during the Try phase, the coordinator triggers Cancel on all participants that succeeded, ensuring no resources remain permanently reserved.
Most devs jump into microservices too early
Truth: most systems don’t need it at the start.
It adds complexity—network calls, harder debugging, data issues.
Start with a monolith. Scale when needed.
Right architecture > complex architecture.
https://jaswalaryan.space/article/microservices-architecture-guide-when-to-use
#Microservices #SoftwareArchitecture #SystemDesign #CloudComputing #DevOps #Docker #Kubernetes #APIDevelopment #TechLeadership #BackendDevelopment #Scalability #MonolithVsMicroservices #SoftwareEngineering #ProgrammingTips
Developers must explicitly design a compensating transaction for every saga step that can commit before the overall process fails. Microservices.io states no automatic rollback is available — each reversal is coded separately.
Choreography has no single point of failure because control is distributed. Each participant holds only its local logic and reacts to events. The overall workflow is an emergent result of all service interactions.
Participants in orchestrated sagas must be idempotent: executing the same command more than once must produce the same result. This is required because the orchestrator may retry commands after transient failures.
JAVAPRO
Kanishka Naik
JCON
Aryan Jaswal