Words Manish Kumar
NEW DELHI (India CSR): Microservices has emerged as a technology that brings scalability, flexibility, and reliability. With the rise of digital transformation, the adoption of microservices architecture be comes significant. This technology allows for easier scaling, improved fault tolerance, and faster development cycles for organisations.
Over the years, Anupam Ojha, a seasoned professional, has been observing the evolution of microservices and actively contributing to it. His journey across leading organizations like GE Healthcare among others has demonstrated the scope of microservices when implemented with precision.
With his growing expertise in microservices and cloud platforms, he has contributed to several projects. At a multinational automobile manufacturer, he designed and enhanced enterprise-scale microservices for important initiatives such as the Observability Platform and the Transport Mobility Cloud. These projects solidified his position as an expert in scalable cloud solutions. At GE Healthcare, he led teams in building microservices which transformed hospital operations, an experience that was especially rewarding due to its direct impact on improving lives. From creating reusable libraries to scaling Kubernetes-based systems, his work has consistently driven innovation and efficiency.
These contributions have significantly improved both efficiency and cost savings. For instance, in the case of the automobile company’s Internal Developer Productivity (IDP) Platform, as a member of customer enablement or customer success, Solution Engineer—Anupam helped streamline various onboarding tasks which significantly reduced unnecessary churn and greatly reduced time to onboard.
He also successfully contributed to the development of a custom OpenTelemetry library for the organisation’s Spring Boot and non-Spring-based applications. This initiative standardized observability across all services, saving hundreds of developer hours. Teams no longer needed to implement custom instrumentation for every new service, which streamlined the entire process and improved overall system reliability.
The professional has also worked on this leading brand’s Transport Mobility Cloud project. He assisted in introducing a pod-based internal load-balancing strategy that reduced command cancellations by ~30 percent during MQTT broker node failures. This solution improved system reliability, directly enhancing user satisfaction. Additionally, by right-sizing compute resources for cloud-based applications, he helped realize substantial cost savings without compromising system performance.
Engaging in other projects, he designed scalable microservices for real-time ingestion of EMR/EHR data and streamlined operations for emergency, maternity, and ICU departments. Moreover, he built resilient Kafka-consuming services, reducing downtime and ensuring fault tolerance through intelligent container restart utilities.
Discussing the successes, it is worth mentioning that there have been challenges along the way. One of the most complex problems faced was during the Transport Mobility Cloud project, where MQTT broker node failures were causing widespread disruptions. The traditional load-balancing strategies just could not cut it, so Anupam used a pod-based system with his team that rewarded reliable nodes and penalized underperforming ones. Using this innovative solution, command cancellations were reduced and a new standard was set for handling broker node failures.
Similarly, at GE Healthcare, the diverse range of HL7 data types presented a huge challenge. Building a scalable microservices architecture capable of handling such complexity required creative problem-solving. Hence, a robust system was developed that ensured data integrity and timely delivery.
Anupam Ojha has also contributed to several internal blogs and documentation on Kubernetes scaling, Kafka optimization, and observability tooling. His resources have been helpful in empowering teams to adopt reliable and scalable cloud patterns.
Lastly, the future of microservices lies in abstraction and intelligent automation, where tools like KubeVela and Crossplane are just the beginning. Developers will soon be focusing more on business logic rather than the underlying infrastructure. Additionally, observability will evolve, with AI and machine learning enabling predictive analytics for system health. Hence, the professionals in this industry are suggested to focus on resilience as much as scalability as a well-designed microservices architecture can scale up and recover from failures.
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Manish Kumar is a news editor at India CSR.
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