Anupam Ojha’s Guide to Building and Scaling Microservices for Large-Scale Enterprise Solutions
The adoption of microservices architecture has revolutionized how businesses approach large-scale systems, offering greater flexibility, scalability, and fault tolerance compared to traditional monolithic structures. Across industries such as automotive and healthcare, microservices have enabled organizations to respond swiftly to changing market demands and technological advancements. By breaking down applications into smaller, independently deployable services, companies can enhance system reliability and reduce downtime. However, building and maintaining microservices requires a careful balance of design principles, performance optimization, and stakeholder collaboration—tasks best handled by experts who can navigate the complexities of this evolving field.
With years of hands-on experience, Anupam Ojha has worked at the intersection of enterprise architecture and modern technology, playing a key role in implementing micro-services solutions for leading organizations like GE Healthcare. Reflecting on his journey, he notes, “Micro-services are not just a technical solution, they’re a mindset shift. It’s about creating systems that can scale while remaining adaptable to future requirements.” His expertise has been instrumental in executing large-scale projects that have redefined efficiency and reliability. One such initiative involved an Observability Platform, where he and his team developed a custom OpenTelemetry library that eliminated repetitive tasks and saved hundreds of developer hours annually.
The scope of Anupam’s work goes far beyond applying technical solutions. He is quite effective in strategizing, orienting, and integrating different teams for a significant impact on project results. One such instance happened when the Transport Mobility Cloud project with one of the biggest automotive giants faced an hourly failure with the MQTT broker, resulting in a down vehicle connectivity service. With a pod-based load-balancing solution, he and his team increased system reliability and minimized command cancellations to approximately 30%. He quotes, “It wasn’t only about fixing the immediate problem but it was about finding a solution that could help to prevent similar issues in the future.” With this, he could make the innovation that ensured operational stability and at the same time gave an overall better user experience.
Real-time data management from several sources within the hospital systems was the challenge he faced at GE Healthcare. Building a micro-services-based data pipeline for EMR and EHR was a tightrope walk between performance and data integrity. By democratizing the data across different hospital tiles using data aggregators (agg service), he was able to generate huge cost savings while ensuring uninterrupted critical healthcare services. He states, “In healthcare, even a minor disruption can have major consequences. The goal is always to maintain performance without compromising reliability.” His success in this field indicates his ability to collaborate with others and deliver solutions that directly ameliorate operational efficiency and patient care.
Throughout his career, he has continually looked for opportunities to assist in efficient working and enhance innovation. The technical insight of improving service resilience and minimizing downtime through Kafka-based data pipelines from his innovation is an adequate testimony. The other aspect to his credit is his contribution to the building of hospital management solutions at GE Healthcare, which has granted a real-time decision-making capability to medical staff, thereby expediting the overall responsiveness of the system and data accuracy. These acts affirm his ability to provide constructive solutions in very complex environments with high stakes.
One of the most notable aspects of his work has been his capacity to overcome intricate technical and organizational challenges. While working on the Transport Mobility Cloud project, conflicting priorities and the complexity of the existing infrastructure posed significant hurdles. By implementing a structured communication framework and fostering collaboration among diverse stakeholders, he facilitated faster decision-making and ensured alignment on key project goals. His efforts reduced project delays and refined governance processes, leading to an increase in onboarding efficiency. He points out, “Challenges aren’t just obstacles, they are opportunities to rethink how we approach problems.”
Anupam’s approach to knowledge sharing has also been a key factor in his success. By creating comprehensive documentation and internal blogs on Kubernetes, Kafka optimization, and observability best practices, he has contributed to building a shared repository of knowledge within his teams. These resources have proven invaluable for onboarding new members and maintaining consistency across projects. He believes that well-structured documentation is as crucial as the code itself, noting, “Good documentation isn’t just about recording what’s been done; it’s about empowering others to build on what’s been created.”
The future, according to him, will witness the arrival of many new ideas and better advances concerning micro-services, mainly in the fields of abstraction and automation. KubeVela and Crossplane are set to bring greater intuitiveness to infrastructure management by developers, whereas observability will shift toward becoming prediction-based; this will allow AI to play an important role in flagging what could become issues before such issues begin to surface. His only advice for people entering this field is: “Don’t just focus on scalability, think about resilience. Build systems that can gracefully recover from failure, and always automate the repetitive things.”
By combining technical knowledge with an understanding of organizations, Anupam has historically impacted a domain of micro-services. He has a way of creating scalable solutions while encouraging teamwork and imparting a lasting impact on actual projects. Mainly, with a futuristic approach and continuous learning spirit, he is more than inclined towards aiding the growth of micro-services architecture and creating resilient yet flexible systems.
