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Microservices can free up retail businesses to run smoothly in a fiercely competitive market where customers demand flawless shopping experiences, real-time order tracking, and quick checkouts. A stable and scalable technological stack is necessary to meet these needs, and microservices have become a crucial component in facilitating operational efficiency.
But then again, acting these services could be a problem with a number of persistent key issues remaining such as security, integration, and so on. In this context, Hareesh Kumar Rapolu has diligently spent years in assisting many large-scale projects in the organization as well as outside the organization, working on microservices architecture, cloud computing, and DevOps automation.
In an e-commerce project, he was involved in dismantling the monolith into separate microservices like Order Management, Payment Processing, Inventory, and User Authentication, providing an edge for the platform to support ever-higher uptimes with seamless shopping and order tracking. To reduce the risk of downtime, these microservices were deployed over AWS EKS with a deployment time reduced from hours to minutes. When seasonal traffic spikes created unpredictable demand, the system scaled without compromising performance.
Further, to ensure zero data loss and real-time order tracking, he used Kafka to build an event-driven order processing system.Another project involved building a real-time fraud detection system to discern dubious transactions for risk mitigation for a financial services industry. By identifying fraudulent transactions in milliseconds, he prevented millions of dollars in potential harm.
He also developed a healthcare-related cloud platform to support remote patient consultations and health data management, which reduced patient data processing time and improved healthcare service efficiency.
He had a few considerations while working on these projects. One of the larger challenges pertaining to retail operations typically is getting rapid response times for millions of transactions. With demand, however, database queries latencies resulted in slow order processing and ultimately longer checkout times. This was addressed by enabling HTTP/2 multiplexing for better scheduling of concurrent requests and gRPC high-performance RPC framework used in conjunction with Protocol Buffers serialization instead of REST communication that reduced the database query latency by 60% while managing over 10 million transactions daily during peak traffic.
Security, too, remains significant in retail transactions. It is complicated at least with cloud traditional architectures to store very sensitive data; thus Hareesh introduced end-to-end encryption using AES 256 and incorporated other secure authentication techniques to ensure transactions were safe. Of course, now even efficiency improvements entered the space of cost management: this cloud infrastructure of the retail platform, which was originally over-provisioned, thus incurred needless expenditure, and Hareesh reduced these cloud costs without harming performance by moving non-essential services to a serverless computing environment after studying trends on usage. In this way, the best resource allocation could be achieved because the highly-stressed areas remained responsive while performing non-essential activities cost-effectively.
He tells us about the trends nowadays that microservices have done wonders to software designs in terms of scalability, resilience, and independent deployments. An advantage in making impact on the system's resilience is converting from synchronous to an asynchronous, loosely coupled communication method such as RabbitMQ or Kafka.
He also lets us know that AI-assisted auto-scaling, self-healing microservices, and predictive workload management will minimize manual intervention in cloud resource allocation. AI-powered threat detection, anomaly detection, and automated incident response will become standard, enhancing the security posture of cloud-native applications. AI may play a larger role in self-healing infrastructures, intelligent CI/CD automation, and predictive incident resolution, which will reduce the need for manual input in deployment processes, saving valuable time for other creative pursuits.
Microservices will continue to be essential to increasing productivity, boosting customer satisfaction, and lowering operating expenses as retail organizations develop. The advantages of microservices will continue to be illustrated by the efforts of people such as Hareesh Kumar Rapolu, who shows how careful deployment could alter retail processes for sustained success.
