Background In the first part we established the foundational principle that separates systems which survive scale from systems that collapse under it - design for access patterns, not for entities. In this second part we double click on the database design of the User Profile system and try to understand its impact …

Background Architecture decisions rarely break at design time. They break a year later, under double the load, when an unwritten assumption proves false. I’ve seen this play out in synchronous coupling, storage models, and service splits - while architecting and designing FinTech platforms. That’s why I now run every …

Background This multi part series walks through the real architectural decisions and real mistakes behind designing a globally distributed KYC User Profile system - a system that should be capable of serving billions of users at 10M+ RPD with sub-500 ms P99 latency. It's mainly about weighing trade-offs and making …

Background In the previous article, we explored resiliency and fault tolerance as critical enablers of high‑volume inter‑cloud data transfer. Yet even the most resilient system cannot succeed without deep visibility into its live operations. This final part of the series focuses on observability Observability - A …

Background Parts 1 and 2 established the what and the how fast — a stateless, chunk-driven pipeline with deterministic block IDs, reactive backpressure, and an adaptive concurrency controller functions under real cloud conditions. But speed and elegant architecture count for nothing if application crash at chunk 73 of …

Background In Part 1 we established RICS's foundational architecture — a stateless, chunk-driven pipeline with a hard separation between the data plane and the metadata-driven control plane. That foundation deliberately deferred one critical question: Once the architecture is right, how do you make it fast? Part 2 …

Background Imagine you need to move terabytes or petabytes of large files from AWS S3 to Azure Blob Storage, and that too with Reliability & High Throughput The naïve approach (download the whole file, upload whole file) collapses under real‑world realities: Network glitches Process crashes Cloud throttling …

Background As software engineers we spend so much of our time building these beautiful, complex data pipelines. We design them to move mountains of information... but let's be honest, we often cross our fingers and hope they don't break. And when they do? A pipeline that fails without making a peep - especially in a …

Background My previous article focussed on comparing solutions for performing parallel execution using Spring Core Reactor and JDK 21. This article will follow my previous article where I will provide comparative analysis of Virtual Threads based execution for Spring Core Reactor and JDK 21 based implementation. …

Background If you've ever had to implement business logic that involves concurrent execution along with heavy IO operations, you'll know it can be challenging! Recently, I had a chance to tackle such a use case and made some interesting discoveries about parallel execution in the Java ecosystem. I'll keep this concise …