Accomplished technology leader with 15+ years of experience in software engineering, cloud solutions, data-driven products, and AI/ML product development. Expertise in architecting scalable platforms, leading Agile teams, and delivering high-impact software solutions. Proven ability to drive collaboration, meet project timelines, and deliver quality results.
When building scalable systems, the first step is understanding how to scale up and scale out your architecture. Whether you’re building a microservices-based application or scaling a monolithic system, achieving scalability starts with a strong Read more…
In today’s digital world, building a scalable architecture is a crucial requirement for modern software systems. Whether you are running a small startup or managing an enterprise-grade platform, the ability to scale efficiently ensures that Read more…
A reverse proxy is a server that sits between the client and multiple backend application instances. It acts as an intermediary, forwarding client requests to the appropriate application instance while hiding the complexity of the Read more…
It’s crucial to differentiate performance from scalability before diving into how we make a system scalable. While these terms are related, they serve different purposes in the context of building scalable software architectures. What is Performance in Software Read more…
Caching is a powerful tool for boosting system performance and reducing latency, but it comes with its own set of challenges. While it can significantly reduce database load and improve user experience, managing a cache Read more…
Caching dynamic data lies at the intersection of system performance optimization and system architecture design. Implementing an effective caching strategy can be challenging because dynamic data changes frequently while still offering opportunities for caching at Read more…
Let’s focus on a crucial aspect: HTTP caching for static data. This is the first of a multi-article discussion about caching techniques. Static data, typically served through the HTTP protocol, offers excellent opportunities for optimization. Read more…
Caching is one of the most impactful tools for optimizing system performance. It enables systems to respond faster by reducing the time it takes to access frequently requested data, dramatically lowering latency, and improving overall Read more…
When designing systems for performance, it’s essential to approach architecture holistically. Performance optimization isn’t just about adding more hardware or tweaking a specific layer—it’s about carefully considering every component of your system, how they interact, Read more…
When discussing concurrency-related latency, two primary factors come into play: queuing delays and coherence delays. We’ve already delved into queuing and the measures to address its impact. Now, let’s shift focus to coherence-related delays—a nuanced Read more…
When designing and maintaining concurrent systems, deadlocks are one of the most infamous issues that can arise. From my own experience working on distributed systems and high-performance architectures, I’ve seen how easily they can sneak Read more…
Concurrency-related latency is one of the most fascinating and challenging topics in system architecture, especially when dealing with lock contention. When multiple threads or processes contend for shared resources, performance can degrade significantly, leading to Read more…
Continuing from pessimistic locking, let’s dive into optimistic locking, a different approach to managing concurrency and minimizing latency. Instead of assuming conflicts will occur (as pessimistic locking does), optimistic locking takes a more hopeful stance: Read more…
When working with shared data in a concurrent environment, ensuring consistency and avoiding corruption are non-negotiable. That’s where locking mechanisms come into play. Today, let’s dive into pessimistic locking—a tried-and-true method to handle contention for Read more…
Concurrency in modern systems is both a blessing and a curse. On one hand, it unlocks the potential of multi-core CPUs and parallel processing. On the other hand, it introduces challenges like lock contention—a silent Read more…