Software Engineering Insights

Speed, scale and seamless customer experience - these are no longer nice-to-haves in e-commerce, but they are business-essentials. Traditional monolithic architectures often struggle to meet the rising demands which leads to slow development cycles and difficulties in managing peak traffic. Microservices architecture provides a solution by breaking down large and complex applications into smaller and independently deployable services. 

According to a report by IMARC, the global microservices architecture market was valued at USD 4.2 billion in 2024 and is projected to reach USD 13.1 billion by 2033, growing at a CAGR of 12.7% from 2025 to 2033.

For tech leaders, building an MVP (Minimum Viable Product) isn’t just about getting a product to market quickly - it is about laying a foundation that can earn investor confidence. In the early stages of a product’s life, the MVP serves as both, a proof of concept and a strategic asset. It is the version of your product that must validate your assumptions, solve a real problem for a defined audience and demonstrate clear potential to scale.

A website’s search visibility, scalability and speed can make or break a business. A slow website drives visitors away, limited scalability restricts growth and poor SEO keeps you hidden from potential customers. Businesses need a web solution that delivers speed, flexibility and seamless user experiences - all without compromise.

APIs - Application Programming Interfaces have always been the backbone of modern software. They are the bridges that let apps communicate with each other which makes everything from mobile payments to social media integrations possible. Over the years, APIs have evolved from simple REST designs to more flexible models like GraphQL. But as our need for instant communication and scalability grows, a new player has taken the spotlight: Event-driven APIs.

Did you know that every successful software has one thing in common? It’s the architecture pattern that underpins its ability to communicate seamlessly, handle heavy loads, scale effortlessly, and ensure uninterrupted uptime.

The enhancement in Natural Language Processing (NLP) has enabled artificial intelligence (AI) systems or Agentic AI to transform industries at scale. These AI agents can lead context-aware interactions and can handle more sophisticated queries, making them easily adaptable. 

In the space of software development, maintaining clear, up-to-date, and interactive documentation is highly important. This is where application programming interfaces (APIs) play a crucial role. 

As per a report by Markets & Markets, the Cloud AI Market is growing rapidly with projections indicating a valuation of USD 274.54 billion by the year 2029, growing at a CAGR of 32.37%. A key driver of this growth is Generative AI, which is taking center stage in a variety of applications.

In general, AI models with their core in Gen AI, attract high cloud costs as they require a large amount of computation power to keep them running. Hence, there arises a need for business leaders to manage and optimize these expenses wisely. 

Let’s peek into how adopting cloud cost optimization techniques can ensure the long-term success of your Gen AI-based applications and ways to do so.

Synthetic data is a term that's been buzzing around the tech world, especially in discussions about AI. So, what exactly is it? 

In 2023, Netflix rolled out its new ‘Profiles’ feature where users could add up to 5 other users to the same subscription. This feature, considering its large-scale impact, was not rolled out for all users at once. Instead, they leveraged “Feature Flags”, or “Feature Toggles” to release the feature to a small subset of its users, that too in a phased manner. This gave Netflix the freedom to optimize user experience based on real-user feedback and the flexibility to switch off the toggle in case something didn’t go right. 

While there are many other instances of how organizations are leveraging feature flags, it’s important to have a clear picture of what Feature Flags really are. Which is exactly what we’ll be discussing in the blog today.