Hello everyone. Good morning, good afternoon, good evening, depending on where you are joining from. My name is Dne j Prakash, and I'm a senior application developer at Address Calls. It's a real pleasure to be here at Count 42 JavaScript 2025 track. I'm really excited to speak about this topic, API, integration with JavaScript, scalable, secure, and a future ready system. Over the last few years, a P have become the backbone of modern software. Connecting the applications, platforms, and users more seamlessly than ever. But as systems keep growing and getting more complex, making sure these APIs are integrated in a way that's scalable, secure, and ready for the future has become a real challenge. Today I will be sharing some practical strategies for building a Level API, integrations, using JavaScript approaches that can help your system handle skill, maintain security, and stay adaptable for what's coming next. The A PS driven visual transformation. That means APOs have come a long way from being just simple data connectors. Today they serve as the backbone of modern digital ecosystem in our JavaScript driven world. APIs, orchestrate microservices, facilitator, real time data exchange, and integrate diverse cloud platforms effortlessly. In this session, I'll share a data driven blueprint for building an enterprise grade API systems. System that's not only scalable unsecured, but also agile enough to keep a pace with constantly evolving technology landscapes. In our today's journey, we'll start by looking at restful API architecture, understanding the core principles and why it remains the backbone of modern development. Then we'll compare API paradigms rest, so GraphQL and even some hybrid approaches to understand each makes sense. From there, we will dive into. From there, we'll drive into the middleware solutions exploring how modern platforms simplify integration complexity and a isolates enterprise connectivity. Next, we'll cover the security framework, focusing on what API gateways and how a layered defense help protector critical data. We'll then walk through some production best practices and that ensures the reliability per performance and a great developer experience. Once your API go live. And finally we'll look ahead at the future trends, including even driven architecture and ER assisted testing to see where the industry is headed next. So by the end of this session, you will have a complete end-to-end view of how to design secure and a future proof your API ecosystem. Why restful API dominates. Let's talk about the why Restful API continues to dominate the modern API landscape. Even with the rise of newer technologies like GraphQL and GRPC, first and foremost, rest is simple. It's uses standard HTP protocol methods like get put post and delete, which every developer is aware of it and understands that simplicity makes it easier to build, test, and scale applications quickly. Test APAs are also stateless, which means each request contains all the information the server needs. This makes them highly scalable, perfect for cloud native and a distributed systems. There is also a massive ecosystem behind rest because it's been around for so long. There are countless tools, frameworks, and libraries that support across every language and platform. Tell. Now we spoke about why API dominates. Now we'll see what are the architecture benefits of it, which is scalability, interoperability. Flexibility and performance. Let's compare the three A P paradigms, which is rest soap, GraphQL, to understand the ENT and trade offs. Let's start with the rest. It's resource based, lightweight and widely rafted it. It mainly uses a JSON and for data exchange and works great for web mobile applications. Its stateless design also makes it easy to scale. On the other hand. SOAP is more traditional protocol based approach. It's heavier because it lays on XML and as a step may say structures. However, it's still used in the enterprise and legacy systems where reliability and builtin security like wwe, service security are crucial. Then we have a GraphQL, the newer query based model. Unlike rest, you get fixed data from each endpoint graph, queue led. Client specify exactly what data they need, no more, no less. That makes it very efficient for modern applications that handle complex or nest data structures. In short, rest is simple and scalable. So is a robust but heavy. Now, graphic is flexible and modern. The best choice really depends on your projects context and needs, when to choose. And approaches now that we have compared rest, soap and graph, let's talk about when to choose each one. In a real world scenarios, SOAP still matters, especially in industries. Security really takes a key role. Reliability and compliance on non-negotiable. Think about banking, healthcare, government systems. These environments play on soap because it enforce strict standards like web service, security. And support reliable messaging and formal contracts between the services. So even though REST dominates most modern web APIs, SOAP continues to be the backbone for a mission critical and regulated workflows that can't afford a failure or inconsistency. On the other hand, we have a graph QS rise, particularly in the modern JavaScript world, frontend applications. GraphQL gives the client. Fine grain control over exactly what they really need. Reducing the number of round trips to the server that makes it ideal for mobile applications where performance and a bandwidth efficiency are key. Instead of fetching too much or too little. Data GraphQL allows you to get precisely what's required, which translates directly into faster, more responsive user experience. So to summarize, SOAP is still the choice. For a strict enterprise grade transactions, rest fits the most general purpose. APIs and graph cure shines when you need a flexible, efficient data fetching, especially in a modern web and mobile applications. Middleware platforms reducing integration complexity. How was it doing? As organization build more and more APIs and connect more systems together? One of the biggest challenge they face is integration complexity. Traditionally integrating multiple system meant writing, a lot of custom code, dealing with different data formats, maintaining fragile connections and between services. Middleware platforms have completely changed the landscape. These platforms have come with a visual tools and a prebuilt connectors, for example, to say connectors to Salesforce, S-A-P-A-W-S, or databases, which can reduce integration time by nearly a. Instead of spending weeks, months, coding, point to point integrations, teams can now configure, map and deploy connections through intuitive interfaces, and it's just not just about the speed that I'm talking about. These enterprise middleware platforms also provide elastic scalability to handle reading workloads and real time monitoring to ensure the reliability and the performance. In other words, middleware has turned integration from a painful manual process into a strategic exercise focused on configuration and optimization rather than a raw development effort. Key middleware capabilities. Now let's look let's look some of the key capabilities that make a modern middleware platform so powerful. Firstly, a pre-built connectors, the. Platforms come with an extensive libraries of ready to use integrations, for example, connected to connect us to Salesforce and SAPA Ws, or databases, which I mentioned earlier. These eliminates a reputative coding and dramatically accelerates time to market because teams can focus on configurations rather than building the code from scratch. Next, elastic scalability, middleware platforms automatically scale up or down based on the traffic or seasonal demand. So whether it's an end of year sales spike or an unexpected surge of traffic on the API calls the system maintenance consistent performance without a manual tuning, then we have a real time monitoring system. These tools provided deep observability tracking metrics, logs, and alerts across distributed systems. That means team can detect the issues way ahead and fix them before they impact the users. And finally, visual design tools. This is where the low code revolution comes in. Middleware now allows developers and even a technical business users to design, test, and deploy integration workflows visually with a minimal coding. This tool bridges a gap between a technical and non-technical teams making an integration, a shared collaborative effort. All together, these capabilities turn a middleware into a true integration engine. Simplifying complexity while boosting speed, scalability and reliability, security that plays a non-negotiable foundation. Now, let's talk about something that's ab absolutely non-negotiable in any API ecosystem. Secure API ecosystem too often, security is as afterthought. That means we all think that we can build in security later in time. Once a P is all complete design and double, but that's really wrong. Something. That which really need to take it at the first priority than being at the end. But in reality it has. It has to be designed in every layer of your a p architecture from day one. When we combine measures like what for security authentication, robust API gateways for managing and filtering your traffic and comprehensive lifecycle management to track every stage from the deployment and deprecation, we can dramatically reduce endpoint vulnerabilities. These layers work together to protect sensitive data, ensure regulatory complaints, and maintain trust, especially in the industries like finance, healthcare, or government else. Rest rest on without its skill, performance and innovations, we don't matter. Multi-layered security framework, modern APIs rely on multi-layered security framework to stay safe. We use OAuth for secure token based access API gateways to handle the rate limiting validations and the threat detections and lifecycle management to enforce versioning, deprecation, and continuous auditing. Together these layers form a defense in depth strategy, predicting against evolving threats while keeping APIs usable for legitimate clients production best practices. When it comes to running an a p in prod, what do we really need to do? Following making an A PIA best pro best followed approaches. These are the following best practices, ensures reliability, security, and a great developer experience. First is standardizing pandemic conventions. Consistent your patterns. Clear resource hierarchies, unpredictable endpoints makes an API easier to understand and foster for new developers to onboard next. Rigorous testing that plays a key role where we can catch the major defects beforehand. Automated integration tests, performance benchmarking and security vulnerability scans catch issues before they reach a production, reducing a downtime under risk. Finally, a detailed documentation interacted API explores multi-language core examples, and a clear visualing log. Help developers adopt your APIs quickly, and then user support overhead. In short, standardization testing and documentations are the pillars of producing production ready APIs. They make your APIs reliable, secure, and easy to use and scary. Emerging trends. Event driven architecture. What do you mean? What do you mean by event driven architecture? The key, a key trend in modern JavaScript ecosystem is event driven architectures. Unlike a traditional request response models, event driven systems, decouple services and use a synchronous messaging, enabling a real time data flows improve resilience and dynamic scaling. How does it work? We all know we, we pub there, there are ways where you can just publish it and subscribe it. When of any of the event or any change on that state? So firstly, the event producers service emits the event whenever there is a change in the state. Second message Brokers tools like Kafka topic, rapid mq. Route these events to the right subscribers. Event consumers, other services react independently to the events they care about without tight coupling. By adopting these patterns, system can respond. In a real time scale, dynamically under load and isolate of failures, making an architecture more robust and flexible for modern applications. Now coming to the AI assisted testing and a Future innovations, the biggest, the big wave in API development and an operations is AI assisted testing. And it's already reshaping how we ensure a quality and a reliability. We are now seeing a machine learning, models that automatically generate test cases, predict potential failure points and optimize the coverage strategies. This means less manual testing effort, faster release cycles, and higher bug detection rates, especially in a complex multi-service integrations where human testing alone can't keep up. Looking ahead, we are moving towards even smarter systems. Imagine a self feeling, APIs that automatically adapt to failures or intelligent rate limiting that are just based on usage behavior rather than fixed thresholds. We also see a automated security patching and predictive performance optimization where AI can identify potential bottlenecks before the impact users. In short, AI isn't just. Helping US test better. It's redefining how APIs evolve, recover, and optimize themselves in real time. Building a future ready API Systems. To wrap up my talk, let's look at what it takes to build a future ready api. API System First Skill takes the first priority designed for growth from day one use. Stateless architecture, elastic infrastructure, so your APIs can scale seamlessly as demand increase. Secondly, security by design. Like I said, security takes a key role. Make security an integral part of every stage of the API lifecycle. Implement multi-layered protections and proactive vulnerability management and stay ahead of threats. And finally, the future adapt, adaptability. Stay competitive by embracing emerging patterns like event driven architecture and AI assisted tool testing. These innovations will shape how API APIs evolve and interact in the ES ahead with these strategies. Strategies you are ready to design and operate APIs that are scalable, secure, and interoperable and resilient, even as technology continues to change. I would like to conclude my talk with the statement. The APIs we build today are the connections that powers tomorrow's innovation. Let's design them not just to function, but to evolve, adapt, and inspire what comes next. Thank you for listening to me for.