Welcome everyone, and thank you for joining. I'm Anish. Today's session will focus on how modular architecture can be a catalyst for scaling, agility, maintainability, and performance in enterprise platforms. We'll examine the core principles of modularity, compare implementation strategies, and look at real world applications and. Quantifiable outcomes, especially in service heavy domains. Let's understand modular architecture. Modular architecture decomposes large applications into discrete self-funding modules. Each encompassing a specific business capability. These modules interact via stable interfaces, particularly a or messaging brokers. Why this matters? It supports independent lifecycle management, built deploy, and scale. It aligns development with domain boundaries, especially when using domain driven design DTT. It simplifies testing and CICD pipelines by reducing blast previous of changes. Think of each module as a ED context. It owns its own stake logic and can evolve independently making it a natural fit for. Cloud native systems. Let's break down the fundamental rates of our modular system. The core characteristics first, encapsulation. Encapsulation prevents tight coupling by hiding internal implementation. For example, our customer module should expose only what's necessary, see a customer profile API and hide how it aggregates. Loyalty points, high cohesion. All functionalities within a module should serve one purpose. A well designed order module should not handle customer notifications. Loose coupling modules communicate a synchronously or via table contracts. This encourages event driven architectures, which decouple execution and increase fall tolerance interface stability interfaces, example. The rest graph or GRPC must remain stable across versions. Tools open API or proto above schemas are essential for maintaining version control and backward compatibility. Here's what to keep in mind when designing modular systems. First, separation of concerns, divide responsibilities logically. Ui, business logic, data persistence. Must be handled independently. For instance, don't mix billing logic into a product catalog module. Standardized interfaces, use rest or GIPC with versioning and schema contracts, employ tools, Kong or API gateway for managing and securing interfaces. Scalability by design, each module can scale independently. Payments module can scale three times more than a literally static health center module. Saving cost and improving throughput. Reusability, shared libraries or common services, example or audit login should be extracted as reusable components or SDKs port isolation. If the inventory service fails, the checkout should still proceed with. Estimated quantities or cash data. This is fault tolerance in action. Maintainability. Modularity allows you to migrate tech stacks incrementally. Example, you can refactor one module from PHP two, no JS without affecting the rest of the system. Let's look at the implementation parts, microservices, architecture. Each service has its own code base, DB deployment pipeline. I for domains with strong service boundaries, tools, humanities, SST o Docker, spring Road, et cetera. Modular monoliths, a single deployable unit, but internally organized as modules. Great for early stage teams, or when deployment overhead needs to be minimized, can evolve into microservices. When maturity grows, plugin architectures core system loads or injects new features at one time, common NCMS E-Commerce engines with the magnet or data platform. STRANA enables feature toggles a testing, and third party integration. Use decision mattresses based on deployment frequency, team size, service criticality. To choose the appropriate architecture. Enterprise platforms benefit in measurable ways, faster development. Modular CICD pipelines means teams can release independently less bottlenecks, fewer cross team dependencies. Performance optimization, lightweight modules enable caching, asing processing, and targeted load balancing. Think of a high volume pricing service tuned independently from the backend. Simplified art maintenance easier to isolate and debug issues, telemetry tools, ANA and open telemetry shine when service emit consistent metrics. Technology. Agno one module could run no GS while another run. Python modularity enables. GL services without sacrificing consistency. To illustrate the practical application of modular architecture principles, consider an enterprise e-commerce platform that successfully implemented a modular are approach. Product catalog module migrated to a standalone service with Elasticsearch based indexing. This reduced query time by 47% and allowed for. Passing ingestion. Pipelines. Customer management, modernizing customer onboarding, allowed targeted performance improvements, resulted in 40 to 60% reduction in form abandonment. Order processing. Adopted CQRS pattern to separate operations. Enable 99.99% uptime with intelligent retries and circuit breakers. A module introduced modular AI based recommendation engine using a plug and play architecture enable 15% increase in product discovery through personalized rankings. This shows how modular enable modularity enables both scalability and feature experimentation. Here are the benefits of modular approach. Faster time to market features, ship faster with smaller focused teams. Implementation speed. New capabilities can be added without disrupting existing ones. Resource utilization teams manage their own workloads and backlogs, increasing throughput team autonomy, developers own modules end to end, leading to more accountability and innovation. This approach is key for scaling engineering orgs beyond a few cross-functional teams. It's strong, easy. These are the challenges and considerations. Initial complexity, setting up module boundaries, defining contracts, and building pipelines take effort early investment is required. Next, performance overhead. Too many services. Talking to each other can increase latency. Use techniques, bulk heads, caching, message batching and connection Pooling. Organizational alignment without clarity and ownership. Team scan unintentionally. Couple modules establish clear domain ownership supported by tools backstage or compass for visibility. Here are the best practices for adoption. Start with domain modeling. Use DVD to define module boundaries, tools, even storming or context max help here. Interface governance. Use API re registries, schema violation and contract testing. Example, fact incremental migration. Don't big bank manufacture. Extract one module, define KPIs. Validate outcomes, then proceed. Feature toggles help automate everything. CICD Code quality checks API, lending and runtime policies. This supports consistency and security at scale. To summarize balance agility with stability, modular architecture allows innovation without compromising system health support, sustainable evolution. Code bases, infra and teams can evolve independently, gain a competitive edge faster. Reiteration cycles lower risk, and. Greater developer productivity of enterprise platforms is modular, composable, and scalable by default. Thank you for your attention. I would love to hear your questions, whether they are about module boundaries, migration tooling, or team structures. Feel free to connect me with me.