Hi everyone. I'm Neha Gupta from Microsoft and I'm excited to welcome you to this session on Kubernetes API Gateways in Cloud Native Service Mesh Strategies. Over the next 15 minutes, we will explore how modern enterprises are evolving their API management practices. And leveraging service mesh architectures to build scalable skin cure and observable systems. Whether you are building large scale distributed systems, managing microservices across multi-cloud environments, or modernizing legacy applications, this session will equip you with actionable insights and proven patterns. So let's dive in. Here's a quick look at our roadmap for today. First, we will discuss the challenges of scaling microservices in Kubernetes environments. Next, we will explore how service mesh technologies address these pain points through traffic management, security, and observability. Then we will walk through practical implementation strategies, and finally, I'll summarize key takeaways and next steps. Let's start by looking at the challenges as microservices proliferate across organizations, managing them effectively becomes a real bottleneck. We call this a service brawl, where the number of services out spaces, the ability of traditional API gateways to manage them. Coupled with this slow deployment velocity integration, bottlenecks that delay releases and reduce agility. As Kubernetes clusters scale, the complexity multiplies without modern orchestration and traffic control, teams struggle to deliver at cloud speed. Traditional API Gateways were never designed for distributed container based architectures. They often become single points of failure, creating operational strain and risking downtime. Manual service discovery and static configurations are another pain point. Simply don't scale. In dynamic multi-cloud environments, persistent configuration drift across dev staging and production introduces consist inconsistency and instability. And finally, the overall operational burden is high. Slowing down innovation. Kubernetes native, API Gateways plus service mesh. This is where Kubernetes native API Gateways combine with service meshes come into play. Together. They create a layered architecture that provides end-to-end traffic control, unified policy enforcement, and holistic observability. By integrating these tools, organizations accelerate development, enhance security with granular policies, and improve reli reliability through advanced traffic steering the result more agile, scalable, and resilient applications, and a true competitive edge. Real world scale in production environment, these architectures shine teams can seamlessly manage containerized microservices across hybrid and multi-cloud setups on Azure AWS or Google Cloud, while ensuring high availability through automated failover mechanisms. This reliability is key when scaling enterprise workloads to thousands of services without compromising performance. Let's take a deeper look at service mesh components. At the heart of Istio, for example, is the control pain, managing policies and service discovery centrally invoice site handle, intelligent traffic, routing, and load balancing at the port level. Security is reinforced through mutual TLS or MTLS, ensuring zero trust communication between services. For teams looking for lighter alternatives, LINKERD offers simplicity and efficiency, delivering MTLS, traffic, routing, and observability with minimal resource overhead. Modern service measures enable powerful traffic management strategies. Let's explore three key ones. First, automated candry deployments. These progressively shift traffic to new versions. Monitoring health in real time and rolling back automatically if issues arise. Second circuit breakers. These isolate falls and prevent cascading failures across services critical for maintaining resilience. And third, intelligent load balancing dynamically routing traffic based on real-time metrics to ensure optimal performance and resource utilization. Cloud native authentication and authorization. Security is non-negotiable. Kubernetes role-based access control or RAC enables gran permissions defining who can do what inside the cluster. By automating service accounts and enforcing lease privilege. RAC enhances multi-tenant security. Complementing this or 2.0 and JWTs allow for secure stateless authentication across APIs, integrating with external identity providers and simplifying API, key management comprehensive observability stack. You can't improve what you can't measure. A complete observability stack combining Prometheus for metrics, grapha for dashboards, and giga or zipkin for tracing, ensuring full visibility across MI microservices. This enables proactive monitoring, root cause analysis, and data driven scaling decisions. DevOps is standardization with hen. HEN charts are the package managers of Kubernetes. Standardizing deployments and enforcing configuration as code. They ensure consistency across development, staging, and production. Key benefits include reusability, version control and dependency management, essential for a scaling complex, microservice ecosystems, intelligent rate limiting and scale. Adaptive rate limiting dynamically throttles traffic based on resource availability and downstream health, preventing overloads paired with auto-scaling integrations like HPA and VPA. You get intelligent scaling and cost optimization across cloud providers like AWS Azure and G-C-P-A-P-I monetization strategies. APIs are not just technical assets, they are business products. Usage based pricing and analytics driven insights help monetize APIs effectively. Namespace isolation supports multi-tenant models while developers self service portals improve discovery and adoption developers self service capabilities, empowering developers is critical. Kubernetes operators and custom resource definitions enable self service management. Automating complex lifecycle operations and embedding GI offs principles. This reduces operational overhead and accelerates delivery cycles. Implementation framework. A successful rollout starts with a clear framework. Assessment and planning. Evaluate your current architecture. Second, deploy the service mesh is to or linkerd with the right security. Third, integrate your API Gateway, align Traffic Management and Observability. Finally optimize for production. Fine. Tune for performance and scale. Transform Kubernetes complexity into competitive advantage. By adopting these strategies, organizations can transform Kubernetes complexity into competitive advantage. Proven blueprints enable managing thousands of services. Monetization unlocks revenue and automation drives operational excellence. To wrap up unify API Management with Kubernetes native gateways and Empower service meshes for resilience and observability. Prioritize automation and gate ups for consistency, embed security and compliance from day one. Thank you. Thank you for joining me at Con 42 kuber native. I hope this session provided valuable insights into building scalable, secure, and observable cloud native architectures. Connect with me on LinkedIn if you'd like to continue the conversation. Until next time, happy building.