Deep Dive into AWS Load Balancing & Auto Scaling

Master AWS Load Balancers & Auto Scaling for Scalable Applications

This course offers a complete guide to leveraging AWS Load Balancers and Auto Scaling to build highly scalable and resilient cloud infrastructure. Gain practical skills through hands-on labs and real-world scenarios, enabling you to design, configure, and manage these critical components for optimal application performance.

Key Topics Covered:

• Introduction to Load Balancers: Discover the importance of load balancing in cloud environments and how it efficiently distributes incoming application traffic. Understand the benefits of improved performance and availability.
• Load Balancer Terminology: Become proficient with essential load balancer terminology, including listeners, targets, and target groups. Master these core concepts for effective load balancing management.
• Load Balancer Implementation: Follow a detailed, step-by-step guide to designing your VPCs, configuring security groups, and deploying Application Load Balancers for efficient traffic distribution across multiple servers.
• Routing Techniques: Explore routing techniques, differentiating between path-based routing and host-based routing. Implement granular traffic management policies based on URL paths or hostnames for enhanced control.
• Network Load Balancer (NLB) Practical: Participate in a practical lab to implement and manage Network Load Balancers (NLB). Learn how NLBs excel at handling sudden and fluctuating traffic patterns.
• Cross-Zone Load Balancing: Implement cross-zone load balancing strategies to distribute traffic evenly across multiple availability zones, maximizing fault tolerance and application availability.
• Gateway Load Balancer: Understand the use cases for Gateway Load Balancers and configure VPC ingress routing to effectively manage and inspect traffic entering your VPC.
• Auto Scaling Fundamentals: Get a solid foundation in auto-scaling concepts and different auto-scaling types. Ensure your application can automatically scale out during peak demand and scale in to optimize costs during periods of low traffic.
• Custom Termination Policies: Learn to configure custom termination policies for instances, optimizing resource utilization and maintaining application stability.
• Predictive Scaling: Explore predictive scaling options and learn how to configure them to anticipate traffic changes and automatically adjust capacity, guaranteeing optimal application performance.