Architecting-for-Scalability-and-Resilience.pptx

Load Balancing in Cloud Computing: Algorithm & TypesA service load balancing architecture in cloud computing distributes incoming network traffic and workloads across multiple cloud-based resources, such as servers, virtual machines, or containers, to enhance performance, ensure high availability, and improve scalability

1. NADAR SARASWATHI COLLEGE OF ARTS & SCIENCE Submitted by G.Keerthika II M.Sc (cs) Service Load Balancing Architecture and Cloud Bursting Architecture

2. Architecting for Scalability & Resilience Explore the fundamental architectures that drive modern cloud infrastructure, ensuring high availability, performance, and cost-efficiency for your applications.

3. Chapter 1 Service Load Balancing Architecture Definition Distributes incoming network traffic across multiple servers to ensure reliability, performance, and scalability. How It Works A load balancer sits between clients and backend servers, routing requests based on algorithms like round robin, least connections, server health, or geographic location.

4. Key Components of Service Load Balancing Clients End users or applications initiating requests to the service. Load Balancer The central component (software or hardware) responsible for routing requests. Server Pool A collection of multiple server instances or containers hosting the application logic. Health Checks Mechanisms to continuously monitor server health and prevent traffic from being sent to unhealthy nodes. Understanding these components is crucial for designing a robust and efficient load balancing solution.

5. Types of Load Balancers & Their Benefits Layer 4 (Transport Layer) Operates at the transport layer, distributing traffic based on IP addresses and ports (e.g., TCP, UDP). Ideal for simple, high-volume traffic distribution. Example: Directing traffic to different web servers based purely on their IP and port. Layer 7 (Application Layer) Operates at the application layer, understanding HTTP headers, URL paths, and other application-specific data for more intelligent routing. Example: Routing requests to different microservices based on the URL path, like "/api/users" to a user service and "/api/products" to a product service. High Availability Ensures continuous service operation even if some servers fail. Improved Performance Distributes load, reducing response times and preventing server overload. Scalability Allows easy addition or removal of servers to handle varying loads.

6. Service Load Balancing: Real-world Application Consider a large e-commerce platform hosted on AWS. During peak sales seasons like Diwali or holiday sales, traffic can surge unpredictably. Challenge: A single server instance would be overwhelmed, leading to slow performance or outages. Solution: AWS Elastic Load Balancer (ELB) distributes incoming web traffic across multiple EC2 instances running the web application. Benefit: This ensures high availability, as traffic is automatically redirected away from failing instances, and seamless scalability to handle millions of concurrent users.

7. Chapter 2 Cloud Bursting Architecture Definition A hybrid cloud model where a private cloud leverages public cloud resources to handle temporary demand spikes. How It Works Workloads run primarily on-premise or in a private cloud. When resource demand exceeds private capacity, the overflow "bursts" into the public cloud. This strategy allows organizations to maintain control over sensitive data and core operations while gaining the elasticity of the public cloud when needed.

8. Core Components & Benefits of Cloud Bursting Key Components: Private Cloud / Data Center: The primary environment for steady workloads. Public Cloud: Provides on-demand, scalable compute and storage resources (e.g., AWS, Azure, GCP). Cloud Management Platform (CMP): Automates monitoring, workload migration, and resource provisioning for bursting. Hybrid Network Connectivity: Secure, low-latency links (e.g., VPN, Direct Connect, ExpressRoute) between private and public environments. Primary Benefits: Cost Efficiency: Pay-as-you-go for additional public cloud resources only when needed, avoiding expensive on-premise over-provisioning. Scalability: Handles sudden, unexpected surges in demand without service disruption or performance degradation. Control: Maintains data sovereignty and compliance for core workloads within the private cloud.

9. Challenges in Implementing Cloud Bursting Integration Complexity Synchronizing and managing applications across diverse private and public cloud environments can be challenging. Data Consistency & Latency Ensuring data synchronicity and minimizing latency between on-premise and public cloud data stores is critical. Security & Compliance Maintaining consistent security policies and regulatory compliance across hybrid environments poses significant hurdles. Careful planning and robust tools are essential to overcome these challenges and successfully implement cloud bursting.

10. Cloud Bursting in Action: Retail Scenario Imagine a major Indian retail giant preparing for the Black Friday sales event. Normal Operations: The company primarily uses its secure, on-premise data center for daily e-commerce and inventory management, maintaining full control over sensitive customer data. During Black Friday: Anticipating a 10x surge in website traffic and transactions, the company's cloud management platform automatically bursts its web and transactional workloads into AWS . Outcome: This ensures the website remains responsive and handles millions of concurrent users without any performance degradation or the need for costly, idle on-premise infrastructure year-round.

11. Key Takeaways & Next Steps Service Load Balancing Essential for high availability and scalability of applications. Distributes traffic intelligently for optimal performance. Cloud Bursting Optimizes costs by using public cloud for peak loads . Combines control of private cloud with elasticity of public. .

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