Article about Cloud Scale Distributed Design and Patterns

 

Cloud-scale distributed systems are designed to support very large numbers of users and handle high levels of traffic by distributing workloads across many machines. These systems typically have the following characteristics:

  1. Elasticity: The ability to scale up and down quickly in response to changing demand.
  2. Resilience: The ability to continue operating even in the face of hardware or software failures.
  3. High availability: The ability to provide uninterrupted service to users.
  4. Load balancing: The distribution of workloads across multiple machines to ensure that no single machine is overwhelmed.
  5. Auto-scaling: The ability to automatically add or remove resources based on workload.

Some common patterns used in cloud-scale distributed systems include:

  1. Microservices: Breaking a large application into smaller, independent components that can be developed, deployed, and scaled independently.
  2. Containerization: Packaging applications and their dependencies into containers, which can be easily deployed and run on any machine.
  3. Serverless computing: Allowing developers to build and run applications and services without having to worry about the underlying infrastructure.
  4. Distributed data stores: Storing data across multiple machines to increase scalability and availability.
  5. Event-driven architecture: Using events to trigger the execution of code, allowing for more flexibility and scalability.
  6. Load balancers: Using load balancers to distribute traffic across multiple machines and ensure that no single machine is overwhelmed.
  7. Caching: Storing frequently accessed data in memory to reduce the load on slower storage systems and improve performance.

Happy PC (Programming / Configuring)

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