19 Distributed Systems and Components

Distributed Systems and Components Techhyme

Distributed systems are computer systems that consist of multiple interconnected components, such as computers, servers, and other devices that work together to achieve a common goal. The components in a distributed system typically communicate and coordinate with each other through a network, rather than through shared memory or other forms of direct communication.

Some common components of distributed systems include:

1. Messaging systems

These are used to send messages between distributed components of a system.

  • Examples include Apache Kafka and RabbitMQ.

2. Distributed file systems

These are file systems that are designed to store and manage files across a group of servers.

  • Examples include HDFS (Hadoop Distributed File System) and Ceph.

3. Load balancers

These are used to distribute incoming traffic across a group of servers in order to improve performance and availability.

  • Examples include HAProxy and NGINX.

4. Distributed databases

These are databases that are designed to be distributed across multiple servers in order to scale and handle a large amount of data.

  • Examples include Google Cloud Spanner and CockroachDB.

5. Distributed cache

These are in-memory data stores that are used to cache data in order to improve the performance of a distributed system.

  • Examples include Memcached and Redis.

6. Distributed coordination systems

These are used to coordinate the actions of distributed components in a system.

  • Examples include Apache ZooKeeper and etcd.

7. Service discovery

These are used to help components of a distributed system locate and communicate with each other.

  • Examples include Consul and Eureka.

8. Monitoring and observability

These are used to monitor the health and performance of a distributed system and detect and troubleshoot problems.

  • Examples include Prometheus and Datadog.

9. Service mesh

These are used to manage the communication between the various services in a distributed system.

  • Examples include Istio and Linkerd.

10. Distributed tracing

These are used to trace the flow of a request through a distributed system and help identify performance bottlenecks and errors.

  • Examples include Zipkin and Jaeger.

11. Distributed locks

These are used to coordinate access to shared resources in a distributed system.

  • Examples include Redlock and DynamoDB.

12. Distributed schedulers

These are used to schedule tasks to be executed in a distributed system.

  • Examples include Kubernetes and Apache Mesos.

13. Distributed storage

These are used to store and manage data in a distributed system.

  • Examples include Google Cloud Storage and Amazon S3.

14. Remote procedure call (RPC)

These are used to allow components of a distributed system to communicate with each other by making remote procedure calls.

  • Examples include gRPC and Apache Thrift.

15. Stream processing

These are used to process streams of data in real-time in a distributed system.

  • Examples include Apache Flink and Apache Spark.

16. Distributed consensus

These are used to achieve agreement among distributed components in a system.

  • Examples include the Paxos and Raft algorithms.

17. Virtualization

These are used to abstract the underlying hardware in a distributed system and allow multiple operating systems to run on a single physical machine.

  • Examples include VMware and VirtualBox.

18. Job queues

These are used to asynchronously execute tasks in a distributed system.

  • Examples include Celery and Resque.

    19. Network file system (NFS)

    These are used to allow multiple computers to access and share files over a network.

    • Examples include NFS and SMB.
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