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dgt_sre08 – Distributed systems and consensus protocols

Module Title: dgt_sre08 – Distributed systems and consensus protocols

Description:

Welcome to “Distributed systems and consensus protocols” dgt_sre08, an immersive module designed for aspiring Site Reliability Engineers SREs interested in mastering the complexities of distributed systems. This module delves into the critical mechanisms that ensure reliability, consistency, and fault tolerance within these intricate systems—centering on consensus protocols.

Overview:

As technology progresses, distributed systems are becoming increasingly vital to support large-scale applications with high availability and resilience. Understanding how these systems achieve consensus is crucial for any SRE tasked with maintaining their stability and performance. This module explores the theoretical foundations and practical implementations of consensus algorithms that form the backbone of many modern distributed services.

module Objectives:

  • Understand Distributed Systems: Gain a comprehensive understanding of the principles and challenges associated with designing and managing distributed systems.

  • Explore Consensus Protocols: Learn about various consensus protocols, focusing on their roles in achieving agreement among distributed nodes despite failures and network partitions.

  • Examine RAFT Protocol: Dive deep into the RAFT consensus algorithm, analyzing its design and implementation through real-world applications such as etcd and HashiCorp Vault.

Key Topics:

  1. Introduction to Distributed Systems:
  2. Fundamental concepts of distributed computing

  3. Challenges in building reliable distributed systems

  4. Consensus in Distributed Systems:

  5. Importance of consensus protocols in maintaining consistency

  6. Exploring the CAP theorem and its implications

  7. RAFT Consensus Algorithm:

  8. Detailed examination of RAFTs design principles
  9. Comparison with other consensus algorithms like Paxos

  10. Practical insights into how RAFT is implemented in etcd and Vault

  11. Case Studies and Applications:

  12. In-depth analysis of etcd’s use of RAFT for key-value storage in Kubernetes

  13. Understanding HashiCorp Vaults implementation of RAFT for secure secret management

  14. Best Practices and Challenges:

  15. Strategies for deploying and maintaining distributed systems using consensus protocols
  16. Handling common challenges such as network partitions and node failures

Who Should Enroll:

This module is ideal for SREs, system architects, software engineers, and IT professionals eager to deepen their knowledge of distributed systems and the pivotal role of consensus algorithms in ensuring their reliability. Whether you are new to these concepts or looking to solidify your expertise, dgt_sre08 offers a robust curriculum tailored to equip you with the skills necessary for managing complex distributed environments.

module Outcomes:

By the end of this module, participants will have:

  • A thorough understanding of how consensus protocols operate within distributed systems
  • Practical knowledge of implementing and troubleshooting RAFT in real-world applications like etcd and Vault
  • The ability to design and manage highly reliable distributed systems with confidence

Embark on a journey into the heart of distributed computing—enroll in dgt_sre08 today and become a leader in creating resilient, high-performing systems.
The students can push their exercises to the Academy DevOps & SRE GIT project. For this module, create a folder with your username as its name in the following subfolder: https://github.com/Garanti-Del-Talento/gdt_academy