• Online, Self-Paced
Course Description

Anticipating failures that will affect your company's systems is a crucial site reliability engineer duty. These failures are especially significant when they affect distributed systems, which is why efficient algorithms and strategies are essential in minimizing the likelihood of failures.

In this course, you'll explore both critical state management and the CAP theorem, identifying how both concepts relate to distributed systems. Next, you'll examine several distributed system management algorithms and strategies, including deterministic and nondeterministic algorithms, distributed system models, and Byzantine faults. You'll then outline how each of these benefits distributed system management.

Finally, you'll investigate the Multi-Paxos message flow protocol and how it works with distributed systems. Finally, you'll describe what's involved in deploying and monitoring a consensus-based system to increase distributed system performance.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Analysis
  • Systems Development