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## Mastering Distributed Systems: From Theory to Production Scale

Target Audience

  • Backend Engineers
  • Golang Developers
  • Platform Engineers
  • DevOps Engineers
  • Cloud Architects
  • SRE Engineers
  • Engineering Managers

### Duration

2 Hours

### Topics

#### Part 1: Why Distributed Systems Fail

  • Monolith vs Distributed Systems
  • The 8 Fallacies of Distributed Computing
  • Real-world failure examples

#### Part 2: CAP Theorem Explained

  • Consistency
  • Availability
  • Partition Tolerance
  • Real-world examples

#### Part 3: PACELC Framework

  • Latency vs Consistency
  • Trade-off decisions

#### Part 4: Consistency Models

  • Strong Consistency
  • Eventual Consistency
  • Causal Consistency

#### Industry Case Studies

  • Etcd
  • Cassandra
  • ZooKeeper

### Outcome

Participants will:

  • Understand why distributed systems are hard
  • Learn trade-offs used by Google, Amazon, Netflix
  • Know how databases behave during network failures
  • Gain system design interview knowledge

Join Zoom Meeting

[https://us02web.zoom.us/j/82782573709?pwd=hSVyKUjYnkHQTweoD5bw08pE4jm9cf.1](https://www.google.com/url?q=https://us02web.zoom.us/j/82782573709?pwd%3DhSVyKUjYnkHQTweoD5bw08pE4jm9cf.1&sa=D&source=calendar&usd=2&usg=AOvVaw1xcoOa4XFXOmlISqJMIGK6)

Meeting chat link
[https://us02web.zoom.us/launch/jc/82782573709](https://www.google.com/url?q=https://us02web.zoom.us/launch/jc/82782573709&sa=D&source=calendar&usd=2&usg=AOvVaw0KdXRjHttmjGnbD8CethyA)

Meeting ID: 827 8257 3709
Passcode: 123537

Related topics

Cloud Computing
Distributed Systems
Golang
Python
DevOps

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