Apache Spark: The Workhorse of Distributed Data Processing
A deep dive into Apache Spark's architecture, RDDs, DataFrames, and how it processes massive datasets across clusters at unprecedented scale.
Posts tagged with #distributed-computing
Clock Skew in Distributed Systems: Problems and Solutions
Explore how clock skew affects distributed systems, causes silent data corruption, breaks conflict resolution, and what you can do to mitigate these issues.
The Eight Fallacies of Distributed Computing
Explore the classic assumptions developers make about networked systems that lead to failures. Learn how to avoid these pitfalls in distributed architecture.
Logical Clocks: Lamport Timestamps and Event Ordering
Understand Lamport timestamps and logical clocks for ordering distributed events without synchronized physical clocks. Learn how to determine what happened before what.
Physical Clocks in Distributed Systems: NTP and Synchronization
Learn how physical clocks work in distributed systems, including NTP synchronization, clock sources, and the limitations of wall-clock time for ordering events.
TrueTime: Google's Globally Synchronized Clock Infrastructure
Learn how Google uses TrueTime for globally distributed transactions with external consistency. Covers the Spanner system, time bounded uncertainty, and HW-assisted synchronization.
Vector Clocks: Detecting Concurrent Updates in Distributed Systems
Learn how vector clocks track full causal history to detect concurrent updates, enable conflict detection, and support automatic conflict resolution in distributed databases.
Distributed Systems Roadmap: From Consistency Models to Consensus Algorithms
Master distributed systems with this comprehensive learning path covering CAP theorem, consensus algorithms, distributed transactions, clock synchronization, and fault tolerance patterns.