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Distributed Systems Notes
Distributed Storage now has its own WohoTech note-topic page so exact chapter searches, viva-style queries, and related search words can land on a focused URL instead of a single long note.
This topic belongs to the Distributed Systems Notes section and helps chapter-level searches reach a dedicated page.
The page includes topic-specific metadata, canonical URL, schema, FAQ, and internal links for better discoverability.
It is useful for exam revision, viva preparation, and learners who search by chapter name instead of the full subject note.
Parent Note
Distributed Systems Notes - CS Sem 8
Complete Distributed Systems notes covering CAP theorem, consensus, microservices, replication, fault tolerance, and message queues for Semester 8.
Distributed Storage is presented as a dedicated note-topic page so learners can revise the chapter faster and search engines can understand the topic more clearly.
A separate URL gives Distributed Storage its own title, description, canonical, schema, and FAQ, which improves chapter-level discoverability and internal search matching.
Use this page for focused revision and chapter-specific search intent, then open the full note when you want the complete subject context.
Distributed Systems Notes
Distributed Systems Introduction
Understand what distributed systems are, their goals, challenges, and why modern platforms rely on them.
Distributed Systems Notes
CAP Theorem
Learn consistency, availability, partition tolerance, and the CAP theorem tradeoffs in distributed systems.
Distributed Systems Notes
Consensus Algorithms
Study consensus algorithms, leader election, Raft, Paxos, and agreement in distributed systems.
Distributed Systems Notes
Microservices Architecture
Learn microservices architecture, service decomposition, communication patterns, and distributed service design.
Distributed Systems Notes
Apache Kafka
Study Apache Kafka basics, producers, consumers, topics, partitions, and event-driven distributed systems.
Distributed Systems Notes
Fault Tolerance Patterns
Understand retries, circuit breakers, replication, graceful degradation, and resilience patterns in distributed systems.