Visual Explainers

Complex concepts explained in ~100 seconds with interactive animations. Use arrow keys or swipe to navigate.

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~90s distributed-systems

Raft Consensus Algorithm

How distributed systems elect leaders and achieve agreement across multiple nodes

consensusleader-follower-replicationquorum
~100s streaming

Kafka Topic Partitioning

How Kafka distributes messages across partitions for parallelism and ordering

topic-partitioningconsumer-groupsoffset-management
~80s distributed-systems

Eventual Consistency

How distributed databases synchronize without blocking writes

eventual-consistencyreplicationconsensus
~120s ml-fundamentals

Backpropagation

How neural networks learn by propagating errors backward through layers

backpropagationloss-functionsoptimization
~85s databases

Write-Ahead Log (WAL)

How databases ensure durability and crash recovery using write-ahead logging

write-ahead-logcheckpointinglog-based-storage
~100s streaming

Consumer Group Rebalancing

How Kafka redistributes partitions among consumers when members join, leave, or fail

consumer-groupstopic-partitioningoffset-management
~75s streaming

Producer Acknowledgments

Understanding Kafka's acks=0, acks=1, and acks=all for durability vs latency trade-offs

producer-acknowledgmentsreplication
~110s ml-fundamentals

Attention Mechanism

How self-attention enables transformers to understand context by letting each token attend to all others

activation-functionsnormalization