Kafka Throughput Optimization
A deep-dive into techniques for improving Kafka throughput — covering compression, batching, partitions, consumer parallelism, tuning configs, and their trade-offs.
A deep-dive into techniques for improving Kafka throughput — covering compression, batching, partitions, consumer parallelism, tuning configs, and their trade-offs.
Latency, bandwidth, throughput, connection pooling, keep-alive, HTTP/2 multiplexing, QUIC, compression, and practical tuning techniques.
Master multi-dimensional Dynamic Programming. Learn to solve Grid Traversals, String Alignments (LCS, Edit Distance), and 2D space optimization in Java.
Master the Two Pointers and fixed-size Sliding Window techniques in Java to optimize nested loops and achieve O(N) time complexity for array and string traversals.
Start Phase 3 by mastering logarithmic time complexity. Learn standard Binary Search, handling rotated arrays, and the advanced "Binary Search on Answer Space" pattern in Java.