Blog — Page 7 of 53
Browsing page 7 of 53 — 634 articles and counting.
How Package Managers Work: Dependency Resolution, Lockfiles, and the Architecture Behind npm, pnpm, and Yarn
A deep dive into how JavaScript package managers resolve dependency version ranges, why lockfiles guarantee deterministic installs, the flat versus nested node_modules debate, pnpm's content-addressable store, phantom dependencies, and the registry protocol.
How LLM Inference Engines Work: KV Caches, PagedAttention, and Continuous Batching From Prompt to Token
A deep dive into the internal architecture of LLM inference engines: autoregressive generation, KV cache memory management, PagedAttention, continuous batching, speculative decoding, tensor and pipeline parallelism, quantization formats, and how to choose between vLLM, TGI, and Ollama in production.
Designing a Reservation and Booking System: Inventory Holds, Double-Booking Prevention, and Concurrency Control for Time-Slotted Resources
A deep dive into time-slot data modeling, double-booking prevention with optimistic and pessimistic locking, hold-then-confirm two-phase flows, waitlist management, timezone handling, and overbooking compensation logic for production booking systems.
How gRPC Works: Protocol Buffers, HTTP/2 Framing, and Bidirectional Streaming From Service Definition to Wire Format
A deep dive into gRPC internals: Protocol Buffer varint encoding and field tags, HTTP/2 frame structure and multiplexing, all four RPC communication patterns with TypeScript, deadline propagation, load balancing strategies, interceptor chains, and production considerations for health checking, reflection, and debugging with grpcurl.
The AI Productivity Paradox: Why Your Team Ships More Code but Delivers Less Value
93% of developers use AI coding tools, yet DORA metrics haven't improved proportionally. Individual output rises while bug rates, review times, and deployment instability climb. Here is why individual AI productivity gains create organizational drag, and how to fix it with architecture-level guardrails.
Database Sharding Strategies Explained: Range-Based, Hash-Based, and Directory-Based Partitioning with Real Production Examples
A comprehensive guide to database sharding strategies covering range-based, hash-based, and directory-based partitioning, shard key selection, resharding, cross-shard queries, and how Instagram, Discord, and Vitess implement sharding in production. Includes a full tradeoffs comparison table and operational guidance.
How Vector Databases Work: HNSW Indexes, Similarity Search, and the Storage Engine Behind AI-Native Retrieval
A deep dive into vector database internals covering embedding storage, HNSW graph index construction and traversal, IVF and product quantization for memory efficiency, similarity search execution with distance metrics, metadata filtering tradeoffs, the write and query paths, and a comparison of Pinecone, Weaviate, Qdrant, pgvector, and Milvus. With production guidance on recall, latency, quantization, and hybrid search.
How Containers Work: Linux Namespaces, Cgroups, Union Filesystems, and the Runtime Architecture From docker run to Running Process
A deep dive into container internals covering Linux namespaces for process isolation, cgroups v2 for resource limiting, OverlayFS and image layer copy-on-write semantics, the OCI runtime spec and containerd/runc execution flow, container networking with veth pairs and bridge devices, and a tradeoffs comparison against VMs, Firecracker, gVisor, and Wasm containers. With production guidance.
How DynamoDB Works: Partition Management, Request Routing, and Single-Digit Millisecond Reads at Any Scale
A deep dive into DynamoDB internals: consistent-hashing partitions, the request router layer, B-tree storage nodes, read/write capacity modes, single-table design, GSI/LSI tradeoffs, Streams, and transactions.
How MongoDB Works: The Document Model, WiredTiger Storage Engine, and Replication From Write Path to Oplog
A deep dive into MongoDB internals covering the BSON document model, WiredTiger storage engine with B-tree indexes and cache management, the full write path from driver to journal to data files, oplog-based replication with elections and read preferences, sharding with chunk migration, and the aggregation pipeline execution model.
How Kafka Works: Partitioned Logs, Consumer Groups, Replication, and Exactly-Once Delivery From Producer to Consumer
A deep dive into Apache Kafka internals covering the append-only partitioned log, producer partition selection via key hashing and sticky partitioning, consumer group rebalancing protocols, ISR-based replication and leader election, exactly-once semantics via idempotent producers and transactions, log compaction, and production tuning. Includes a tradeoffs table comparing Kafka, RabbitMQ, Amazon SQS, Redpanda, and Pulsar.
How TCP Works: The Three-Way Handshake, Flow Control, Congestion Avoidance, and Reliable Delivery From SYN to FIN
A deep dive into TCP internals covering the connection lifecycle, sequence numbers, sliding window flow control, congestion control algorithms, Nagle's algorithm, head-of-line blocking, and how QUIC solves what TCP cannot. With production tuning guidance for server environments.