System design, distributed systems & engineering leadership — explained in depth
Practical deep dives for engineers and tech leads who build and run software at scale: architecture, cloud, AI/LLM engineering and leading teams.
Popular & latest articles
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Cloud FinOps, Zero-Trust Egress, and Edge Fallback
Runaway cloud bills from recursive serverless workloads can be curbed with eBPF egress monitoring and budget-aware S3 circuit breakers.
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AI-Native SDLC: Architecture and Leadership After Pull Requests
AI code overwhelms human pull-request reviews; continuous evaluation, AST-based architecture checks, and differential testing support safer trunk integration.
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Senior Software Engineer: The Role’s Death and What Replaces It
AI is making implementation cheap and weakening code-focused seniority. Reduce system complexity and use risk modeling to make higher-leverage decisions.
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System Design Under Load: Choose Constraints, Not Diagrams
System design for production systems: model demand, isolate failures, choose consistency deliberately, and make cost, latency, and recovery measurable daily.
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Engineering Leadership for Systems That Scale
Engineering leadership for high-scale teams: turn reliability, architecture, AI-assisted delivery, and organizational capacity into operating decisions.
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What Is MCP? Model Context Protocol Explained for Engineers
MCP explained for engineers: hosts, clients and servers, tools and resources, transports, the stateless 2026-07-28 spec and how to secure MCP servers.
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Wasm & eBPF Micro-Kernels After the Container Revolution
Reduce container cold starts and networking overhead with WASI 0.2 Wasm components and eBPF XDP for isolated compute and fast packet handling.
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Speculative Decoding for 3x Faster LLM Inference
Tackle the memory-bandwidth bottleneck in LLM inference with speculative decoding, exact rejection sampling, and PagedAttention KV-cache management.
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1M QPS: Non-Blocking Event Loops and Zero-Copy I/O
Address server throughput collapse from thread exhaustion and kernel thrashing with non-blocking epoll event loops and zero-copy I/O.
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io_uring Ring Buffers and Zero-Copy Sockets at 1M RPS
High syscall overhead can limit Linux servers targeting 1M RPS. Use io_uring SQPOLL and cache-line alignment to reduce I/O and false-sharing costs.
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eBPF Zero-Trust Egress and Multi-Cloud Failover
Silent cloud outages can exhaust threads when NAT drops connections. Use eBPF egress controls and circuit breakers for multi-cloud failover.
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LLM Reasoning Engines: Test-Time Compute and KV Cache Paging
Test-time reasoning strains GPU memory and batching; paged KV-cache sharing with copy-on-write and decoupled PRM evaluation help manage search trees.
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Hybrid Mamba-Attention Models and Zero-KV-Cache AI
Tackle transformer KV-cache growth with selective state space models, associative scans, and fused Triton kernels for long-context inference.
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Distributed Consensus: Fixing Server-Side State at Scale
Distributed consensus can cause split-brain writes and outages; use Raft quorum commits, leader leases, and jittered backoff to reduce risk.
