Engineering
22 posts in category “Engineering”.
Learned Indexes: When Models Replace B‑Trees
2025-10-04A practitioner's guide to learned indexes: how they work, when they beat classic data structures, and what it takes to ship them without getting paged.
The 100‑Microsecond Rule: Why Tail Latency Eats Your Throughput (and How to Fight Back)
2025-10-04A field guide to taming P99 in modern systems—from queueing math to NIC interrupts, from hedged requests to adaptive concurrency. Practical patterns, pitfalls, and a blueprint you can apply this week.
Auditing the Algorithm: Building a Responsible AI Pipeline That Scales
2025-04-05How we operationalized responsible AI with automated audits, governance rituals, and transparent reporting.
Scheduling: Trading Latency for Throughput (and Back Again)
2025-02-12Queue disciplines, work stealing, and CPU affinity: how scheduler choices shape p50/p99, and when to bias for one over the other.
Seeing in the Dark: Observability for Edge AI Fleets
2024-08-16A practitioner's guide to instrumenting, monitoring, and debugging machine learning models running at the edge.
Adaptive Feature Flag Frameworks for Hyper-Growth SaaS
2024-08-15A comprehensive field guide to building resilient, data-driven feature flag platforms that keep hyper-growth SaaS releases safe, fast, and customer-centric.
Countdown to Quantum: Migrating an Enterprise to Post-Quantum Cryptography
2024-01-29Practical lessons from a multi-year effort to adopt quantum-safe cryptography without breaking production.
Sealing the Supply Chain: Zero-Trust Build Pipelines That Scale
2023-10-08An engineer’s map for rebuilding the software supply chain around zero-trust principles without stopping delivery.
Reverse Indexing and Inverted Files: How Search Engines Fly
2023-07-19Tokenization, postings lists, skip pointers, and WAND: a tour of the data structures that make full‑text search fast.
Keeping the Model Awake: Building a Self-Healing ML Inference Platform
2023-02-14A field report on taming production machine learning inference with proactive healing, adaptive scaling, and human empathy.
Timeouts, Retries, and Idempotency Keys: A Practical Guide
2022-09-08Make your distributed calls safe under partial failure. How to budget timeouts, avoid retry storms, and use idempotency keys without shooting yourself in the foot.
Teaching GraphQL to Cache at the Edge
2022-09-03A deep dive into making GraphQL play nicely with edge caches without breaking declarative APIs.
Designing CRDT-Powered Collaboration Platforms that Stay Consistent
2022-08-17Deep dive into how conflict-free replicated data types underpin realtime editors, whiteboards, and multiplayer apps without sacrificing UX.
Instrumenting Without Spying: Privacy-Preserving Telemetry at Scale
2021-05-27How we rebuilt our telemetry pipeline to respect user privacy without sacrificing insight.
Deterministic Monorepo CI Platforms: Engineering Consistency at Scale
2021-04-23A deep guide to building, operating, and evolving reproducible CI/CD systems for large monorepos without sacrificing developer velocity or safety.
Cache‑Friendly Data Layouts: AoS vs. SoA (and the Hybrid In‑Between)
2021-03-18How memory layout choices shape the performance of your hot loops. A practical guide to arrays‑of‑structs, struct‑of‑arrays, and hybrid layouts across CPUs and GPUs.
Raft Fast‑Commit and PreVote in Practice
2020-11-09What fast‑commit and PreVote actually change in Raft, how they affect availability during leader changes, and where the footguns are.
Safe Rollback Strategies for Distributed Databases
2020-11-08A comprehensive guide to designing, executing, and validating rollbacks in distributed database environments without compromising data integrity or customer trust.
Merkle Trees and Content‑Addressable Storage
2020-08-17From Git to distributed object stores: how Merkle DAGs enable integrity, deduplication, and efficient sync.
Tuning the Dial: Adaptive Consistency at Planet Scale
2020-03-11Inside the engineering of databases that adjust consistency on the fly without breaking user trust.
When Data Centers Learned to Sleep: Energy-Aware Scheduling in Practice
2019-07-19An engineer’s chronicle of how hyperscale fleets embraced energy-aware scheduling without sacrificing latency or trust.
Speculative Prefetchers: Designing Memory Systems That Read the Future
2019-02-14A field guide to building and validating speculative memory prefetchers that anticipate demand in modern CPUs and data platforms.