Engineering Atlas

field notes

Field notes from the work

1,446 posts · 6 series

Lessons from the Atlas, engineering notes, and one-off deep dives — searchable, filterable, and aware of what you've already read.

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  1. Your Options Data Probably Only Has the Front Week — Audit Before You TrustMany retail-accessible options datasets contain each contract's final days only. The audit that detects it, and the feasibility classifier that tells you which strategies your data can honestly answer.Quant EngineeringPart 411 min read
  2. AWS CLI command history from zero: purpose, boundaries, and first CLI inventoryBuild an accurate mental model of AWS CLI command history, identify its control and data planes, and run a read-only discovery command.AWS from ZeroPart 11305 min read
  3. AWS CLI configuration: List with the AWS CLIUse `aws configure list` to inspect list, then shape the response with a verified query without hiding pagination or errors.AWS from ZeroPart 11295 min read
  4. Expiry Indexing: The Off-by-One That Silently Deleted 96% of My TradesA platform's expiry index 1 and your engine's expiries[1] can be different contracts — how a one-line convention mismatch gutted a ten-thousand-config validation run, and the data-driven method that catches it.Quant EngineeringPart 311 min read
  5. AWS CLI configuration: Get with the AWS CLIUse `aws configure get` to inspect get, then shape the response with a verified query without hiding pagination or errors.AWS from ZeroPart 11284 min read
  6. AWS CLI configuration: Regions, endpoints, IAM, quotas, pricing, and cleanup modelMap regional behavior, endpoint selection, permissions, quotas, cost dimensions, tagging, and dependency-aware cleanup.AWS from ZeroPart 11275 min read
  7. Your Map of the Technology World: Layers, Interfaces, Incentives, and EvidenceComplete Tech Explained Simply with a reusable map connecting hardware, computation, software, networks, data, automated decisions, organizations, economics, governance, and social consequences.Tech Explained SimplyPart 3006 min read
  8. Explaining Technology Simply without Being Wrong: Build Honest Mental ModelsLearn how to explain technology through audience goals, layered mental models, precise terms, bounded analogies, examples, limits, causality, uncertainty, and verification.Tech Explained SimplyPart 2996 min read
  9. Choosing Technology with Evidence: Match the Tool to the Real ProblemLearn how to choose frameworks, databases, cloud services, and AI models through workload definition, constraints, prototypes, benchmarks, operations, risk, team skill, cost, and exit.Tech Explained SimplyPart 2986 min read
  10. Balancing Speed, Quality, and Scope: Move Faster by Narrowing the ProblemLearn how teams define outcomes, non-negotiable quality, risk, minimum valuable scope, release evidence, technical debt, staging, rollback, and decision ownership.Tech Explained SimplyPart 2975 min read
  11. Designing for Change: Stable Boundaries, Reversible Decisions, and Safe MigrationsLearn how to design software for likely change using boundaries, contracts, adapters, schemas, feature flags, compatibility, migrations, tests, observability, and decision records.Tech Explained SimplyPart 2965 min read
  12. Designing for Failure: Detection, Containment, Recovery, and ProofLearn how to identify failure modes, set service objectives, design timeouts, retries, circuit breakers, degradation, isolation, backups, recovery, testing, and incident learning.Tech Explained SimplyPart 2956 min read
  13. Following One Request End to End: Finding Time, Ownership, and FailureLearn how to trace a user request through browser, DNS, network, edge, load balancer, application, authentication, services, databases, queues, rendering, observability, and failure.Tech Explained SimplyPart 2945 min read
  14. Following Identity Through a System: From Login to Every Privileged ActionLearn how credentials become sessions and tokens, how identity crosses APIs and services, and how authorization, delegation, expiry, revocation, audit, and tenant boundaries must be preserved.Tech Explained SimplyPart 2936 min read
  15. Following Data Through a System: Mapping Every Copy and ResponsibilityLearn how to trace data from collection through validation, transmission, storage, transformation, access, sharing, analytics, backups, retention, deletion, and incident response.Tech Explained SimplyPart 2926 min read
  16. Reading a Technology Claim Critically: From Headline to Testable EvidenceLearn how to examine technology claims through definitions, baselines, measurements, constraints, incentives, replication, deployment evidence, uncertainty, and practical significance.Tech Explained SimplyPart 2915 min read
  17. Responsible Innovation: Building Capability with Benefits, Harms, and Remedy in ViewLearn how responsible innovation defines purpose, includes affected people, examines alternatives and harms, tests assumptions, stages deployment, monitors outcomes, and provides remedy.Tech Explained SimplyPart 2906 min read
  18. Technology Forecasting: Following the Path from Capability to AdoptionLearn how to forecast technology using feasibility, performance, manufacturing, economics, infrastructure, regulation, adoption, incentives, scenarios, probabilities, and calibration.Tech Explained SimplyPart 2895 min read
  19. Decentralized Systems and Blockchains: Shared State without One WriterLearn how blockchains use transactions, hashes, signatures, consensus, nodes, smart contracts, tokens, finality, governance, privacy, and incentives.Tech Explained SimplyPart 2885 min read
  20. Digital Twins: Maintaining a Model-Data Relationship with a Real SystemLearn how digital twins combine physical assets, sensors, models, synchronization, simulation, calibration, uncertainty, validation, decisions, security, and lifecycle management.Tech Explained SimplyPart 2875 min read