Blog
Notes from the field: cloud, AI, leadership, and building startups.
LLM Long-Context Retrieval: Needle in a Haystack Testing and Optimization
Benchmarking LLM retrieval accuracy across context positions and lengths with optimization strategies to prevent the lost-in-the-middle problem
Engineering All-Hands That People Actually Want to Attend
The format, cadence, and content strategy behind engineering all-hands meetings with 94% attendance and positive sentiment, based on 2 years of iteration.
Firestore vs Bigtable: A Decision Matrix for High-Scale GCP Applications
When to choose Firestore over Bigtable (and vice versa) with a practical decision matrix based on access patterns, consistency needs, and cost at scale.
Direct Connect vs VPN: Throughput and Jitter Analysis with Production Data
Throughput and jitter comparison between AWS Direct Connect and Site-to-Site VPN with 6 months of production measurement data.
Calibrating Your Hiring Bar Across 10+ Interviewers
A systematic approach to maintaining consistent interview standards as your engineering team scales beyond a single hiring manager.
Automated Security Scanning and Remediation with Kiro
Kiro agents perform continuous security audits that detect vulnerabilities, generate fixes, and enforce security policies before code reaches production.
Defending Against Prompt Injection in Production: A Layered Security Architecture
A comprehensive defense-in-depth architecture for prompt injection attacks, with detection rates, implementation patterns, and real production incident analysis.
Build-Measure-Learn for Engineering Teams
How to operationalize the Lean Startup methodology within your engineering organization without sacrificing code quality or team morale
AWS CloudWatch Custom Metrics: Building Microservices Observability That Actually Works
How we designed a custom metrics strategy with high-cardinality dimensions that reduced MTTR by 68% across 22 microservices while keeping CloudWatch costs under $340/month.
Building Content Safety Layers for Claude in Production
Architecture patterns for implementing guardrails, content filtering, and responsible AI practices in Claude-powered applications.
Kubernetes Pod Priority and Preemption for Critical Workloads
Implementing pod priority classes and preemption policies to ensure critical workloads always have resources available during cluster pressure
AWS Global Accelerator: Reducing Global API Latency by 60% with Anycast Routing
How we used AWS Global Accelerator to cut global API latency by 60%, with real benchmarks, architecture decisions, and cost analysis across 12 regions.
Managing Distributed Engineering Teams Across Time Zones
Practical strategies for leading engineering teams spread across multiple time zones without burning out your people or sacrificing collaboration quality
Progressive Delivery with GCP Cloud Deploy: Canary Rollouts and Automated Rollbacks
Implementing progressive delivery pipelines with Cloud Deploy, including canary analysis, automated rollback triggers, and multi-target promotion strategies.
Safe Database Schema Migrations with Kiro AI-Guided Rollback Plans
Kiro generates database migrations with built-in rollback strategies, data validation checks, and zero-downtime deployment plans.
Building an AI Workflow Automation Platform
Architecture patterns for AI-powered workflow automation including task orchestration, decision routing, and human-in-the-loop escalation at enterprise scale
S3 Cross-Region Replication Cost Model for Disaster Recovery
CRR cost modeling for disaster recovery compliance with detailed analysis of replication charges, storage costs, and optimization strategies.
Technical Readiness Checklist for Series A Fundraising
What investors and technical assessors look for during Series A due diligence, and how to prepare your engineering org months in advance.
AWS SQS FIFO Queues: Achieving Exactly-Once Processing at Scale
How we implemented exactly-once message processing using SQS FIFO queues with deduplication and ordering guarantees handling 4.2 million messages daily.
The Hardest Problem in AI Agents: Knowing When to Stop and Ask for Help
Why stopping criteria are the most underengineered component of AI agents, with patterns for confidence thresholds, escalation loops, and graceful degradation.
Claude Batch API: Patterns for 50% Cost Reduction
How to architect batch processing pipelines with Claude Message Batches API for massive cost savings on high-volume workloads.
GCP Cloud Logging Cost Control and Optimization
Strategies to reduce Google Cloud Logging costs by 50-80% through exclusion filters, log routing, retention tuning, and sampling without losing critical observability
Coordinating Multiple Kiro Agents for Complex Engineering Tasks
Multi-agent orchestration in Kiro lets you parallelize research, implementation, and review across specialized agents for faster delivery of complex features.
Technical Interviews That Attract Top Talent
How startups can design interview processes that evaluate engineering ability while selling candidates on the opportunity rather than driving them away
Engineering Velocity Metrics That Actually Matter
How to measure engineering team performance without gaming, vanity metrics, or destroying trust—focusing on metrics that drive real improvement
Managing Hybrid Workloads with Anthos: From On-Prem Kubernetes to GCP at Enterprise Scale
Practical guide to running Anthos across on-premises data centers and GCP, covering fleet management, policy enforcement, and service mesh at scale.
API Gateway Compression Strategies: Reducing Transfer Costs by 67%
Response compression at the API gateway layer reducing data transfer costs by 67% with minimal latency overhead.
The Meta-Skill of Managing Engineering Managers Effectively
How CTOs and VPs of Engineering can develop, coach, and empower their engineering managers while maintaining technical and organizational alignment.
AWS CodePipeline Blue-Green Deployments: Zero-Downtime Releases with Instant Rollback
How we implemented blue-green deployments with CodePipeline and CodeDeploy achieving zero-downtime releases and sub-60-second rollback across 14 microservices.
Building a Real-Time AI Personalization Engine
Architecture for sub-100ms personalized content delivery using feature stores, contextual bandits, and streaming ML inference at scale
