Resilient OTA Updates for IoT: Rollout, Rollback, and Safety Checks That Actually Work
How to push firmware safely to thousands of devices without bricking them or waking the on-call team at 3 a.m.
Blog Posts
Page 6 of 18
Practical Zero-Trust Patterns for AIoT Edge Devices
How to design AI-powered devices that assume nothing is trusted: not the network, not the model, not even the local firmware.
Safe OTA Model Updates for AIoT: A/B Slots, Canary Rollouts, and Real-World Constraints
How to ship new AI models to thousands of flaky, low-power devices without bricking them or breaking behavior.
Cell-Based Architectures for SaaS: Designing for Blast Radius, Not Just Scale
How to move from one big shared cluster to multiple self-contained cells that limit incident impact and isolate noisy neighbors.
Multi-Region 'Strong Enough' Consistency: Designing Around Reality, Not Theory
Practical patterns for 'strong enough' consistency in multi-region systems: per-entity guarantees, clear SLAs, and simple conflict handling.
Build Pipelines You Can Trust: SBOMs, Signing, and Policy as Code in Everyday CI/CD
Supply chain attacks are no longer rare. This article shows how to add SBOM generation, image signing, and policy checks to a normal CI/CD setup, step by step.
Ephemeral Environments Done Right: Practical Patterns for PR-Based Testing on Kubernetes
Most teams still rely on one shared staging cluster. It's noisy, slow, and hard to trust. This article shows how to create short-lived, per-PR environments on Kubernetes, wired into CI, with simple guardrails.
Idempotency by Design: Building 'Exactly-Once' Effects on 'At-Least-Once' Rails
A practical blueprint for building idempotent systems that prevent duplicate payments, orders, and writes in distributed systems.
Zero-Downtime Schema Migrations: Expand-Contract with Dual-Write Cutovers
Most outages in mature systems are caused by migrations. You can avoid them with safe steps and the right guardrails. A practical guide to the expand-contract pattern for zero-downtime schema changes.
Failure-First AI Agents: Designing Timeouts, Fallbacks, and Human Handoffs That Don't Break Prod
How to build agents that fail safely instead of failing loudly.