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Production

27 entries tagged “Production”

    AI Production Governance: A Maturity Model · 4 min The gap between stable AI features and shipping chaos isn't tools—it's production governance. How mature teams evaluate, deploy, and roll back. governance ai reliability AI Security: Evolving Threats and Defenses · 7 min As of late February 2026, AI security is defined by adaptive attacks and layered, operational defenses. security ai production AI-Native Architecture Patterns 2026: Production Guide · 7 min Production AI architecture patterns for gateways, retrieval, evaluation, fallbacks, cost control, and ownership. architecture ai engineering AI Video Applications in Practice · 4 min Video AI is practical for scoped workflows. This post covers what works, how to design for reliability, and where human review still matters. llm ai production AI Incidents Don't Look Like Outages. That's the Problem. · 4 min AI systems can return 200 OK while confidently wrong. How to detect, contain, and learn from AI incidents using proven incident response principles. incident-management ai reliability AI Workflow Automation: Decisions Are Cheap, Actions Are Expensive · 4 min The trick to AI workflow automation is simple: let the model decide, let deterministic code act, and never confuse the two. devops ai agents AI Customer Support That Doesn't Make People Hate You · 4 min Most AI support systems are built to deflect tickets. The ones that work are built around escalation, grounding, and the idea that customers aren't idiots. ai production AI Security: Same Principles, New Attack Surface · 5 min AI systems are exposed APIs with real blast radius. The threats are injection, leakage, and tool misuse. The defenses are the ones we've always needed. security ai production Testing AI Where It Actually Runs · 6 min Offline evals are necessary but not sufficient. Here's how I test AI features in production with shadow mode, canaries, and rollback automation -- with Go code. testing ai production Your AI System Looks Healthy. It Is Not. · 4 min Traditional monitoring will tell you your AI service is up. It won't tell you it's returning confident garbage. Here's what observability actually looks like for AI. observability ai production Reasoning Models in Production: A Practical Guide · 7 min Reasoning models are powerful but expensive and slow. Here's how I integrate them in Go services with routing, async patterns, and cost controls that actually work. llm production ai Your AI Infrastructure Is Not Special · 4 min AI infrastructure at scale is just infrastructure. The same boring patterns -- gateways, caching, circuit breakers, budgets -- solve the same boring problems. ai infrastructure architecture AI Safety Is Just Production Engineering · 5 min AI safety in production isn't a research problem. It's defense in depth, the same way cyber defense works -- layered controls, assumed breach, observable boundaries. ai governance production Function Calling Patterns That Survive Production · 7 min Function calling is how LLMs touch real systems. Treat tools like APIs, arguments like untrusted input, and permissions like the model is an intern with root access. llm ai go Agentic Workflows: From Demo Magic to Production Reality · 6 min AI agents that can take actions are fundamentally different from chatbots. The engineering bar must match the blast radius. agents ai production Why I Run Multiple Models in Production · 4 min Betting on a single model provider is like having a single database with no failover. Here is why multi-model is the only sane production strategy. ai architecture llm AI Engineering Is Its Own Discipline Now · 4 min AI engineering is not ML research with a product hat. It is the discipline of making models behave in production -- and it demands its own skill set. ai hiring llm LLM Observability: Your Existing Monitoring Is Not Enough · 5 min Traditional monitoring says the service is up. It won't tell you the model started returning garbage last Tuesday. How to actually observe LLM systems. observability llm ai AI in Production Is Just Engineering. Treat It That Way. · 4 min ChatGPT changed expectations overnight, but shipping AI features that actually work is an engineering problem, not a model problem. ai production engineering Your Staging Environment Is Lying to You · 5 min Staging never catches the real bugs. Here's how I learned to test in production without burning everything down. testing production ci-cd The Boring Kubernetes Checklist That Actually Keeps Production Alive · 5 min Most Kubernetes outages come from skipping the basics. Here's the checklist I use after running clusters at the fintech startup and now at Decloud. kubernetes devops infrastructure GraphQL in Production Is Harder Than They Tell You · 4 min After a year running GraphQL at the fintech startup, here's what the conference talks leave out. api backend production Two Years of Kubernetes in Production — The Boring Parts Are the Hard Parts · 7 min Year two of Kubernetes at the fintech startup: networking, resource tuning, and the operational grunt work nobody blogs about. kubernetes containers devops A Year Running Kubernetes in Production — What Actually Happened · 6 min After a year of Kubernetes in production: the wins are real, but the sharp edges drew blood first. What paid off, what bit us, and what I'd do differently. kubernetes containers devops Why We Deleted 42 Grafana Panels · 3 min Most teams monitor too much and alert on the wrong things. Five metrics are enough to run a startup backend. observability devops production Building Resilient Systems: Lessons from Production Failures · 7 min Production incidents show where architecture bends and breaks. Lessons on designing for failure, limiting blast radius, and making recovery routine. reliability architecture engineering Docker in Production: What We Learned Running Containers at Scale · 8 min Running Docker in production at a mobility startup forced us to get serious about image builds, networking, log aggregation, and security. What actually worked. containers devops infrastructure
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