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Production

27 entries tagged “Production”

    AI Evaluation and Production Governance: A Maturity Model · 4 min A five-level maturity model for AI evaluation and production governance, from vibes-based deploys to CI eval gates, production sampling, and rollback. governance ai reliability AI Security in 2026: Prompt Injection, Agents, and Defenses · 6 min Multi-step prompt injection and tool-based exfiltration target AI agents in 2026. The layered defenses, monitoring, and security review I use. security ai production AI-Native Architecture Patterns 2026: Production Guide · 6 min AI-native architecture patterns for production: an AI gateway, a retrieval layer, an evaluation pipeline, fallbacks, cost control, and clear ownership. architecture ai engineering Video AI in Practice: Pipelines, Evaluation, Human Review · 4 min Video AI is practical for scoped workflows. A reference pipeline, the evaluation metrics that matter for video, and where human review still belongs. llm ai production AI Incident Response: Failures That Don't Look Like Outages · 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: Let the Model Decide, Let Code Act · 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: Design for Handoff, Not Deflection · 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: Prompt Injection and the 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 in Production: Shadow Mode, Canaries, Holdouts · 6 min Offline evals aren't enough. How I test AI features in production with shadow mode, canaries, holdouts, and automatic fallback, with Go code. testing ai production AI Observability: Green Dashboards, Wrong Answers · 4 min Uptime monitoring won't show an AI service returning confident garbage. The five signals I track instead: traces, quality, cost per outcome, safety, ops. observability ai production Reasoning Models in Production: A Practical Guide · 7 min Reasoning models are slow and expensive. How I run them in Go services: complexity routing, async jobs, per-request budgets, and result caching. llm production ai AI Infrastructure at Scale Is Just Infrastructure · 4 min AI infrastructure at scale is just infrastructure. Gateways, caching, workload separation, budgets, and circuit breakers solve the same old problems. ai infrastructure architecture AI Safety in Production Is Defense in Depth · 5 min Production AI safety works like cyber defense: assume breach, layer input, output, and system controls, and watch every boundary with real monitoring. ai governance production LLM 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 the model like an intern with root access. llm ai go Agentic Workflows in Production: Constrain the Blast Radius · 5 min AI agents that take actions carry real blast radius. Policy allowlists, structured workflows, idempotent steps, tracing, and a shadow-mode rollout. agents ai production Multi-Model LLM Routing and Fallbacks in Production · 4 min Betting on one LLM provider is a database with no failover. How I route between models, chain fallbacks, and log which model served each request. 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 work of making models behave in production, and it needs its own hiring profile. ai hiring llm LLM Observability: Monitoring Quality, Not Just Uptime · 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 an Engineering Problem · 3 min ChatGPT reset expectations overnight. Shipping LLM features that hold up takes timeouts, validation, caching, cost tracking, and fallbacks. ai production engineering Testing in Production: Why Staging Misses the Real Bugs · 5 min Staging misses the bugs that matter. How I test in production safely: feature flags, 1% rollouts, canaries, shadow traffic, and synthetic checks. testing production ci-cd Kubernetes Production Checklist: The Boring Basics · 5 min Most Kubernetes outages come from skipped basics: limits, probes, network policies, RBAC, upgrades, etcd restores. The checklist I run on every cluster. kubernetes devops infrastructure GraphQL in Production: N+1 Queries, Caching, and Tracing · 4 min GraphQL in production at a fintech startup: N+1 queries, query cost limits, caching, field-level tracing, and what the conference talks leave out. api backend production Two Years of Kubernetes in Production: The Boring Parts · 6 min Year two of running Kubernetes in production: network policies, DNS, resource requests, PodDisruptionBudgets, upgrades, and RBAC. kubernetes containers devops Kubernetes in Production: What Paid Off and What Bit Us · 6 min Running Kubernetes in production: what paid off, what bit us (networking, secrets, YAML sprawl), and who should adopt it. kubernetes containers devops Production Monitoring: Why We Deleted 42 Grafana Panels · 3 min We cut 47 Grafana panels to five metrics and three paging alerts. The production metrics that matter for a startup backend, and how to prune the rest. 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: Lessons from Running Containers · 8 min What running Docker in production at a mobility startup taught us about image builds, tagging, networking, logs, resource limits, and non-root security. containers devops infrastructure
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