#llmops
7 posts tagged with #llmops
Every article below is hand-written, technically reviewed, and focused on llmops. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
![developer monitor terminal logs tracing — illustration for article on OpenTelemetry Instrumentation for AI Agents [2026]:](https://img.kunalganglani.com/images/vzekdneq/production/f126a9eb93656ea60adeae440cf4b74ed0b5fb93-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning OpenTelemetry Instrumentation for AI Agents [2026]: Ship It
A vendor-neutral tracing schema for AI agents: model LLM calls, retrieval, tool runs, retries, and token cost as spans. Then dashboard latency, error tax, and cost per successful task.
AI and Machine Learning Reduce LLM API Costs 60%: 6 Techniques [2026]
A technique-by-technique playbook with real cost math for cutting LLM API bills in production — covering semantic caching, prompt compression, model routing, batch APIs, and context tiering with 2026 pricing.
AI and Machine Learning Local LLM Cost vs Cloud API: 2026 Break-Even Math [Calculator]
A workload-specific break-even framework with real per-token math — hardware amortization vs. API spend — for coding, RAG, and batch workloads in 2026.
AI and Machine Learning AI Agent Latency Budgets: Performance Guide [2026]
Single-model TTFT benchmarks lie to agent builders. Here's the 6-tier latency budget framework for production AI agents in 2026, with real math for multi-hop tool calls.
AI and Machine Learning LLM Latency Benchmarks 2026: 6 Levers to Hit Sub-500ms TTFT
Real TTFT and throughput data across 10+ models, where latency breaks user experience, and 6 architectural levers to hit sub-500ms budgets in production without sacrificing quality.
AI and Machine Learning Netflix Headroom: How to Cut AI Agent Costs 10x in Production [2026]
Netflix open-sourced Headroom — a context optimization layer that slashes LLM inference costs by up to 10x. Here's how the architecture works and how any team can apply the same patterns.
AI and Machine Learning AI Tech Debt: The 3 Types Silently Killing Your LLM App in Production [2026 Framework]
Prompt decay, model drift, and hallucination tax are the three distinct types of AI tech debt accumulating in every LLM-powered production system. Here's a framework to identify, measure, and pay them down.