Stack Pulsar — LLMOps, FinOps, AI Infrastructure

AI Coding Agent Observability 2026: Six Tools

Thu, 13 Aug 2026 00:00:00 GMT

Claude Code 1.0, Gemini CLI, Codex CLI, OpenCode, GitHub Copilot, AWS Kiro: per-tool OTel hooks, normalized schema, and a five-panel view.

Mesh Inference on iroh: GPUs in Three Offices and a Closet

Wed, 15 Jul 2026 00:00:00 GMT

Mesh LLM turns scattered GPUs into one OpenAI-compatible API. Skippy split-mode layer-pipeline inference behind localhost:9337/v1 — and the OTel gap.

OpenAI Just Made Your Agent a Black Box (and What to Do)

Wed, 15 Jul 2026 00:00:00 GMT

OpenAI's Codex multi-agent-v2 encrypts the parent→subagent payload (July 14, 2026). The agent-side OTel proxy at the world-state flag keeps your plaintext copy.

Custom AI Silicon 2026: Meta MTIA, Trainium2, TPU, Maia

Sat, 11 Jul 2026 00:00:00 GMT

Meta MTIA 300/450/Iris, AWS Trainium2/Inferentia2, Google TPU v5e/v6, Microsoft Maia 100 vs NVIDIA H100/B100 — vendor-neutral, dollar-per-token.

Per-Engineer AI Observability 2026: Beat Reflection

Sat, 11 Jul 2026 00:00:00 GMT

OTel + LangSmith + ClickHouse reference schema for per-engineer Claude observability — session cost, four-signal dashboard, 1/3/6/12-month retention.

Agent Observability at 1,200+ Agents: OTel Stack 2026

Wed, 08 Jul 2026 00:00:00 GMT

AWS AgentCore vs. OSS for 1,200-agent fleets: OpenTelemetry gen_ai.* conventions and a Tempo / ClickHouse / OpenSearch trace-store comparison.

Agent Sandbox vs. Agent Substrate: CNCF Runtime 2026

Wed, 08 Jul 2026 00:00:00 GMT

Two CNCF SIG Apps projects — agent-sandbox and agent-substrate — and the OTel pattern that makes both debuggable in production.

Coding Agent Cost Observability 2026: One View

Wed, 08 Jul 2026 00:00:00 GMT

How a normalized OTel GenAI schema caught $1,600 of hidden Claude Code + Cursor overlap on an $11,400 bill — five-panel Grafana cost view.

The Agentic Harness for AI Incident Response

Wed, 17 Jun 2026 00:00:00 GMT

PagerDuty CAIO: AI incident tools are missing a critical layer. The 4-layer harness (state, memory, authority, verification) for end-to-end agent ownership.

Carbon-Aware AI Inference 2026: Cut Energy 30-50%

Sat, 13 Jun 2026 00:00:00 GMT

A 1000-H100 inference fleet spends $850K/year on electricity. Continuous batching, KEDA queue-depth autoscaling, and Kube-Green recover 30-50% of that energy.

AI Cost by Workflow 2026: The Tokenmaxxing Layer

Sat, 06 Jun 2026 00:00:00 GMT

Per-workflow token attribution: tag every LLM call with workflow_id, build per-business-process cost dashboards, route workflows to cheaper models.

Agentic Ops Platform 2026: Enterprise Reference Architecture

Sat, 06 Jun 2026 00:00:00 GMT

Enterprise architecture for 200+ internal AI agents: per-agent RBAC, audit logs, sandboxed tools, prompt-injection defense, and the Kubernetes operator pattern.

Probabilistic Observability 2026: AI Debugging Discipline

Sat, 06 Jun 2026 00:00:00 GMT

The 4 primitives for debugging non-deterministic AI: output distributions, semantic traces, statistical regression, hallucination-as-metric. OTel + Grafana.

AI Operational Debt 2026: 3 Forms That Break AI Strategy

Fri, 12 Jun 2026 00:00:00 GMT

Prompt debt, eval debt, tool debt: the three forms of operational debt unique to AI systems, and the audit pattern that finds them before they break production.

AI Coding Agent FinOps 2026: Copilot, Cursor, Devin Cost

Wed, 03 Jun 2026 00:00:00 GMT

Per-engineer token costs, per-LOC and per-PR attribution, anomaly detection, and enterprise policy for AI coding agents: Copilot, Cursor, Devin.

The Google Remy Leak: AI Agent Stack Risk in 2026

Wed, 03 Jun 2026 00:00:00 GMT

Google's Gemini Workspace agent stack leaked via OAuth over-scoping, calendar side-channels, and draft-state recovery — a pattern, not a single CVE.

AI SLO/SLA Contracts: A Practical Guide for Infra Teams

Thu, 28 May 2026 00:00:00 GMT

TTFT p99 targets, composite SLA math, model deprecation clauses, and RAG recall SLOs — a practitioner's guide to AI service SLAs in production.

SGLang Production Monitoring: A Complete Practical Guide

Fri, 24 Apr 2026 00:00:00 GMT

Monitor SGLang in production: RadixAttention architecture, KV cache metrics, prefill/decode throughput, TTFT, Prometheus + Grafana instrumentation, and a frank comparison with vLLM and Ollama.

LLM Latency Monitoring 2026: TTFT and TPOT

Sat, 11 Apr 2026 00:00:00 GMT

Every millisecond your users wait for an LLM response, engagement drops. Here is how to measure, monitor, and fix LLM latency with TTFT, TPOT, and the metrics that actually matter in production.

Prometheus vs Grafana: Fix Alert Fatigue and Unknown Pods

Sat, 11 Apr 2026 00:00:00 GMT

Your Kubernetes pods are eating through budget, your on-call is drowning in alert fatigue, and your dashboards show 'unknown' for half your services. Here is exactly how to fix your observability stack using Prometheus and Grafana — and when to use each one alone.

LLM Hallucinations: Five Production Detection Methods

Sat, 11 Apr 2026 00:00:00 GMT

Five detection methods with thresholds: regex PII gates, RAGAS faithfulness >0.80, sentence-transformer drift <0.35, judge model, Prometheus SLO burn alerts.

LLMOps Observability: Latency, Hallucinations, and Drift

Sat, 11 Apr 2026 00:00:00 GMT

A blueprint for LLMOps observability: why HTTP 200 is a lie for LLM apps, the three pillars of LLM health (latency, quality, reliability), and how to implement an LLM Health Score for production AI systems.

Multimodal LLM Cost Optimization 2026: Vision and Audio AI

Fri, 10 Apr 2026 00:00:00 GMT

GPT-4V costs 4x GPT-4o, a 1024px image can burn 16K tokens. What cut our bill 62%: image compression, region cropping, Whisper-tiny, prompt caching.

AWS Savings Plans vs Reserved Instances: 2026 FinOps Guide

Fri, 10 Apr 2026 00:00:00 GMT

AWS Compute Savings Plans beat EC2 RIs for GPU inference. Coverage math, Auto-Refit pattern, and the ml.p5 commitment trap I learned the hard way.

LLM Cost Monitoring Tools 2026 — Complete Guide

Wed, 01 Apr 2026 00:00:00 GMT

Stop guessing where your LLM spend goes. This guide covers the full-stack approach to monitoring LLM costs — from token-level attribution per user and model to real-time alerting on budget overruns and anomaly detection.

Cut vLLM GPU Costs 40% with KEDA Queue-Depth Autoscaling

Fri, 10 Apr 2026 00:00:00 GMT

I cut our vLLM GPU bill 40% (8xH100, $11.4k → $6.8k/mo) by replacing HPA with KEDA queue-depth autoscaling. Prometheus + Karpenter config inside.

vLLM vs Triton: Real H100 Throughput and Migration Cost

Sat, 11 Apr 2026 00:00:00 GMT

PagedAttention gives vLLM 2-5x throughput vs Triton on Llama-3 70B H100; Triton wins for multi-model serving. FP8, AWQ, ops, and TTFT compared.

AI Incident Postmortem Template: Four-Question Framework

Sat, 11 Apr 2026 00:00:00 GMT

When your AI system fails, you need answers fast. This copy-paste postmortem template uses a proven four-question framework — with a real medical AI incident example and a production runbook checklist your team can use immediately.

Kubernetes GPU Operator: A Production Setup Guide

Sat, 11 Apr 2026 00:00:00 GMT

GPU pods not scheduling? The NVIDIA GPU Operator stack plus HAMi (CNCF Incubating Jul 2026): sharing primitives, migration cookbook, cross-vendor scheduler.

How to Monitor Ollama in Production: The Observability Stack

Sat, 11 Apr 2026 00:00:00 GMT

A 4-hour outage from a silent Ollama CPU fallback: TTFT 30x slowdown, every probe green. The Prometheus scrape config, VRAM alerts at 90%, and 5 Grafana panels.

Five LLM Dashboards That Catch Incidents in 30 Minutes

Wed, 22 Apr 2026 00:00:00 GMT

Five Grafana panels with the Prometheus queries behind them — token throughput, TTFT/TPOT, cost-per-model, error rates. Copy JSON, ship in 30 minutes.

Build Your First LLM Monitoring Stack: OTel + Prometheus

Thu, 23 Apr 2026 00:00:00 GMT

A practical guide to instrumenting LLM applications with OpenTelemetry, scraping metrics with Prometheus, and visualizing token costs, latency, and quality signals in Grafana dashboards.

DevOps Supply Chain Security 2026: CPU-Z Compromise Lessons

Sat, 11 Apr 2026 00:00:00 GMT

The April 2026 CPU-Z/HWMonitor supply chain attack exposed how even trusted developer tools can become attack vectors. Here's what infrastructure and DevOps teams need to know about software provenance, SBOM, and supply chain hardening.

OpenTelemetry for AI Inference: Tracing LLM Pipelines

Sat, 11 Apr 2026 00:00:00 GMT

How to instrument LLM inference pipelines with OpenTelemetry — from prompt injection to token streaming, from model serving to downstream tool calls, using OTel's AI semantic conventions.

AI Agent Reliability 2026: Failure Modes + Observability

Sat, 25 Apr 2026 00:00:00 GMT

What actually breaks an agent at 2am: four failure modes, the OTel span hierarchy that surfaces them, and the CrewAI v0.5 + LangGraph fixes that work.

Agentic AI Infrastructure for DevOps and Platform Engineers

Thu, 09 Apr 2026 00:00:00 GMT

From stateless LLM calls to autonomous multi-step agents — a practical guide to the infrastructure patterns that make agentic AI production-ready.

Datadog Migration: From $15K to $3K/mo Playbook

Fri, 10 Apr 2026 00:00:00 GMT

Three client migrations from Datadog to Grafana + Prometheus + Tempo. Average savings: 80%. This playbook covers the exact sequence (don't skip order), the billing traps that inflate your new stack, and the three dashboards you need first.

LiteLLM Production Monitoring 2026: Gateway + Cost Tracking

Sat, 11 Apr 2026 00:00:00 GMT

Monitor LiteLLM 1.95.0-dev.1: critical SSRF fix, Rust gateway routes, MCP DCR, spend controls, signed images, and the current stable pin.

LLM Context Window Optimization: Cut Costs, Keep Quality

Wed, 22 Apr 2026 00:00:00 GMT

A practical guide to reducing LLM inference costs by 40-70% using semantic truncation, context compression, dynamic sizing, and hybrid retrieval — with code examples.

Multi-Modal LLM Monitoring in Production: A Practical Guide

Thu, 23 Apr 2026 00:00:00 GMT

How to monitor vision, audio, and text inputs in multi-modal AI systems. Covers metrics unique to multi-modality, OpenTelemetry instrumentation patterns, and the monitoring stack for production MLLM applications.

LLM Model Drift Detection 2026: Monitoring AI Degradation

Sat, 11 Apr 2026 00:00:00 GMT

Our support LLM silently degraded for weeks before any alert fired. The 4-layer drift stack I built: statistical, embedding, LLM-as-judge, reference tests.

AI Model Monitoring vs Traditional APM in 2026

Tue, 21 Apr 2026 00:00:00 GMT

Four fundamental differences between AI and software monitoring — non-deterministic output, token-based cost, multi-component latency, and stateful context windows.

LLM Evaluation Frameworks: RAGAS, TruLens, and the Stack

Sat, 18 Apr 2026 00:00:00 GMT

RAGAS scores retrieval faithfulness, TruLens traces attribution per output. Comparison table, CI gating pattern, and the threshold strategy we use.

LLM Incident Postmortem 2026: Lessons from AI Failures

Sat, 11 Apr 2026 00:00:00 GMT

Real incident retrospectives from legal RAG, medical AI, and customer support AI failures. Learn the four-question AI postmortem framework, the failure modes unique to non-deterministic systems, and the runbook patterns that prevent repeat incidents.

LLMOps Platform Comparison 2026: Guide to the Leading Tools

Fri, 17 Apr 2026 00:00:00 GMT

Hands-on 2026 LLMOps comparison: Braintrust's eval gating vs LangSmith tracing vs Phoenix OTel — pricing tiers, PII gaps, and which scales further.

Prompt Injection: Detection and Prevention Strategies

Fri, 17 Apr 2026 00:00:00 GMT

Prompt injection is an active threat in production AI systems. Here are the detection methods, prevention strategies, and the defense-in-depth architecture you need to stay protected.

SRE Best Practices for AI/LLM Systems in 2026

Sat, 11 Apr 2026 00:00:00 GMT

A practical SRE playbook for operating AI and LLM systems in production. Covers AI-specific SLOs, SLIs, error budgets, incident response runbooks, on-call procedures, and chaos engineering for AI workloads.

vLLM vs TGI vs TensorRT-LLM on H100s: The Benchmarks

Wed, 15 Apr 2026 00:00:00 GMT

vLLM, TGI, and TRT-LLM benchmarks plus Qwopus3.6 and Neutrino-8B serving paths, VRAM, quantization, and engine support.

Terraform vs Pulumi: AI Infrastructure Decisions

Sat, 11 Apr 2026 00:00:00 GMT

Terraform vs Pulumi for AI/ML infra: dynamic GPU clusters, Kubernetes, multi-cloud routing, and the Terraform 1.17 alpha caveat.

State of AI Infrastructure 2026: From Hype to Production

Fri, 10 Apr 2026 00:00:00 GMT

A practical analysis of the AI infrastructure landscape in 2026 — GPU providers, inference frameworks, SLM adoption, and the FinOps reality check that follows scale.

Kubernetes Cost Optimization: Cutting Cloud Bills in Half

Thu, 09 Apr 2026 00:00:00 GMT

Practical strategies to cut Kubernetes spend by 40-60%: right-sizing nodes, Spot instance mixing, cluster autoscaling, namespace quotas, storage tiering, and Kubecost for visibility.

LLM Security Hardening 2026: A Defense-in-Depth Guide

Sat, 11 Apr 2026 00:00:00 GMT

Prompt injection, jailbreaking, and model extraction threaten production AI systems. Here are the six defense layers every AI engineer needs in their production stack.

Helicone vs Portkey vs LangSmith: LLM Observability 2026

Sat, 11 Apr 2026 00:00:00 GMT

Helicone (100K/mo free), Portkey ($50/mo at 500K routed), LangSmith Plus ($39/seat). Proxy tracing, eval, and guardrails tested on real production LLM traffic.

The Rise of eBPF 2026: A New Era for System Observability

Sat, 11 Apr 2026 00:00:00 GMT

eBPF is rewriting the rules of Linux observability. Learn how extended Berkeley Packet Filter programs enable kernel-level monitoring without instrumentation, and why it matters for AI infrastructure.

eBPF for AI Networking: GPU Workload Visibility

Wed, 03 Jun 2026 00:00:00 GMT

How eBPF, Cilium, and Hubble deliver kernel-level observability for AI infrastructure: GPU scheduler events, NCCL/RDMA latency, and inference pod traffic.

Datadog Alternatives 2026: 5 Cost-Effective Picks

Sat, 11 Apr 2026 00:00:00 GMT

Five Datadog alternatives that deliver better value at scale — covering LLM inference, Kubernetes, and cloud cost observability for 2026.

Monitoring LLM Hallucinations 2026: AI Engineer Guide

Sat, 11 Apr 2026 00:00:00 GMT

Hallucinations are the blind spot of LLM monitoring. Here is how to detect, measure, and reduce them in production — with rule-based checks, LLM-as-a-judge, and embedding drift detection.

K8s GPU Scheduling: Stop NUMA Crossings Killing Training

Sat, 11 Apr 2026 00:00:00 GMT

NUMA crossings killed 38% of our 70B training throughput (11d → 7d with NVLink pinning). The K8s GPU scheduling playbook for real perf.

OpenClaw Reliability: Production AI Agent Patterns

Sat, 11 Apr 2026 00:00:00 GMT

A senior SRE perspective on OpenClaw failure modes in AI agent production environments, with hardening patterns and monitoring strategies for DevOps and AI engineers.

Agentic Observability: Multi-Agent LLM Monitoring

Fri, 10 Apr 2026 00:00:00 GMT

A practical guide to observability for agentic AI systems — step-level tracing, cost accounting, reliability monitoring, and the four-layer stack you need to debug production agents.

GPU Monitoring for AI Inference: A Practical Guide for 2026

Fri, 10 Apr 2026 00:00:00 GMT

Monitor GPU utilization, VRAM, temperature, and power draw for AI inference. Covers DCGM, Prometheus, Kubernetes GPU scheduling, MIG partitioning, and cost optimization.

RAG Observability 2026: What Matters in Production

Fri, 10 Apr 2026 00:00:00 GMT

A practical guide to monitoring RAG pipelines in production — retrieval precision, context utilization, answer faithfulness, embedding drift, and the metrics that actually predict user satisfaction.

MCP Monitoring: Observability for Model Context Protocol

Thu, 09 Apr 2026 00:00:00 GMT

A practical guide to monitoring MCP (Model Context Protocol) servers in production. Covering metrics, dashboards, alerting rules, and open-source tooling for 2026.

LLM Observability: Complete Implementation Guide

Thu, 09 Apr 2026 00:00:00 GMT

A practical guide to implementing LLM observability in production. Covers the 8 critical signals, OpenTelemetry instrumentation architecture, and the monitoring stack your AI applications need at scale.

Catch GPU Throttling at 83°C: Prometheus + Grafana + eBPF

Thu, 09 Apr 2026 00:00:00 GMT

Above 83°C, vLLM pods throttle silently until OOMKilled. Prometheus + Grafana + eBPF catches GPU starvation across 200 GPU pods before it cascades.

Vector Database Comparison 2026: Pinecone, Milvus, Weaviate

Wed, 08 Apr 2026 00:00:00 GMT

Pinecone vs Milvus vs Weaviate 1.39 for production RAG: Namespaces, live reindex, REST search, gRPC web, cost, and operational trade-offs.

The State of Observability in 2026: Trends and Tech

Wed, 08 Apr 2026 00:00:00 GMT

2026 AI observability playbook: OTel + eBPF + vLLM, with SLO targets — TTFT under 1.5s, KV-cache at 95%, RAG top-1 cosine above 0.75 in production.

Cloud FinOps in 2026: From Chaos to Controlled Spend

Wed, 08 Apr 2026 00:00:00 GMT

A practical guide to cloud waste reduction without sacrificing performance — covering tagging strategies, reserved capacity, and cost-aware architecture.

LLM FinOps 2026: Cut Your AI Bill, Keep Performance

Wed, 08 Apr 2026 00:00:00 GMT

A practical guide to reducing LLM inference costs by 60-80% using tiered model routing, semantic caching, prompt optimization, and self-hosting — without measurable accuracy loss.

vLLM, SGLang, or Ollama: Self-Hosted LLM Engines Benchmarked

Sat, 30 May 2026 00:00:00 GMT

vLLM tops throughput, SGLang adds multi-model routing, Ollama wins on simplicity. Benchmark data and decision framework for 2026 self-hosted LLM serving.

vLLM Production Monitoring: A Practical Stack Guide

Wed, 08 Apr 2026 00:00:00 GMT

GPU cache utilization, KV cache hit rate, TTFT/TPOT metrics, and a complete Prometheus + Grafana monitoring setup for vLLM inference servers — updated for v0.19.

Monitoring the Unseen: Observability for AI/ML Pipelines

Wed, 08 Apr 2026 00:00:00 GMT

LLMs, vector databases, and RAG pipelines introduce new failure modes. Here is how to instrument your AI stack for production reliability.

Multi-LLM Routing: Cut Costs 40% Without Quality Loss

Thu, 28 May 2026 00:00:00 GMT

200K requests across GPT-4o, Claude 3.5, and Gemini 2.0 Flash: cost-plus-latency routing saved 44% with no measurable quality drop. Architecture inside.

Multi-Dimensional AI Retrieval: Beyond Vector Search

Wed, 17 Jun 2026 00:00:00 GMT

Vector search is 30% of production RAG. The other 70% is BM25 + cross-encoder rerank + tensors + rules. The 2026 stack, plus 3 anti-patterns to avoid.

AWS FinOps Agent 2026: The First Frontier Agent for FinOps

Wed, 17 Jun 2026 00:00:00 GMT

AWS FinOps Agent investigates cost anomalies in plain English inside Slack and Jira. The frontier-agent pattern, what it covers, and the FinOps maturity model.

Fine-tuning in Production: The Infrastructure Guide for 2026

Wed, 27 May 2026 00:00:00 GMT

Axolotl, Unsloth, TRL, QLoRA and the eval pipeline that catches bad checkpoints — the fine-tuning stack that actually works in production in 2026.

Trainium2 vs Inferentia2: When AWS Custom Silicon Beats H100

Mon, 01 Jun 2026 00:00:00 GMT

2TB HBM fits Llama 70B on one Trainium2 host: EKS + SageMaker numbers, NeuronLink collectives, Neuron SDK compile times, $0.30/M-token Inferentia2 vs H100.

Arize Phoenix 15.4.0: Open Source LLM Observability

Mon, 01 Jun 2026 00:00:00 GMT

A practitioner's guide to Arize Phoenix 15.4.0: embedding drift detection, RAG trace analysis, the agent toolset, and wiring it into a self-hosted LLM stack.

Monitor LLMs Without Per-Token Fees: 5 Open-Source Tools

Mon, 13 Apr 2026 00:00:00 GMT

Replaced our $4,200 Helicone bill with OTel + Prometheus + Grafana + Loki + Tempo — $180 flat at 10B tokens/month, PagerDuty SLOs, vLLM p99 1.4s TTFT.

Backup and Restore for Vector Databases: A Production Guide

Tue, 02 Jun 2026 00:00:00 GMT

How Pinecone, Weaviate, Qdrant, Milvus, and Chroma handle backup, restore, PITR, and disaster recovery — with concrete RTO/RPO numbers and a runbook.

Inference API Gateways 2026: LiteLLM vs BentoML vs Ray Serve

Thu, 04 Jun 2026 00:00:00 GMT

A practitioner's comparison of three inference gateway and serving stacks — LiteLLM, BentoML, and Ray Serve — when to use each, and the limits.

Beyond the Stack Trace: AI Debugging Paradigm

Sat, 13 Jun 2026 00:00:00 GMT

Why stack traces fail for non-deterministic AI. The 4 prompt-trace primitives, 5-step workflow, and verifier pattern that replaces the stack trace in 2026.

MCP Enterprise Authorization 2026: The Missing Auth Layer

Wed, 24 Jun 2026 00:00:00 GMT

Cloudflare, Auth0, Stytch and Stargate ship MCP server auth primitives in 2026. OBO flow, OAuth scopes, audit logs, rate limits, residency.

Agent Evidence Packet Analytics 2026: The Audit Trail

Tue, 11 Aug 2026 00:00:00 GMT

EU AI Act Article 12 compliance: the 5-tuple evidence-packet schema, Sigstore Rekor for agent decisions, the Codex encryption crisis, and the replay path.

AI Agent Security Posture 2026: A Practitioner's Framework

Wed, 12 Aug 2026 00:00:00 GMT

Agent security posture is not a CSPM problem. SBOM-grade agent identity, prompt supply chain, isolation primitives, and the four controls every fleet needs.