Weekly intelligence on LLMOps, FinOps, and AI infrastructure for practitioners.https://stackpulsar.com/en-ushttps://stackpulsar.com/blog/opentelemetry-ai-inference-tracinghttps://stackpulsar.com/blog/opentelemetry-ai-inference-tracingHow to instrument AI inference pipelines with OpenTelemetry — trace propagation for vLLM, LangChain, and RAG systems, AI-specific span attributes, and the collector architecture for production LLM observability.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/agentic-observabilityhttps://stackpulsar.com/blog/agentic-observabilityA 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.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-context-window-optimizationhttps://stackpulsar.com/blog/llm-context-window-optimizationA practical guide to reducing LLM inference costs by 40-70% using semantic truncation, context compression, dynamic sizing, and hybrid retrieval - with code examples.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/multimodal-llm-monitoringhttps://stackpulsar.com/blog/multimodal-llm-monitoringHow 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.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/gpu-monitoring-ai-inferencehttps://stackpulsar.com/blog/gpu-monitoring-ai-inferenceMonitor GPU utilization, VRAM, temperature, and power draw for AI inference. Covers DCGM, Prometheus, Kubernetes GPU scheduling, MIG partitioning, and cost optimization.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-evaluation-frameworkshttps://stackpulsar.com/blog/llm-evaluation-frameworksEvaluation is the gap between 'LLMs working in demos' and 'LLMs working in production.' Here's the complete framework stack: RAGAS for retrieval-grounded assessment, TruLens for causal attribution tracking, and the architecture patterns that make automated LLM evaluation reliable enough to gate deployments.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-monitoring-stack-tutorialhttps://stackpulsar.com/blog/llm-monitoring-stack-tutorialA practical guide to instrumenting LLM applications with OpenTelemetry, scraping metrics with Prometheus, and visualizing token costs, latency, and quality signals in Grafana dashboards.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/rag-observabilityhttps://stackpulsar.com/blog/rag-observabilityA practical guide to monitoring RAG pipelines in production — retrieval precision, context utilization, answer faithfulness, embedding drift, and the metrics that actually predict user satisfaction.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/reserved-instances-savings-plans-2026https://stackpulsar.com/blog/reserved-instances-savings-plans-2026Save up to 72% on AWS GPU instances with Savings Plans vs Reserved Instances. Includes coverage analysis, Auto-Refit strategy, and GPU-specific recommendations for AI workloads.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/ai-model-monitoring-vs-apmhttps://stackpulsar.com/blog/ai-model-monitoring-vs-apmMonitoring an LLM-powered application is fundamentally different from monitoring a traditional web service. This guide breaks down the key differences and what it takes to build an effective AI monitoring practice on top of your existing APM foundation.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-model-drift-detectionhttps://stackpulsar.com/blog/llm-model-drift-detectionA practical guide to detecting and monitoring LLM model drift in production. Covers statistical drift detection, embedding-based methods, automated evaluation pipelines, and the tools you need to catch AI behavior degradation before it impacts users.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/terraform-vs-pulumi-ai-infrastructurehttps://stackpulsar.com/blog/terraform-vs-pulumi-ai-infrastructureComparing Terraform and Pulumi for AI/ML infrastructure — dynamic GPU clusters, Kubernetes, multi-cloud routing, and the programmatic vs declarative trade-off for modern ML platforms.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/kubernetes-cost-optimizationhttps://stackpulsar.com/blog/kubernetes-cost-optimizationPractical strategies to cut Kubernetes spend by 40-60%: right-sizing nodes, Spot instance mixing, cluster autoscaling, namespace quotas, storage tiering, GPU workload optimization, and Kubecost for visibility.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/agentic-ai-infrastructurehttps://stackpulsar.com/blog/agentic-ai-infrastructureA practical guide to the infrastructure pillars of agentic AI systems: orchestration, memory management, step-level tracing, sandboxed tool execution, and security guardrails for production.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/kubernetes-ai-autoscalinghttps://stackpulsar.com/blog/kubernetes-ai-autoscalingA practical guide to autoscaling AI inference workloads on Kubernetes — KEDA for event-driven scaling, Karpenter for dynamic node provisioning, and HPA/VPA for pod-level elasticity. Includes configuration examples and FinOps perspective.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/kubernetes-monitoring-stackhttps://stackpulsar.com/blog/kubernetes-monitoring-stackPrometheus, Grafana, kube-state-metrics, and eBPF - a production-ready Kubernetes observability stack for 2026. Includes Grafana dashboard JSON and PromQL queries.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/multi-provider-llm-routinghttps://stackpulsar.com/blog/multi-provider-llm-routingSmart request routing across OpenAI, Anthropic, vLLM, Ollama, and OpenRouter based on cost, latency, and quality. Includes a comparison of routing layers, implementation patterns, and a FinOps perspective on multi-provider strategy.Fri, 10 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-cost-monitoring-toolshttps://stackpulsar.com/blog/llm-cost-monitoring-toolsStop 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.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-inference-engine-comparisonhttps://stackpulsar.com/blog/llm-inference-engine-comparisonA practical comparison of the three dominant LLM inference engines — vLLM, Text Generation Inference (TGI), and NVIDIA TensorRT-LLM — covering throughput, latency, quantization support, hardware requirements, and production deployment considerations.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/prompt-injection-detectionhttps://stackpulsar.com/blog/prompt-injection-detectionPrompt injection is an active threat in production AI systems. Here's the complete detection and prevention stack: input validation, RAG pipeline hardening, output monitoring, and model-level guardrails.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/sre-best-practices-ai-llm-systemshttps://stackpulsar.com/blog/sre-best-practices-ai-llm-systemsA 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.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-incident-postmortemhttps://stackpulsar.com/blog/llm-incident-postmortemReal 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.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-observability-guidehttps://stackpulsar.com/blog/llm-observability-guideA 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.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/mcp-monitoringhttps://stackpulsar.com/blog/mcp-monitoringA practical guide to monitoring MCP (Model Context Protocol) servers in production. Covering metrics, dashboards, alerting rules, and open-source tooling for 2026.Thu, 09 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-latency-monitoringhttps://stackpulsar.com/blog/llm-latency-monitoringA practical guide to monitoring LLM latency in production — what to measure, which tools to use, and how to correlate Time to First Token and Time Per Output Token with your user experience.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-finops-strategieshttps://stackpulsar.com/blog/llm-finops-strategiesA 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.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/ai-ml-pipeline-observabilityhttps://stackpulsar.com/blog/ai-ml-pipeline-observabilityLLMs, vector databases, and RAG pipelines introduce new failure modes. Here is how to instrument your AI stack for production reliability.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/cloud-finops-guidehttps://stackpulsar.com/blog/cloud-finops-guideA practical guide to cloud waste reduction without sacrificing performance - covering tagging strategies, reserved capacity, and cost-aware architecture.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/datadog-alternatives-2026https://stackpulsar.com/blog/datadog-alternatives-2026Datadog's pricing at scale is pushing engineering teams to explore alternatives. Here are the 5 monitoring platforms that deliver better value for LLM inference, Kubernetes, and cloud cost observability.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/ebpf-observability-guidehttps://stackpulsar.com/blog/ebpf-observability-guideeBPF 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.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-hallucination-monitoringhttps://stackpulsar.com/blog/llm-hallucination-monitoringHallucinations are the blind spot of LLM monitoring. Here's the complete detection stack: four layers, alerting architecture, and a remediation loop used by production AI teams to catch confident false statements before they reach users.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-observability-tools-2026https://stackpulsar.com/blog/llm-observability-tools-2026Three leading LLM observability platforms, head to head. Helicone, Portkey, and LangSmith compared on tracing, metrics, evaluation, pricing, and integration ecosystem. Which one belongs in your production stack?Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/llm-security-hardeninghttps://stackpulsar.com/blog/llm-security-hardeningPrompt injection, jailbreaking, and model extraction threaten production AI systems. Here's the practical hardening stack: six defense layers, detection signals, and the security monitoring architecture that keeps AI infrastructure safe.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/observability-2026https://stackpulsar.com/blog/observability-2026From semantic observability to AI-driven autonomous incident response - a comprehensive look at how monitoring has evolved in the age of agentic AI.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/open-source-llm-monitoring-stackhttps://stackpulsar.com/blog/open-source-llm-monitoring-stackBuild a production-ready LLM observability stack with OpenTelemetry, Prometheus, Grafana, and Loki - no vendor lock-in, no per-token fees.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/prometheus-vs-grafanahttps://stackpulsar.com/blog/prometheus-vs-grafanaPrometheus vs Grafana: they are not competitors - they work together. Complete 2026 guide to the observability stack: Prometheus, Grafana, Loki, Tempo, and how to deploy them on Kubernetes.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/vector-database-comparison-2026https://stackpulsar.com/blog/vector-database-comparison-2026A rigorous comparison of the three dominant vector databases for production RAG applications — covering performance, scalability, developer experience, cost, and operational trade-offs.Wed, 08 Apr 2026 00:00:00 GMThttps://stackpulsar.com/blog/vllm-production-monitoringhttps://stackpulsar.com/blog/vllm-production-monitoringGPU cache utilization, KV cache hit rate, TTFT/TPOT metrics, and a complete Prometheus + Grafana monitoring setup for vLLM inference servers — updated for v0.19.Wed, 08 Apr 2026 00:00:00 GMT