A new guide details how to monitor LLM inference in production using Prometheus and Grafana, covering metrics like tokens/sec, queue duration, and KV cache pressure for servers such as vLLM, TGI, and …
The AI supply chain introduces new failure modes where data poisoning and model tampering produce wrong predictions indistinguishable from correct ones, requiring the same signature-and-lineage treatm…
Tekyous launched an interactive tech stack builder that lets developers browse hundreds of tools, get AI-driven stack recommendations, and build visual architecture diagrams. The platform includes a s…
A developer integrated Astro 5 content collections into the programmatic site Open Alternative To, enabling editorial takes for 3 of 18 indexed pages while leaving the rest unchanged. The pattern uses…
AI agents fail to scale due to engineering challenges—not AI limitations—including unpredictable user behavior, inaccessible enterprise data, multi-agent orchestration failures, lack of business-speci…
A GPU training pipeline at a major AI company breached its SLA despite showing 97% GPU utilization across all monitoring tools (Datadog, Grafana, nvidia-smi). Using eBPF kernel tracing, an SRE identif…
A developer built a cost-attribution system for LLM usage by tagging every gateway span with `team.id`, `project.id`, and `feature.id` alongside OpenInference token-count attributes, shipping those sp…
A developer who spent years in accounting and finance has applied ledger-based discipline to production incidents, building AlertEngine as an operational governance system rather than a monitoring too…
MonVisor 0.1.0, an AI-augmented tool for generating Prometheus, Alertmanager, and Grafana monitoring configurations, has been released. The free-tier CLI scans a network, fingerprints services, and us…
Grafana Labs competes directly with Datadog by charging across five usage meters—metrics, logs, traces, profiles, and k6 load tests—while marketing against Datadog's opaque overage bills. The company …
Packt Publishing released a code repository for "Operational AI with Docker: LLMOps, Agents and Multi-Model Systems with Docker and Kubernetes," providing hands-on examples for building and deploying …
A developer built a Transformer-based time-series forecaster using PyTorch to predict blood glucose levels 30 minutes in advance from Continuous Glucose Monitoring (CGM) data. The model, which uses se…
The client-facing dashboard is dead for outcome-based AI services, replaced by an email-first "Acknowledgment Loop" that measures trust and engagement through client replies. Pull-based dashboards bur…
InfraPulse, an open-source tool that simplifies deploying a production observability stack—including Prometheus, Grafana, Loki, and Alertmanager—by embedding all configuration into a single Go binary,…
A company building an AI-driven "agentic OS" for DevOps is hiring a remote DevOps Content Engineer based in Latin America. The role requires 3–5 years of DevOps/SRE experience and involves creating te…
Convergent infrastructure requirements for the foundation model lifecycle—including tightly coupled accelerator compute, high-bandwidth networking, and distributed storage—and highlights the growing r…
The article is a sarcastic, first-person account of the author's experience at GrafanaCon 2026 in Barcelona. Despite claiming to "hate" the conference, the author details that it was incredibly well-o…
Technical guide for setting up OpenTelemetry (OTEL) telemetry from Claude Code to Prometheus and Grafana to track AI coding productivity metrics. It details the configuration steps, including enabling…