MLOps news and analysis on Web Pulse: 3513 curated articles tracking the latest MLOps developments, tools, and research, updated continuously from vetted sources.
A developer released Lich, an open-source command-line tool that orchestrates multiple independent copies of a local development stack from different worktrees in parallel. The tool, built to support the growing use of m…
ClickHouse Cloud users can now monitor query-level SLAs and automate infrastructure scaling using the open-source tool clickhousectl and AI agents. The tool enables tagging specific queries, calculating percentile-based …
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 identified the root cause i…
A developer's Grok CLI agent swarm autonomously closed 37 backlog items and landed 20 commits overnight, adding 2,838 lines of code across 51 files. However, an audit revealed the developer's own data ingest pipeline had…
A developer benchmarked four Python AI-application security scanners—Bandit, Semgrep, vulnhuntr, and getdebug—against ten hand-written Python fixtures and the simonw/llm codebase. Getdebug achieved 100% precision and rec…
A developer built a Go proxy called Trooper that sits between AI agents and large language models, reducing token usage by 89% without modifying the agent itself. The proxy replaces full conversation history with a struc…
Dropbox has unveiled Nova, an internal platform designed to orchestrate AI coding agents across its engineering workflows, enabling automated tasks such as flaky test remediation, dependency migrations, and production in…
A developer has built an LLM-free multi-agent memory architecture that connects Jira, GitHub, and commit logs to solve team memory loss in software projects. The system uses a relational and graph-based memory store with…
The AgentForge team built an open-source monitoring stack for AI agents that goes beyond traditional log streaming, offering live execution views, state inspection, and per-agent performance metrics. The system provides …
Site reliability engineers are rethinking the classic Four Golden Signals—latency, traffic, errors, and saturation—arguing these metrics fail to detect failures in AI systems where a service returns HTTP 200 but delivers…
Canonical announced that Ubuntu 26.04 LTS will include single-command installations for NVIDIA CUDA, AMD ROCm, and NVIDIA DOCA-OFED, aiming to reduce deployment friction for AI infrastructure. The company is also partner…
NVIDIA AI released Dynamo Snapshot, a checkpoint/restore system using CRIU and cuda-checkpoint to eliminate cold-start delays for AI inference workloads on Kubernetes. The system freezes a running inference worker, seria…
A 2026 career guide breaks down the distinct roles of data engineers, who build and maintain data infrastructure and pipelines, and data scientists, who analyze data and build machine learning models. The guide highlight…
InfoQ published a six-article series titled "Securing the AI Stack: From Model to Production" on June 5, 2026, outlining a roadmap for deploying resilient AI systems. The series identifies data poisoning, AI-driven phish…
Teams building AI applications are discovering that embedding pipelines for retrieval-augmented generation (RAG) systems are fundamentally a data engineering problem, not a new AI discipline. The process of ingesting, ch…
The InfoQ article series "Securing the AI Stack: From Model to Production" examines how AI's shift from experimentation to production has created a volatile security landscape defined by data poisoning, AI-driven phishin…
Mike, in collaboration with Anthropic's Claude, argues that code review does not scale to the volume of code produced by AI agents, and that validation must replace it as the primary safeguard. The engineer contends that…
A developer built a multi-tenant documentation system for CitizenApp using Astro Content Collections, replacing a headless CMS with static Markdown files versioned in Git. The system generates tenant-specific help docs a…
Stateflow Labs has released two open-source Python SDKs, ALGOgent Runtime and Adaptive Runtime, designed to solve state persistence and recovery problems in AI and automation systems. The lightweight ALGOgent Runtime pro…
OpenAI has released a guide detailing techniques for optimizing large language model outputs, including evals, prompt engineering, and fine-tuning. The company recommends developers continuously measure and tune model pe…