Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural patterns, domain ownership models, deterministic guardrails, and tracing-based evaluation strategies, detailing hard-learned lessons on drawing agent boundaries, optimizing tool schemas, and managing costs while avoiding monolithic agent pitfalls. By Pratik Rasam
European organisations can enhance their technological sovereignty by developing credible alternatives and acquiring necessary skills, rather than completely avoiding global providers. A panel discussion at the OSS EU highlighted the importance of understanding dependencies in cloud and hardware, and emphasized the need for practical choices in software for effective operational sovereignty. By Olimpiu Pop
During its recent “Birthday Week”, Cloudflare announced Clef, a set of open-weight AI models designed to choose between predefined options rather than generate text. Cloudflare released 9B- and 27B-parameter models, along with a platform for adapting them to specific decision-making tasks. By Renato Losio
A survey conducted by independent research firm Coleman Parkes on behalf of Undo, a company focused on scaling AI-powered root-cause analysis, found that while AI coding agents have accelerated code generation, they have shifted the primary bottleneck to debugging, code comprehension, and maintenance. By Sergio De Simone
At Embedded Linux Conference Europe 2026, Wolfram Sang discussed the Linux building blocks for asymmetric multiprocessing (AMP). He highlighted the solid foundation but noted challenges like limited contributor coverage and fragmented testing. Sang's work on a hardware-spinlock driver revealed maintenance complexities and the need for more reviewers and testers to support evolving AMP systems. By Olimpiu Pop
Grab migrated its high-volume Counter Service from a wide column database to Aerospike using storage abstraction, shadow traffic, data parity validation, and gradual traffic migration. The redesigned data model consolidated time buckets into map-based records. Grab reports about 50% lower production p99 read latency, 1 TB versus 3 TB of disk usage, and 45% to 50% lower cost per node. By Leela Kumili
On October 14, InfoQ hosts a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human approval, how to verify AI-generated changes, sensitive-data exposure, and production RAG. Registrants can submit questions and will receive the recording. By Artenisa Chatziou
Hannah Foxwell shares how the surge of agentic coding forces engineering leaders to rethink team dynamics. She discusses three key anchors for navigating AI-driven velocity: building software worth building, prioritizing automated safety over speed, and preserving the human element through generalist "broken comb" skillsets and sustainable on-call practices. By Hannah Foxwell
The article describes a custom implementation that provides a session-level ordering on top of Apache Kafka partitions, supporting strict message ordering across 1000s of independent channels. The solution required application-level routing, consistent hashing, retries, and contiguous watermark commits. Engineers conducted operational hardening supported by extensive performance testing. By Joshua Oluikpe
Cloudflare placed frontier AI models inside a controlled testing harness to probe its Web Application Firewall (WAF), using blocked attacks as starting points for models to generate and refine new variations. By Matt Foster
Google has made Spanner Omni generally available, running its distributed SQL database on-premises, across clouds or on a laptop. Doing so meant replacing Colossus with a Colossus-like abstraction layer and TrueTime with software-based time synchronization. There is no availability SLA, and practitioners are pricing the move in tail latency and operational toil. By Steef-Jan Wiggers
OpenTelemetry has promoted its Kubernetes Attributes Processor to v1.0.0, marking a significant step in making Kubernetes telemetry more predictable and stable across observability pipelines. By Craig Risi
