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InfoQ Reading List

Google Publishes Scaling Principles for Agentic Architectures

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used to select an optimal agentic architecture for a given task.

By Anthony Alford

Google Cloud Brings Full OpenTelemetry Support to Cloud Monitoring Metrics

Google Cloud recently unveiled broad support for the OpenTelemetry Protocol (OTLP) in Cloud Monitoring, marking a step toward unifying telemetry collection across its observability stack.

By Craig Risi

AWS Launches Agent Plugins to Automate Cloud Deployment

AWS launched Agent Plugins for AWS, providing AI coding agents with specialized deployment skills. The initial deploy-on-aws plugin transforms workflows by accepting commands like "deploy to AWS" and generating complete pipelines with architecture recommendations, cost estimates, and infrastructure code. Supported in Claude Code and Cursor, AWS claims 10-minute deployments versus hours manually.

By Steef-Jan Wiggers

GitHub's Points to a More Global, AI-Challenged Open Source Ecosystem in 2026

GitHub has released its yearly look at open-source trends. They used data from the Octoverse 2025 report to help the open-source community get ready for the coming year. The picture that emerges is one of extraordinary scale and the structural strains that come with it.

By Claudio Masolo

Google Enhances Node Pool Auto-Creation Speed for GKE Clusters

Google Cloud has optimised GKE's node pool auto-creation, significantly cutting "Time to Ready" for massive clusters. By improving control plane communication and request batching, GKE now provisions resources faster, rivalling tools like Karpenter. The update enhances scaling reliability and stability for high-volume AI and batch workloads, automatically rolling out across supported versions.

By Mark Silvester

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