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Adidas engineers describe shifting from a centralized Infrastructure-as-Code model to a decentralized one. Five teams autonomously deployed over 81 new infrastructure stacks in two months, using layered IaC modules, automated pipelines, and shared frameworks. The redesign illustrates how to scale infrastructure delivery while maintaining governance at scale.
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.
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.
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.
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.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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From Central Control to Team Autonomy: Rethinking Infrastructure Delivery
Adidas engineers describe shifting from a centralized Infrastructure-as-Code model to a decentralized one. Five teams autonomously deployed over 81 new infrastructure stacks in two months, using layered IaC modules, automated pipelines, and shared frameworks. The redesign illustrates how to scale infrastructure delivery while maintaining governance at scale.
By Leela KumiliGoogle 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 AlfordGoogle 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 RisiAWS 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 WiggersGoogle 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