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Announcement of consecutive AWS Security Hands-on sessions | Amazon Web Services Blog

Translated title. Original: AWS セキュリティハンズオン連続開催のご案内 | Amazon Web Services ブログ

AWS Japan announces weekly online hands-on security sessions starting November 2026, pairing lectures with practical labs on AWS security tools. The program, aimed at user organizations, expands an ongoing monthly workshop series and a recent security seminar, with hands-on environments provided by AWS and ongoing adjustments based on demand; Shota Umeda leads the initiative.

Opaque AI costs lead companies to rethink cloud strategies - DCD

Translated title. Original: Custos opacos da IA levam empresas a rever estratégias de nuvem - DCD

Cloud spending is a growing management challenge as AI moves into production; organizations favor open-source, hybrid architectures to rebalance workloads across public, private, and on-prem environments, aiming for cost predictability and better control, despite skill gaps and governance complexities.

GitHub - CloudOpsBench/CloudOpsBench: Open-source benchmark of real-world cloud operations tasks for evaluating AI agents: decommissions, migrations, config changes and incident fixes, each with seeded state, a grader and a reference solution. · GitHub

CloudOpsBench provides 45 AWS cloud-operations tasks for evaluating AI agents, each with setup, agent instructions, checks, and a reference solution; tasks can run against an emulator or real AWS, with a required execution harness and strict resource cleanup guidance.

Community Cloud - Your Cloud, Your Control

A K3s-based system packages core cloud functions (deployment, authentication, monitoring) with MCP integration for AI models and agents, supports customers using their own hardware, and makes disparate resources behave like one cluster.

The Role of Distributed Cloud Infrastructure in Modern Application Delivery | nasscom | The Official Community of Indian IT Industry

Distributed cloud distributes workloads across multiple locations to improve latency, resilience, and regional compliance, but introduces coordination, security, and operational complexity that require careful planning and standardized practices.

Which Workloads Should Move to the Cloud?

The document cautions against assuming mass cloud migration is best, emphasizing a structured approach: perform a cloud readiness assessment and dependency mapping, identify suitable workloads, pilot non-critical systems, and consider hybrid options. It highlights benefits of elasticity and distributed access while warning of hidden costs and downtime if dependencies are not properly understood.

New innovations in Google Distributed Cloud | Google Cloud Blog

Google Distributed Cloud now enables air-gapped deployment of frontier models, preserving data sovereignty while delivering enterprise search, open-model flexibility, and ISV apps in isolated environments. The platform combines advanced infrastructure with a growing partner ecosystem to remove the need to choose between security and performance.

Managing Data Growth Across Scalable Cloud Environments | nasscom | The Official Community of Indian IT Industry

Data growth forces cloud infrastructure to adapt; firms must design data architectures that balance performance, cost, and governance while using storage and lifecycle policies to manage dynamic workloads.

Enterprise cloud: comparison of the best solutions

Translated title. Original: Cloud d’entreprise : comparatif des meilleures solutions

The document discusses how choosing an enterprise cloud involves sovereignty, regulations, tools, and workload needs, not just cost. It compares AWS, Azure, Google Cloud with OVHcloud and Scaleway, notes three key selection dimensions (maturity, sovereignty, workload fit), and emphasizes European options and a standardized evaluation grid for fair comparison.

GitHub - Mellow-Technology/community-cloud: A k3s based Kubernetes distribution for creating reliable and performant distributed clouds · GitHub

Community Cloud is an Alpha Kubernetes platform built on K3s for distributed, multi-site infrastructure with automated storage and lifecycle management. It uses Cilium with Envoy for networking, Nebula/Tailscale for cross-site reachability, SeaweedFS for object storage, and a modular installer/CLI to provision clusters; AI usage is allowed with contributor responsibility and clear communication.