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- Weekly Cloud Info #W22 - 2025
Weekly Cloud Info #W22 - 2025
Walid LARABI
May 30, 2025
Hi!
Some news from our favorite 3 cloud providers 🙂
Have a great read. ☕
📰 Top picks of the week
AWS Launches Aurora DSQL: A Fast and Scalable Serverless SQL Database
Amazon has launched Aurora DSQL, a serverless distributed SQL database designed for high availability and easy management. It features a unique architecture that allows for independent scaling and strong consistency across multiple regions. This database is ideal for applications in various industries, including banking and ecommerce. Developers can quickly set up and manage databases without the usual operational burdens.
AWS Introduces Model Context Protocol Servers for AI-Assisted Development
AWS has launched Model Context Protocol (MCP) servers for AWS Lambda, ECS, EKS, and Finch to enhance AI-assisted application development. These servers provide AI code assistants with real-time context for better interaction with AWS services. Developers can use natural language to describe their needs, while AI handles configurations and deployments. MCP servers also streamline operations by simplifying logging, monitoring, and security setups.
AWS Secrets Manager Introduces Cost Tracking for Secret Usage
AWS Secrets Manager now allows users to track and allocate costs for secret usage by using cost allocation tags. Customers can categorize expenses by department, team, or application. This service helps manage and retrieve credentials securely, replacing hard-coded credentials in applications. The new feature is available in all regions where Secrets Manager operates.
AWS Launches AI on EKS for Optimizing AI/ML Workloads
AWS has launched "AI on EKS," an open-source initiative to help customers deploy and optimize AI/ML workloads on Amazon Elastic Kubernetes Service (EKS). This project offers deployment-ready blueprints, infrastructure templates, and best practices for managing large language models and other AI tasks. It builds on the existing "Data on EKS" initiative and aims to simplify infrastructure setup for MLOps teams while addressing operational challenges in scaling AI systems. The initiative is hosted on GitHub and focuses on enhancing interoperability between data and AI workloads.
New GCP Models: Enhance Creativity with Imagen 4, Veo 3, and Lyria 2
Google has launched new generative AI models on Vertex AI, including Imagen 4 for text-to-image generation, Veo 3 for video creation, and Lyria 2 for music generation. These models enhance storytelling capabilities, allowing users to create high-quality images, videos, and audio content more efficiently. Imagen 4 offers improved text rendering, image quality, and multilingual support. Users can start utilizing these advanced tools to produce creative campaign assets quickly.
GCP Enhances Data Analysis with Vertex AI and BigQuery Integration
Google Cloud's Vertex AI now integrates with BigQuery, allowing users to analyze unstructured data like images and videos using advanced AI models. The new AI.GENERATE_TABLE() feature automates the conversion of insights into structured tables for easier analysis. Users can leverage $300 in free credits and monthly free usage of over 20 products. An example demonstrates how to analyze city images and extract relevant information using the Gemini 2.5 Flash model.
GCP Enhances AI Inference with vLLM Support and New llm-d Project
Google Cloud is enhancing AI inference capabilities with full vLLM support for Cloud TPUs and Kubernetes. The new llm-d project aims to improve efficiency and cost-effectiveness in AI workflows. It features an innovative inference scheduler for better resource management. Customers can also benefit from $300 in free credits to test their AI solutions.
Azure Introduces Private Subnet Feature for Enhanced Security
Azure has launched private subnet functionality, enhancing security by preventing default outbound public IP addresses for new virtual networks. Users can now choose explicit outbound connectivity methods like NAT Gateway. Starting September 30, 2025, new virtual networks will automatically use private subnets. Existing networks and virtual machines will remain unaffected.
New Granular RBAC Feature in Azure Monitor Enhances Data Access Control
Azure Monitor Log Analytics has introduced Granular RBAC in public preview, allowing organizations to control data access at a detailed level. Users can now specify which tables and rows individuals can access based on defined criteria, enhancing data security. This feature supports a variety of attributes for scoping access, ensuring users see only the data relevant to them. Learn how to set it up for your organization.
Azure Enhances Real-Time Data Streaming with Server-Sent Events
Azure Application Gateway now supports Server-sent events in preview, allowing real-time data streaming from server to client. This technology uses server push on a persistent HTTP connection for continuous updates. Implementing it requires specific configurations on both the application gateway and the backend application. Explore these settings to utilize Server-sent events effectively.
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