Announcing etcd v3.6.0 (10 minute read)
etcd v3.6.0 has been released, marking the first minor release since v3.5.0 in June 2021, with key updates including the removal of the --enable-v2 flag, full downgrade support, and a reduction of average memory consumption by at least 50%. Performance improvements of approximately 10% in both read and write throughput were also introduced. etcd has joined Kubernetes as a SIG (sig-etcd) to improve project sustainability.
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Kubernetes v1.33: In-Place Pod Resize Graduated to Beta (4 minute read)
The in-place Pod resize feature for Kubernetes, initially introduced in v1.27, has been promoted to Beta and will be enabled by default in the v1.33 release. This feature allows for changing CPU and memory resources allocated to containers within a running Pod, often without requiring a restart, and unlocks vertical scaling benefits alongside Kubernetes' horizontal scaling capabilities.
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GitLab 18 Released (2 minute read)
GitLab 18 introduces native AI integration and major enhancements across DevOps, security, and compliance workflows, including built-in artifact management, optimized CI/CD pipelines, and expanded security controls like custom compliance frameworks and reachability analysis. GitLab Premium customers can now access AI features such as Code Suggestions and Chat at no additional cost and purchase Duo Enterprise without upgrading to GitLab Ultimate.
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How to build and deliver an MCP server for production (3 minute read)
Developers face significant challenges adopting the Model Context Protocol, including runtime complexity, security risks, discoverability issues, and trust concerns, which hinder tool integration with LLMs. Docker resolves these issues by offering a centralized and dynamic runtime environment with a catalog system and secret management, simplifying MCP deployment and enhancing tool reliability.
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How we built Cloud WAN to support businesses amid the rise of AI (4 minute read)
Google has made its global wide area network, developed over 25 years and spanning millions of miles of fiber and dozens of subsea cables, available to external customers for the first time through Cloud WAN. This high-reliability network, designed to support AI-scale demands and already used by companies like Nestlé, enables a faster and cost-effective enterprise connectivity across cloud and internet services.
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Pyrefly (GitHub Repo)
Pyrefly is a fast Python type checker and IDE, written in Rust, intended to replace Meta's Pyre type checker by the end of 2025.
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DevGenius (GitHub Repo)
DevGenius, an AI-powered application that uses Amazon Bedrock and Claude AI models, was created to transform project ideas into ready-to-deploy AWS solutions. The application allows users to design solution architectures conversationally, upload images of existing architectures, generate cost estimates, and create CDK or CloudFormation templates, along with comprehensive technical documentation.
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Lumier (GitHub Repo)
Lumier is an interface for running macOS virtual machines with minimal setup. It uses Docker as a packaging system to deliver a pre-configured environment that connects to the lume virtualization service running on your host machine.
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MCP: future automation killer or a promise to be kept? (5 minute read)
The Model Communication Protocol (MCP) is emerging as a standardized way to connect tools, resources, and prompts to language models, enabling smarter and more automated processes, but it still requires development before being production-ready, especially for larger companies. While much is still undefined, MCP promises easier access to new models and standardization, which could be vital for organizations that want to retain their competitive advantage in the AI era.
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How to enhance your application resiliency using Amazon Q Developer (8 minute read)
Amazon Q Developer helps software teams improve application resiliency by offering tailored architectural redesigns, disaster recovery strategies, and failure testing workflows based on business objectives and AWS best practices. By applying these AI-driven recommendations, a basic single-AZ application was transformed into a multi-AZ, auto-scaling, and highly available system with enhanced performance, security, and fault tolerance.
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