Tag: containers
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Cloud Blog: GKE under the hood: Container-optimized compute delivers fast autoscaling for Autopilot
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/container-optimized-compute-delivers-autoscaling-for-autopilot/ Source: Cloud Blog Title: GKE under the hood: Container-optimized compute delivers fast autoscaling for Autopilot Feedly Summary: The promise of Google Kubernetes Engine (GKE) is the power of Kubernetes with ease of management, including planning and creating clusters, deploying and managing applications, configuring networking, ensuring security, and scaling workloads. However, when it…
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Docker: Secure by Design: A Shift-Left Approach with Testcontainers, Docker Scout, and Hardened Images
Source URL: https://www.docker.com/blog/a-shift-left-approach-with-docker/ Source: Docker Title: Secure by Design: A Shift-Left Approach with Testcontainers, Docker Scout, and Hardened Images Feedly Summary: In today’s fast-paced world of software development, product teams are expected to move quickly: building features, shipping updates, and reacting to user needs in real-time. But moving fast should never mean compromising on quality…
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Cloud Blog: IP address management made easy: Announcing auto IPAM for GKE clusters
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-auto-ipam-simplifies-ip-address-management/ Source: Cloud Blog Title: IP address management made easy: Announcing auto IPAM for GKE clusters Feedly Summary: Managing IP addresses in Kubernetes can be a complex and daunting task — but a crucial one. In Google Kubernetes Engine (GKE), it’s important that you manage IP addresses effectively, given the resource-constrained IPv4 address…
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Docker: Building AI Agents with Docker MCP Toolkit: A Developer’s Real-World Setup
Source URL: https://www.docker.com/blog/docker-mcp-ai-agent-developer-setup/ Source: Docker Title: Building AI Agents with Docker MCP Toolkit: A Developer’s Real-World Setup Feedly Summary: Building AI agents in the real world often involves more than just making model calls — it requires integrating with external tools, handling complex workflows, and ensuring the solution can scale in production. In this post,…