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Source channel @githubtrending · Post #15102 · Aug 29

#csharp The Model Context Protocol (MCP) is an open standard that lets AI models connect easily and securely to external data sources and tools, like business systems or cloud services. It acts like a universal adapter, enabling AI to access the right context and data to perform tasks accurately and efficiently. Microsoft offers many MCP servers that link AI with services such as Azure DevOps, SQL databases, Microsoft 365, and more, allowing AI to interact naturally with your data and workflows. This helps you get smarter AI assistance, better automation, and easier integration across your tools. https://github.com/microsoft/mcp

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@githubtrending · Post #14992 · 07/23/2025, 01:00 PM

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#go#aws#azure#cncf#cost#cost_optimization#finops#gcp#k8s#kubernetes#monitoring#opencost#prometheus OpenCost is a free, open-source tool that helps you see and understand the costs of running Kubernetes clusters and cloud services in real time. It breaks down costs by cluster, node, namespace, pod, and more, across multiple cloud providers like AWS, Azure, and GCP, and even supports on-premises setups. This lets you track where your money is going, spot expensive resources, and manage your cloud spending better. It integrates with Prometheus for metrics and offers a user-friendly web interface and APIs for easy cost monitoring and exporting. Using OpenCost helps you control and optimize your cloud and Kubernetes expenses efficiently[1][2][3][4]. https://github.com/opencost/opencost

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#go #aws #azure #cncf #cost #cost_optimization #finops #gcp #k8s #kubernetes #monitoring #opencost #prometheus