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This repo includes Books and imp notes related to GCP, Azure, AWS, Docker, K8s, and DevOps. More, exam and interview prep notes.
The main features of ahmedtariq01/cloud-devops-learning-resources are: DevOps and Infrastructure.
Projects with overlapping indexed features include: 4everland/4everland-hosting-mcp — A Model Context Protocol (MCP) server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated… activepieces/activepieces — Activepieces is an open-source, self-hosted workflow automation platform designed to connect third-party applications… ahmedamsaleh/free-devops-books-1. aiven-open/mcp-aiven — Model Context Protocol server for Aiven. aliyun/alibabacloud-devops-mcp-server — Yunxiao MCP Server provides AI assistants with the ability to interact with the Yunxiao platform. It provides a set of… 21st-dev/magic-mcp — Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions…
A Model Context Protocol (MCP) server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave.
Activepieces is an open-source, self-hosted workflow automation platform designed to connect third-party applications through modular triggers and actions. It provides a low-code integration framework that allows users to build, manage, and execute complex business logic sequences within isolated, sandboxed environments. The platform distinguishes itself through its focus on embeddability and enterprise-grade security. It features an embedded automation builder that can be integrated into external applications via iframes, supported by comprehensive identity and access management tools such a
Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions into functional user interface code. It acts as an LLM design orchestrator, producing responsive web elements and layouts anchored on utility-first CSS styling patterns. The system features a side-by-side variation engine that generates multiple stylistic interpretations of a single prompt for comparative selection. It incorporates SVG-based asset integration for branding and iconography and utilizes template-based assembly to combine pre-defined style patterns with user-speci