Cloud Engineering Roadmaps for AWS Azure and GCP

4noobs is an open-source educational resource index that organizes structured, beginner-friendly learning paths across a wide range of technology domains. It delivers all content as static Markdown files managed under Git version control, with a curated-index-based navigation system that groups tutorials and roadmaps by technology domain into separate silos. The project provides step-by-step learning roadmaps for programming languages from Assembly to TypeScript, along with framework guides for tools like Angular, Vue, Django, and Spring. It includes certification preparation guides aligned with industry credentials such as the Linux Professional Institute certification, and offers tutorials for operating systems, database management, and development tools like Git, Docker, and Vim. The resource also covers automation testing frameworks including Selenium, Cypress, and Playwright, as well as UI/UX design principles and software quality topics. The content is structured to allow non-linear exploration through internal hyperlinks connecting related roadmaps and tutorials. The entire curriculum is version-controlled, enabling collaborative updates and historical tracking of changes to the learning materials.

This project is a Kubernetes certification training course and cluster administration guide. It provides an educational program and instructional materials designed to prepare students for the Certified Kubernetes Administrator professional exam. The project functions as an exam simulator and troubleshooting lab, offering mock exams and lightning labs that mimic the practical challenges of the certification process. It includes hands-on practice environments for resolving configuration, storage, and networking issues. The training covers the management of cluster architecture, scheduling, and security. This includes practicing the configuration of network policies and traffic rules to secure communication between workloads.

This project is a Kubernetes certification study guide and hands-on lab designed to prepare candidates for the Certified Kubernetes Application Developer exam. It provides a containerized learning sandbox and a resource validator to simulate real-world cluster configuration challenges. The environment uses scenario-based learning modules that require the implementation of pods, network policies, and persistent volumes. Correctness is verified through automated cluster queries that check the state of resources against defined expectations. The exercises cover a broad capability surface including Kubernetes networking configuration, state management, and general application development using declarative YAML configurations.

This project is a comprehensive educational curriculum designed to build proficiency across modern infrastructure, cloud-native technologies, and systems administration. It functions as a reference library and interview preparation resource, offering a structured collection of conceptual questions, practical coding challenges, and hands-on scenarios that cover the full spectrum of software delivery and operational workflows. The repository distinguishes itself through a modular, domain-specific structure that links instructional problem statements with verified implementation examples. By employing a standardized documentation schema, it provides a predictable learning path for mastering complex technical concepts, ranging from infrastructure-as-code patterns and container orchestration to cloud platform administration and security best practices. The content spans a wide array of technical domains, including automated configuration management, distributed system monitoring, database operations, and version control. It provides deep dives into specific tooling for cloud provisioning, container networking, and service deployment, ensuring that learners can validate their technical skills through isolated, practical exercises. All instructional materials are organized into a unified taxonomy of markdown-based documents, allowing users to navigate and study specific technical topics at their own pace.

DevOps-Roadmap is a comprehensive educational repository and knowledge base designed to guide technical professionals through the complexities of modern software engineering. It functions as a structured curriculum and reference library, covering the full spectrum of skills required to master system architecture, infrastructure management, and cloud operations. The project distinguishes itself by bridging the gap between high-level architectural design and the practical realities of engineering leadership. It provides curated insights into distributed systems, data consistency, and scalable design patterns, while simultaneously offering frameworks for managing high-performing teams, navigating corporate dynamics, and fostering psychological safety within technical organizations. Beyond core architecture, the repository encompasses a broad capability surface that includes professional development, productivity optimization, and the integration of emerging technologies. It offers guidance on implementing AI-driven workflows, managing large-scale machine learning lifecycles, and applying evidence-based metrics to track team performance and development health. The repository serves as a centralized resource for engineers at all career stages, providing access to industry-standard principles, technical interview preparation materials, and strategic coaching frameworks.

Developer Roadmap is a community-driven platform that provides structured, graph-based learning paths for software engineering. It serves as a comprehensive knowledge repository where technical domains are organized into visual sequences to guide professional skill acquisition and career growth. The project distinguishes itself through a collaborative ecosystem that enables users to contribute roadmaps, curate industry best practices, and maintain professional profiles. It integrates diagnostic assessment frameworks to evaluate technical proficiency, helping developers identify knowledge gaps and prepare for professional interviews through targeted learning sequences. Beyond its core mapping capabilities, the platform offers practical project ideas and interactive tutoring to reinforce engineering concepts. It provides a centralized space for the community to share resources, track progressive skill development, and navigate complex technical landscapes.

Azure-zero-to-hero is a comprehensive learning path and technical curriculum designed for mastering cloud infrastructure, security, and deployment on Azure. It consists of a series of courses, guides, and training modules that provide a structured approach to learning the Azure ecosystem. The project provides practical walkthroughs and tutorials covering the orchestration of containerized applications via Kubernetes, the construction of CI/CD pipelines using Azure DevOps, and the provisioning of core infrastructure including virtual machines and virtual networks. It also includes dedicated training for implementing role-based access control and managing sensitive credentials. The curriculum covers broader capability areas such as serverless workflow automation, cloud resource monitoring, and network security configuration. It demonstrates the use of declarative templates for infrastructure deployment and the integration of centralized secret vaulting.