21 DevOps Self-Paced Projects

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Explore 21 self-paced DevOps projects designed to build hands-on skills across automation, cloud, CI/CD, and infrastructure management. Each project offers practical scenarios and real-world tasks, allowing learners to master essential DevOps tools and workflows at their own pace.

Capstone Project

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This project aims to build a scalable and fault-tolerant Image Sharing WordPress Application that can handle high traffic and is always available.

Site Reliabiliity Engineer

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Explore the principles and practices of Site Reliability Engineering, focusing on automating operations, improving system reliability, and aligning development with operations through metrics like SLAs, SLOs, and SLIs.

Cloud Security

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This lesson introduces the fundamentals of cloud security, covering key concepts like data protection, identity management, compliance, and threat mitigation across major cloud platforms.

Platform Engineering

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This lesson introduces Platform Engineering, focusing on building internal developer platforms that streamline infrastructure, improve developer productivity, and support scalable software delivery.

Cloud Essentials

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Gain a foundational understanding of cloud computing, including core concepts, service models, and deployment strategies. Learn how cloud platforms enable scalability, flexibility, and cost efficiency for modern IT environments.

Chaos Engineering

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Learn the fundamentals of Chaos Engineering and how to build resilient systems by intentionally injecting failures. This course covers key principles, tools, and best practices to help you proactively identify weaknesses and improve system reliability.

Monitoring, Logging, and Analytics

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The Monitoring, Logging, and Analytics course equips you with the skills to effectively monitor and analyze the performance, health, and behavior of your applications and infrastructure. You will learn how to implement monitoring and logging solutions to capture key metrics, logs, and events, and how to leverage analytics tools to gain insights into system performance. The course covers popular tools like Prometheus, Grafana, and ELK Stack, providing hands-on experience in setting up monitoring dashboards, log aggregation, and data visualization. By the end of the course, you’ll be able to use these tools to ensure reliability, detect issues proactively, and make data-driven decisions to improve application performance.

Containerization and Orchestration

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The Containerization and Orchestration course introduces you to the fundamentals of containerization and the tools used to manage and orchestrate containers at scale. You will learn how to package applications into lightweight, portable containers using Docker, and explore container orchestration with Kubernetes to automate the deployment, scaling, and management of containerized applications. This course provides hands-on experience with the essential tools and practices needed to build, deploy, and maintain applications in modern cloud environments, making it a must-have for anyone looking to work with microservices and cloud-native architectures.