Build End to End Micro Services Application Use Case with Docker, Kubernetes, Jenkins, Ansible. Learn end to end Devops.
β±οΈ Length: 14.3 total hours
β 4.63/5 rating
π₯ 14,888 students
π April 2025 update
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Course Overview
- This comprehensive bootcamp is meticulously designed to immerse you in the dynamic world of DevOps, offering a hands-on journey from conceptual understanding to practical implementation of modern software delivery pipelines.
- Explore the transformative shift in software development culture and methodologies, enabling seamless collaboration and continuous innovation across development and operations teams.
- Gain a holistic perspective on building, deploying, and managing complex microservices architectures, ensuring high availability, scalability, and resilience in production environments.
- Unravel the secrets behind accelerating release cycles and enhancing software quality by integrating automation at every stage of the development lifecycle, from code commit to customer value.
- Prepare to master the art of infrastructure automation, declarative configurations, and containerized deployments, setting the foundation for robust and repeatable system provisioning.
- Understand how industry leaders leverage integrated tooling and cloud-native services to achieve unparalleled efficiency and agility in their software development processes.
- Transform your approach to software delivery, moving beyond traditional silos to embrace a unified, efficient, and highly automated operational framework.
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Requirements / Prerequisites
- A foundational understanding of basic programming concepts in any language (e.g., Python, Java, Go, Node.js) will significantly aid in grasping application-specific examples.
- Familiarity with command-line interfaces (CLI) and fundamental operating system concepts (Linux basics are beneficial but not strictly required) is recommended.
- An eagerness to learn complex technical concepts and apply them in practical, project-based scenarios is crucial for success in this intensive bootcamp.
- Access to a reliable internet connection and a computer capable of running virtual environments or containerization software (such as Docker Desktop) for hands-on labs.
- No prior in-depth DevOps experience is necessary; this course is structured to guide learners from intermediate knowledge to advanced practical skills.
- A curious mindset and a problem-solving attitude will be your greatest assets as you navigate the intricacies of modern distributed systems and automated workflows.
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Skills Covered / Tools Used
- Develop expertise in establishing sophisticated Continuous Integration and Continuous Delivery (CI/CD) workflows that drastically reduce manual intervention and accelerate deployments.
- Master the principles of immutable infrastructure and declarative configuration management, allowing for consistent and version-controlled environment setups.
- Cultivate proficiency in containerizing applications and orchestrating container deployments at scale, ensuring portability and efficient resource utilization across various environments.
- Acquire the ability to provision and manage cloud infrastructure using cloud-native services, enhancing the agility and scalability of your deployment pipelines.
- Gain deep insights into implementing comprehensive monitoring and alerting strategies for distributed applications, enabling proactive issue detection and performance optimization.
- Learn to design and implement centralized logging solutions that provide critical visibility into application behavior, aiding in rapid troubleshooting and operational analysis.
- Develop strong competencies in automating application builds, testing, and deployment processes across diverse technology stacks with robust orchestration platforms.
- Understand best practices for version control systems in a collaborative DevOps environment, ensuring traceability and effective teamwork.
- Formulate strategies for architecting resilient microservices ecosystems, considering aspects like service discovery, load balancing, and fault tolerance.
- Build the practical acumen required to troubleshoot complex issues within highly integrated and automated environments, from infrastructure to application layers.
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Benefits / Outcomes
- Emergence as a proficient DevOps practitioner capable of designing, implementing, and maintaining robust end-to-end automated software delivery pipelines.
- Confidence in deploying and managing scalable, resilient microservices applications across various cloud and containerized environments.
- A portfolio of practical, real-world projects demonstrating your ability to leverage industry-standard tools for CI/CD, IaC, and observability.
- Enhanced career prospects in high-demand roles such as DevOps Engineer, SRE, Cloud Engineer, or Automation Specialist within modern tech organizations.
- The ability to significantly improve software delivery speed, reliability, and quality within any development team by applying learned principles and tools.
- A deep understanding of the cultural and technical shifts required to foster a collaborative and efficient development and operations ecosystem.
- Preparedness to contribute immediately to projects requiring cloud-native solutions, container orchestration, and comprehensive system monitoring.
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PROS
- Highly Practical: The course emphasizes an “end-to-end microservices application use case,” ensuring hands-on learning that translates directly to real-world scenarios.
- Up-to-Date Content: With an “April 2025 update,” the material is current, incorporating the latest tools and best practices in the rapidly evolving DevOps landscape.
- Strong Community & Reputation: A “4.63/5 rating” from “14,888 students” indicates high student satisfaction and a robust learning community.
- Comprehensive Toolset Coverage: Explicitly mentioned tools like Docker, Kubernetes, Jenkins, and Ansible ensure a broad and relevant skill acquisition in popular industry technologies.
- Focused & Specialized: Being from “School of Devops” suggests a dedicated and expert-led curriculum, designed specifically for in-depth DevOps training.
- Efficient Learning Curve: At “14.3 total hours,” the course is designed to deliver a significant amount of high-value information efficiently, respecting learners’ time.
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CONS
- Pacing Intensity: Due to the extensive breadth of topics covered in a relatively short duration (14.3 hours), some absolute beginners might find the pace challenging for deep assimilation without additional self-study.
Learning Tracks: English,IT & Software,Other IT & Software
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