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GCP DevOps Project
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What you’ll learn
- Get an inside look into how the DevOps lifecycle is implemented in top companies and gain valuable insights into the best practices and tools used to deliver software quickly and reliably.
- Take your Kubernetes skills to the next level by setting up a Python Flask application and deploying it like a pro.
- Set up a proper CI/CD process to enhance your developer experience and streamline software delivery from development to production.
- Gain a deep understanding of the key deliverables in each sprint and learn how to plan and review them using industry-standard terms effectively.
- Impress potential employers and ace your next job interview.
Our students work at..
Description
Are you ready to upgrade your DevOps to a whole new level? If so, this course is perfect for you!
You may already be familiar with the term “DevOps lifecycle” and its different stages, including planning, development, testing, deployment, and monitoring. But have you ever wondered how these stages are implemented in real-world organizations?
If so, this course has got you covered.
In this hands-on course, we’ll walk you through an end-to-end DevOps project in a sprint format, practically implementing the setup on a GCP cloud environment.
Are you ready to take your DevOps skills to the next level and impress potential employers in your next interview?
Then, join us on this exciting journey and gain an in-depth idea of a real-world DevOps project setup.
Prerequisites
All you need is a basic understanding of:
- Linux
- Docker
- Kubernetes
- CI/CD
- Github
Take advantage of this incredible opportunity to advance your DevOps career today!
What our students say
About the instructor
Raghunandana Krishnamurthy is a seasoned Staff Data Engineer and MLOps expert, skilled in navigating both GCP and AWS cloud platforms to accelerate model development and deployment. His experience spans modernizing legacy data systems, architecting hybrid infrastructures, and ensuring data quality for diverse applications. He used to hold Associate AWS Solution Architect certification, Cloudera Hadoop Admin certification, Airflow certification, and Databricks Lakehouse certification
A technical leader and passionate trainer, Raghunandana excels at building and maintaining big data platforms, championing DevOps best practices, and fostering team alignment. With hands-on expertise in tools like SageMaker, VertexAI, Prometheus, Grafana, and extensive DevOps tools focusing on Data Engineering and MLOps.
Introduction
Sprint-01
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Sprint-03
Sprint-04
Sprint-05
Sprint-06
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Conclusion
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