FinOps Engineer

Why should you attend?

This course provides a comprehensive exploration of optimizing cloud infrastructure and applications using Google Cloud's advanced tools and strategies. Participants will begin by delving into the Google Cloud Recommender, learning how to retrieve actionable insights for resource optimization. This includes enhancing security measures and reducing costs effectively. Through hands-on labs, learners will gain practical experience in optimizing network expenditures. The curriculum further explores the intricacies of Google Cloud Networking, focusing on the differences between Premium and Standard service tiers. Students will evaluate virtual machine latency and network paths to configure networks that maximize cost efficiency. Practical labs reinforce these concepts, ensuring participants can apply their knowledge in real-world scenarios. A significant portion of the course is dedicated to mastering Google Kubernetes Engine (GKE). Learners will understand GKE autoscaling fundamentals and explore cost-optimized configurations for Kubernetes applications. Advanced autoscaling strategies are also covered, providing insights into monitoring and enforcing policies within GKE environments. Finally, the course addresses cost monitoring and governance, equipping students with tools to manage cloud expenses effectively. By developing governance models and implementing policy-based automation, participants will be prepared to tackle multi-cloud FinOps challenges. The program concludes with a case study that synthesizes all learned concepts into a cohesive FinOps strategy.