This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling. … [Read more...] about Understanding and Combining GKE Autoscaling Strategies
Cloud Computing
Implement the User Experience for your AppSheet App
This is a Google Cloud Self-Paced Lab.. In this lab, you'll use AppSheet to implement the UX components in your app. … [Read more...] about Implement the User Experience for your AppSheet App
DevOps and AI on AWS: AIOps
In this course, we focus on how we can use AI techniques to improve our DevOps operational efficiency. We have added AI features to our applications, now it’s time to do the same for our DevOps processes. With our travel guide now in production, let’s dive into the challenges we’ll face as we scale – and how we can mitigate those challenges. As we scale, we’ll undoubtedly … [Read more...] about DevOps and AI on AWS: AIOps
Managing NetApp Cloud Volumes ONTAP for Google Cloud with Advanced Tools
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to leverage additional management tools available with Cloud Volumes ONTAP for Google Cloud. … [Read more...] about Managing NetApp Cloud Volumes ONTAP for Google Cloud with Advanced Tools
'' BigQuery RAG
This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, … [Read more...] about '' BigQuery RAG
