Istio lets you manage, secure, and observe the communication between distributed software components. Learn how the service mesh architecture builds on Docker and Kubernetes to provide seamless control over how your services talk to each other.

Master the management of cloud-native applications on Kubernetes. Explore container orchestration, microservices architecture, and cloud-native tools that streamline app deployment, scaling, and operations in the cloud.

This course covers all important aspects of Stackdriver monitoring, which works across all Google Cloud Platform resources, making it convenient to set up uptime checks, profiling, and integration with other cloud platforms, and monitoring tools.

Learn how to deploy and maintain applications using Kubernetes Controllers. In this course you'll learn how to select a Controller for your workload, deploy it, and maintain your container-based applications in your Kubernetes cluster.

The Stackdriver suite of products spans all important operational administration aspects on the GCP. This course focuses on logging, tracing, error handling, debugging, uptime monitoring, profiling and performance.

It's time to dig deeper into Kubernetes. You will learn about its API architecture and its internals, how to organize workloads, and look closely at the primary workload element in Kubernetes, the Pod.

With Microsoft Azure, you can build full stack Node.js applications in the cloud. This course will teach developers with experience in AWS to adjust to the differences in the Microsoft Azure environment.

Being prepared for an exam is key to being able to give it your best. This course will teach you what to expect for your AZ-304 exam experience.

Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations.

Docker can help you bring your existing applications into the modern world. This course teaches you how to run full .NET applications in Windows containers, modernize the architecture, and deploy to the cloud.

The two key components of any data pipeline are data lakes and warehouses.

Course one of the Architecting Hybrid Cloud with Anthos series introduces participants to manage multi-cloud and hybrid Kubernetes deployments using Anthos.