#What is kubernetes engine how to
#What is kubernetes engine code

Being an introductory course, we're not going to approach this from the lens of a specific role, so that means this course is intended for any engineer who wants a better understanding of GKE. Engineers of different job roles may interact with GKE in different ways. And understanding Kubernetes implies that you should be familiar with Docker, you should be familiar with Google Cloud's base services such as Compute Engine and you should be familiar with concepts surrounding high availability. Now, the prime focus is GKE, though to really teach someone about GKE it is difficult to separate the two so before taking this course there are some prerequisites which include an understanding of Kubernetes. There's a lot of knowledge overlap with the base implementation which means we'll be covering different Kubernetes functionality as well as GKE functionality. After all that we'll cap the course off with a brief demo in the console to kind of showcase some of the different functionality when learning about a managed service such as GKE. We'll follow that up with a high-level review of some of the different security aspects, then we'll move on to cover some of the different aspects of logging and monitoring and then on to a high-level review of scalability. After that, we're going to talk about how GKE implements volumes and persistent volumes. The following lesson will cover pod networking on GKE which does have its own GKE-specific implementation. The point of the cluster is to deploy workloads which is why the following lesson will cover workloads as well as a brief review of node pools. After that, we'll talk about what's involved in the cluster creation process so that we understand some of the different settings required to create a cluster. Google's managed implementation is called Google Kubernetes Engine or simply GKE.ĭuring this course, we'll start out with a high-level review of the GKE architecture and this will provide us a baseline for the rest of the course. It offers a lot of features, it's actively maintained, and most cloud vendors provide a managed implementation. Kubernetes has become the default container orchestration platform for many engineers. The goal for this course is to introduce you to some of the features and functionality that is provided by GKE. Google Kubernetes Engine (GKE) offers an open-source, fully managed environment to automatically deploy, manage, and scale your containerized applications. This course is going to be largely conceptual with demonstrations where it makes sense. Compared with the platforms like Cloud Foundry, which. This course is called Introduction to GKE and as you might expect we'll be covering some of the core functionality provided by GKE. But we have to manage Kubernetes as a team, and the overhead is a bit high. My name is Ben Lambert and I'll be your instructor for this course. Kubernetes (sometimes shortened to K8s with the 8 standing for the number of letters between the K and the s) is an open source system to deploy, scale, and manage containerized applications. Multiple forms of persistent storage are supported for stateful service data to ensure user data security.Ī wide variety of monitoring indicators enable quick analysis of service health and rapid response.Ĭustom monitoring alarms are supported for timely access to service status information.Hello and welcome.

#What is kubernetes engine how to

Learn how to use other tools on Google Cloud that interact with. Service containers can be deployed in seconds, and rolling upgrades enable uninterrupted business updates.Ĭontainers can be automatically recovered upon failure and containers in the service can be deployed across regions, enabling fast migration. Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). The service is flexible and horizontally scalable to cope with rapid business changes. Automatically discover and monitor containers in real time along with your traditional IT infrastructure. That demand growth requires cloud professionals to be proficient in Google Cloud Platform (.

#What is kubernetes engine code

Micro-services are supported, reducing code maintenance costs and meeting rapidly changing business needs. Google Cloud Platform is growing impressively in enterprise demand.

Services can be accessed through load balancing domain names or service names together with port number, circumventing the impact of IP changes when the service backend changes. Service version is controlled through templates, and the image guarantees environmental consistency, allowing for faster service migration.