6 more reasons why GKE is the best Kubernetes service. Run production-ready k8s like a pro. Create and scale CI/CD pipelines for GKE. Manage security and compliance on k8s with ease. Get an integrated view of alerts, SLOs, metrics, and logs. Manage and run Kubernetes anywhere with Anthos. ML at scale made simple.
It’s that time of the year again: time to get excited about all things cloud-native, as we gear up to connect, share and learn from fellow developers and technologists around the world at KubeCon EU 2021 next week.
Cloud-native technologies are mainstream and our creation, Kubernetes, is core to building and operating modern software. We’re working hard to create industry standards and services to make it easy for everyone to use this service. Let’s take a look at what’s new in the world of Kubernetes at Google Cloud since the last KubeCon and how we’re making it easier for everyone to use and benefit from this foundational technology.
Google Kubernetes Engine (GKE), our managed Kubernetes service, has always been about making it easy for you to run your containerized applications, while still giving you the control you need. With GKE Autopilot, a new mode of operation for GKE, you have an automated Kubernetes experience that optimizes your clusters for production, reduces the operational cost of managing clusters, and delivers higher workload availability.
“Reducing the complexity while getting the most out of Kubernetes is key for us and GKE Autopilot does exactly that!” - STRABAG BRVZ
Customers who want advanced configuration flexibility continue to use GKE in the standard mode of operation. As customers scale up their production environments, application requirements for availability, reducing blast-radius, or distributing different types of services have grown to necessitate deployment across multiple clusters. With the recently introduced GKE multi-cluster services, the Kubernetes Services object can now span multiple clusters in a zone, across multiple zones, or across multiple regions, with minimal configuration or overhead for managing the interconnection between clusters. GKE multi-cluster services enable you to focus on the needs of your application while GKE manages your multi-cluster topology.
Our original Kubernetes tool list was so popular that we've curated another great list of tools to help you improve your functionality with the platform.
**Link: https://www.youtube.com/watch?v=gud65lqebrc** In this [**Google Cloud Training**](https://www.youtube.com/watch?v=gud65lqebrc "Google Cloud Training") live session, you will know everything about google cloud from basic to advance level...
If you looking to learn about Google Cloud in depth or in general with or without any prior knowledge in cloud computing, then you should definitely check this quest out.
In this Tutorial, We are going to understand, how to deploy a Kubernetes cluster and deploy containers with such an ease with Google Cloud. 1, In the GCP Console, on the Navigation menu click APIs & Services. 2, Scroll down in the list of enabled APIs, and confirm that both of these APIs are enabled.
Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.