We’re pleased to announce the delivery of Kubernetes 1.16, our third release of 2019! Kubernetes 1.16 consists of 31 enhancements: 8 enhancements moving to stable, 8 enhancements in beta, and 15 enhancements in alpha.
In this video, Stephanie Wong shows you how to deploy serverless containers using Cloud Run. See three ways to run OpenOffice as a serverless microservice, and learn how Knative and Cloud Run give you the flexibility of serverless and the portability of containers.
Helm v3 development has hit a new milestone with the release of the first beta. This is an especially important milestone because it is the end of the effort to refactor Helm v3. The last of the intended breaking changes has landed. From this point on, Helm v3 is focused on bug fixes, stability, and preparing it for a stable release.
If you have used Kubernetes for any length of time, you will have heard the term Service Mesh. Several big companies are backing service mesh projects, such as Google with Istio and the Cloud Native Computing Foundation with Linkerd.
So what is a Service Mesh, and how is it different from the standard Service and Ingress resources native to Kubernetes?
Kubernetes supports the concept of ‘impersonation’ and we’re going to look at the user & group configuration that we created using impersonation to enable a least-privilege type of access to the cluster, even as an administrator, to ensure that it was more difficult to accidentally perform unwanted actions, while keeping the complexity level low.
You won't believe what K8s means! Check out the full article to find out. My intention for this post is to have at least two parts. The first part of Understanding Kubernetes will be theoretical and during the second we will make our hands dirty (practical).
Kubernetes add many enhancements and feature sets for edge-based network infrastructure.
Streamlines workloads and resource management using policy based scheduling.
Adds security and networking features.
Enables auto-scaling and traffic shaping for better resource utilization and workload prioritization.
Apart from Kubernetes Edge IoT working group community, there are key developments are in progress by many companies to integrate and utilize Kubernetes power for edge and IoT. I will cover more details in upcoming articles about Kubernetes for edge.
As edge computing continues to gain momentum to deal with streaming data generated by numerous IoT devices, there are several challenges that have shown-up associated with remote management of software deployment and updates; latency, pre-processing of data, orchestration of different workloads and end-to-end orchestration of compute resources. Kubernetes has emerged as a perfect solution to service providers and enterprises who want to or have deployed edge nodes. It brings cloud native approach to edge use cases along with large feature sets for public cloud, private cloud and core datacenters.
This ebook focuses on current scenarios of adoption of Kubernetes for edge use cases, current Kubernetes + edge case studies, approached of deployment and open source and commercial solutions.