Posts in 2016
Using Deployment objects with Kubernetes 1.2
By Janet Kuo (Google) | Friday, April 01, 2016 in Blog
Editor's note: this is the seventh post in a series of in-depth posts on what's new in Kubernetes 1.2 Kubernetes has made deploying and managing applications very straightforward, with most actions a single API or command line away, including rolling …
Kubernetes 1.2 and simplifying advanced networking with Ingress
By Prashanth Balasubramanian (independent) | Thursday, March 31, 2016 in Blog
Editor's note: This is the sixth post in a series of in-depth posts on what's new in Kubernetes 1.2 Ingress is currently in beta and under active development. In Kubernetes, Services and Pods have IPs only routable by the cluster network, by default. …
Using Spark and Zeppelin to process big data on Kubernetes 1.2
By Zach Loafman (Google) | Wednesday, March 30, 2016 in Blog
Editor's note: this is the fifth post in a series of in-depth posts on what's new in Kubernetes 1.2 With big data usage growing exponentially, many Kubernetes customers have expressed interest in running Apache Spark on their Kubernetes clusters to …
Building highly available applications using Kubernetes new multi-zone clusters (a.k.a. 'Ubernetes Lite')
By Quinton Hoole (Google), Justin Santa Barbara (Google) | Tuesday, March 29, 2016 in Blog
Editor's note: this is the third post in a series of in-depth posts on what's new in Kubernetes 1.2 Introduction One of the most frequently-requested features for Kubernetes is the ability to run applications across multiple zones. And with good …
AppFormix: Helping Enterprises Operationalize Kubernetes
By Sumeet Singh (AppFormix) | Tuesday, March 29, 2016 in Blog
If you run clouds for a living, you’re well aware that the tools we've used since the client/server era for monitoring, analytics and optimization just don’t cut it when applied to the agile, dynamic and rapidly changing world of modern cloud …
How container metadata changes your point of view
By Apurva Davé (Sysdig) | Monday, March 28, 2016 in Blog
Sure, metadata is a fancy word. It actually means “data that describes other data.” While that definition isn’t all that helpful, it turns out metadata itself is especially helpful in container environments. When you have any complex system, the …
Five Days of Kubernetes 1.2
By David Aronchick (Google) | Monday, March 28, 2016 in Blog
The Kubernetes project has had some huge milestones over the past few weeks. We released Kubernetes 1.2, had our first conference in Europe, and were accepted into the Cloud Native Computing Foundation. While we catch our breath, we would like to …
1000 nodes and beyond: updates to Kubernetes performance and scalability in 1.2
By Wojciech Tyczynski (Google) | Monday, March 28, 2016 in Blog
Editor's note: this is the first in a series of in-depth posts on what's new in Kubernetes 1.2 We're proud to announce that with the release of 1.2, Kubernetes now supports 1000-node clusters, with a reduction of 80% in 99th percentile tail latency …
Scaling neural network image classification using Kubernetes with TensorFlow Serving
By Fangwei Li (Google) | Wednesday, March 23, 2016 in Blog
In 2011, Google developed an internal deep learning infrastructure called DistBelief, which allowed Googlers to build ever larger neural networks and scale training to thousands of cores. Late last year, Google introduced TensorFlow, its …
Kubernetes 1.2: Even more performance upgrades, plus easier application deployment and management
By David Aronchick (Google) | Thursday, March 17, 2016 in Blog
Today the Kubernetes project released Kubernetes 1.2. This release represents significant improvements for large organizations building distributed systems. Now with over 680 unique contributors to the project, this release represents our largest …