Get started with Kubernetes (using Python)

Jason Haley wrote a brief tutorial to get the Pythonista started with Kubernetes. Worth reading if you are new to the topic.

Enable Kubernetes in Docker Desktop

So, you know you want to run your application in Kubernetes but don’t know where to start. Or maybe you’re getting started but still don’t know what you don’t know. In this blog you’ll walk through how to containerize an application and get it running in Kubernetes.This walk-through assumes you are a developer or at least comfortable with the command line (preferably bash shell).

Source: Get started with Kubernetes (using Python) – Kubernetes

GCP can run untrusted workloads

Google’s Kubernetes Engine (GKE) now supports node pools that are wrapped in gVisor to allow running untrusted workloads. The idea behind gVisors is to emulate all system calls in user space and provide a sandbox to processes that cannot be trusted. GKE allows to enable this with a configuration option now.

GKE on GCP

New GKE Sandbox brings added security to your containers running in Google Kubernetes Engine clusters.

Source: GKE Sandbox: Bring defense in depth to your pods | Google Cloud Blog

Release: Kubernetes 1.12

Kubelet TLS Bootstrap and Azure Virtual Machine Scale Sets (VMSS) Move to General Availability – Kubernetes Blog

Author: The 1.12 Release TeamWe’re pleased to announce the delivery of Kubernetes 1.12, our third release of 2018!Today’s release continues to focus on internal improvements and graduating features to stable in Kubernetes. This newest version graduates key features such as security and Azure. Notable additions in this release include two highly-anticipated features graduating to general availability: Kubelet TLS Bootstrap and Support for Azure Virtual Machine Scale Sets (VMSS).

Source: Kubernetes 1.12: Kubelet TLS Bootstrap and Azure Virtual Machine Scale Sets (VMSS) Move to General Availability – Kubernetes

#GoogleCloudSummit 2017 in Munich

While Amazon Web Services reported another record quarter with $4,53B in October 2017, and Microsoft reporting 93% growth of their cloud business, Google is the third major player in the market for cloud services.

At the same time, Google is not (yet) explicitly reporting numbers on their cloud offering. However, “all other” businesses, including Play Store,  also showed impressive 42% growth recently.

To demonstrate how serious the company is about their cloud products, Google demonstrated their commitment in roadshows, the Google Cloud Summit. Among others, like in Paris or Singapore, the Summit was held in Munich On December 6th in the MOC Munich.

Following a keynote between 9am an 11am, Google prepared 4 tracks covering diverse, cloud oriented topics in the areas of Application Development, Big Data & Machine Learning, Infrastructure & Operations, Startup. These tracks had continuous talks between 11am and 6pm, touching all topics from the field you could think of, starting with containers, docker and Kubernetes, going over IoT and Industry 4.0, touching Artificial Intelligence and Machine Learning, to Data Loss Protection and GDPR. All that along with Innovation and Agility in the context of security and privacy.

To round up the event,  outside the track rooms had an exhibition of selected cloud partners, from consultancy to implementation service, but also SaaS offerings leveraging the Google Cloud Platform.

While the market news seem that Google is late to the game, their commitment and quality of offering surely put them in an interesting spot and an alternative to the other two cloud vendors. The cloud summit definitely answered questions on Googles capabilities.