Kubernetes v1.20 Released: Major Features & Updates Introduced

In recent news, container orchestration system Kubernetes has released its version 1.20. This is the third (post v1.18 and v1.19) and the last release of Kubernetes this year, calling it the ‘Raddest Release’. The new version consists of 42 enhancements in all. Of these, 11 enhancements are stable, 15 are being moved to beta, and the remaining are entering alpha.

As per the developers’ blog, this version is one of the ‘most feature dense’ releases, which has more alpha than the stable enhancements. As per them, this shows that there still is tremendous scope for exploration in the cloud-native ecosystem.

In this article, we discuss some of the prominent features of this new stable release from Kubernetes.

Volume Snapshot Operations

In the Kubernetes v1.20, the volume snapshot operations that provide a standard way to trigger and incorporate volume snapshot operations has been made stable. Snapshots are instantaneous ‘pictures’ or reports of a server’s file system at a given point.

#developers corner #docker #features and updates #kubernetes new release #kubernetes v1.20

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Kubernetes v1.20 Released: Major Features & Updates Introduced
Christa  Stehr

Christa Stehr

1602964260

50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml

Kubernetes v1.20 Released: Major Features & Updates Introduced

In recent news, container orchestration system Kubernetes has released its version 1.20. This is the third (post v1.18 and v1.19) and the last release of Kubernetes this year, calling it the ‘Raddest Release’. The new version consists of 42 enhancements in all. Of these, 11 enhancements are stable, 15 are being moved to beta, and the remaining are entering alpha.

As per the developers’ blog, this version is one of the ‘most feature dense’ releases, which has more alpha than the stable enhancements. As per them, this shows that there still is tremendous scope for exploration in the cloud-native ecosystem.

In this article, we discuss some of the prominent features of this new stable release from Kubernetes.

Volume Snapshot Operations

In the Kubernetes v1.20, the volume snapshot operations that provide a standard way to trigger and incorporate volume snapshot operations has been made stable. Snapshots are instantaneous ‘pictures’ or reports of a server’s file system at a given point.

#developers corner #docker #features and updates #kubernetes new release #kubernetes v1.20

August  Murray

August Murray

1620345060

Kubeflow V1.2 Released: All The Features Introduced

Open-source machine learning toolkit built for Kubernetes, Kubeflow has now released its 1.2 version. Some of the major features in this new version include enhancements to the model building, training tuning, and machine learning pipelining; introduction of automated configuration of hyperparameters for better accuracy; serverless interfacing on Kubernetes; and providing interactive coding environment for better model development. Some of the important features are discussed below.

Katib 0.10

A Kubernetes-based system for hyperparameter tuning and neural architecture search, Katib supports several machine learning frameworks such as TensorFlow, XGBoost, and Pytorch.

The new version of Kubeflow introduces an upgraded Katib with v1bet1 AP1 for ensuring delivery of more accurate models using better infrastructure utilisation. It will be achieved through the automated configuration of hyperparameters (variables that control the model training process). A few of the important features of Katib 0.10 include:

#developers corner #kubeflow 1.2 #kubeflow new release #kubernetes #release features

Maud  Rosenbaum

Maud Rosenbaum

1601051854

Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.

This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.

Kubernetes: Your Multi Cloud Strategy

Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.

In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.

Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.

In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.

The Compelling Attributes of Multi Cloud Kubernetes

Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.

Stability

In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.

#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud

Mitchel  Carter

Mitchel Carter

1601305200

Microsoft Announces General Availability Of Bridge To Kubernetes

Recently, Microsoft announced the general availability of Bridge to Kubernetes, formerly known as Local Process with Kubernetes. It is an iterative development tool offered in Visual Studio and VS Code, which allows developers to write, test as well as debug microservice code on their development workstations while consuming dependencies and inheriting the existing configuration from a Kubernetes environment.

Nick Greenfield, Program Manager, Bridge to Kubernetes stated in an official blog post, “Bridge to Kubernetes is expanding support to any Kubernetes. Whether you’re connecting to your development cluster running in the cloud, or to your local Kubernetes cluster, Bridge to Kubernetes is available for your end-to-end debugging scenarios.”

Bridge to Kubernetes provides a number of compelling features. Some of them are mentioned below-

#news #bridge to kubernetes #developer tools #kubernetes #kubernetes platform #kubernetes tools #local process with kubernetes #microsoft