Jaimin Bhavsar

Jaimin Bhavsar

1614343380

Autoscale Applications on Kubernetes with Kubernetes Event-Driven Autoscaling (KEDA)

Do you want to scale your workloads on Kubernetes without having to worry about the details? Do you want to run Azure Functions anywhere and easily scale it yourself? Tom Kerkhove shows Scott Hanselman how Kubernetes Event-Driven Autoscaling (KEDA) makes application autoscaling dead simple.

  • 0:00 – Introduction
  • 1:10 – Presentation
  • 7:57 – Demo
  • 17:45 – Discussion and wrap-up

#azure #kubernetes

What is GEEK

Buddha Community

Autoscale Applications on Kubernetes with Kubernetes Event-Driven Autoscaling (KEDA)
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

Iliana  Welch

Iliana Welch

1598503380

Kubernetes-Based Event-Driven Autoscaling (KEDA)

Overview

Implement event-driven processing on Kubernetes using Kubernetes-Based Event-Driven Autoscaling (KEDA).

The IT industry is now moving towards Event-Driven Computing. Today it’s becoming so popular due to the ability of engaging users with the app. Popular games like PUBG and COD are using this approach to provide the user with a quick and accurate response which results in better user experience, but what is this Event-Driven Computing and what is the role of  Serverless Architecture in it?

Event-Driven Computing is nothing but a computing model in which programs perform their jobs in response to the occurrence of events like user actions (mouse click, keypress), sensors output and the messages from the process or thread. It requires autoscaling based on the events triggered for better autoscaling we use serverless. Serverless does not mean running code without a server; the name “Serverless” is used because the users don’t have to rent or buy the server for the background code to run. The background code is entirely managed by the third-party (cloud providers).


KEDA (Kubernetes Based Event Driven Autoscaling)

Event-driven and serverless architecture are defining a new generation of apps and microservices. Moreover, containers are no exception; these containerized workloads and services are managed using an open-source tool called Kubernetes. Auto Scaling is an integral part of Event-driven and serverless architecture, although Kubernetes provides auto-scaling, it does not support serverless style event-driven scaling. To allow users to build their event-driven apps on top of Kubernetes Red Hat and Microsoft joined forces and developed a project called KEDA (Kubernetes Based Event Driven Autoscaling). It is a step towards serverless Kubernetes and serverless on Kubernetes.

#kubernetes #kubernetes-based event-driven autoscaling #keda

Hermann  Frami

Hermann Frami

1667716620

KEDA: Kubernetes-based Event Driven Autoscaling

KEDA

Kubernetes-based Event Driven Autoscaling

KEDA allows for fine-grained autoscaling (including to/from zero) for event driven Kubernetes workloads. KEDA serves as a Kubernetes Metrics Server and allows users to define autoscaling rules using a dedicated Kubernetes custom resource definition.

KEDA can run on both the cloud and the edge, integrates natively with Kubernetes components such as the Horizontal Pod Autoscaler, and has no external dependencies.

We are a Cloud Native Computing Foundation (CNCF) incubation project.

Getting started

You can find several samples for various event sources here.

Deploying KEDA

There are many ways to deploy KEDA including Helm, Operator Hub and YAML files.

Documentation

Interested to learn more? Head over to keda.sh.

Community

If interested in contributing or participating in the direction of KEDA, you can join our community meetings! Learn more about them on our website.

Just want to learn or chat about KEDA? Feel free to join the conversation in #KEDA on the Kubernetes Slack!

Adopters - Become a listed KEDA user!

We are always happy to list users who run KEDA in production, learn more about it here.

Governance & Policies

You can learn about the governance of KEDA here.

Roadmap

We use GitHub issues to build our backlog, a complete overview of all open items and our planning.

Learn more about our roadmap here.

Releases

You can find the latest releases here.

Contributing

You can find contributing guide here.

Building & deploying locally

Learn how to build & deploy KEDA locally here.

Download Details:

Author: Kedacore
Source Code: https://github.com/kedacore/keda 
License: Apache-2.0 license

#serverless #kubernetes #event 

Jaimin Bhavsar

Jaimin Bhavsar

1614343380

Autoscale Applications on Kubernetes with Kubernetes Event-Driven Autoscaling (KEDA)

Do you want to scale your workloads on Kubernetes without having to worry about the details? Do you want to run Azure Functions anywhere and easily scale it yourself? Tom Kerkhove shows Scott Hanselman how Kubernetes Event-Driven Autoscaling (KEDA) makes application autoscaling dead simple.

  • 0:00 – Introduction
  • 1:10 – Presentation
  • 7:57 – Demo
  • 17:45 – Discussion and wrap-up

#azure #kubernetes

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