This Edureka video on 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐈𝐧𝐠𝐫𝐞𝐬𝐬 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 will firstly give you a brief introduction to Kubernetes Ingress Controller and why do we need it. Moving on, we will discuss the various rules the Ingress Controller has to offer. Finally, we will set up an Nginx Ingress Controller on a Kubernetes Cluster. Below are the topics covered in this Kubernetes Ingress Tutorial video :
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.
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.
#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
Technology is hard. As technologists, I think we like it that way. It’s built‑in job security, right? Well, unfortunately, the modern application world has become unproductively hard. We need to make it easier.
That’s why I like describing the current developer paradox as the need to run safely with scissors.
Running with scissors is a simple metaphor for what is the admittedly difficult ask we make of software engineers. Developers need to run. Time to market and feature velocity are critical to the success of digital businesses. As a result, we don’t want to encumber developers with processes or technology choices that slow them down. Instead we empower them to pick tools and stacks that let them deliver code to customers as quickly as possible.
But there’s a catch. In the world of fast releases, multiple daily (or hourly or minutely!) changes, and fail‑fast development, we risk introducing application downtime into digital experiences – that risk is the metaphorical scissors that make it dangerous to run fast. On some level we know it’s wrong to make developers run with scissors. But the speed upside trumps the downtime downside.
That frames the dilemma of our era: we need our developers to run with scissors, but we don’t want anybody to get hurt. Is there a solution?
At NGINX, the answer is “yes”. I’m excited to announce eight new or significantly enhanced solutions built to unleash developer speed without sacrificing the governance, visibility, and control infrastructure teams require.
As my colleague, Gus Robertson, eloquently points out in his recent blog The Essence of Sprint Is Speed, self‑service is an important part of developer empowerment. He talks about developers as the engines of digital transformation. And if they’re not presented with easy-to-use, capable tools, they take matters into their own hands. The result is shadow IT and significant infrastructure risk.
Self‑service turns this on its head. It provides infrastructure teams with a way to release the application delivery and security technologies that developers need for A/B, canary, blue‑green, and circuit‑breaker patterns. But it does so within the guardrails that ensure the consistency, reliability, and security that ensure your apps remain running once in production.
#blog #news #opinion #red hat #nginx controller #nginx app protect #nginx sprint 2020 #nginx ingress controller #nginx service mesh #f5 dns cloud services #nginx analytics cloud service
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.
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.
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
As more and more enterprises run containerized apps in production, Kubernetes continues to solidify its position as the standard tool for container orchestration. At the same time, demand for cloud computing has been pulled forward by a couple of years because work-at-home initiatives prompted by the COVID‑19 pandemic have accelerated the growth of Internet traffic. Companies are working rapidly to upgrade their infrastructure because their customers are experiencing major network outages and overloads.
To achieve the required level of performance in cloud‑based microservices environments, you need rapid, fully dynamic software that harnesses the scalability and performance of the next‑generation hyperscale data centers. Many organizations that use Kubernetes to manage containers depend on an NGINX‑based Ingress controller to deliver their apps to users.
#blog #tech #ingress controller #nginx ingress controller
Whenever you want to expose any service which is running inside Kubernetes then there are a couple of ways to do it but the easiest one is to have an Ingress. This post will cover about ingresses, ingress definitions, ingress controllers and interaction between them.
So, I am assuming you have a basic understanding of Kubernetes and you are familiar with pods and services. To explain this quickly and in the better way, we will compare it with more traditional ways of exposing websites to the internet using Apache, NGINX or any other API gateway.
Let’s start with the definition of the following:
We can think of it as the typical reverse proxy, where we have standard web deployments which are pointing to our app running behind the firewalls, as known as NGINX, HAProxy, Apache, Kong etc. In this proxy, if we configure something in
/account/.* it goes into account service, or
/address/.* goes to the address service, and so on.
Become a Certified Kubernetes Administrator (CKA)!
To call any API, you would need a resource definition which defines things like path, host, port, etc. We can update these with the help of reverse proxy, and these definitions in Kubernetes-land is called,
ingress definition here’s an example of it:
Here we are creating a simple
ingress definition which when a request comes on the path
/foo send that call to the service
echo on the port 80. We will modify this a bit more by the end of this post.
#kubernetes-cluster #devops #kubernetes #kubernetes-engine #cloud-development