Kubernetes and its massive ecosystem can easily overwhelm people but often, a simple Kubernetes cluster setup is already enough.
The Kubernetes and cloud-native ecosystem has become very complex over time. The best illustration for this is probably the CNCF Landscape that currently contains about 1,500 cards. This huge amount of different cloud-native projects and tools has led some people to complain about the overwhelming complexity of the ecosystem recently, while others took it with humor and started to create memes about it.
However, there is not only the CNCF Landscape that can lead to some confusion, there are also CNCF sandbox, incubating, and graduated projects as well as many additional startups and other vendors developing solutions without being part of the CNCF.
Therefore, you have almost endless options for tools, add-ons, and configurations and I would expect that there will be even more in the future. All of this can even make it difficult to get easy things done right and to keep focus, which was jokingly summarized in a tweet by Kelsey Hightower:
“By 2025 it will take 64 CPUs and 1TB RAM to deploy a modern “Hello, World!” application.”
Still, I believe that only because there are many things you CAN do, this does not mean that you SHOULD do all of them. Often, it is better and sufficient to keep it simple, so you can focus on the things you actually need. For this, I will describe some advantages that simple Kubernetes cluster setups have compared to more elaborated ones.
The first advantage of a plain Kubernetes cluster is that it is easier to manage. This starts with the initial setup which is much faster and easier if you do not have to install many things.
However, it also continues during the normal operations of the cluster: If you have many tools and other things installed on a cluster, there also will be more upgrades for all these tools. In general, one could expect this effort to grow proportionally to the number of tools. Additionally, you also need to monitor the tools continuously. This does not only include monitoring that they are still working but also looking for critical upgrades, fixes, and potential bugs.
Finally, having a complex setup also means that there are many options for problems. For example, if you install one tool, it may require a certain configuration and then you need to make sure that this configuration change is not conflicting with any other tool and does not lead to any negative side-effect. The same goes for general Kubernetes version upgrades, which can be more complex if not every tool is compatible with it.
Therefore, you should be careful that the tools that are supposed to help you to manage and control your cluster will not become a burden instead of providing actual help.
One central advantage of Kubernetes is its scalability. Since it was originally made for this, “pure” and simple Kubernetes is already quite scalable. Of course, if you want to max out the full scalability of it, you may need some advanced Kubernetes configuration but for many standard scenarios, this may not be essential.
Here, it can be more of a problem if you have too many add-ons and a very complex configuration as the scalability is often associated with running many clusters. In this case, you either need to replicate your setup and install all tools on every cluster or you need to configure the tools in a way that they work across clusters. Both solutions can be challenging and may lead to more effort and thus cost than just adding another simple cluster.
Hyper-complex cluster setups can destroy part of the core value of Kubernetes.
#kubernetes #cloud #devops
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
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
Using Kubernetes to serve multi tenants is not a trivial task. Kubernetes provides the tools that are necessary(RBAC, Rolebinding, Network Policy, ResourceQuota and etc) to provide isolation between tenants but building/implementing an architecture is solely upon users. In this webinar, we would like to introduce multiple approaches that can be taken to provide multi-tenancy in the kubernetes cluster. We will also talk about how others in the communities are doing to achieve multi-tenancy. We’ll analyze pros and cons of different approaches and share specific use-cases that fit each approach. Finally, we will look in to lessons we’ve learned and we have implemented these factors into our on-premise cloud environment.
#kubernetes #a multi-tenant kubernetes cluster #kubernetes cluster #on-premise cloud environment
Kubernetes today is a hugely prevalent tool in 2021, and more organizations are increasingly running their applications on multiple clusters of Kubernetes. But these multiple cluster architectures often have a combination of multiple cloud providers, multiple data centers, multiple regions, and multiple zones where the applications are running. So, deploying your application or service on clusters with such diverse resources is a complicated endeavor. This challenge is what the process of a federation is intended to help overcome. The fundamental use case of a federation is to scale applications on multiple clusters with ease. The process negates the need to perform the deployment step more than once. Instead, you perform one deployment, and the application is deployed on multiple clusters as listed in the federation list.
Essentially, the Kubernetes cluster federation is a mechanism to provide one way or one practice to distribute applications and services to multiple clusters. One of the most important things to note is that federation is not about cluster management, federation is about application management.
Cluster federation is a way of federating your existing clusters as one single curated cluster. So, if you are leveraging Kubernetes clusters in different zones in different countries, you can treat all of them as a single cluster.
In cluster federation, we optimize a host cluster and multiple-member clusters. The host cluster comprises all the configurations which pass on all the member clusters. Member clusters are the clusters that share the workloads. It is possible to have a host cluster also share the workload and act as a member cluster, but organizations tend to keep the host clusters separate for simplicity. On the host cluster, it’s important to install the cluster registry and the federated API. Now with the cluster registry, the host will have all the information to connect to the member Clusters. And with the federated API, you require all the controllers running on our host clusters to make sure they reconcile the federated resources. In a nutshell, the host cluster will act as a control plane and propagate and push configuration to the member clusters.
#kubernetes #cluster #cluster management #federation #federation techniques #cluster communication
Hi everyone! With this article, we go deep with the Kubernetes Series. In the previous articles, I have shared with you a brief introduction to Kubernetes and showed the most common Docker parts used for Kubernetes.Today I want to show you 2 ways to setup a local Kubernetes cluster, that is the base you must have to start working with Kubernetes. These ways are the following :
#containers #kubernetes #clustering #cloud #kubernetes cluster