kubernetes tools What is DevOps?

DevOps is a set of cultural concepts, practices, and technologies that improve an organization’s capacity to produce high-velocity applications and services, allowing it to evolve and improve products faster than traditional software development and infrastructure management methods. To learn more about Kubernetes tools, join DevOps Training in Chennai at FITA Academy.

Working in a DevOps environment will make you realize how crucial it is to have great DevOps tools to reduce your manual workload. There are numerous DevOps tools available for various DevOps stages and functionality.

If you work in DevOps and want to run your program inside containers, Kubernetes is a must-have. There are hundreds of solutions available that operate with Kubernetes to extend its capabilities. I’m discussing Kubernetes cluster administration, security, dashboard, and monitoring tools.

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Helm:

Helm is a Kubernetes package manager that makes it simple to deploy applications and services that are highly repeatable or can be utilised in a variety of scenarios to a standard Kubernetes cluster. Helm allows you to discover, share, and use Kubernetes-specific software.

It defines, instals, and upgrades complicated Kubernetes applications using Helm Charts.

Helmet Specifications:

  • Using charts handles all Kubernetes application complexity.
  • Upgrades and custom hooks are used to make things easier to update.
  • Charts can be shared on both public and private servers.
  • Simple rollback using only one command
  • Enhances operational preparedness and development productivity

Flagger :

Flagger is a Kubernetes Progressive Delivery Operator.

It uses Istio, App Mesh, Nginx, Linkerd, Contour, Gloo, Skipper routing for traffic shifting, and Prometheus for canary analysis to automate the promotion of canary deployments. In a canary deployment, you roll out new features to a small group of users, test them, and then spread them out to everyone.

It manages traffic between deployments using the service mesh that runs in your cluster. It measures performance indicators like average request length, HTTP request success rate, pod health, and so on to transfer traffic to the canary.

For numerous deployment strategies such as Canary, A/B testing, and Blue/Green deployment, Flagger may execute automated application analysis, promotion, and rollback.

Kubewatch:

Kubewatch is an open-source Kubernetes watcher that sends a notification to the slack channel when something happens.

It was created by Bitnami Labs and is written in Go programming. It keeps track of Kubernetes resources and notifies you if anything changes.

Kubewatch can be installed using either kubectl or helm charts. It’s straightforward to grasp and use. It also supports HipChat, Mattermost, Flock, webhooks, and SMTP, in addition to Slack.

You can set true or false for those resources in the ConfigMap file depending on which Kubernetes you wish to monitor. You’ll start receiving notifications on the Kubernetes event once you’ve configured the tube watch and run a pod, as seen below.

Gitkube:

Gitkube is a tool for generating and deploying Docker images on Kubernetes that leverages git push. Remote, gitkube-controller, and gitkubed are the three components. Remote resources are custom resources that gitkube-controller manages. The modifications are sent to gitkube-controller, which generates and deploys the docker image.

Gitkube’s features include the following:

  • Plug-and-play installation
  • For security, it provides role-based access control.
  • Using a public key, authentication is simple.
  • A multi-tenancy namespace is supported.
  • Apart from kubectl and git, there are no other dependencies.

kube-state-metrics:

kube-state-metrics is a service that listens to the Kubernetes API server and generates state object metrics. It’s used to monitor the health of nodes, pods, namespaces, and deployments, among other things. It gives you the Kubernetes API’s raw, unedited data.

The following is the data provided by kube-state-metrics:

  • Cron’s employment and status
  • The pods’ current state (ready, running, etc.)
  • Requests for resources and their range
  • Capacity and condition of nodes
  • Replica set specifications

Conclusion:

So far, we have discussed Kubernetes deployment tools, and to know more about Kubernetes tools and DevOps techniques, join DevOps Training in Coimbatore.