Rundeck VS kubernetes

Compare to rundeck after they were acquired by Pagerduty

https://github.com/rundeck/rundeck/graphs/contributors

Hi! That's reported here, please add your use case.

Strangely enough, when putting 0d in the conguration file, the WebUI field is pre-filled with 0.

Anyway, you can suggest that here :-)

Hello, currently that's not configurable, you can suggest it here. Regards.

Hi! If you decide to call the API from the inline-script step, consider creating a specific plugin for that. Take a look at this and this basic example.

Reproduced here. Thanks for your feedback!

You can use regex expressions on -match: name: blocks, for example, project.*, check this another example (focused on jobs) I think that is what you're looking for.

It's worth mentioning that server is an abstraction in our case. For example, the deployment might proceed to the Kubernetes cluster. So, there are might be several servers.

Handy to run these upon application deployment (VM's & Kubernetes) or when releasing a new SOE (standard operating environment)

Continuous Delivery and Continuous Integration: Jenkins Vagrant Ansible Puppet Containers: Docker Kubernetes Monitoring and alerting: SignalFX Splunk Raygun

For the majority of their work, they need tools for Version Control (GitHub, GitLab), Container Management(Kubernetes, Docker), APM (Elastic, AppDynamics), Deployments and Server Monitoring(Datadog), CI/CD & Test Automation (Jenkins, TravisCI, CircleCI, GitHub Actions), etc..

It just seemed to me that this is something that should be available and I just don't know how to tell it to k8s correctly. As I read this thread, I see that I'm not the only one. But of course, if that is for some reason not the right solution, I'd adapt.

Kubernetes (K8)is a popular open-source solution used by many Dev and DevOps teams worldwide to automate the deployment and management of containerized applications, workloads, and services. To achieve this, Kubernetes allows you to regroup easily manageable containers (container units), which facilitates the development and configuration of applications, making development processes more agile, efficient, and scalable.

Kubernetes is a container orchestration system that is used for automated container deployment, scaling, and management. Thanks to Kubernetes, running a containerized app that scales is a breeze. Multiple worker machines are combined to form a cluster, and each worker machine hosts pods that run the different containers pertaining to the application.

Just to give a small intro to Kubernetes(k8s), it is a tool which helps you deploy your applications, scale and manage them as per your wish. To learn in detail, how k8s is resilient in itself, we need to dive deep into the various components constituting it.

Kubernetes (K8s) is an orchestration tool. Not too dissimilar to ansible in function but is designed to work at much larger scales. It also has tools for things like disaster recovery so if your Docker containers go down for whatever reason fresh ones can automatically replace those broken ones and horizontal scaling so if you need more instances you don't have to worry about it, you can set an upper limit and K8s will automatically create new instances for you.

With the advent and popularization of containers, technologies emerged to tame the ever-growing operations demand, offering rich sets of features. Enter Kubernetes, the most popular container platform today, supported by every major cloud provider, offering: