Jenkins is an open source automation server. Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into a continuous delivery hub for any project.
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Kubernetes
Score 9.0 out of 10
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Kubernetes is an open-source container cluster manager.
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VMware Cloud Foundation
Score 9.0 out of 10
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VMware Cloud Foundation is a hybrid cloud platform for managing VMs and orchestrating containers, built on full-stack hyperconverged infrastructure (HCI) technology. With a single architecture that is desribed by the vendor as easy to deploy, VMware Cloud Foundation aims to enable consistent, secure infrastructure and operations across private and public cloud.
I have used Spinnaker as a CD tool. Though it's a very powerful CD tool we still needed Jenkins for CI, so to save some hassle for us we opt Jenkins solely.
The big difference between Jenkins and other alternative tools is that Jenkins is open source and it’s free. Jenkins is very much about simple functionality. It’s a general CI tool that offers basic automation. It’s the most common CI tool on the market with a large community …
When looking for alternatives for Jenkins we found CircleCI and TeamCity are good too. Jenkins was considered for reasons like it has a wide variety of plugins which integrate well with any kind of system. And its ease of use.
One of the other greater advantage is it is open …
Jenkins immense flexibility and its large and impressive selection of available community-driven plugins makes it ideal choice for solving non-traditional problems.
However, for CI/CD - consider the benefit of modern tools that enforce reusable, infrastructure as code design …
Docker Swarm is not as advanced as Kubernetes and there are no out of the box solutions for auto scaling and deployment strategies. Docker swarm doesnot have much experience with production deployments at scale. Swarm has a smaller community, and less frequent releases as …
We already had an enterprise Kubernetes 8 set up, so once we got our namespace it took me about 2 weeks to go from not knowing anything to having a self-contained jar in a container, running on Kubernetes 8. In comparison, it took me two weeks to install Java on a blank server …
Jenkins is a highly customizable CI/CD tool with excellent community support. One can use Jenkins to build and deploy monolith services to microservices with ease. It can handle multiple "builds" per agent simultaneously, but the process can be resource hungry, and you need some impressive specs server for that. With Jenkins, you can automate almost any task. Also, as it is an open source, we can save a load of money by not spending on enterprise CI/CD tools.
K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
It is best suited for an on-premise cloud solution where customer can shift their entire production environment. Also, the customer has a preference for a Homogenous Infrastructure Environment where budget is not a challenge. It is not at all suited for a Heterogenous Environment, e.g., a Public cloud where integration becomes a huge issue, also in SMB sections where budget is challenging.
Automated Builds: Jenkins is configured to monitor the version control system for new pull requests. Once a pull request is created, Jenkins automatically triggers a build process. It checks out the code, compiles it, and performs any necessary build steps specified in the configuration.
Unit Testing: Jenkins runs the suite of unit tests defined for the project. These tests verify the functionality of individual components and catch any regressions or errors. If any unit tests fail, Jenkins marks the build as unsuccessful, and the developer is notified to fix the issues.
Code Analysis: Jenkins integrates with code analysis tools like SonarQube or Checkstyle. It analyzes the code for quality, adherence to coding standards, and potential bugs or vulnerabilities. The results are reported back to the developer and the product review team for further inspection.
Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.
We have a certain buy-in as we have made a lot of integrations and useful tools around jenkins, so it would cost us quite some time to change to another tool. Besides that, it is very versatile, and once you have things set up, it feels unnecessary to change tool. It is also a plus that it is open source.
The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.
Jenkins streamlines development and provides end to end automated integration and deployment. It even supports Docker and Kubernetes using which container instances can be managed effectively. It is easy to add documentation and apply role based access to files and services using Jenkins giving full control to the users. Any deviation can be easily tracked using the audit logs.
It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself
No, when we integrated this with GitHub, it becomes more easy and smart to manage and control our workforce. Our distributed workforce is now streamlined to a single bucket. All of our codes and production outputs are now automatically synced with all the workers. There are many cases when our in-house team makes changes in the release, our remote workers make another release with other environment variables. So it is better to get all of the work in control.
As with all open source solutions, the support can be minimal and the information that you can find online can at times be misleading. Support may be one of the only real downsides to the overall software package. The user community can be helpful and is needed as the product is not the most user-friendly thing we have used.
It is worth well the time to setup Jenkins in a docker container. It is also well worth to take the time to move any "Jenkins configuration" into Jenkinsfiles and not take shortcuts.
Overall, Jenkins is the easiest platform for someone who has no experience to come in and use effectively. We can get a junior engineer into Jenkins, give them access, and point them in the right direction with minimal hand-holding. The competing products I have used (TravisCI/GitLab/Azure) provide other options but can obfuscate the process due to the lack of straightforward simplicity. In other areas (capability, power, customization), Jenkins keeps up with the competition and, in some areas, like customization, exceeds others.
Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
Although the public Cloud Model follows Opex Costing Model, it actually leads to very high costs also, the infra model in my organization is not suited for a Public Cloud Model. Hence We decided on an On-Premise Model, and the best suited was VMware Cloud Foundation, which is a complete Software-Defined Scale-Out Architecture. I also prefer a Homogenous environment; i.e, support and services from a Single OEM, so that I Can get faster resolutions to my tickets raised.
My organization has a size of 1300+ employees, using multiple applications and an exchange mail server that is hosted on On-Premise Cloud, hence scalability has not been a challenge.
Having hosted my Production environment and Mail exchange Server on VCF, there has been optimum resource utilization with very little scope downtime. Hence have been able to save a lot of funds on Hardware resources.
Due to the size of my organization and due the data load, I have been able to save on Resource Utilization and Organization Funds
