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Jenkins vs Kubernetes: What are the differences?
Jenkins: An extendable open source continuous integration server. In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project; Kubernetes: Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops. Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
Jenkins and Kubernetes are primarily classified as "Continuous Integration" and "Container" tools respectively.
Some of the features offered by Jenkins are:
- Easy installation
- Easy configuration
- Change set support
On the other hand, Kubernetes provides the following key features:
- Lightweight, simple and accessible
- Built for a multi-cloud world, public, private or hybrid
- Highly modular, designed so that all of its components are easily swappable
"Hosted internally", "Free open source" and "Great to build, deploy or launch anything async" are the key factors why developers consider Jenkins; whereas "Leading docker container management solution", "Simple and powerful" and "Open source" are the primary reasons why Kubernetes is favored.
Jenkins and Kubernetes are both open source tools. Kubernetes with 55K GitHub stars and 19.1K forks on GitHub appears to be more popular than Jenkins with 13.3K GitHub stars and 5.48K GitHub forks.
Facebook, Netflix, and Instacart are some of the popular companies that use Jenkins, whereas Kubernetes is used by Google, Slack, and Shopify. Jenkins has a broader approval, being mentioned in 1774 company stacks & 1526 developers stacks; compared to Kubernetes, which is listed in 1046 company stacks and 1096 developer stacks.
Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?

If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.
We are currently using Azure Pipelines for continous integration. Our applications are developed witn .NET framework. But when we look at the online Jenkins is the most widely used tool for continous integration. Can you please give me the advice which one is best to use for my case Azure pipeline or jenkins.

If your source code is on GitHub, also take a look at Github actions. https://github.com/features/actions
I'm open to anything. just want something that break less and doesn't need me to pay for it, and can be hosted on Docker. our scripting language is powershell core. so it's better to support it. also we are building dotnet core in our pipeline, so if they have anything related that helps with the CI would be nice.

Google cloud build can help you. It is hosted on cloud and also provide reasonable free quota.
I'm planning to setup complete CD-CD setup for spark and python application which we are going to deploy in aws lambda and EMR Cluster. Which tool would be best one to choose. Since my company is trying to adopt to concourse i would like to understand what are the lack of capabilities concourse have . Thanks in advance !

I would definetly recommend Concourse to you, as it is one of the most advanced modern methods of making CI/CD while Jenkins is an old monolithic dinosaur. Concourse itself is cloudnative and containerbased which helps you to build simple, high-performance and scalable CI/CD pipelines. In my opinion, the only lack of skills you have with Concourse is your own knowledge of how to build pipelines and automate things. Technincally there is no lack, i would even say you can extend it way more easily. But as a Con it is more easy to interact with Jenkins if you are only used to UIs. Concourse needs someone which is capable of using CLIs.
From a StackShare Community member: "Currently we use Travis CI and have optimized it as much as we can so our builds are fairly quick. Our boss is all about redundancy so we are looking for another solution to fall back on in case Travis goes down and/or jacks prices way up (they were recently acquired). Could someone recommend which CI we should go with and if they have time, an explanation of how they're different?"
We use CircleCI because of the better value it provides in its plans. I'm sure we could have used Travis just as easily but we found CircleCI's pricing to be more reasonable. In the two years since we signed up, the service has improved. CircleCI is always innovating and iterating on their platform. We have been very satisfied.
As the maintainer of the Karate DSL open-source project - I found Travis CI very easy to integrate into the GitHub workflow and it has been steady sailing for more than 2 years now ! It works well for Java / Apache Maven projects and we were able to configure it to use the latest Oracle JDK as per our needs. Thanks to the Travis CI team for this service to the open-source community !

I use Google Cloud Build because it's my first foray into the CICD world(loving it so far), and I wanted to work with something GCP native to avoid giving permissions to other SaaS tools like CircleCI and Travis CI.
I really like it because it's free for the first 120 minutes, and it's one of the few CICD tools that enterprises are open to using since it's contained within GCP.
One of the unique things is that it has the Kaniko cache, which speeds up builds by creating intermediate layers within the docker image vs. pushing the full thing from the start. Helpful when you're installing just a few additional dependencies.
Feel free to checkout an example: Cloudbuild Example

I use Travis CI because of various reasons - 1. Cloud based system so no dedicated server required, and you do not need to administrate it. 2. Easy YAML configuration. 3. Supports Major Programming Languages. 4. Support of build matrix 6. Supports AWS, Azure, Docker, Heroku, Google Cloud, Github Pages, PyPi and lot more. 7. Slack Notifications.

You are probably looking at another hosted solution: Jenkins is a good tool but it way too work intensive to be used as just a backup solution.
I have good experience with Circle-CI, Codeship, Drone.io and Travis (as well as problematic experiences with all of them), but my go-to tool is Gitlab CI: simple, powerful and if you have problems with their limitations or pricing, you can always install runners somewhere and use Gitlab just for scheduling and management. Even if you don't host your git repository at Gitlab, you can have Gitlab pull changes automatically from wherever you repo lives.

If you are considering Jenkins I would recommend at least checking out Buildkite. The agents are self-hosted (like Jenkins) but the interface is hosted for you. It meshes up some of the things I like about hosted services (pipeline definitions in YAML, managed interface and authentication) with things I like about Jenkins (local customizable agent images, secrets only on own instances, custom agent level scripts, sizing instances to your needs).
Jenkins is a friend of mine. 😀
There are not much space for Jenkins competitors for now from my point of view. With declarative pipelines now in place, its super easy to maintain them and create new ones(altho I prefer scripted still). Self-hosted, free, huge community makes it the top choice so honestly for me it was an easy pick.
We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.
Within our deployment pipeline, we have a need to deploy to multiple customer environments, and manage secrets specifically in a way that integrates well with AWS, Kubernetes Secrets, Terraform and our pipelines ourselves.
Jenkins offered us the ability to choose one of a number of credentials/secrets management approaches, and models secrets as a more dynamic concept that GitHub Actions provided.
Additionally, we are operating Jenkins within our development Kubernetes cluster as a kind of system-wide orchestrator, allowing us to use Kubernetes pods as build agents, avoiding the ongoing direct costs associated with GitHub Actions minutes / per-user pricing. Obviously as a consequence we take on the indirect costs of maintain Jenkins itself, patching it, upgrading etc. However our experience with managing Jenkins via Kubernetes and declarative Jenkins configuration has led us to believe that this cost is small, particularly as the majority of actual building and testing is handled inside docker containers and Kubernetes, alleviating the need for less supported plugins that may make Jenkins administration more difficult.
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
Jenkins is a pretty flexible, complete tool. Especially I love the possibility to configure jobs as a code with Jenkins pipelines.
CircleCI is well suited for small projects where the main task is to run continuous integration as quickly as possible. Travis CI is recommended primarily for open-source projects that need to be tested in different environments.
And for something a bit larger I prefer to use Jenkins because it is possible to make serious system configuration thereby different plugins. In Jenkins, I can change almost anything. But if you want to start the CI chain as soon as possible, Jenkins may not be the right choice.
Pros of Jenkins
- Hosted internally520
- Free open source464
- Great to build, deploy or launch anything async314
- Tons of integrations243
- Rich set of plugins with good documentation210
- Has support for build pipelines110
- Open source and tons of integrations72
- Easy setup65
- It is open-source62
- Workflow plugin54
- Configuration as code11
- Very powerful tool10
- Many Plugins9
- Continuous Integration9
- Great flexibility8
- Git and Maven integration is better8
- 100% free and open source7
- Github integration6
- Slack Integration (plugin)6
- Easy customisation5
- Self-hosted GitLab Integration (plugin)5
- Docker support4
- Pipeline API4
- Platform idnependency3
- Excellent docker integration3
- Fast builds3
- Hosted Externally3
- Customizable2
- AWS Integration2
- It's Everywhere2
- JOBDSL2
- Can be run as a Docker container2
- It`w worked2
- Easily extendable with seamless integration1
- Build PR Branch Only1
- NodeJS Support1
- PHP Support1
- Ruby/Rails Support1
- Universal controller1
- Loose Coupling1
Pros of Kubernetes
- Leading docker container management solution161
- Simple and powerful126
- Open source102
- Backed by google75
- The right abstractions56
- Scale services24
- Replication controller19
- Permission managment9
- Simple7
- Supports autoscaling7
- Cheap6
- Self-healing4
- No cloud platform lock-in4
- Reliable4
- Open, powerful, stable3
- Scalable3
- Quick cloud setup3
- Promotes modern/good infrascture practice3
- Backed by Red Hat2
- Cloud Agnostic2
- Runs on azure2
- Custom and extensibility2
- Captain of Container Ship2
- A self healing environment with rich metadata2
- Golang1
- Easy setup1
- Everything of CaaS1
- Sfg1
- Expandable1
- Gke1
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Cons of Jenkins
- Workarounds needed for basic requirements12
- Groovy with cumbersome syntax9
- Plugins compatibility issues7
- Lack of support6
- Limited abilities with declarative pipelines6
- No YAML syntax4
- Too tied to plugins versions3
Cons of Kubernetes
- Poor workflow for development14
- Steep learning curve12
- Orchestrates only infrastructure6
- High resource requirements for on-prem clusters3