Alternatives to CloudBees logo

Alternatives to CloudBees

Jenkins, CircleCI, Bamboo, Azure DevOps, and GitLab are the most popular alternatives and competitors to CloudBees.
81
147
+ 1
5

What is CloudBees and what are its top alternatives?

Enables organizations to build, test and deploy applications to production, utilizing continuous delivery practices. They are focused solely on Jenkins as a tool for continuous delivery both on-premises and in the cloud.
CloudBees is a tool in the Platform as a Service category of a tech stack.

Top Alternatives to CloudBees

  • Jenkins
    Jenkins

    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. ...

  • CircleCI
    CircleCI

    Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp. ...

  • Bamboo
    Bamboo

    Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments. ...

  • Azure DevOps
    Azure DevOps

    Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support. ...

  • GitLab
    GitLab

    GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers. ...

  • Spinnaker
    Spinnaker

    Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers. ...

  • Heroku
    Heroku

    Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling. ...

  • Google App Engine
    Google App Engine

    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow. ...

CloudBees alternatives & related posts

Jenkins logo

Jenkins

48.5K
40.8K
2.2K
An extendable open source continuous integration server
48.5K
40.8K
+ 1
2.2K
PROS OF JENKINS
  • 520
    Hosted internally
  • 464
    Free open source
  • 314
    Great to build, deploy or launch anything async
  • 243
    Tons of integrations
  • 210
    Rich set of plugins with good documentation
  • 110
    Has support for build pipelines
  • 72
    Open source and tons of integrations
  • 65
    Easy setup
  • 62
    It is open-source
  • 54
    Workflow plugin
  • 11
    Configuration as code
  • 10
    Very powerful tool
  • 9
    Many Plugins
  • 9
    Continuous Integration
  • 8
    Great flexibility
  • 8
    Git and Maven integration is better
  • 7
    100% free and open source
  • 6
    Github integration
  • 6
    Slack Integration (plugin)
  • 5
    Easy customisation
  • 5
    Self-hosted GitLab Integration (plugin)
  • 4
    Docker support
  • 4
    Pipeline API
  • 3
    Platform idnependency
  • 3
    Excellent docker integration
  • 3
    Fast builds
  • 3
    Hosted Externally
  • 2
    Customizable
  • 2
    AWS Integration
  • 2
    It's Everywhere
  • 2
    JOBDSL
  • 2
    Can be run as a Docker container
  • 2
    It`w worked
  • 1
    Easily extendable with seamless integration
  • 1
    Build PR Branch Only
  • 1
    NodeJS Support
  • 1
    PHP Support
  • 1
    Ruby/Rails Support
  • 1
    Universal controller
  • 1
    Loose Coupling
CONS OF JENKINS
  • 12
    Workarounds needed for basic requirements
  • 9
    Groovy with cumbersome syntax
  • 7
    Plugins compatibility issues
  • 6
    Lack of support
  • 6
    Limited abilities with declarative pipelines
  • 4
    No YAML syntax
  • 3
    Too tied to plugins versions

related Jenkins posts

Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 5.2M views

Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

See more
Thierry Schellenbach

Releasing new versions of our services is done by Travis CI. Travis first runs our test suite. Once it passes, it publishes a new release binary to GitHub.

Common tasks such as installing dependencies for the Go project, or building a binary are automated using plain old Makefiles. (We know, crazy old school, right?) Our binaries are compressed using UPX.

Travis has come a long way over the past years. I used to prefer Jenkins in some cases since it was easier to debug broken builds. With the addition of the aptly named “debug build” button, Travis is now the clear winner. It’s easy to use and free for open source, with no need to maintain anything.

#ContinuousIntegration #CodeCollaborationVersionControl

See more
CircleCI logo

CircleCI

10.2K
6K
962
Automate your development process quickly, safely, and at scale
10.2K
6K
+ 1
962
PROS OF CIRCLECI
  • 224
    Github integration
  • 176
    Easy setup
  • 152
    Fast builds
  • 94
    Competitively priced
  • 74
    Slack integration
  • 54
    Docker support
  • 44
    Awesome UI
  • 33
    Great customer support
  • 18
    Ios support
  • 14
    Hipchat integration
  • 13
    SSH debug access
  • 11
    Free for Open Source
  • 5
    Bitbucket integration
  • 5
    Mobile support
  • 4
    Nodejs support
  • 4
    AWS CodeDeploy integration
  • 3
    Great support
  • 3
    Free for Github private repo
  • 3
    YAML configuration
  • 2
    Clojurescript
  • 2
    OSX support
  • 2
    Continuous Deployment
  • 2
    Simple, clean UI
  • 2
    Clojure
  • 1
    Unstable
  • 1
    Favorite
  • 1
    Helpful documentation
  • 1
    Autoscaling
  • 1
    Extremely configurable
  • 1
    Works
  • 1
    Android support
  • 1
    Fair pricing
  • 1
    All inclusive testing
  • 1
    Japanese in rspec comment appears OK
  • 1
    Build PR Branch Only
  • 1
    So circular
  • 1
    Easy setup, easy to understand, fast and reliable
  • 1
    Parallel builds for slow test suites
  • 1
    Easy setup. 2.0 is fast!
  • 1
    Parallelism
  • 1
    Easy to deploy to private servers
  • 1
    Really easy to use
  • 0
    Stable
CONS OF CIRCLECI
  • 12
    Unstable
  • 6
    Scammy pricing structure
  • 0
    Aggressive Github permissions

related CircleCI posts

Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 5.2M views

Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

See more
Tim Abbott
Shared insights
on
Travis CITravis CICircleCICircleCI
at

We actually started out on Travis CI, but we've migrated our main builds to CircleCI, and it's been a huge improvement.

The reason it's been a huge improvement is that Travis CI has a fundamentally bad design for their images, where they start with a standard base Linux image containing tons of packages (several versions of postgres, every programming language environment, etc). This is potentially nice for the "get builds for a small project running quickly" use case, but it's a total disaster for a larger project that needs a decent number of dependencies and cares about the performance and reliability of their build.

This issue is exacerbated by their networking infrastructure being unreliable; we usually saw over 1% of builds failing due to transient networking errors in Travis CI, even after we added retries to the most frequently failing operations like apt update or pip install. And they never install Ubuntu's point release updates to their images. So doing an apt update, apt install, or especially apt upgrade would take forever. We ended up writing code to actually uninstall many of their base packages and pin the versions of hundreds of others to get a semi-fast, semi-reliable build. It was infuriating.

The CircleCI v2.0 system has the right design for a CI system: we can customize the base image to start with any expensive-to-install packages we need for our build, and we can update that image if and when we want to. The end result is that when migrating, we were able to delete all the hacky optimizations mentioned above, while still ending up with a 50% faster build latency. And we've also had 5-10x fewer issues with networking-related flakes, which means one doesn't have to constantly check whether a build failure is actually due to an issue with the code under test or "just another networking flake".

See more
Bamboo logo

Bamboo

484
474
17
Tie automated builds, tests, and releases together in a single workflow
484
474
+ 1
17
PROS OF BAMBOO
  • 10
    Integrates with other Atlassian tools
  • 4
    Great notification scheme
  • 2
    Great UI
  • 1
    Has Deployment Projects
CONS OF BAMBOO
  • 5
    Expensive

related Bamboo posts

xie zhifeng
Shared insights
on
BambooBambooJenkinsJenkinsGitLabGitLab
at

I am choosing a DevOps toolset for my team. GitLab is open source and quite cloud-native. Jenkins has a very popular environment system but old-style technicals. Bamboo is very nice but integrated only with Atlassian products.

See more
Azure DevOps logo

Azure DevOps

2.3K
2.4K
242
Services for teams to share code, track work, and ship software
2.3K
2.4K
+ 1
242
PROS OF AZURE DEVOPS
  • 53
    Complete and powerful
  • 31
    Huge extension ecosystem
  • 26
    One Stop Shop For Build server, Project Mgt, CDCI
  • 26
    Azure integration
  • 25
    Flexible and powerful
  • 15
    Everything I need. Simple and intuitive UI
  • 13
    Support Open Source
  • 8
    Integrations
  • 7
    GitHub Integration
  • 6
    Cost free for Stakeholders
  • 6
    One 4 all
  • 6
    Project Mgmt Features
  • 5
    Runs in the cloud
  • 5
    Crap
  • 3
    Agent On-Premise(Linux - Windows)
  • 2
    Aws integration
  • 2
    Jenkins Integration
  • 2
    Link Test Cases to Stories
  • 1
    GCP Integration
CONS OF AZURE DEVOPS
  • 7
    Still dependant on C# for agents
  • 4
    Capacity across cross functional teams not visibile
  • 4
    Half Baked
  • 4
    Not a requirements management tool
  • 3
    Jack of all trades, master of none
  • 3
    Many in devops disregard MS altogether
  • 3
    Poor Jenkins integration
  • 2
    Tedious for test plan/case creation

related Azure DevOps posts

Farzad Jalali
Senior Software Architect at BerryWorld · | 8 upvotes · 205.6K views

Visual Studio Azure DevOps Azure Functions Azure Websites #Azure #AzureKeyVault #AzureAD #AzureApps

#Azure Cloud Since Amazon is potentially our competitor then we need a different cloud vendor, also our programmers are microsoft oriented so the choose were obviously #Azure for us.

Azure DevOps Because we need to be able to develop a neww pipeline into Azure environment ina few minutes.

Azure Kubernetes Service We already in #Azure , also need to use K8s , so let's use AKS as it's a manged Kubernetes in the #Azure

See more
Nicholas Rogoff

Secure Membership Web API backed by SQL Server. This is the backing API to store additional profile and complex membership metadata outside of an Azure AD B2C provider. The front-end using the Azure AD B2C to allow 3rd party trusted identity providers to authenticate. This API provides a way to add and manage more complex permission structures than can easily be maintained in Azure AD.

We have .Net developers and an Azure infrastructure environment using server-less functions, logic apps and SaaS where ever possible. For this service I opted to keep it as a classic WebAPI project and deployed to AppService.

  • Trusted Authentication Provider: @AzureActiveDirectoryB2C
  • Frameworks: .NET Core
  • Language: C# , Microsoft SQL Server , JavaScript
  • IDEs: Visual Studio Code , Visual Studio
  • Libraries: jQuery @EntityFramework, @AutoMapper, @FeatureToggle , @Swashbuckle
  • Database: @SqlAzure
  • Source Control: Git
  • Build and Release Pipelines: Azure DevOps
  • Test tools: Postman , Newman
  • Test framework: @nUnit, @moq
  • Infrastructure: @AzureAppService, @AzureAPIManagement
See more
GitLab logo

GitLab

49.2K
41.2K
2.4K
Open source self-hosted Git management software
49.2K
41.2K
+ 1
2.4K
PROS OF GITLAB
  • 498
    Self hosted
  • 425
    Free
  • 335
    Has community edition
  • 239
    Easy setup
  • 238
    Familiar interface
  • 131
    Includes many features, including ci
  • 108
    Nice UI
  • 81
    Good integration with gitlabci
  • 54
    Simple setup
  • 33
    Has an official mobile app
  • 32
    Free private repository
  • 29
    Continuous Integration
  • 19
    Open source, great ui (like github)
  • 15
    Slack Integration
  • 11
    Full CI flow
  • 10
    Free and unlimited private git repos
  • 8
    User, group, and project access management is simple
  • 7
    Built-in CI
  • 7
    Intuitive UI
  • 7
    All in one (Git, CI, Agile..)
  • 4
    Both public and private Repositories
  • 3
    Integrated Docker Registry
  • 3
    Mattermost Chat client
  • 3
    Issue system
  • 2
    One-click install through DigitalOcean
  • 2
    Dockerized
  • 2
    Because is the best remote host for git repositories
  • 2
    Full DevOps suite with Git
  • 2
    Free private repos
  • 2
    Great for team collaboration
  • 2
    Unlimited free repos & collaborators
  • 2
    It's fully integrated
  • 2
    I like the its runners and executors feature
  • 2
    CI
  • 2
    So easy to use
  • 2
    It's powerful source code management tool
  • 2
    Excellent
  • 2
    Build/pipeline definition alongside code
  • 2
    Security and Stable
  • 2
    Low maintenance cost due omnibus-deployment
  • 2
    On-premises
  • 1
    Multilingual interface
  • 1
    Kubernetes integration with GitLab CI
  • 1
    Review Apps feature
  • 1
    Powerful software planning and maintaining tools
  • 1
    Groups of groups
  • 1
    Built-in Docker Registry
  • 1
    Beautiful
  • 1
    Wounderful
  • 1
    Opensource
  • 1
    Not Microsoft Owned
  • 1
    Many private repo
  • 1
    Published IP list for whitelisting (gl-infra#434)
  • 1
    The dashboard with deployed environments
  • 1
    HipChat intergration
  • 1
    Kubernetes Integration
  • 1
    Native CI
  • 1
    Powerful Continuous Integration System
  • 1
    It includes everything I need, all packaged with docker
  • 0
    Supports Radius/Ldap & Browser Code Edits
CONS OF GITLAB
  • 27
    Slow ui performance
  • 7
    Introduce breaking bugs every release
  • 5
    Insecure (no published IP list for whitelisting)
  • 1
    Built-in Docker Registry
  • 0
    Review Apps feature

related GitLab posts

Tim Abbott
Shared insights
on
GitHubGitHubGitLabGitLab
at

I have mixed feelings on GitHub as a product and our use of it for the Zulip open source project. On the one hand, I do feel that being on GitHub helps people discover Zulip, because we have enough stars (etc.) that we rank highly among projects on the platform. and there is a definite benefit for lowering barriers to contribution (which is important to us) that GitHub has such a dominant position in terms of what everyone has accounts with.

But even ignoring how one might feel about their new corporate owner (MicroSoft), in a lot of ways GitHub is a bad product for open source projects. Years after the "Dear GitHub" letter, there are still basic gaps in its issue tracker:

  • You can't give someone permission to label/categorize issues without full write access to a project (including ability to merge things to master, post releases, etc.).
  • You can't let anyone with a GitHub account self-assign issues to themselves.
  • Many more similar issues.

It's embarrassing, because I've talked to GitHub product managers at various open source events about these things for 3 years, and they always agree the thing is important, but then nothing ever improves in the Issues product. Maybe the new management at MicroSoft will fix their product management situation, but if not, I imagine we'll eventually do the migration to GitLab.

We have a custom bot project, http://github.com/zulip/zulipbot, to deal with some of these issues where possible, and every other large project we talk to does the same thing, more or less.

See more
Joshua Dean Küpper
CEO at Scrayos UG (haftungsbeschränkt) · | 20 upvotes · 382.1K views

We use GitLab CI because of the great native integration as a part of the GitLab framework and the linting-capabilities it offers. The visualization of complex pipelines and the embedding within the project overview made Gitlab CI even more convenient. We use it for all projects, all deployments and as a part of GitLab Pages.

While we initially used the Shell-executor, we quickly switched to the Docker-executor and use it exclusively now.

We formerly used Jenkins but preferred to handle everything within GitLab . Aside from the unification of our infrastructure another motivation was the "configuration-in-file"-approach, that Gitlab CI offered, while Jenkins support of this concept was very limited and users had to resort to using the webinterface. Since the file is included within the repository, it is also version controlled, which was a huge plus for us.

See more
Spinnaker logo

Spinnaker

217
320
9
Multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence
217
320
+ 1
9
PROS OF SPINNAKER
  • 9
    Mature
CONS OF SPINNAKER
  • 2
    No GitOps
  • 1
    Configuration time
  • 1
    Management overhead
  • 1
    Ease of use

related Spinnaker posts

John Kodumal

LaunchDarkly is almost a five year old company, and our methodology for deploying was state of the art... for 2014. We recently undertook a project to modernize the way we #deploy our software, moving from Ansible-based deploy scripts that executed on our local machines, to using Spinnaker (along with Terraform and Packer) as the basis of our deployment system. We've been using Armory's enterprise Spinnaker offering to make this project a reality.

See more
Heroku logo

Heroku

22.2K
17.7K
3.2K
Build, deliver, monitor and scale web apps and APIs with a trail blazing developer experience.
22.2K
17.7K
+ 1
3.2K
PROS OF HEROKU
  • 704
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
  • 190
    Easy setup
  • 174
    Add-ons for almost everything
  • 153
    Beginner friendly
  • 150
    Better for startups
  • 133
    Low learning curve
  • 48
    Postgres hosting
  • 41
    Easy to add collaborators
  • 30
    Faster development
  • 24
    Awesome documentation
  • 19
    Simple rollback
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    Focus on product, not deployment
  • 15
    Natural companion for rails development
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    Easy integration
  • 12
    Great customer support
  • 8
    GitHub integration
  • 6
    Painless & well documented
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    No-ops
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    I love that they make it free to launch a side project
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    Free
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    Great UI
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    Just works
  • 2
    PostgreSQL forking and following
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    MySQL extension
  • 1
    Security
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    Sec
CONS OF HEROKU
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    Super expensive
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    Not a whole lot of flexibility
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    Low performance on free tier
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related Heroku posts

Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 1.6M views

StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

#StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 29 upvotes · 4.4M views

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.
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Google App Engine

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PROS OF GOOGLE APP ENGINE
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    Low cost
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    Comprehensive set of features
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    related Google App Engine posts

    Nick Rockwell
    SVP, Engineering at Fastly · | 11 upvotes · 320.5K views

    So, the shift from Amazon EC2 to Google App Engine and generally #AWS to #GCP was a long decision and in the end, it's one that we've taken with eyes open and that we reserve the right to modify at any time. And to be clear, we continue to do a lot of stuff with AWS. But, by default, the content of the decision was, for our consumer-facing products, we're going to use GCP first. And if there's some reason why we don't think that's going to work out great, then we'll happily use AWS. In practice, that hasn't really happened. We've been able to meet almost 100% of our needs in GCP.

    So it's basically mostly Google Kubernetes Engine , we're mostly running stuff on Kubernetes right now.

    #AWStoGCPmigration #cloudmigration #migration

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    Aliadoc Team

    In #Aliadoc, we're exploring the crowdfunding option to get traction before launch. We are building a SaaS platform for website design customization.

    For the Admin UI and website editor we use React and we're currently transitioning from a Create React App setup to a custom one because our needs have become more specific. We use CloudFlare as much as possible, it's a great service.

    For routing dynamic resources and proxy tasks to feed websites to the editor we leverage CloudFlare Workers for improved responsiveness. We use Firebase for our hosting needs and user authentication while also using several Cloud Functions for Firebase to interact with other services along with Google App Engine and Google Cloud Storage, but also the Real Time Database is on the radar for collaborative website editing.

    We generally hate configuration but honestly because of the stage of our project we lack resources for doing heavy sysops work. So we are basically just relying on Serverless technologies as much as we can to do all server side processing.

    Visual Studio Code definitively makes programming a much easier and enjoyable task, we just love it. We combine it with Bitbucket for our source code control needs.

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