Alternatives to Heroku CI logo

Alternatives to Heroku CI

CircleCI, Travis CI, Heroku, Jenkins, and GitHub Actions are the most popular alternatives and competitors to Heroku CI.
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What is Heroku CI and what are its top alternatives?

On every push to GitHub, Heroku CI runs your tests in a disposable Heroku app, so there’s never a wait time for a free CI worker. Tests run fast, on Performance dynos.
Heroku CI is a tool in the Continuous Integration category of a tech stack.

Top Alternatives to Heroku CI

  • 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. ...

  • Travis CI
    Travis CI

    Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally. ...

  • 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. ...

  • 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. ...

  • GitHub Actions
    GitHub Actions

    It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

Heroku CI alternatives & related posts

CircleCI logo

CircleCI

12.7K
7K
974
Automate your development process quickly, safely, and at scale
12.7K
7K
+ 1
974
PROS OF CIRCLECI
  • 226
    Github integration
  • 177
    Easy setup
  • 153
    Fast builds
  • 94
    Competitively priced
  • 74
    Slack integration
  • 55
    Docker support
  • 45
    Awesome UI
  • 33
    Great customer support
  • 18
    Ios support
  • 14
    Hipchat integration
  • 13
    SSH debug access
  • 11
    Free for Open Source
  • 6
    Mobile support
  • 5
    Nodejs support
  • 5
    Bitbucket integration
  • 5
    YAML configuration
  • 4
    AWS CodeDeploy integration
  • 3
    Free for Github private repo
  • 3
    Great support
  • 2
    Clojurescript
  • 2
    Continuous Deployment
  • 2
    Parallelism
  • 2
    Clojure
  • 2
    OSX support
  • 2
    Simple, clean UI
  • 1
    Unstable
  • 1
    Ci
  • 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
    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

Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 2.6M 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

See more
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M 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.
See more
Travis CI logo

Travis CI

26.2K
6.6K
1.7K
A hosted continuous integration service for open source and private projects
26.2K
6.6K
+ 1
1.7K
PROS OF TRAVIS CI
  • 506
    Github integration
  • 388
    Free for open source
  • 271
    Easy to get started
  • 191
    Nice interface
  • 162
    Automatic deployment
  • 72
    Tutorials for each programming language
  • 40
    Friendly folks
  • 29
    Support for multiple ruby versions
  • 28
    Osx support
  • 24
    Easy handling of secret keys
  • 6
    Fast builds
  • 4
    Support for students
  • 3
    The best tool for Open Source CI
  • 3
    Hosted
  • 3
    Build Matrices
  • 2
    Github Pull Request build
  • 2
    Straightforward Github/Coveralls integration
  • 2
    Easy of Usage
  • 2
    Integrates with everything
  • 1
    Caching resolved artifacts
  • 1
    Docker support
  • 1
    Great Documentation
  • 1
    Build matrix
  • 1
    No-brainer for CI
  • 1
    Debug build workflow
  • 1
    Ubuntu trusty is not supported
  • 1
    Free for students
  • 1
    Configuration saved with project repository
  • 1
    Multi-threaded run
  • 1
    Hipchat Integration
  • 0
    Perfect
CONS OF TRAVIS CI
  • 8
    Can't be hosted insternally
  • 3
    Feature lacking
  • 3
    Unstable
  • 2
    Incomplete documentation for all platforms

related Travis CI posts

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
Praveen Mooli
Engineering Manager at Taylor and Francis · | 18 upvotes · 3.9M views

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

See more
Heroku logo

Heroku

25.4K
20.2K
3.2K
Build, deliver, monitor and scale web apps and APIs with a trail blazing developer experience.
25.4K
20.2K
+ 1
3.2K
PROS OF HEROKU
  • 703
    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
  • 19
    Focus on product, not deployment
  • 15
    Natural companion for rails development
  • 15
    Easy integration
  • 12
    Great customer support
  • 8
    GitHub integration
  • 6
    Painless & well documented
  • 6
    No-ops
  • 4
    I love that they make it free to launch a side project
  • 4
    Free
  • 3
    Great UI
  • 3
    Just works
  • 2
    PostgreSQL forking and following
  • 2
    MySQL extension
  • 1
    Security
  • 1
    Able to host stuff good like Discord Bot
  • 0
    Sec
CONS OF HEROKU
  • 27
    Super expensive
  • 9
    Not a whole lot of flexibility
  • 7
    No usable MySQL option
  • 7
    Storage
  • 5
    Low performance on free tier
  • 2
    24/7 support is $1,000 per month

related Heroku posts

Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 2.6M 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

See more
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M 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.
See more
Jenkins logo

Jenkins

57.8K
49.3K
2.2K
An extendable open source continuous integration server
57.8K
49.3K
+ 1
2.2K
PROS OF JENKINS
  • 523
    Hosted internally
  • 469
    Free open source
  • 318
    Great to build, deploy or launch anything async
  • 243
    Tons of integrations
  • 211
    Rich set of plugins with good documentation
  • 111
    Has support for build pipelines
  • 68
    Easy setup
  • 66
    It is open-source
  • 53
    Workflow plugin
  • 13
    Configuration as code
  • 12
    Very powerful tool
  • 11
    Many Plugins
  • 10
    Continuous Integration
  • 10
    Great flexibility
  • 9
    Git and Maven integration is better
  • 8
    100% free and open source
  • 7
    Slack Integration (plugin)
  • 7
    Github integration
  • 6
    Self-hosted GitLab Integration (plugin)
  • 6
    Easy customisation
  • 5
    Pipeline API
  • 5
    Docker support
  • 4
    Fast builds
  • 4
    Hosted Externally
  • 4
    Excellent docker integration
  • 4
    Platform idnependency
  • 3
    AWS Integration
  • 3
    JOBDSL
  • 3
    It's Everywhere
  • 3
    Customizable
  • 3
    Can be run as a Docker container
  • 3
    It`w worked
  • 2
    Loose Coupling
  • 2
    NodeJS Support
  • 2
    Build PR Branch Only
  • 2
    Easily extendable with seamless integration
  • 2
    PHP Support
  • 2
    Ruby/Rails Support
  • 2
    Universal controller
CONS OF JENKINS
  • 13
    Workarounds needed for basic requirements
  • 10
    Groovy with cumbersome syntax
  • 8
    Plugins compatibility issues
  • 7
    Lack of support
  • 7
    Limited abilities with declarative pipelines
  • 5
    No YAML syntax
  • 4
    Too tied to plugins versions

related Jenkins posts

Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 8.7M 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
GitHub Actions logo

GitHub Actions

22.8K
2.5K
27
Automate your workflow from idea to production
22.8K
2.5K
+ 1
27
PROS OF GITHUB ACTIONS
  • 8
    Integration with GitHub
  • 5
    Free
  • 3
    Easy to duplicate a workflow
  • 3
    Ready actions in Marketplace
  • 2
    Configs stored in .github
  • 2
    Docker Support
  • 2
    Read actions in Marketplace
  • 1
    Active Development Roadmap
  • 1
    Fast
CONS OF GITHUB ACTIONS
  • 5
    Lacking [skip ci]
  • 4
    Lacking allow failure
  • 3
    Lacking job specific badges
  • 2
    No ssh login to servers
  • 1
    No Deployment Projects
  • 1
    No manual launch

related GitHub Actions posts

Somnath Mahale
Engineering Leader at Altimetrik Corp. · | 8 upvotes · 1.7M views

I am in the process of evaluating CircleCI, Drone.io, and Github Actions to cover my #CI/ CD needs. I would appreciate your advice on comparative study w.r.t. attributes like language-Inclusive support, code-base integration, performance, cost, maintenance, support, ease of use, ability to deal with big projects, etc. based on actual industry experience.

Thanks in advance!

See more
Shubham Chadokar
Software Engineer Specialist at Kaleyra · | 6 upvotes · 33.5K views

I have created a SaaS application. 1 backend service and 2 frontend services, all 3 run on different ports. I am using Amazon ECR images to deploy them on the EC2 server. My code is on GitHub. I want to automate this deployment process. How can I do this, and What tech stack should I use? It should be in sync with what I am currently using. On merge to master, it should build push the image to ECR and then later deploy again in the EC2 with the latest image. Maybe GitHub Actions or AWS CodePipeline would be ideal. Thanks, Shubham

See more
JavaScript logo

JavaScript

352.8K
268.4K
8.1K
Lightweight, interpreted, object-oriented language with first-class functions
352.8K
268.4K
+ 1
8.1K
PROS OF JAVASCRIPT
  • 1.7K
    Can be used on frontend/backend
  • 1.5K
    It's everywhere
  • 1.2K
    Lots of great frameworks
  • 897
    Fast
  • 745
    Light weight
  • 425
    Flexible
  • 392
    You can't get a device today that doesn't run js
  • 286
    Non-blocking i/o
  • 237
    Ubiquitousness
  • 191
    Expressive
  • 55
    Extended functionality to web pages
  • 49
    Relatively easy language
  • 46
    Executed on the client side
  • 30
    Relatively fast to the end user
  • 25
    Pure Javascript
  • 21
    Functional programming
  • 15
    Async
  • 13
    Full-stack
  • 12
    Setup is easy
  • 12
    Future Language of The Web
  • 12
    Its everywhere
  • 11
    Because I love functions
  • 11
    JavaScript is the New PHP
  • 10
    Like it or not, JS is part of the web standard
  • 9
    Expansive community
  • 9
    Everyone use it
  • 9
    Can be used in backend, frontend and DB
  • 9
    Easy
  • 8
    Most Popular Language in the World
  • 8
    Powerful
  • 8
    Can be used both as frontend and backend as well
  • 8
    For the good parts
  • 8
    No need to use PHP
  • 8
    Easy to hire developers
  • 7
    Agile, packages simple to use
  • 7
    Love-hate relationship
  • 7
    Photoshop has 3 JS runtimes built in
  • 7
    Evolution of C
  • 7
    It's fun
  • 7
    Hard not to use
  • 7
    Versitile
  • 7
    Its fun and fast
  • 7
    Nice
  • 7
    Popularized Class-Less Architecture & Lambdas
  • 7
    Supports lambdas and closures
  • 6
    It let's me use Babel & Typescript
  • 6
    Can be used on frontend/backend/Mobile/create PRO Ui
  • 6
    1.6K Can be used on frontend/backend
  • 6
    Client side JS uses the visitors CPU to save Server Res
  • 6
    Easy to make something
  • 5
    Clojurescript
  • 5
    Promise relationship
  • 5
    Stockholm Syndrome
  • 5
    Function expressions are useful for callbacks
  • 5
    Scope manipulation
  • 5
    Everywhere
  • 5
    Client processing
  • 5
    What to add
  • 4
    Because it is so simple and lightweight
  • 4
    Only Programming language on browser
  • 1
    Test
  • 1
    Hard to learn
  • 1
    Test2
  • 1
    Not the best
  • 1
    Easy to understand
  • 1
    Subskill #4
  • 1
    Easy to learn
  • 0
    Hard 彤
CONS OF JAVASCRIPT
  • 22
    A constant moving target, too much churn
  • 20
    Horribly inconsistent
  • 15
    Javascript is the New PHP
  • 9
    No ability to monitor memory utilitization
  • 8
    Shows Zero output in case of ANY error
  • 7
    Thinks strange results are better than errors
  • 6
    Can be ugly
  • 3
    No GitHub
  • 2
    Slow

related JavaScript posts

Zach Holman

Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

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Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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Git logo

Git

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PROS OF GIT
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    Distributed version control system
  • 1.1K
    Efficient branching and merging
  • 959
    Fast
  • 845
    Open source
  • 726
    Better than svn
  • 368
    Great command-line application
  • 306
    Simple
  • 291
    Free
  • 232
    Easy to use
  • 222
    Does not require server
  • 27
    Distributed
  • 22
    Small & Fast
  • 18
    Feature based workflow
  • 15
    Staging Area
  • 13
    Most wide-spread VSC
  • 11
    Role-based codelines
  • 11
    Disposable Experimentation
  • 7
    Frictionless Context Switching
  • 6
    Data Assurance
  • 5
    Efficient
  • 4
    Just awesome
  • 3
    Github integration
  • 3
    Easy branching and merging
  • 2
    Compatible
  • 2
    Flexible
  • 2
    Possible to lose history and commits
  • 1
    Rebase supported natively; reflog; access to plumbing
  • 1
    Light
  • 1
    Team Integration
  • 1
    Fast, scalable, distributed revision control system
  • 1
    Easy
  • 1
    Flexible, easy, Safe, and fast
  • 1
    CLI is great, but the GUI tools are awesome
  • 1
    It's what you do
  • 0
    Phinx
CONS OF GIT
  • 16
    Hard to learn
  • 11
    Inconsistent command line interface
  • 9
    Easy to lose uncommitted work
  • 7
    Worst documentation ever possibly made
  • 5
    Awful merge handling
  • 3
    Unexistent preventive security flows
  • 3
    Rebase hell
  • 2
    When --force is disabled, cannot rebase
  • 2
    Ironically even die-hard supporters screw up badly
  • 1
    Doesn't scale for big data

related Git posts

Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M 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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Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 8.7M 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.

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GitHub logo

GitHub

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PROS OF GITHUB
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    Great for team collaboration
  • 867
    Easy setup
  • 504
    Issue tracker
  • 486
    Great community
  • 483
    Remote team collaboration
  • 451
    Great way to share
  • 442
    Pull request and features planning
  • 147
    Just works
  • 132
    Integrated in many tools
  • 121
    Free Public Repos
  • 116
    Github Gists
  • 112
    Github pages
  • 83
    Easy to find repos
  • 62
    Open source
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    It's free
  • 60
    Easy to find projects
  • 56
    Network effect
  • 49
    Extensive API
  • 43
    Organizations
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    Branching
  • 34
    Developer Profiles
  • 32
    Git Powered Wikis
  • 30
    Great for collaboration
  • 24
    It's fun
  • 23
    Clean interface and good integrations
  • 22
    Community SDK involvement
  • 20
    Learn from others source code
  • 16
    Because: Git
  • 14
    It integrates directly with Azure
  • 10
    Standard in Open Source collab
  • 10
    Newsfeed
  • 8
    It integrates directly with Hipchat
  • 8
    Fast
  • 8
    Beautiful user experience
  • 7
    Easy to discover new code libraries
  • 6
    Smooth integration
  • 6
    Cloud SCM
  • 6
    Nice API
  • 6
    Graphs
  • 6
    Integrations
  • 6
    It's awesome
  • 5
    Quick Onboarding
  • 5
    Reliable
  • 5
    Remarkable uptime
  • 5
    CI Integration
  • 5
    Hands down best online Git service available
  • 4
    Uses GIT
  • 4
    Version Control
  • 4
    Simple but powerful
  • 4
    Unlimited Public Repos at no cost
  • 4
    Free HTML hosting
  • 4
    Security options
  • 4
    Loved by developers
  • 4
    Easy to use and collaborate with others
  • 3
    Ci
  • 3
    IAM
  • 3
    Nice to use
  • 3
    Easy deployment via SSH
  • 2
    Easy to use
  • 2
    Leads the copycats
  • 2
    All in one development service
  • 2
    Free private repos
  • 2
    Free HTML hostings
  • 2
    Easy and efficient maintainance of the projects
  • 2
    Beautiful
  • 2
    Easy source control and everything is backed up
  • 2
    IAM integration
  • 2
    Very Easy to Use
  • 2
    Good tools support
  • 2
    Issues tracker
  • 2
    Never dethroned
  • 2
    Self Hosted
  • 1
    Dasf
  • 1
    Profound
CONS OF GITHUB
  • 54
    Owned by micrcosoft
  • 38
    Expensive for lone developers that want private repos
  • 15
    Relatively slow product/feature release cadence
  • 10
    API scoping could be better
  • 9
    Only 3 collaborators for private repos
  • 4
    Limited featureset for issue management
  • 3
    Does not have a graph for showing history like git lens
  • 2
    GitHub Packages does not support SNAPSHOT versions
  • 1
    No multilingual interface
  • 1
    Takes a long time to commit
  • 1
    Expensive

related GitHub posts

Johnny Bell

I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

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Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 2.6M 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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