I am currently learning web development with Python and JavaScript course by CS50 Harvard university. It covers python, Flask, Django, SQL, Travis CI, javascript,HTML ,CSS and more. I am very interested in Flutter app development. Can I know what is the difference between learning these above-mentioned frameworks vs learning flutter directly? I am planning to learn flutter so that I can do both web development and app development. Are there any perks of learning these frameworks before flutter?","private":false,"viewCount":709291,"publishedAt":"2020-04-28T13:43:55Z","upvotesCount":7,"decisionType":"getAdvice","fromTools":[],"toTools":[],"subjectTools":[{"type":"id","generated":false,"id":"Tool:101231774111549176","typename":"Tool"},{"type":"id","generated":false,"id":"Tool:101231773837565192","typename":"Tool"},{"type":"id","generated":false,"id":"Tool:101231773939333405","typename":"Tool"}],"services":[{"type":"id","generated":false,"id":"Tool:101231773840406851","typename":"Tool"},{"type":"id","generated":false,"id":"Tool:101231777036008618","typename":"Tool"},{"type":"id","generated":false,"id":"Tool:101231773636491087","typename":"Tool"},{"type":"id","generated":false,"id":"Tool:101231773837565192","typename":"Tool"},{"type":"id","generated":false,"id":"Tool:101231773939333405","typename":"Tool"},{"type":"id","generated":false,"id":"Tool:101231773837179153","typename":"Tool"}],"topics":[],"__typename":"StackDecision"},"Tool:101231774111549176":{"id":"101231774111549176","name":"Dart","slug":"dart","title":"A new web programming language with libraries, a virtual machine, and tools","verified":false,"imageUrl":"https://img.stackshare.io/service/1646/Twitter-02.png","canonicalUrl":"/dart","path":"/dart","votes":452,"fans":4470,"stacks":3911,"followingTool":false,"followContext":null,"__typename":"Tool"},"Tool:101231773837565192":{"id":"101231773837565192","name":"Django","slug":"django","title":"The Web framework for perfectionists with deadlines","verified":false,"imageUrl":"https://img.stackshare.io/service/994/4aGjtNQv.png","canonicalUrl":"/django","path":"/django","votes":4208,"fans":39460,"stacks":37659,"followingTool":false,"followContext":null,"__typename":"Tool","thumbUrl":"https://img.stackshare.io/service/994/thumb_4aGjtNQv.png","following":false},"Tool:101231773939333405":{"id":"101231773939333405","name":"JavaScript","slug":"javascript","title":"Lightweight, interpreted, object-oriented language with first-class functions","verified":false,"imageUrl":"https://img.stackshare.io/service/1209/javascript.jpeg","canonicalUrl":"/javascript","path":"/javascript","votes":8072,"fans":312676,"stacks":360760,"followingTool":false,"followContext":null,"__typename":"Tool","thumbUrl":"https://img.stackshare.io/service/1209/thumb_javascript.jpeg","following":false},"Tool:101231773840406851":{"name":"Flask","path":"/flask","id":"101231773840406851","imageUrl":"https://img.stackshare.io/service/1001/default_6d109315b60108628b7cd3e159b84645c31ef0e2.png","thumbUrl":"https://img.stackshare.io/service/1001/thumb_6d109315b60108628b7cd3e159b84645c31ef0e2.png","stacks":19014,"fans":19615,"votes":66,"followingTool":false,"__typename":"Tool"},"Tool:101231777036008618":{"name":"Flutter","path":"/flutter","id":"101231777036008618","imageUrl":"https://img.stackshare.io/service/7180/flutter-mark-square-100.png","thumbUrl":"https://img.stackshare.io/service/7180/thumb_flutter-mark-square-100.png","stacks":16867,"fans":18190,"votes":1175,"followingTool":false,"__typename":"Tool"},"Tool:101231773837179153":{"name":"Python","path":"/python","id":"101231773837179153","imageUrl":"https://img.stackshare.io/service/993/pUBY5pVj.png","thumbUrl":"https://img.stackshare.io/service/993/thumb_pUBY5pVj.png","stacks":244835,"fans":226661,"votes":6882,"followingTool":false,"__typename":"Tool","slug":"python","title":"A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.","verified":false,"canonicalUrl":"/python","following":false,"followContext":null},"$Tool:101231773636491087.stackDecisions({\"first\":6}).edges.0":{"node":{"type":"id","generated":false,"id":"StackDecision:104076504946816502","typename":"StackDecision"},"__typename":"StackDecisionEdge"},"User:101232110333797933":{"id":"101232110333797933","username":"sgbett","title":"Managing Director","companyName":"Bettison.org Limited","imageUrl":"https://img.stackshare.io/user/232476/default_dd7d5a5759a1d489a02ebe825772d0d795e47d56.jpg","thumbUrl":"https://img.stackshare.io/user/232476/thumb_dd7d5a5759a1d489a02ebe825772d0d795e47d56.jpg","displayName":"Simon Bettison","__typename":"User"},"StackDecision:101812154729512342":{"user":{"type":"id","generated":false,"id":"User:101232110333797933","typename":"User"},"company":{"type":"id","generated":true,"id":"$StackDecision:101812154729512342.company","typename":"Company"},"link":null,"publicId":"101812154729512342","id":"101812154729512342","htmlContent":"

In 2012 we made the very difficult decision to entirely re-engineer our existing monolithic LAMP application from the ground up in order to address some growing concerns about it's long term viability as a platform.\n\n

Full application re-write is almost always never the answer, because of the risks involved. However the situation warranted drastic action as it was clear that the existing product was going to face severe scaling issues. We felt it better address these sooner rather than later and also take the opportunity to improve the international architecture and also to refactor the database in. order that it better matched the changes in core functionality.\n\n

PostgreSQL was chosen for its reputation as being solid ACID compliant database backend, it was available as an offering AWS RDS service which reduced the management overhead of us having to configure it ourselves. In order to reduce read load on the primary database we implemented an Elasticsearch layer for fast and scalable search operations. Synchronisation of these indexes was to be achieved through the use of Sidekiq's Redis based background workers on Amazon ElastiCache. Again the AWS solution here looked to be an easy way to keep our involvement in managing this part of the platform at a minimum. Allowing us to focus on our core business.\n\n

Rails ls was chosen for its ability to quickly get core functionality up and running, its MVC architecture and also its focus on Test Driven Development using RSpec and Selenium with Travis CI providing continual integration. We also liked Ruby for its terse, clean and elegant syntax. Though YMMV on that one!\n\n

Unicorn was chosen for its continual deployment and reputation as a reliable application server, nginx for its reputation as a fast and stable reverse-proxy. We also took advantage of the Amazon CloudFront CDN here to further improve performance by caching static assets globally.\n\n

We tried to strike a balance between having control over management and configuration of our core application with the convenience of being able to leverage AWS hosted services for ancillary functions (Amazon SES , Amazon SQS Amazon Route 53 all hosted securely inside Amazon VPC of course!). \n\n

Whilst there is some compromise here with potential vendor lock in, the tasks being performed by these ancillary services are no particularly specialised which should mitigate this risk. 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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.\nWe 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.\n\n

To build our #Backend capabilities we decided to use the following:\n1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask \n2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda \n3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas \n\n

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

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

A hosted continuous integration service for open source and private projects
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What is 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.
Travis CI is a tool in the Continuous Integration category of a tech stack.

Who uses Travis CI?

Companies
1111 companies reportedly use Travis CI in their tech stacks, including Delivery Hero, Lyft, and Accenture.

Developers
7871 developers on StackShare have stated that they use Travis CI.

Travis CI Integrations

GitHub, MySQL, npm, Slack, and Amazon S3 are some of the popular tools that integrate with Travis CI. Here's a list of all 93 tools that integrate with Travis CI.
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
Decisions about Travis CI

Here are some stack decisions, common use cases and reviews by companies and developers who chose Travis CI in their tech stack.

Muhamed Suhail
| 7 upvotes · 709.3K views
Needs advice
on
DartDartDjangoDjango
and
JavaScriptJavaScript

I am currently learning web development with Python and JavaScript course by CS50 Harvard university. It covers python, Flask, Django, SQL, Travis CI, javascript,HTML ,CSS and more. I am very interested in Flutter app development. Can I know what is the difference between learning these above-mentioned frameworks vs learning flutter directly? I am planning to learn flutter so that I can do both web development and app development. Are there any perks of learning these frameworks before flutter?

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Simon Bettison
Managing Director at Bettison.org Limited · | 8 upvotes · 827.1K views
Shared insights
at

In 2012 we made the very difficult decision to entirely re-engineer our existing monolithic LAMP application from the ground up in order to address some growing concerns about it's long term viability as a platform.

Full application re-write is almost always never the answer, because of the risks involved. However the situation warranted drastic action as it was clear that the existing product was going to face severe scaling issues. We felt it better address these sooner rather than later and also take the opportunity to improve the international architecture and also to refactor the database in. order that it better matched the changes in core functionality.

PostgreSQL was chosen for its reputation as being solid ACID compliant database backend, it was available as an offering AWS RDS service which reduced the management overhead of us having to configure it ourselves. In order to reduce read load on the primary database we implemented an Elasticsearch layer for fast and scalable search operations. Synchronisation of these indexes was to be achieved through the use of Sidekiq's Redis based background workers on Amazon ElastiCache. Again the AWS solution here looked to be an easy way to keep our involvement in managing this part of the platform at a minimum. Allowing us to focus on our core business.

Rails ls was chosen for its ability to quickly get core functionality up and running, its MVC architecture and also its focus on Test Driven Development using RSpec and Selenium with Travis CI providing continual integration. We also liked Ruby for its terse, clean and elegant syntax. Though YMMV on that one!

Unicorn was chosen for its continual deployment and reputation as a reliable application server, nginx for its reputation as a fast and stable reverse-proxy. We also took advantage of the Amazon CloudFront CDN here to further improve performance by caching static assets globally.

We tried to strike a balance between having control over management and configuration of our core application with the convenience of being able to leverage AWS hosted services for ancillary functions (Amazon SES , Amazon SQS Amazon Route 53 all hosted securely inside Amazon VPC of course!).

Whilst there is some compromise here with potential vendor lock in, the tasks being performed by these ancillary services are no particularly specialised which should mitigate this risk. Furthermore we have already containerised the stack in our development using Docker environment, and looking to how best to bring this into production - potentially using Amazon EC2 Container Service

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Praveen Mooli
Engineering Manager at Taylor and Francis · | 19 upvotes · 4M views
Shared insights
on
DockerDockerTravis CITravis CIGitHubGitHubTerraformTerraformServerlessServerless

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
See all decisions

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Travis CI's Features

  • Easy Setup- Getting started with Travis CI is as easy as enabling a project, adding basic build instructions to your project and committing code.
  • Supports Your Platform- Lots of databases and services are pre-installed and can simply be enabled in your build configuration, we'll launch them for you automatically. MySQL, PostgreSQL, ElasticSearch, Redis, Riak, RabbitMQ, Memcached are available by default.
  • Deploy With Confidence- Deploying to production after a successful build is as easy as setting up a bit of configuration, and we'll deploy your code to Heroku, Engine Yard Cloud, Nodejitsu, cloudControl, OpenShift, and CloudFoundry.

Travis CI Alternatives & Comparisons

What are some alternatives to Travis CI?
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
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.
GitLab CI
GitLab offers a continuous integration service. If you add a .gitlab-ci.yml file to the root directory of your repository, and configure your GitLab project to use a Runner, then each merge request or push triggers your CI pipeline.
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.
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.
See all alternatives
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Travis CI's Followers
6668 developers follow Travis CI to keep up with related blogs and decisions.

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