Ruby on Rails Reviews

1. Stan

   | Founder at SaaSHub | 15 days ago
   The most productive web framework

   Yes, there are other more trending frameworks; however, nothing reaches the productivity of Rails. It's simply unbeatable if you have a small team.

   For example both SaaSHub and LibHunt were built on Rails.

   🏁 Competitors: Django, Laravel

Google Cloud Dataflow Reviews

Ruby on Rails mentions (121)

• Building an Ruby on Rails MVP.

  Ruby on Rails, in my opinion, is the most productive full-stack web framework to-date. - Source: dev.to / about 21 hours ago

• How to have a clean CSS structure with RSCSS/ITCSS

  Let’s look at two technical solutions — RSCSS/ITCSS. This is indeed a perfect combination of instruments which we use in our projects built on React and Ruby on Rails. - Source: dev.to / 10 days ago

• On the road to ramen profitability 🍜 💸

  A 7.1 Ruby on Rails application hosted on a Hetzner VPS and deployed via Kamal. - Source: dev.to / 18 days ago

• Should You Use Ruby on Rails or Hanami?

  Industry adoption - Without including the adoption of other popular and more established frameworks like Python, React, C#, and others, if we consider the adoption of Ruby frameworks, Rails easily eclipses Hanami. The Rails homepage lists some big-name organizations using the framework. On the other hand, as the new kid on the block, Hanami is not so widely adopted. We'll have to wait and see whether that will... - Source: dev.to / 16 days ago

• Client side Git hooks 101

  Here's a real life example: Imagine a Ruby on Rails app on which a team of developers are working. The code is hosted on GitLab and all the work is coordinated using GitLab issues. In other words: For every commit, there's an associated issue and the issue number acts as a sort of primary key for documentation, time reporting and so forth. This convention has a few advantages, most notably the ability to easily... - Source: dev.to / about 2 months ago

Google Cloud Dataflow mentions (14)

• How do you implement CDC in your organization

  Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago

• Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!

  This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago

• How are view/listen counts rolled up on something like Spotify/YouTube?

  I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago

• Best way to export several GCP datasets to AWS?

  You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago

• Why we don’t use Spark

  It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago