Laravel Reviews

Google Cloud Dataflow Reviews

Laravel mentions (203)

• Laravel 11.x Sanctum SPA authentication with Postman!

  For those who are unfamiliar with Laravel, it is a very popular monolithic PHP web framework similar to others like Ruby on Rails. It is known for its ease of use, rapid development and making PHP development far more enjoyable haha! - Source: dev.to / 8 days ago

• Embracing the Future of Web Development with Laravel, PestPHP, Livewire and Vue.js

  From the moment I started using Laravel, I knew it was more than just a framework; it was a real game changer! Laravel's elegant syntax and powerful features made backend development a pleasure. It feels like Laravel understands what developers need, providing solutions before we even realize we need them. Every time I embark on a new project, Laravel proves to be the reliable backbone, offering stability and... - Source: dev.to / 8 days ago

• Why We Don't have a Laravel for JavaScript… Yet

  And if you’re not familiar with tools like Laravel and Ruby-on-Rails, they are opinionated full-stack frameworks (for PHP and Ruby) with lots of built-in features that follow established conventions so that developers can write less boilerplate and more business logic, while getting the industry best practices baked into their app. - Source: dev.to / 23 days ago

• Generate a Laravel CRUD (Create, Read, Update, Delete) in 5 minutes.

  Laravel is excellent at building #PHP applications, and Backpack is excellent at building Laravel CRUDs & Admin Panel. Check out the wide variety of fields & columns it offers. - Source: dev.to / 27 days ago

• Laravel Passport: API authentication with access and refresh token

  In this tutorial, we are using the latest version of Laravel which is Laravel 11. - Source: dev.to / about 1 month 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