Laravel VS Amazon Kinesis

Laravel Reviews

Amazon Kinesis Reviews

Laravel mentions (198)

• Introduction to APIATO: A Powerful Framework for API Development

  APIATO builds on the Laravel framework, utilizing its powerful features such as Eloquent ORM, routing, middleware, and more. This means that developers familiar with Laravel can easily transition to using APIATO. - Source: dev.to / about 8 hours ago

• How to Level Up Your Laravel Development

  Laravel is a popular framework for PHP, known for making web development easier and faster. To help you get even more productive with Laravel, we’ll look at three simple strategies: using Laravel Herd as your local host, upgrading to Laravel 11, and adding real-time communication with Laravel Reverb. - Source: dev.to / about 12 hours ago

• Transforming API requests and responses in Laravel 11 - The easy way

  I've been working on an application using Next.js on the front-end and Laravel on the back-end as a traditional REST API. As you may know, snake_case is the naming convention for variable and function names in PHP, while camelCase is the naming convention in JavaScript. My database tables and columns use snake_case as well, so I stuck to that design. - Source: dev.to / 4 days ago

• The PHP Orkestra Framework

  Currently Laravel is the "go to" for new PHP applications to mostly developers today, if not, plain PHP, Slim, Symfony and other frameworks does the job, but for Wordpress, custom PHP boilerplates or/and outdated PHP patterns (aka, single ton) is what we have for work in mostly cases, if not, hacky ways to integrate frameworks as Laravel itself or parts of it to leverage a better code structure. - Source: dev.to / 12 days ago

• RESTful APIs with Laravel: Best Practices

  Laravel is a popular PHP framework known for its expressive syntax and rich ecosystem of features. Here's why it shines for building RESTful APIs:. - Source: dev.to / about 1 month ago

Amazon Kinesis mentions (23)

• Event-Driven Architecture on AWS

  Event Consumers: Services that actively listen for events and respond accordingly. These consumers can be easily implemented using microservices, AWS Lambda or Amazon Kinesis (for ingesting, processing, and analyzing streaming data in real-time). - Source: dev.to / 17 days ago

• AWS DEV OPS Professional Exam short notes

  When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit... - Source: dev.to / 2 months ago

• Querying microservices in real-time with materialized views

  RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / about 1 year ago

• How Streaming database differs from a Traditional database?

  For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago

• Query Real Time Data in Kafka Using SQL

  RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago