Fly.io Reviews

Apache Cassandra Reviews

Fly.io mentions (443)

• Securing Your Next.js with Arcjet on Fly.io with Lightning-Fast Deployment

  Fly.io is a platform that enables developers to deploy and run their applications close to their users. It leverages a global network of servers to provide low-latency, high-performance hosting solutions. It simplifies the deployment process by offering a powerful CLI and automated workflows, making it easy to deploy applications with minimal hassle. Additionally, Fly.io supports various programming languages and... - Source: dev.to / 13 days ago

• Leveraging Wasp for full-stack development

  With the Wasp CLI, you can deploy the React frontend, Node.js backend (server), and PostgreSQL database generated by the Wasp compiler to Fly.io with a single command. - Source: dev.to / 19 days ago

• Show HN: Serverless Postgres

  This is a MVP for Serverless Postgres. 1/ It uses Fly.io[0], which can automatically pause your database after all connections are released (and start it again when new connections join). 2/ It uses Oriole[1], a Postgres extension with experimental support for S3 / Decoupled Storage[2]. 3/ It uses Tigris[3], Globally Distributed S3-Compatible Object Storage. Oriole will automatically backup the data to Tigris... - Source: Hacker News / 23 days ago

• Good alternatives to Heroku

  Fly.io - Very similar to Heroku too, easy to use and support for multiple stacks/languages. - Source: dev.to / 27 days ago

• Efficient Data Management with Prisma, Fly.io, and LiteFS Configuration

  Fly.io is a cloud platform that allows developers to easily deploy scalable applications. In this article, we will introduce how to manage databases effectively in an application using Remix, Prisma, and LiteFS on Fly.io. - Source: dev.to / about 1 month ago

Apache Cassandra mentions (41)

• Consistent Hashing: An Overview and Implementation in Golang

  Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 months ago

• Understanding SQL vs. NoSQL Databases: A Beginner's Guide

  On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 2 months ago

• How to choose the right type of database

  HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago

• Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.

  Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 9 months ago

• How to Choose the Right Document-Oriented NoSQL Database for Your Application

  NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 10 months ago