fd Reviews

Amazon Kinesis Reviews

fd mentions (119)

• Fzf advanced integration in Powershell

  If you want to integrate fzf with rg, fd, bat to fuzzy find files, directories or ripgrep the content of a file and preview using bat, but the fzf document only has commands for Linux shell (bash,...), and you want to achieve that on your Windows Machine using Powershell, this post may be for you. - Source: dev.to / 27 days ago

• Level Up Your Dev Workflow: Conquer Web Development with a Blazing Fast Neovim Setup (Part 1)

  Ripgrep: A super-fast file searcher. You can install it using your system's package manager (e.g., brew install ripgrep on macOS). Fd: Another blazing-fast file finder. Installation instructions can be found here: https://github.com/sharkdp/fd. - Source: dev.to / 4 months ago

• Hyperfine: A command-line benchmarking tool

  Hyperfine is such a great tool that it's one of the first I reach for when doing any sort of benchmarking. I encourage anyone who's tried hyperfine and enjoyed it to also look at sharkdp's other utilities, they're all amazing in their own right with fd[1] being the one that perhaps get the most daily use for me and has totally replaced my use of find(1). [1]: - Source: Hacker News / 5 months ago

• Z – Jump Around

  You call it with `n` and get an interactive fuzzy search for your directories. If you do `n https://github.com/sharkdp/fd. - Source: Hacker News / 6 months ago

• Unix as IDE: Introduction (2012)

  Many (most?) of them have been overhauled with success. For find there is fd[1]. There's batcat, exa (ls), ripgrep, fzf, atuin (history), delta (diff) and many more. Most are both backwards compatible and fresh and friendly. Your hardwon muscle memory still of good use. But there's sane flags and defaults too. It's faster, more colorful (if you wish), better integration with another (e.g. exa/eza or aware of git... - Source: Hacker News / 6 months 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 / 2 months 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 / 4 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 / over 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 / over 1 year ago