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#kafka
Highly scalable distributed processing has been a traditionally difficult task for any team to achieve. However, with technologies like Timely Dataflow and Redpanda, today it is easier than ever to bu…
Why Selecting an appropriate hardware configuration for a Kafka broker can be more art than science. Kafka itself has no strict requirement on a specific hardware configura‐ tion, and will run without issue on any system. Once performance b…
Real-time data streaming has many use cases. You could monitor data from IoT devices, research instruments, weather systems, telescopes, etc. You can also monitor and analyze online content like a liv…
Olá pessoal, atualmente tenho entrado na área de Ciência de Dados diante do projeto que estou trabalhando no Banco do Brasil, e a partir dessa série pretendo trazer os conhecimentos adquiridos em uma …
In this article series, you’ll be learning how to integrate Redpanda with a variety of data-processing tools. This post will focus on integrating Redpanda with Apache FlinkⓇ, an open source framework …
Kafka and SQS are very popular message queues, for Kafka, it's a huge scale and operational pain, SQS with plug and play and far far less operational pain. It becomes harder to choose which one to use…
When setting up a streaming application, especially if you’re new to streaming data platforms like Redpanda, you’ll want to test that your application is set up correctly. You can do this using integr…
Why Kafka? Kafka has become the mainstay of messaging in applications with high-volume requirements According to confluent.io, Apache Kafka is an open source distributed streaming system used for str…
In 2022, over 2.5 quintillion bytes of data are created daily. As of 2025, estimates increase to 463 exabytes of data each day. Creating data is good, and being able to keep it somewhere it’s always a…
I recently started digging into Apache Kafka for a project I’m working on at work. The more I started looking into it I realized I need to get myself a local Kafka cluster to play around with. This ar…
