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Monitoring Data Replication in Multi-Datacenter Apache Kafka Deployments

Confluent

Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. I recommend you familiarize yourself with that blog post and the accompanying white paper before proceeding, because this blog post builds on those core concepts.

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Cloudera DataFlow’s key milestones and wins in 2020

Cloudera

As a matter of fact, these new challenges gave way to tremendous opportunities for businesses to optimize their key success metrics by leveraging technology. Spin up clusters of NiFi, Kafka, or Flink very quickly onto your public cloud environments on AWS or Azure. If you are interested, you can watch it on-demand as well.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

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17 Ways to Mess Up Self-Managed Schema Registry

Confluent

Here, we explore 17 pitfalls that operators make, because we want to make sure your Schema Registry is rock solid if you decide to self-manage this important component in your architecture. Mistake #1: Co-locating Schema Registry instances on Apache Kafka ® brokers.