When data is analyzed and processed in real-time, it can yield insights and actionable information either instantly or with very little delay from the time the data is collected. The […]

Apache Kafka stands as a robust distributed streaming platform. However, like any system, it is imperative to proficiently oversee and control latency for optimal performance. Kafka Consumer Lag refers to […]

In today’s data-driven world, the capability to transport and circulate large amounts of data, especially video files, in real-time is crucial for news media companies. For example, an incident occurred […]

The Apache Kafka, a distributed event streaming technology, can process trillions of events each day and eventually demonstrate its tremendous throughput and low latency. That’s building trust and over 80% […]

Although both Apache Druid and Apache Kafka are potent open-source data processing tools, they have diverse uses. While Druid is a high-performance, column-store, real-time analytical database, Kafka is a distributed […]

A poison pill is a message deliberately sent to a Kafka topic, designed to consistently fail when consumed, regardless of the number of consumption attempts. Poison Pill scenarios are frequently […]

Several tools/scripts are included in the bin directory of the Apache Kafka binary installation. Even if that directory has a number of scripts, through this article I want to highlight […]

The phrase “deep storage” refers to the long-term storage system used by Apache Druid, where past data segments are preserved for durability and retrieval in the future. Druid stores data […]

A real-time analytics database called Apache Druid is developed for quick slice-and-dice analysis on massive data volumes. The best data for Apache Druid is event-oriented and frequently utilized as the […]

To get more clarity about ISR in Apache Kafka, We should first carefully examine the replication process in the Kafka broker. In short, replication means having multiple copies of our […]