Protecting Your Data Pipeline: Avoid Apache Kafka Outages

An Apache Kafka outage occurs when a Kafka cluster or some of its components fail, resulting in interruption or degradation of service. Kafka is designed to handle high-throughput, fault-tolerant data […]

Partitioning Hot and Cold Data Tier in Apache Kafka Cluster for Optimal Performance

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if […]

Streaming real-time data from Kafka 3.7.0 to Flink 1.18.1 for processing

Over the past few years, Apache Kafka has emerged as the leading standard for streaming data. Fast-forward to the present day, Kafka has achieved ubiquity, being adopted by at least […]

The Zero Copy principle subtly encourages Apache Kafka to be more efficient.

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% […]

Knowing and valuing Apache Kafka’s ISR (In-Sync Replicas)

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 […]

Data Streaming

Streaming Data from Files into Multi-Broker Kafka Cluster by anchoring Kafka Connect Framework

There are multiple ways to ingest data streams into Kafka topic and subsequently deliver to various types of consumers who are hooked to the topic. The stream of data that […]