Tags: Replication

Apache Kafka® is at the heart of the data transportation layer at Pinterest. The amount of data that runs through Kafka has constantly grown over the years. This growth sometimes […]

Persisting data in multiple regions has become crucial for modern businesses: They need their mission-critical data to be protected from accidents and disasters. They can achieve this goal by running […]

Organizations today are moving their data and their data processing workloads to the cloud, and often into multiple clouds. Hybrid cloud solutions, cloud-native application architectures, and event streaming systems—especially in […]

Apache Kafka® scales well. A Kafka cluster can grow to tens or hundreds of brokers and easily sustain tens of GB per second of read and write traffic. But scaling […]

This is the fifth month of Project Metamorphosis: an initiative that addresses the manual toil of running Apache Kafka® by bringing the best characteristics of modern cloud-native data systems to […]

This article describes why Bolt, the leading European on-demand transportation platform that operates across ride-hailing, food delivery, and e-mobility sectors, has journeyed toward adopting change data capture (CDC). Adopting CDC […]

One of the most critical aspects of any scale-out database is its availability to serve queries during partial failures. Business-critical applications require some measure of resilience to be able to […]

Data can originate in a number of different sources—transactional databases, mobile applications, external integrations, one-time scripts, etc.—but eventually it has to be synchronized to a central data warehouse for analysis […]

I am pleased to announce the release of Confluent Platform 5.4. Like any new release of Confluent Platform, it’s packed with features. To make them easier to digest, I want […]

Running a single Apache Kafka® cluster across multiple datacenters (DCs) is a common, yet somewhat taboo architecture. This architecture, referred to as a stretch cluster, provides several operational benefits and […]

Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an […]

Here at Confluent, our goal is to ensure every company is successful with their streaming platform deployments. Oftentimes, we’re asked to come in and provide guidance and tips as developers […]

One of the most common pain points we hear is around managing the flow and placement of data between datacenters. Almost every Apache Kafka user eventually ends up with clusters […]

When we released Apache Kafka 0.9.0.0, we talked about all of the big new features we added: the new consumer, Kafka Connect, security features, and much more. What we didn’t […]