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Technology
Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Migrating Data to Azure Synapse with Confluent’s Fully Managed Connector to Unlock Real-Time Advanced Analytics
Azure Synapse users are looking to unlock access to on-premises, open source, and hybrid cloud systems to extend advanced analytics capabilities for their organizations. Building connectivity between all your distributed […]
Building a Dependable Real-Time Betting App with Confluent Cloud and Ably
Our everyday digital experiences are in the midst of a revolution. Customers increasingly expect their online experiences to be interactive, immersive, and real time by default. The need to satisfy […]
Introducing Stream Processing Use Case Recipes Powered by ksqlDB
From fraud detection and predictive analytics, to real-time customer experiences and cyber security, stream processing has countless benefits for use cases big and small. By unlocking the power of continuous […]
Securing Your Logs in Confluent Cloud with HashiCorp Vault
Logging is an important component of managing service availability, security, and customer experience. It allows Site Reliability Engineers (SREs), developers, security teams, and infrastructure teams to gain insights to how […]
Deploying Self-Managed Connectors on EKS Fargate
The choice of how to get your data in and out of your Apache Kafka® clusters is one that merits thoughtful consideration. On one hand, you can choose to develop […]
Why ZooKeeper Was Replaced with KRaft – The Log of All Logs
Why replace ZooKeeper with an internal log for Apache Kafka® metadata management? This post explores the rationale behind the replacement, examines why a quorum-based consensus protocol like Raft was utilized […]
Announcing ksqlDB 0.24.0
We are excited to announce ksqlDB 0.24! It comes with a slew of improvements and new features. Access to Apache Kafka® record headers will enable a whole host of new […]
An Introduction to Data Mesh
Decentralized architectures continue to flourish as engineering teams look to unlock the potential of their people and systems. From Git, to microservices, to cryptocurrencies, these designs look to decentralization as […]
How to Make Apache Kafka Clients Go Fast(er) on Confluent Cloud
Imagine your team wants to design a data streaming architecture and you’re in charge of creating the prototype. Within a few minutes, you provision a fully managed Apache Kafka® cluster […]
Building Real-Time Data Systems the Hard Way
A few years ago I helped build an event-driven system for gym bookings. The pitch was that we were building a better experience for both the gym members booking different […]
How Storyblocks Enabled a New Class of Event-Driven Microservices with Confluent
In many ways, Storyblocks’ technical journey has mirrored that of most other startups and disruptors: Start small and as simple as possible (i.e., with a PHP monolith) Watch the company […]
Bringing Your Own Monitoring (BYOM) with Confluent Cloud
As data flows in and out of your Confluent Cloud clusters, it’s imperative to monitor their behavior. Bring Your Own Monitoring (BYOM) means you can configure an application performance monitoring […]
Streaming SFDC Data to BigQuery for Real-Time Customer Analytics
A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […]
What’s New in Apache Kafka 3.1.0
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […]