Systems | Development | Analytics | API | Testing

December 2023

Simplify and Accelerate Your Data Streaming Workloads With an Intuitive User Experience

Happy holidays from Confluent! It’s that time in the quarter again, when we get to share our latest and greatest features on Confluent Cloud. To start, we’re thrilled to share that Confluent ranked as a leader in The Forrester Wave™: Streaming Data Platforms, Q4 2023, and The Forrester Wave(™): Cloud Data Pipelines, Q4 2023! Forrester strongly endorsed Confluent’s vision to transform data streaming platforms from a “nice-to-have” to a must-have.

Commands, Queries, and Events | Microservices 101

Messages between microservices come in three different flavors: Commands, Queries, and Events. Commands change the state, queries request the state, and events share the state. When designing microservice communication patterns, it is important to understand the role of these messages. Following a clear set of rules can help ensure consistency and clarity within your system of microservices.

What is Apache Flink?

Learn the basics of Apache Flink® and how to get started with simple, serverless Flink! Flink is a powerful, battle-hardened stream processor that has rapidly grown in popularity, becoming the de facto standard for stream processing and a top-five Apache project. Kai Waehner, Field CTO at Confluent, explains how Flink fits into your data streaming architecture, why stream processing is needed for real-time data, and how Flink’s underlying architecture provides a number of advantages.

Making Flink Serverless, With Queries for Less Than a Penny

Imagine easily enriching data streams and building stream processing applications in the cloud, without worrying about capacity planning, infrastructure and runtime upgrades, or performance monitoring. That's where our serverless Apache Flink® service comes in, as announced at this year’s Current | The Next Generation of Kafka Summit.

What is Confluent?

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.

Enterprise Apache Kafka Cluster Strategies: Insights and Best Practices

Apache Kafka® has become the de-facto standard for streaming data, helping companies deliver exceptional customer experiences, automate operations, and become software. As companies increase their use of real-time data, we have seen the proliferation of Kafka clusters within many enterprises. Often, siloed application and infrastructure teams set up and manage new clusters to solve new use cases as they arise.

Asynchronous Events | Microservices 101

Asynchronous events are a communication pattern that is used to build robust and scalable systems. These events are often pushed through a messaging platform such as Apache Kafka. Among their benefits are the ability to optimize resource usage, more flexibility for scaling, and new ways to recover from failure without losing data.

Introducing Data Portal in Stream Governance

Today, we’re excited to announce the general availability of Data Portal on Confluent Cloud. Data Portal is built on top of Stream Governance, the industry’s only fully managed data governance suite for Apache Kafka® and data streaming. The developer-friendly, self-service UI provides an easy and curated way to find, understand, and enrich all of your data streams, enabling users across your organization to build and launch streaming applications faster.