From Monoliths to Microservices | Microservices 101
Monoliths and Microservices are often seen as opposing design patterns. In this video, we explore the differences between the two, but also find some common ground between them.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Produce Apache Kafka Messages using Apache Flink and Java
Getting started with Apache Flink® can be challenging. In this short video, Wade Waldron will walk you through a complete example of how to produce Apache Kafka® messages using Apache Flink and Java.
Customer Stories: How Streaming Pipelines Drive Better Business Outcomes
Discover why enterprises rely on Confluent Cloud to realize performance, scalability and reliability while unlocking powerful streaming data pipeline use cases that drive business efficiency and increase revenue.
An Introduction to Apache Kafka Consumer Group Strategy
Ever dealt with a misbehaving consumer group? Imbalanced broker load? This could be due to your consumer group and partitioning strategy! Once, on a dark and stormy night, I set myself up for this error. I was creating an application to demonstrate how you can use Apache Kafka® to decouple microservices. The function of my “microservices” was to create latte objects for a restaurant ordering service.
Data Streaming Cheat Sheet and Checklist | Data Streaming Systems
Thank you for watching this course. We have a few additional resources for you to dig deeper and be fully equiped to start your data in motion journey: a comprehensive cheat sheet with a check list of what you need to verify before going to production and a sneak preview of what we saved for the follow-up course.
Cloud Kafka Resiliency and Fault Tolerance | Data Streaming Systems
Learn how to manage cloud volatility when running applications on Confluent Cloud. Understand how to optimally configure Kafka client for resilient cloud operations and explore error handling patterns in Kafka Streams. Leverage concepts like idempotent producers and consumers, and exactly one processing semantics.
Current '23 Keynote: Streaming into the Future - The Evolution & Impact of Data Streaming Platforms
Jay Kreps (Confluent Co-Founder and CEO), Shaun Clowes (Confluent CPO), and data streaming leaders from organizations like NASA, Warner Brothers, and Notion explore the past, present, and future of data streaming. They will address two key questions: how can organizations integrate data across their applications to deliver better experiences, and how can they embed data and analytics into every part of the business to drive better decision-making?
Confluent unveils Apache Flink® on Confluent Cloud, making it easier to build real-time applications with stream processing on a unified platform
Confluent launches the industry's only serverless, cloud-native Flink service to simplify building high-quality, reusable data streams. Confluent expands Stream Governance capabilities with Data Portal, so teams can easily find all the real-time data streams in an organisation. New Confluent Cloud Enterprise offering lowers the cost of private networking and storage for Apache Kafka.
Confluent unveils Data Streaming for AI to simplify and accelerate the development of real-time AI applications
New initiative will expand Confluent's partnerships and product capabilities to help companies build real-time AI innovations with data streams.
Introducing Confluent Cloud for Apache Flink
In the first three parts of our Inside Flink blog series, we discussed the benefits of stream processing, explored why developers are choosing Apache Flink® for a variety of stream processing use cases, and took a deep dive into Flink's SQL API. In this post, we'll focus on how we’ve re-architected Flink as a cloud-native service on Confluent Cloud. However, before we get into the specifics, there is exciting news to share.