#7 Kafka Live Stream | Kafka Connector failure: Alerts and automatic restarts
How to monitor your #kafka connectors, and automatically restart them when they fail.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Kafka
How To Build Scalable and Resilient Microservices | Microservices 101
Building scalable and resilient microservices requires an approach that eliminates the need to treat them as special. They should be treated as easily replaceable building blocks. This means eliminating bottlenecks and single points of failure but it can also mean changing from a pull-based approach to a push-based approach. CHAPTERS.
#6 Kafka Live Stream | Mapping the data lineage of your Kafka microservices
Transform your ability to understand your streaming landscape, troubleshoot when things go wrong, and keep compliant.
#5 Kafka Live Stream | Streaming data mesh practices for event-driven architectures
How to adopt data mesh practices into your event-driven application development, allowing the freedom for innovation while meeting diverse data compliance needs.
Point-to-Point vs Publish/Subscribe | Microservices 101
Communication between microservices can be broadly categorized as either point-to-point or publish/subscribe. Point-to-point is often used synchronously, while publish/subscribe tends to be asynchronous. Each of these techniques can have a place in a modern microservices platform, but it is important to understand the role each one plays so that they can be used effectively. CHAPTERS.
Real-time data engineering trends: 2024
If 2023 was the year we woke up to how generative AI would change our world, 2024 is the year we realize the change. The real-time AI-driven enterprise may not be pixel-perfect yet, but we’re well on the way. Gen AI has a knock-on effect on all the trends and challenges we will see in 2024. Here’s our take.
Getting Started with OAuth for Confluent Cloud Using Azure AD DS
Released in December 2022, OAuth support on Confluent Cloud allows Confluent Cloud users to integrate their own third-party identity provider (IdP) with Confluent Cloud, centralizing account management across all of their cloud services. This article explains how to configure Azure Active Directory DS (Azure AD DS) and Confluent Cloud so that the Azure Directory can be used to authenticate and authorize applications to use Confluent Cloud clusters.
Turbo-Charging Confluent Cloud To Be 10x Faster Than Apache Kafka
At Current 2023, we announced that Confluent Cloud is now up to 10x faster than Apache Kafka®, thanks to Kora, The Cloud-Native Kafka engine that powers Confluent Cloud. In this blog post, we will cover what that means in more depth.
#4 Kafka Live Stream | Creating Dead Letter Queues in Kafka with SQL Stream Processing
Getting value out of data means transformation in real-time, and coding your #Kafka Streams app is just the first step in a long journey. Then you need to package that app, deploy it, manage that connection to #apachekafka, set it up with monitoring and alerting, govern it and troubleshoot it if issues pop up. In this Kafka Live Stream, we show you a way to significantly simplify this route by demonstrating why and how you can create Dead Letter Queues in Kafka with Lenses Streaming SQL for stream processing.
Confluent Access Management
Confluent Access Management, developed alongside Microsoft Azure, allows organization admins to add and manage users and user permissions after they are created via the Azure portal. See how it works.