Apache Kafka Guide 101 Part 2

Presented by

Michael Carter, Lead Software Engineer, Instaclustr

About this talk

Instaclustr is back with part 2 of Apache Kafka 101 webinar series for an audience coming from traditional ESB (Enterprise Service Bus), Middleware and ETL based systems who want to learn about a modern-day approach to message processing, stream processing, real-time analytics, event sourcing, or acting as an Enterprise-wide central data bus. In part-1 of this series, we looked at the basics of Apache Kafka, Kafka ecosystem, an overview of its architecture and explored concepts like brokers, topics, partitions, logs, producers, consumers, consumer groups, etc. Instaclustr is now organising part 2 of this webinar series. In this part, we will talk about topic design and partitioning. We will at good practices to keep in mind when designing for the required throughput of your applications. We will also look at the message key role with regards to guaranteeing message order. This will move you forward another step in your journey of learning and making the best use of Apache Kafka.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (41)
Subscribers (2226)
Instaclustr delivers reliability at scale through our integrated data platform of open source technologies such as Apache Cassandra, Apache Kafka, Apache Spark and Elasticsearch. Our expertize stems from delivering more than 25+ million node hours under management, allowing us to run the world’s most powerful data technologies effortlessly. We provide a range of managed, consulting and support services to help our customers develop and deploy solutions around open source technologies. Our integrated data platform, built on open source technologies, powers mission critical, highly available applications for our customers and help them achieve scalability, reliability and performance for their applications.