Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
Kafka Re-Architected for the Cloud with Kora Engine
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When we launched Confluent Cloud in 2017, we had a grand vision for what it would mean to offer Apache Kafka® in the cloud. It isn’t enough to just put Kafka on servers in AWS - just like S3 isn’t anything like running a dedicated NFS server per customer, or Snowflake isn’t just a bunch of Teradata warehouses on EC2.
Kora Engine, our Kafka engine built for the cloud, serves up the Kafka protocol for thousands of customers and over 30K+ clusters worldwide, and completely abstracts the operational burdens of self-managing Kafka.
Join this webinar, where we'll take you on a tour of how we re-architected Kafka's inner workings to develop the Kora Engine. You’ll see how Kora powers Confluent to be a truly cloud-native service that's 10x more efficient, faster, and easier to use.
We’ll explore how Kora powers Confluent to be:
- Elastic: Scale up and down 30x faster to meet fluctuating demand, without the ops burden that comes with scaling your data infrastructure
- Resilient: Ensure high availability and offload Kafka ops with a 99.99% uptime SLA, multi-AZ clusters, and no-touch Kafka patches
- Fast: Deliver faster insights and customer experiences with up to 10x lower tail latencies than Kafka sustained over time
- Cost-effective: Reduce your TCO by 60% with a cloud-native service that abstracts all the operational burdens of self-managing Kafka
