Learn about Elastic Scaling with Apache Kafka^®

Getting a real-time data architecture up and running takes too long, especially with something as complicated as Open Source Apache Kafka. Deploying requires developer help which pushes out the launch of our critical apps, costing the company money with every delay.

Confluent's event streaming solutions allow you to:

• Quickly deploy Kafka with just a few clicks using self-serve provisioning for all cluster types with fully-managed Confluent Cloud service
• Effortlessly connect your critical data sources and sinks to Kafka with fully-managed, self-serve connectors to build a complete data pipeline for your real-time apps
• Process streaming Kafka data with an easy-to-use, yet powerful interactive SQL interface with fully managed KSQL without the need to write code
• Accelerate the deployment of standardized, self-managed Kafka clusters as cloud-native systems on Kubernetes with Confluent Platform

Most distributed computing architectures, including Open Source Apache Kafka, can't quickly scale to meet demand - leading to lag or downtime when traffic spikes unexpectedly. Companies try to tackle this with a complex capacity planning process, but often end up overspending on resources that never get used or still don't meet their needs.

Confluent's event streaming solutions allow you to:

• Elastically scale your Kafka workloads instantaneously in Confluent Cloud
  • Instantly scale from 0 to 100 MB/s and back down without ever having to size a cluster in our Basic and Standard tiers
  • Get to GB/s scale with self-serve provisioning and expansion in our Dedicated tier
• Elastically scale self-managed Kafka clusters on Kubernetes with Confluent Platform
  • Replace manual operations to spin platform resources up and down on Kubernetes using infrastructure-as-code with the Confluent Operator
  • Scale the platform elastically while optimizing throughput by architecting with lighter-weight Kafka brokers that can be rebalanced automatically and instantaneously.

Building the right data architecture for every use case, especially with complex distributed systems like Open Source Apache Kafka, is too expensive and time consuming. Developers and organizations are unable to move quickly to get apps to market with limited resources.

Confluent's event streaming solutions allow you to:

• Get started for free with Kafka in Confluent Cloud*
• Pay only for data streamed with scale-to-zero pricing; no minimums
• As your Kafka scales, leverage our flexible, usage-based, commitment model for significant discounts
  • Mix and match across three production-ready, cloud tiers - Basic, Standard and Dedicated - to accommodate your scale, budget and use case
  • Easily spin up and spin down resources as needed over time and pay for what you use, when you use it
  • Easily experiment with new features such as connectors, ksqlDB, different support tiers, etc. by leveraging an umbrella monetary commitment that applies toward any Confluent Cloud service