Event Streams for Apache Kafka
Turn real-time data into actionable insights
Deploy Apache Kafka clusters in just a few clicks- Enjoy managed automatic patches and updates
- Work securely on a robust, fault-tolerant architecture
Intuitive cluster deployment
Optimize your business with Event Streams for Apache Kafka, leave the rest to us.
EASY DEPLOYMENT
Ready in a few steps
Convenient Kafka streaming setup via Data Center Designer
- APIs, SDKs, and plenty of management tools available
- Choose from pre-configured cluster sizes
MANAGED SOLUTION
Always up to date
- Updates run automatically in the background
- Centralized maintenance by IONOS
- Uninterrupted access to your Kafka clusters
MODERN ARCHITECTURE
Top-notch technologies
- Simplified cluster management in KRaft mode
- Easy deployment and management
- High stability and fault tolerance
SECURE ACCESS PROTECTION
mTLS-encrypted connections
- Mutual TLS set as the default security standard
- Protection against unauthorized access
- High level of data security
PRIVATE ENDPOINTS
Secure transmission of sensitive data
- Restrict access to your resources
- Protection from external threats
- Secure and confidential data processing
TOP-LEVEL DATA SECURITY
Complete protection
- Compliant with ISO 27001 standards
- Guaranteed secure data processing and analysis
- Your data stored safely in IONOS’ secure US data centers
IONOS offers top-tier security and sustainable cloud solutions built for the future.
Choose your cluster size, pay by the hour
Pick the best plan for your workloads and only pay for what you use.
Brokers | Dedicated Cores (2 HT) | RAM | Storage per Broker | Total Storage per Cluster | Price | |
|---|---|---|---|---|---|---|
Cluster XS | 3 | 1 | 2 GB | 195 GB | 585 GB | $0.49 / instance / hr |
Cluster S | 3 | 2 | 4 GB | 250 GB | 750 GB | $0.78 / instance / hr |
Cluster M | 3 | 2 | 8 GB | 400 GB | 1200 GB | $1.04 / instance / hr |
Cluster L | 3 | 4 | 16 GB | 800 GB | 2400 GB | $2.00 / instance / hr |
Cluster XL | 3 | 8 | 32 GB | 1500 GB | 4500 GB | $3.85 / instance / hr |
Cluster XS | |
|---|---|
Brokers | 3 |
Dedicated Cores (2 HT) | 1 |
RAM | 2 GB |
Storage per Broker | 195 GB |
Total Storage per Cluster | 585 GB |
Price | $0.49 / instance / hr |
Cluster S | |
Brokers | 3 |
Dedicated Cores (2 HT) | 2 |
RAM | 4 GB |
Storage per Broker | 250 GB |
Total Storage per Cluster | 750 GB |
Price | $0.78 / instance / hr |
Cluster M | |
Brokers | 3 |
Dedicated Cores (2 HT) | 2 |
RAM | 8 GB |
Storage per Broker | 400 GB |
Total Storage per Cluster | 1200 GB |
Price | $1.04 / instance / hr |
Cluster L | |
Brokers | 3 |
Dedicated Cores (2 HT) | 4 |
RAM | 16 GB |
Storage per Broker | 800 GB |
Total Storage per Cluster | 2400 GB |
Price | $2.00 / instance / hr |
Cluster XL | |
Brokers | 3 |
Dedicated Cores (2 HT) | 8 |
RAM | 32 GB |
Storage per Broker | 1500 GB |
Total Storage per Cluster | 4500 GB |
Price | $3.85 / instance / hr |
HT = Hyperthread
Use cases for Event Streams for Apache Kafka
Manage data more efficiently and optimize your cluster management.
Use case
Real-time data analysis
Set up different scenarios to effectively analyze real-time data.
- Use Event Streams for Apache Kafka to stream data
- Take advantage of the managed solution for valuable real-time insights
- Improve data quality across areas like finance, marketing, and IoT applications
Use case
Build secure event-driven architectures
Plan robust, event-driven architectures with Event Streams for Apache Kafka.
- Simplify communication between different services and systems
- Reliably scale event processing across distributed systems
- Optimize your microservices architectures
Use case
Process large IoT data streams
Leverage IONOS-managed Kafka clusters to optimize your business.
- Easily process and manage large volumes of data
- Capture and analyze IoT data streams in real time
- Develop new strategies for your development and device monitoring
Documentation and guides
Getting started
With the IONOS Data Center Designer (DCD) you can quickly create a fully functional virtual data center with an intuitive visual interface. Learn more about the DCD in our documentation.
APIs & SDKs
Get the most out of the IONOS Cloud with a variety of APIs and integration tools. Learn more about setting up servers and storage, configuring networks, and other IaaS solutions from IONOS.
- Product details and guides
- Support from our IONOS experts
- Access full technical documentation
The IONOS Cloud in practice
Powerful and future-proof cloud infrastructure that many customers trust.
Event Streams for Apache Kafka FAQs
Event Streams for Apache Kafka is a service in the IONOS Cloud that allows you to easily deploy and manage Kafka clusters without worrying about infrastructure setup, configuration, or maintenance. IONOS takes care of all Kafka-related management tasks. The managed service is optimized to deliver high performance for your data pipelines, offering features like bulk data export, scalability, security configurations, and high availability to ensure a seamless experience.
Event Streams refer to capturing and storing data in real time from event sources like databases, sensors, mobile devices, cloud services, and software applications. These streams can then be directed to various target technologies as needed, enabling a constant flow of data and continuous data interpretation, ensuring the right information is available at the right place and time.
Event Streams are applied in a range of scenarios, including:
- Real-time processing of payments and financial transactions (e.g., for stock exchanges, banks, and insurance providers)
- Tracking and monitoring vehicles, fleets, and deliveries in real time (e.g., in logistics and automotive industries)
- Continuous capture and analysis of sensor data from IoT devices or machinery (e.g., in factories and wind farms)
- Capturing and instantly responding to customer interactions and orders (e.g., in retail, hospitality, and mobile applications)
- Monitoring patient status and predicting condition changes (e.g., in hospitals and care facilities)
- Connecting, storing, and sharing data across different departments within an organization
- Powering data platforms, event-driven architectures, and microservices
