Deployment and administration of Kafka сlusters in the cloud to manage messaging, delivery, data storage, and processing queues in real-time.
We utilize Intel® Xeon® Gold processors and HI-IOPS NVMe disks to enhance service performance.
Choose configurations that align with your specific tasks. No need to handle settings manually as essential configurations are available in the control panel. You can also launch the service using Terraform and API.
Deploy Kafka clusters alongside managed Kubernetes. Connect PostgreSQL, MySQL, Redis, or object storage. Link all resources through the global router via the control panel.
Apache Kafka is a distributed messaging system for real-time communication between server applications — a Data Bus. It implements a «publish-subscribe» model where applications can publish messages to specific topics, and other applications can subscribe to these topics to receive messages.
Key advantages of using Apache Kafka include:
— Ability to scale horizontally, allowing it to handle large amounts of data.
— High performance: Kafka is optimized for high throughput and low latency.
— Real-time stream processing, ensuring timely event awareness.
— Seamless integration with various systems such as databases, data warehouses, and stream processing systems.
— Ability to serve as a centralized repository for large amounts of data, functioning as an organization’s unified data store.
Topics group messages by themes. Users subscribe to topics created by producers. This allows them to view messages within that topic. For each topic, Apache Kafka maintains a message log, which can be divided into several partitions.
A partition consists of all the messages within a topic, ordered from newest to oldest. This structure allows users to see the most recent messages first within a topic.
You can manage Kafka through the Servercore control panel, via API, or using Terraform.
Servercore’s Kafka as a Service supports the latest version of the message broker, Kafka 3.5.
Kafka helps solve various tasks such as:
— Collecting and aggregating events or logs from different sources (e.g., Clickstream).
— Simultaneous event delivery to multiple consumers. This feature is beneficial in scenarios where an event needs to be processed by several systems or services at the same time.
— Building Event-Sourcing or Event-Driven Systems. In such systems, events are stored in Kafka and used to update the local databases of microservices.
— Stream processing: In this case, Kafka serves as an intermediary storage for streaming data from one system to another.
You can explore all available cloud server configurations for message brokers on the Servercore website, either in the calculator section or through our control panel.
Register in our control panel and create your first cluster in the Cloud Platform → Databases section. Here, you can configure all necessary parameters for Kafka within the cloud infrastructure with just a few clicks.
Servercore is an international IT infrastructure provider with a local presence in Uzbekistan, Kazakhstan, and Kenya.
Your database server will be hosted in one of our or partner data centers, depending on the location in which you rent it. You can learn more about our data centers, Tier certifications and regions of presence in the documentation.
Our technical support specialists are available 24/7. They are ready to assist promptly with any technical issues and answer your questions. To contact technical support, use the ticket system in the Servercore control panel.
Currently, this functionality is not available, but our team is working on its implementation in the future.
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