Peerobyte / Products / Database as a service(DBaaS) / Managed Service for apache Kafka

Managed Service for apache Kafka Beta

Deploy an Apache Kafka cluster in just a few clicks with a fully managed service. Focus on application development while we match your configuration and provide monitoring, backups and upgrades.

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Solve your problems with Managed Service for APACHE KAFKA

Distributed event processing

Handle multiple events in real-time, providing horizontal scalability and fault tolerance.

Centralized logging

Aggregate logs from various sources for analysis, debugging, and compliance.

Reactive architecture

Build an asynchronous system that can handle data streams while providing low latency.

Logistics and telematics solutions

Manage the flow of data from logistics and telematics sources, providing tracking and analysis of location, transportation and routes.

Microservice architecture

Create a flexible and scalable microservices-based architecture by exchanging messages through Apache Kafka.

Why apache kafka?

It is a robust and scalable platform for processing real-time data streams:

  • High throughput and low latency: Apache Kafka is capable of handling millions of messages per second with fast response times, ensuring instant data delivery.
  • Fault tolerance and data redundancy: Apache Kafka provides high data availability and background replication support, ensuring data integrity even in the event of system failures or outages.
  • Horizontal scaling with virtually limitless growth: Apache Kafka can easily handle the processing and storage of enormous amounts of data without sacrificing performance.
  • Integration with different data sources: Apache Kafka allows you to combine data from different sources for analysis and processing.
  • Flexible and extensible structure: Apache Kafka supports a variety of data types and formats, and provides the ability to develop custom extensions.
  • Ease of use through the use of SQL: Apache Kafka is accessible and user-friendly for data analysts and developers through the use of SQL.

What tasks do we take on

Our platform offers convenient and flexible managed database administration, as well as reliability and high performance. We take care of the complexity of installing and configuring databases, and give you free time so you can focus on growing your business. In addition, our team of experts is always available to help with any questions you may have.

OS and software installation

Storage and hardware security

Network setup

Virtual machines deploying

Broker update

Monitoring tools

Calculate the cost

Host class

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Type

Configuration

2vCPU 16Gb RAM

Instance amount

01

Storage

Type

Storage Size

649Gb

Max. IOPS

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Read 300Write 300

Max. bandwidth

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Read 30Mb/sWrite 30Mb/s

Traffic

649Gb

Got any questions? Just ask us!

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More services for your project

KUBERNETES

Provide continuous protection and instant access to rapidly growing datasets. Highly scalable and cost effective storage that integrates with your application scenarios.

DEDICATED SERVERS

Distribute traffic and workloads in the most efficient way: no server downtime, overload or underutilization.

FAQ

Can't find an answer to your question? Ask us and we'll tall you!

What is Apache Kafka and for what tasks is it suitable?

Apache Kafka is a distributed, horizontally scalable software message broker designed to organize the collection and storage of streaming data, its processing in real time with high throughput and minimal latency. Streaming data refers to data that is continuously generated by a large number of sources that typically send data records in small volumes. Examples of streaming data include log files generated by customer applications, online shopping information, user actions in games, social network activity, marketplace data, geospatial services, and telemetry data. Apache Kafka was developed to efficiently handle, process, and respond to such data streams.

Kafka is an open-source distributed system based on client-server architecture. Data is exchanged within a Kafka cluster using its own binary data transfer protocol designed to reduce the overhead of data transfer.

An Apache Kafka cluster consists of servers and clients. Some servers form the storage layer and are known as brokers, while others run the Kafka Connect mechanism and continuously import and export data as event streams. Clients host distributed applications and microservices, which work in parallel to receive, process, and generate event streams.

The Kafka cluster is fault-tolerant; if a server fails, other servers will take over to ensure uninterrupted operation without data loss.

Apache Kafka can be used wherever event stream acquisition and processing is required. Kafka is used in a wide variety of industries, but is most commonly used for the following tasks:

  • Real-time processing of financial transactions and payment information, such as at stock exchanges and by banks and insurance companies. For example, Kafka is used by organizations such as ING Bank.
  • Tracking and monitoring user, transportation, and cargo locations in real time using geopositioning systems. For instance, Kafka supports messaging and data integration for Foursquare’s Big Data infrastructure.
  • Continuously collecting and analyzing data from sensors, telemetry, devices, controllers, or other equipment, making it ideal for implementing IoT/IIoT systems.
  • Building data pipelines for analytics systems to extract useful information from raw data using machine learning algorithms. Kafka is employed by companies like IBM and DataSift for real-time data collection from event streams.
  • Collecting and immediately responding to customer interaction events, such as in retail, hospitality, mobile apps, and online gaming. Kafka provides the backbone for organizing any event-driven data platforms, architectures, and microservices.

What versions of Apache Kafka does Managed Service for Apache Kafka support?

Our service currently supports Apache Kafka versions 2.8.1 and 3.1.0.

Can a user upgrade the version of an Apache Kafka cluster?

The user can upgrade the cluster to any supported version by selecting the desired version in the cluster properties. However, the cluster can only be upgraded upwards and once the upgrade is done, the cluster cannot be reverted back to the previous version.

Before upgrading the version, ensure that the client software will allow you to use the features of the new version of Apache Kafka cluster. As part of the cluster version upgrade, only the server software will be upgraded, not the client software.

It is recommended to upgrade the cluster to the next version relative to the current version, for example, to upgrade Apache Kafka from version 2.8 to 3.1 you would upgrade in the following sequence: upgrade the application from version 2.8 to version 3.0 and then upgrade from version 3.0 to 3.1.

I got an error message: "disk size must be at least ... according to topics partitions number and replication factor, but size is ...", what to do?

The error is caused by topic log segments taking up more space than is available in the broker storage. To solve this problem, you can increase the size of disk storage or reduce the segment size for topics or the whole cluster.

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