Special offer
Get credits triple the amount of your Microsoft Azure, AWS, and Google Cloud bills Learn more
Home Cloud Databases Kafka Cloud Databases

Kafka Cloud Databases

Deployment and administration of Kafka сlusters in the cloud to manage messaging, delivery, data storage, and processing queues in real-time.

high performance

Cutting-edge high-performance hardware

We utilize Intel® Xeon® Gold processors and HI-IOPS NVMe disks to enhance service performance.

i1

Easy management via a unified control panel

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.

i2

One-stop shop for all your cloud services

Deploy Kafka clusters alongside managed Kubernetes. Connect PostgreSQL, MySQL, Redis, or object storage. Link all resources through the global router via the control panel.

i4

Compliance with global security standards

The PostgreSQL service is certified and compliant with PCI DSS 3.2.1, ISO/IEC 27001, ISO/IEC 27017, and ISO/IEC 27018 safety standards.

Businesses from startups to enterprises have experienced our service quality firsthand

Prices

Pay in 4 different currencies: USD, UZS, KZT, and KES

Servercore is stable, simple, and offers local infrastructure

Availability zones in Kenya, Uzbekistan, and Kazakhstan​
Compliance with GDPR and DPA 2019
Free migration
Billing in Kenyan shillings
IAM service for managing authorization and access levels
Payment by MPesa or bank transfer

SLA > 99,98%

Minimum level of availability

PCI DSS

Payment data under protection

IaaS и PaaS

A wide range suitable for any task

24/7

Free technical support

Our customer stories

Fintech / Uzbekistan

Alif:
Reducing service downtime by 80%

Previous provider's solutions

Low server performance leading to downtime and traffic loss
Inability to delegate key equipment support tasks
No option to work via API, no application clustering capability

After migration to Servercore

Downtime of digital services cut by 80%
30% reduction in IT infrastructure management time
Transition to a modern technology stack and a convenient resource management system

FinTech / Uzbekistan

Uzum Nasiya:
Seamless cloud migration in a month

Previous provider's solutions

Use of VDS with limited capacity and functionality without the ability to scale
Lack of personalized solutions for business development
Lack of adaptive resource settings

After migration to Servercore

Deployment of flexible servers to ensure stable service operation
Design of custom Managed Kubernetes clusters for specific tasks
Reduced IT specialist costs

Cybersecurity / Uzbekistan

HWG Sababa:
How to localize IT infrastructure in 7 days

Client's objectives

Localize IT Infrastructure to сomply with regional law on personal data
Delegate equipment setup and maintenance to the provider
Manage operational expenses for IT infrastructure

Servercore's solution

Provided cloud resources in a local data center certified for handling personal data
Ensured a 99.98% SLA, taking care of all technical and organizational aspects of resource deployment
Offered all resources for rent with the pay-as-you-go payment model

Aviation industry / Uzbekistan

Air Samarkand:
50% user growth through cloud migration

Client's objectives

Seamlessly migrate a portion of IT infrastructure from on-premise to the cloud
Achieve uninterrupted operation and high availability of critical services
Delegate corporate portal administration

Servercore's solution

Organized a free turnkey migration, selected easily scalable and powerful cloud services
Ensured a 99.98% SLA for cloud servers, optimized the load to ensure high availability for users
Provided an administration service with free 24/7 technical support and continuous service monitoring

Choose the region where you want 
to deploy your service

Nairobi
1 availability zone
Dedicated Servers
Cloud Servers
Managed Kubernetes
TIER III Design
TIER III
ISO27001
PCI DSS
Tier 3
Tashkent
1 availability zone
Dedicated Servers
Cloud Servers
Managed Databases
Managed Kubernetes
Reliability level — N+1
TIER II++
Tier 2++
Tashkent
2 availability zone
Dedicated Servers
Cloud Servers
Managed Kubernetes
ISO27001
TIER II
Tier 2
Almaty
1 availability zone
Dedicated Servers
Cloud Servers
Managed Databases
Managed Kubernetes
TIER III Design
ISO14001
TIER III Facility
ISO20000
ISO9001
ISO27001
ISO45000
Tier 3

Compatible products and services for more efficient work

Complete guide to working with cloud databases

hard-drive (1) 1

General information

Discover essential information about ready-to-use cloud databases: descriptions, project details, quotas, and more.
Component 19

Supported databases

Explore PostgreSQL, MySQL, Redis, and other databases. Understand their unique features and operational characteristics.
credit-card 4

Cloud database payment

Learn about the pricing, billing models, and payment processes.
Component 17

Other sections

Creating a cluster Connecting to a cluster

Get started with 4 easy steps

Step 1

Sign up for free in our control panel

Step 2

Add funds to your account

Step 3

Select products and resources

Step 4

Get started and pay as you go

Use cloud databases with other Servercore products

Component 17

Cloud Servers

Help during a sudden surge in load on a mobile app or website.
servers

Dedicated Servers

Suitable for static loads and situations where there are increased data security requirements.
globe

Global Router

Connects cloud and physical infrastructure within a region into a single private network for free.
file 1

File Storage

Stores data for cloud and dedicated servers, Managed Kubernetes cluster nodes, and allows you to configure backups.
copy 1

Backup

A service for automating the creation of backups of physical and virtual machines, databases, files, and applications.
kubernetes

Managed Kubernetes

A service for automating the deployment, scaling, and orchestration of containers.
bar-chart 2

Data Analytics Virtual Machine

Pre-configured virtual servers for optimizing work with analytics, BI, and Machine Learning.
code 1

Data Science Virtual Machine

Virtual servers for working with Python code in Jupyter, developing and training ML models.

FAQ

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.

Component 17

Cloud Servers

Help during a sudden surge in load on a mobile app or website.
servers

Dedicated Servers 


Suitable for static loads and situations where there are increased data security requirements.
globe

Global Router

Connects cloud and physical infrastructure within a region into a single private network for free.
file 1

File Storage

Stores data for cloud and dedicated servers, Managed Kubernetes cluster nodes, and allows you to configure backups.
copy 1

Backup

A service for automating the creation of backups of physical and virtual machines, databases, files, and applications.
sql

PostgreSQL

A versatile database for complex processes and calculations.
database 1

MySQL


The most popular MySQL database with classic semi-synchronous replication.
bar-chart-2 1

Redis

An in-memory NoSQL database management system. Can work as both a database and a queuing system.
upload-cloud 1

Kafka

Ready-to-use Apache Kafka clusters in the cloud.
terminal 1

TimescaleDB

An open-source time-series database.
bar-chart 2

Data Analytics Virtual Machine

Pre-configured virtual servers for optimizing work with analytics, BI, and Machine Learning.
code 1

Data Science Virtual Machine

Virtual servers for working with Python code in Jupyter, developing and training ML models.
Component 17

Cloud Servers

Help during a sudden surge in load on a mobile app or website.
servers

Dedicated Servers 


Suitable for static loads and situations where there are increased data security requirements.
globe

Global Router

Connects cloud and physical infrastructure within a region into a single private network for free.
file 1

File Storage

Stores data for cloud and dedicated servers, Managed Kubernetes cluster nodes, and allows you to configure backups.
copy 1

Backup

A service for automating the creation of backups of physical and virtual machines, databases, files, and applications.
sql

PostgreSQL

A versatile database for complex processes and calculations.
database 1

MySQL


The most popular MySQL database with classic semi-synchronous replication.
bar-chart-2 1

Redis

An in-memory NoSQL database management system. Can work as both a database and a queuing system.
upload-cloud 1

Kafka

Ready-to-use Apache Kafka clusters in the cloud.
terminal 1

TimescaleDB

An open-source time-series database.
bar-chart 2

Data Analytics Virtual Machine

Pre-configured virtual servers for optimizing work with analytics, BI, and Machine Learning.
code 1

Data Science Virtual Machine

Virtual servers for working with Python code in Jupyter, developing and training ML models.