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Creating/Managing Apache Kafka Cluster

Designed for large scale message processing, Apache Kafka enables automatic creation and setting. Running in a VM environment and being based on VPC, it supports convenient management, including the configuration of a single instance/cluster and event monitoring.

Overview

  • Easy Cluster Configuration

    Users can automatically install standard version Apache Kafka of the Samsung Cloud Platform using a web-based console. It can configure Broker, Zookeeper, one of the main components of Apache Kafka, in single or in cluster.

  • Convenient Management

    If you apply for Event Streams service, you can deploy AKHQ, an open source Apache Kafka manager, to manage Apache Kafka conveniently.

  • Outstanding Reliability and Availability

    Event Streams offers optimized environments to securely manage customers’ data based on Samsung SDS’ decades of experience and know-how on system management. The highly reliable high performance infrastructure and cluster architecture also ensure high availability.

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Apache Kafka Service Architecture

  1. Data Integration
    Enterprise Data Stores
    Hadoop
    NoSQL
    RDBMS
    Data Warehouse
    CRM
    ERP
    Search
  2. Database Changes, Sensor Data, IoT, Mobile Devices, Website Events, Logs
    Confluent Platform
    Apache Kafka Connector
    Apache Kafka Manager(AKHQ)
    Native Clients
    Apache Kafka(Scalable, Reliable, and Fast Stream Data Platform Confluent Certified Build)
    Apache Kafka Streams(Stream Processing Layer)
    Apache Kafka Connector
  3. Stream Processing
    Real-time Data Apps
    Spark
    Storm
    Samza
    Custom Application
    Real-time Analytics
    Monitoring
    Alerting

Key Features

  • Rapid and secure Apache Kafka creation
    1. Auto provisioning : Running in a Virtual Server environment, Apache Kafka with standard spec is auto installed
  • Simple and convenient Apache Kafka management
    1. Running status management : Manage life cycle of Apache Kafka service including creating/deleting clusters using a web-based console
    2. Monitoring : Apache Kafka status monitoring
    3. User configuration setting : Edit settings regarding Apache Kafka performance and security
    4. Managing/changing operations : Settings change, up/down spec(CPU, Memory), storage resizing
    5. Using AKHQ, an open-source Apache Kafka manager, one can manage Apache Kafka cluster
    6. Can increase availability by enabling node addition

Pricing

    • Billing
    • Provided in VM package (billing for VM and Apache Kafka)
      · Without contract : Hourly rates based on metering information of server status being ‘on’
      · With contract : Fixed monthly rates according to contract terms
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