Data Stream overview

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Available in VPC

Data Stream is NAVER Cloud Platform's fully managed serverless service that supports building and running applications for real-time data streaming processing. Data Stream reduces the burden of directly building and managing the infrastructure of the Apache Kafka cluster, including provisioning, scaling, and maintenance, and allows you to use Apache Kafka features optimized for real-time data collection and processing.

Data Stream features

Data Stream provides the following features:

  • Quick and convenient topic management: you can create and manage topics from the console screen, enabling flexible and efficient resource operation.
  • Intuitive performance and operational metrics dashboard: you can efficiently monitor topics, consumer groups, and real-time stream data.
  • External application integrations: high compatibility with Apache Kafka allows you to easily integrate with multiple applications.
  • Provision of simple storage integration connectors: you can easily build streaming pipelines from the console without complex configurations.

Data Stream user guides

This guide will walk you through the information you need to start using Data Stream.

  • Data Stream overview: describes features, user guides, related resources, and FAQs.
  • Data Stream prerequisites: view specifications, service limits, and pricing information.
  • Data Stream quickstart: guides you through the entire process step-by-step.
  • Getting started with Data Stream: learn how to start using Data Stream.
  • Using Data Stream: learn how to access Data Stream in the VPC environment.
    • Dashboard: learn how to view the data processing history of topics and the resource usage status.
    • Topic: learn how to use the Topic menu.
      • Topic: learn how to create and operate a topic.
      • Data: learn how to view the data transferred through a topic.
      • Consumer group: learn how to view the operational status of the consumer group.
      • Connector: learn how to set the storage integration connector.
  • Data Stream examples: learn sample codes for the transmission and reception of messages using the access endpoint.
    • Producer: provide and describe example codes of writing (producing) data using the TCP access endpoint.
    • Consumer: provide and describe example codes of reading (consuming) data using the TCP access endpoint.
  • Data Stream permissions management: manage accounts using NAVER Cloud Platform's Sub Account.
  • Data Stream resource management: manage resources using NAVER Cloud Platform's Resource Manager and Cloud Activity Tracer.
  • Data Stream glossary: familiarize yourself with key terms and definitions.
  • Data Stream troubleshooting: troubleshoot any issues with Data Stream.
  • Data Stream release notes: see documentation history for Data Stream user guides.

Data Stream related resources

NAVER Cloud Platform offers a variety of relevant resources in addition to user guides in order to help customers understand Data Stream. If you are considering whether to introduce Data Stream or in need of detailed information for developing data-related policy as a developer, marketer, and so on, make good use of the following resources: