Data Analytics

• 1: Cloud Hadoop
• 1.1: Overview
• 1.1.1: ServiceWatch metric
• 1.2: How
• 1.3: API Reference
• 1.4: Release Note
• 2: Event Streams
• 2.1: Overview
• 2.1.1: Server type
• 2.1.2: Monitoring Metrics
• 2.1.3: ServiceWatch metric
• 2.2: How-to guides
• 2.3: API Reference
• 2.4: CLI Reference
• 2.5: Release Note
• 3: Search Engine
• 3.1: Overview
• 3.1.1: Server type
• 3.1.2: Monitoring metrics
• 3.1.3: ServiceWatch metric
• 3.2: How-to guides
• 3.3: API Reference
• 3.4: CLI Reference
• 3.5: Release Note
• 4: Vertica(DBaaS)
• 4.1: Overview
• 4.1.1: Server type
• 4.1.2: Monitoring metrics
• 4.1.3: ServiceWatch metric
• 4.2: How-to guides
• 4.2.1: Backing up and restoring Vertica
• 4.3: API Reference
• 4.4: CLI Reference
• 4.5: Release Note
• 5: Data Flow
• 5.1: Overview
• 5.1.1: ServiceWatch metric
• 5.2: How-to guides
• 5.2.1: Data Flow Services
• 5.3: API Reference
• 5.4: CLI Reference
• 5.5: Release Note
• 6: Data Ops
• 6.1: Overview
• 6.1.1: ServiceWatch metric
• 6.2: How-to guides
• 6.2.1: Data Ops Services
• 6.3: API Reference
• 6.4: CLI Reference
• 6.5: Release Note
• 7: Quick Query
• 7.1: Overview
• 7.1.1: ServiceWatch metric
• 7.2: How-to guides
• 7.3: API Reference
• 7.4: CLI Reference
• 7.5: Release Note

1 - Cloud Hadoop

1.1 - Overview

Service Overview

Cloud Hadoop is a service for easily and quickly analyzing large-scale data, providing a Hadoop cluster (computing resources, management tools, and applications) used for big data processing and analysis in the SCP environment.

Features

Cloud Hadoop provides an automated cluster creation service through the Hadoop Manager and the Hadoop Ecosystem(ecosystem) composed of Spark, HDFS(Hadoop distributed file system), Hive, etc., enabling anyone to easily build, optimize, or flexibly scale infrastructure for big data analysis.

Service Diagram

Provided features

Cloud Hadoop provides the following features.

• Provide Hadoop Cluster as a cloud service

  • Providing a Hadoop Cluster through automated cluster installation in the SDS Cloud environment
  • Perform essential operational activities for cluster management (cluster operation/monitoring)
  • Provides a Hadoop ecosystem with verified interoperability and allows users to access the server (VM)

• Offer the Hadoop service stack as separate products (increase nodes per product)

  • Minimum node allocation per product for stable service operation
  • Providing diverse product selection opportunities to meet user needs and reduce costs

• Providing user-friendly features for Hadoop services

  • Provides installation and management functions for each Hadoop ecosystem, optimal configuration values, and version management features.
  • Provide an integrated monitoring dashboard for system resources
  • Provides Service Failure Alert feature

Component

We package the major components of the Hadoop ecosystem to deliver an enterprise data cloud.

Service Configuration

Cloud Hadoop provides the following services.

• Basic Installation Service
  • HDFS 3.3.6
  • YARN 3.3.6
  • Hbase 2.4.17
  • Hive 3.1.2
  • Tez 0.9.1
  • Hue 4.11.0
  • Solr 8.11.4
  • Spark 3.4.1
  • Zookeeper 3.8.5
• Additional Option Service
  • Data Governance: Atlas 2.1.0, Ranger 2.1.0
  • Analytical Data Warehouse: Iceberg 1.8.0, Kyuubi 1.10.2
  • Data Ingestion: Sqoop 1.4.7, Kafka 3.9.1, Flume 1.11.0

Server type

The server types supported by Cloud Hadoop are as follows.

The minimum specifications for using Cloud Hadoop are as follows.

Provision status by region

Cloud Hadoop is available in the following environments.

Preliminary Service

This is a list of services that need to be pre-configured before creating the service. Please refer to the guide provided for each service and prepare in advance.

1.1.1 - ServiceWatch metric

You can view Virtual Server metrics in ServiceWatch for servers created in Cloud Hadoop. Like Virtual Server, the metrics provided by default monitoring are data collected at 5‑minute intervals. In the Virtual Server detailed view, enabling detailed monitoring allows you to view data collected at 1‑minute intervals. For more details, Virtual Server > Enable ServiceWatch Detailed Monitoring

Basic Metrics

The following are the basic metrics for the Virtual Server namespace.

The indicators whose names are displayed in bold below are the key indicators selected from the basic metrics provided by Virtual Server. Key metrics are used to build service dashboards that are automatically created for each service in ServiceWatch.

Each metric provides guidance in the user guide on which statistical value is meaningful when viewing that metric, and among the meaningful statistics, the values shown in bold are the primary statistics. In the service dashboard, you can view key metrics using primary statistical values.

1.2 - How

Users can create the service by entering the required Cloud Hadoop information and selecting detailed options through the Samsung Cloud Platform Console.

Create Cloud Hadoop

You can create and use the Cloud Hadoop service from the Samsung Cloud Platform Console.

To create Cloud Hadoop, follow the steps below.

1. All Services > Data Analytics > Cloud Hadoop Click the menu. 1. Go to the Service Home page of Cloud Hadoop.

2. On the Service Home page, click the Create Cloud Hadoop button. 2. Go to the Create Cloud Hadoop page.

3. Cloud Hadoop Creation page: enter the information required to create the service and select detailed options.

   • In the Image and version selection area, select the required information.

     Category	Required	Detailed description
     image	Required	Select the type of image provided Cloud Hadoop With Ubuntu 22.04
     Image version	Required	Select version of the selected image Provide version list of the provided image

     Table. Cloud Hadoop image and version selection options
   • In the Service Information Input area, enter or select the required information.

     Category	Required status	Detailed description
     Server name Prefix	Required	The server name on which Cloud Hadoop will be installed must start with a lowercase English letter and be entered using lowercase letters, numbers, and the special character (-) with a length of 3 to 13 characters A postfix such as 001, 002 is appended based on the server name to generate the actual server name
     Cluster name	Required	Cluster name formed by the servers Enter using English letters, 3 ~ 20 characters A cluster is a unit that groups multiple servers
     Planned Compute	Select	For servers where Cloud Hadoop is installed, selecting a Planned Compute contract allows usage at a discounted price All Services > Financial Management > Planned Compute menu can be requested For more details, refer to Planned Compute 신청하기
     Master Node > Master Node Count	Required	Number of Master nodes The number of Master nodes is fixed at two per Hadoop cluster A Master node is the node where Hadoop Master is installed and provides the default HA (high availability) configuration The Master node includes Hadoop Manager and various Hadoop ecosystem components installed together
     Master Node > Server Type	Required	CPU and Memory types for distributed data processing Standard-1: standard specifications commonly used High Capacity-2: large-capacity server with 24 vCores or more Recommended specifications: vCPU 8, Memory 64G
     Master Node > Block Storage	Required	Block Storage type to be used for the Master node Basic OS: Area where the engine is installed DATA: Data file storage area After selecting the storage type, enter the capacity (see Block Storage 생성하기 for details on each Block Storage type) SSD: High‑performance standard volume HDD: Standard volume Capacity can be entered in multiples of 8 within the range 25 to 1,536 Delete on termination: When the server is terminated, the volume is terminated as well, but volumes with snapshots are not deleted even when Delete on termination is enabled. Add Disk: Data storage area After selecting Use, enter the capacity of the storage Click the + button to add storage, or the x button to delete. Up to 9 can be added Capacity can be entered in multiples of 8 within the range 25 to 1,536
     Worker Node > Worker Node count	Required	Number of Worker nodes Worker nodes can be selected from 3 to 90 Worker nodes are the nodes where Hadoop data nodes and the Resource Manager are installed, and they process and store distributed data
     Worker Node > Server Type	Required	CPU and Memory types for distributed data processing Standard-1: Standard specification commonly used High Capacity-2: Large server with 24 vCores or more Recommended specifications: vCPU 8, Memory 64G For detailed information about the server types provided by Cloud Hadoop, see Cloud Hadoop 서버 타입
     Worker Node > Block Storage	Required	Block Storage type to be used on the Worker node Basic OS: Area where the engine is installed DATA: Data file storage area After selecting the storage type, enter the capacity (refer to Block Storage creation for details on each Block Storage type) SSD: High‑performance standard volume HDD: Standard volume Capacity can be entered in multiples of 8 within the range 25 to 1,536 Delete on termination: When the server is terminated, the volume is terminated as well; volumes with snapshots are not deleted even when Delete on termination is enabled. Add Disk: Data storage area Select Use, then enter the capacity of the storage Click the + button to add storage, or the x button to delete. Up to 9 can be added Capacity can be entered in multiples of 8 within the range 25 to 1,536
     Data Governance	Select	Additional Hadoop ecosystem installation for data governance If you select Use, Atlas and Ranger are installed automatically Cannot be modified or removed after creation
     Analytical Data Warehouse	Selection	Additional installation of Hadoop ecosystem for fast data analysis If you select Use, Iceberg and Kyuubi will be installed automatically Cannot be modified or removed after creation
     Data Ingestion	Select	Additional installation of Hadoop ecosystem for data collection and loading If you select Use, Kafka, Flume, and Sqoop will be installed automatically
     Data Ingestion > Ingestion Node count	Select	Number of Ingestion nodes Ingestion nodes can be selected from 3 to 10 Worker nodes are the nodes where Hadoop data nodes and the Resource Manager are installed, and they process and store distributed data
     Data Ingestion > Server Type	Select	CPU and Memory types for distributed data processing Standard-1: Standard specification commonly used High Capacity-2: Large server with 24 vCores or more Recommended specifications: vCPU 8, Memory 64G For detailed information about the server types provided by Cloud Hadoop, see Cloud Hadoop 서버 타입
     Data Ingestion > Block Storage	Select	Block Storage type to be used for the Ingestion node Basic OS: Area where the engine is installed DATA: Data file storage area After selecting the storage type, enter the capacity (see Block Storage 생성하기 for details on each Block Storage type) SSD: High‑performance general volume HDD: General volume Capacity can be entered in multiples of 8 within the range 25 to 1,536 Add Disk: Data storage area After selecting Use, enter the storage capacity Click the + button to add storage, or the x button to delete. Up to 9 can be added Capacity can be entered in multiples of 8 within the range 25 to 1,536, and up to 9 can be created
     Object Storage bucket	Selection	Object Storage to be used in the cluster After selecting Bucket selection, select the Object Storage bucket You can add up to 10, to delete click the x button After adding a bucket, to set access permission for that bucket, select server resources from the All Services > Object Storage list > the relevant Object Storage Details > Access Control > Allow Server Resources menu

     Table. Cloud Hadoop Service Information Input Items
   • Required Information Input area: enter or select the required information.

     Category	Required	Detailed description
     Enter PrivateLink information

     | Enter the authentication key for PrivateLink connection

     • Create authentication key: IAM > My info > Authentication Key Management tab > Create Authentication Key button click

     • Copy authentication key: IAM > My info > Authentication Key Management tab > Click the generated authentication key > Authentication Key Details > Basic Information tab > Authentication Key > View button click > Copy the authentication key from the popup window

     • Access Key: Enter Access Key; can be entered only when first applying for the service

     • Secret Key: Enter Secret Key; can be entered only when first applying for the service

     | | Cloud Hadoop Manager account |

     | Enter the account and password to log in to Cloud Hadoop Manager

     • Account Name: Enter the account to use for login

     • Password: Enter the password to use for login

     • Confirm Password: Re-enter the password

     | | Network > Common Settings |

     | Network settings for servers created by the service

     • Select when you want to apply the same settings to all installed servers

     • Select the pre‑created VPC, Availability Zone, and Subnet

     • IP is generated automatically

     • Public NAT: Available when the VPC is connected to an Internet Gateway and the Subnet is of type Public. If Use is checked, NAT IP can be configured

     | | Network > Server-specific Settings | | Network settings for servers created by the service

     • Select when you want to apply different settings for each server being installed

     • Select a pre‑created VPC, Availability Zone, and Subnet

     • Displayed automatically based on the selected node

     • Enter the IP for each server

     • Public NAT: Available when the VPC is connected to an Internet Gateway and the Subnet is of Public type. Checking Use enables NAT IP configuration. For more information, see Public IP 생성하기

     | | Security Group | | Add Security Group

     • Click the Select button to choose from the list

     • Before the service creation is complete, you can delete the added Security Group by clicking the x button on the right

     | | Keypair | | Select the user authentication method used when connecting to a Virtual Server

     • Default login account per OS
       • Alma Linux: almalinux
       • Oracle Linux: cloud-user
       • RHEL:cloud-user
       • Rocky Linux: rocky
       • Ubuntu: ubuntu
       • Windows: sysadmin

     |

     Table. Cloud Hadoop required information entry fields
     Caution

     • For PrivateLink connections, you must enter an authentication key generated as a permanent key, and you must not delete that key. *
       If the authentication key expires or is deleted, making the key invalid, it may cause issues with resource changes and service termination in the Cloud Hadoop service.
     • When using a public subnet and assigning a public IP, you may be exposed to security attacks such as external hacking and malware infection.
     information

     • When creating a Cloud Hadoop service, only one Security Group can be selected, but after the service is created, up to four Security Groups can be selected, including the initially chosen Security Group. * However, the Security Group selected when creating the service for the first time cannot be modified or deleted.
     • If Cloud Hadoop is installed correctly, API communication between the installed Cloud Hadoop service and the Samsung Cloud Platform Console may occur continuously for the following reasons.
       • Changing resources of Cloud Hadoop service (adding nodes and resources)
       • Changing the state of the Cloud Hadoop service (start, stop, restart, and termination)
       • Check the status of the Cloud Hadoop service (Health Check)
   • In the Additional Information Input area, enter or select the required information.

     Category	Required	Detailed description
     time zone		Select the time zone the Database will use
     tag	Selection	Add Tag Add Tag Click the button to create and add a tag, or add an existing tag Up to 50 can be added The newly added tags are applied after the service creation is completed

     Table. Cloud Hadoop additional information input items

4. Summary Check the detailed information and estimated charges generated in the panel, and click the Complete button.

   • Once creation is complete, check the created resource on the Resource List page.

Check Cloud Hadoop detailed information

The Cloud Hadoop service allows you to view and edit the full list of resources and detailed information. Cloud Hadoop Details page consists of Details, Tags, Job History tabs.

To view detailed information about the Cloud Hadoop service, follow these steps.

1. All Services > Data Analytics > Cloud Hadoop Please click the menu. 1. Go to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Go to the Cloud Hadoop List page.
3. On the Cloud Hadoop List page, click the resource to view detailed information. 3. Cloud Hadoop Details Navigate to the page.
   • Cloud Hadoop Details At the top of the page, status information and additional feature information are displayed.

     Category	Detailed description
     status	Cloud Hadoop service status Creating: Creating Running: Creation complete, service available Updating: Updating settings Stopping: Stopping Starting: Starting Stopped: Stopped Restarting: Restarting Terminating: Terminating service Error: Error during creation or service abnormal state Undeployed: Error during deployment
     Start	Start operating the discontinued service
     Stop	Force terminate service
     Restart	Restart the service
     Add Worker Node	Add a server with the same specifications as the previously created Worker node to the cluster.
     Service termination	Terminate the entire Cloud Hadoop service and server

     Table. Cloud Hadoop status information and additional features

Detailed Information

On the Cloud Hadoop List page, you can view detailed information of the selected resource and edit the information if needed.

Tag

Cloud Hadoop List page lets you view the tag information of the selected resource, and add, modify, or delete it.

Job History

Cloud Hadoop List page allows you to view the operation history of the selected resource.

Managing Cloud Hadoop Resources

If you need to modify the existing configuration options of a created Cloud Hadoop resource or require additional configuration, you can perform the work on the Cloud Hadoop Details page.

If expansion of the Cloud Hadoop cluster is needed due to increased workload or other reasons, you can add Worker nodes with the same specifications as the existing Worker nodes.

Worker Node 추가 (네트워크 설정: 공통 설정) {#network}

You can add a Worker node to a Cloud Hadoop cluster whose network settings are created as common settings.

1. Click the All Services > Data Analytics > Cloud Hadoop menu. 1. Navigate to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Go to the Cloud Hadoop List page.
3. Cloud Hadoop List On the page, click the resource where you want to add a node. 3. Cloud Hadoop Details Navigate to the page.
4. Click the Add Worker Node button. 4. Go to the Add Worker Node page.
5. After selecting Worker Node count, click the Complete button.

Add Worker Node (Network configuration: per-server settings)

You can add Worker nodes to a Cloud Hadoop cluster whose network configuration is set as per-server settings.

To add a Worker node, follow the steps below.

1. All Services > Data Analytics > Cloud Hadoop menu, please click. 1. Navigate to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Cloud Hadoop List navigate to the page.
3. Cloud Hadoop List page, click the resource you want to add a node to. 3. Cloud Hadoop Details Go to the page.
4. Add Worker Node Click the button. 4. Go to the Add Worker Node page.
5. Please select the Worker Node count. 5. The server configuration area is automatically added based on the number of selected nodes.
6. In the added server configuration area, enter IP and NAT IP, then click the Complete button.

Security Group Change

To change the Security Group of Cloud Hadoop, follow these steps.

1. All Services > Data Analytics > Cloud Hadoop Click the menu. 1. Navigate to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Go to the Cloud Hadoop List page.
3. On the Cloud Hadoop List page, click the resource whose Security Group you want to change. 3. Cloud Hadoop Details Go to the page.
4. Click the Edit button of Security Group on the detail information page. 4. Security Group selection The popup window opens.
5. Search for the Security Group you want to add, then select the checkbox. 5. The selected Security Group is displayed in the list below.
6. Click Confirm. 6. The selected Security Group will be applied.

Add optional service

You can additionally install the Cloud Hadoop ecosystem (Data Governance, Analytical Data Warehouse, Data Ingestion).

Data Governance/Analytical Data Warehouse addition

To install Data Governance and Analytical Data Warehouse additionally, follow the steps below.

1. All Services > Data Analytics > Cloud Hadoop Click the menu. 1. Navigate to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Cloud Hadoop List navigate to the page.
3. Cloud Hadoop List Click the resource on the page where you want to add an optional service. 3. Cloud Hadoop Details Go to the page.
4. On the detail information page, click the Add button for the option service you want to add. 4. The notification popup opens.
5. After reviewing the contents of the popup window, click the Confirm button. 5. The option service will be added automatically.
   • It may take some time depending on the scale.

Data Ingestion addition

To install Data Ingestion additionally, follow the steps below.

1. All Services > Data Analytics > Cloud Hadoop menu, please click. 1. Go to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Go to the Cloud Hadoop List page.
3. Cloud Hadoop List On the page, click the resource where you want to add an optional service. 3. Cloud Hadoop Details navigate to the page.
4. On the detail information page, click the Add button of Data Ingestion. 4. Add Data Ingestion Navigate to the page.
5. After selecting the number of Ingestion Nodes, server type, and storage type and capacity, click the Complete button. 5. The option service will be added automatically.
   • It may take some time depending on the scale.

Change Server Type

You can change the server type of the Master node, Worker node, or Ingestion node in Cloud Hadoop.

To change the server type, follow the steps below.

1. Click the All Services > Data Analytics > Cloud Hadoop menu. 1. Go to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Go to the Cloud Hadoop List page.
3. Cloud Hadoop List page, click the resource whose server type you want to change. 3. Cloud Hadoop Details Navigate to the page.
4. On the detail information page, click the Edit button of the Server Type for the node you want to change. 4. Edit Server Type The popup window opens.
5. After selecting the server type, click the Confirm button. 5. The notification popup opens.
   • Scale-Down of server type is not allowed.
6. After reviewing the contents of the popup window, click the Confirm button.
   • The entire server on the node will be updated to the requested specifications, and the Cloud Hadoop cluster will restart.

Expanding Storage

Storage added to the data area can be expanded up to a maximum of 12 TB based on the initially allocated capacity. You can expand storage without stopping Cloud Hadoop operation, and if it is configured as a cluster, all nodes are expanded simultaneously.

To increase storage capacity, follow the steps below.

1. All Services > Data Analytics > Cloud Hadoop Click the menu. 1. Navigate to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Cloud Hadoop List Navigate to the page.
3. On the Cloud Hadoop List page, click the resource you want to expand capacity for. 3. Cloud Hadoop Details Go to the page.
4. On the detail information page, click the Edit button of the node’s Disk you want to expand. 4. Disk Edit The popup window opens.
5. After entering the number of units, click the Confirm button. 5. The notification popup opens.
   • You can set the capacity by entering the number of units provided in 8 GB increments.
6. After reviewing the contents of the popup window, click the Confirm button.
   • It may take some time depending on the scale.

Add storage

If the storage space allocated to the data area exceeds 12 TB, additional storage can be added. When configured as a cluster, they are added simultaneously for each node type.

Follow the steps below to add storage.

1. All Services > Data Analytics > Cloud Hadoop Click the menu. 1. Navigate to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Go to the Cloud Hadoop List page.
3. On the Cloud Hadoop List page, click the resource where you want to add storage. 3. Cloud Hadoop Details Navigate to the page.
4. On the detail information page, click the Add Disk button of the node you want to add storage to. 4. Add Disk The popup window opens.
5. Select the disk type, enter the capacity, and then click the Confirm button. 5. The notification popup opens.
   • If encryption is configured on the existing Block Storage, encryption will also be applied to the additional Disk.
   • If you configure it by selecting HDD, performance degradation may occur.
6. After reviewing the contents of the popup window, click the Confirm button.
   • It may take some time depending on the scale.

Connecting to Cloud Hadoop

Follow these steps to access Cloud Hadoop.

1. Check the IP of the Windows system (PC) that will connect to Cloud Hadoop.
   • Since external access is required, you need to check the system’s NAT IP.
2. Add the following content to the hosts file on Windows.
   • VM host IP of the Cloud Hadoop cluster
   • VM host name of the Cloud Hadoop cluster
3. Add the following rule to the Security Group you selected when applying for the Cloud Hadoop service.
   • Category: Inbound
   • Protocol: TCP
   • Target address: Windows system IP
   • Port: 7080
4. On the Windows system you want to connect to, launch the Chrome browser and then access the Cloud Hadoop Manager URL.

Apache Hadoop Ecosystem Target IP/Port Information

Terminate Cloud Hadoop

You can terminate unused Cloud Hadoop to reduce operating costs.

To cancel the service, follow these steps.

1. Click the All Services > Data Analytics > Cloud Hadoop menu. 1. Navigate to the Service Home page of Cloud Hadoop.
2. On the Service Home page, click the Cloud Hadoop menu. 2. Cloud Hadoop List Navigate to the page.
3. On the Cloud Hadoop List page, select the resource to be terminated, then click the Terminate Service button. 3. The notification popup opens.
4. Check the contents of the popup window, enter the name of the resource to be terminated, and then click the Confirm button.
5. When the termination request is completed, check on the Cloud Hadoop list page whether the resource has been terminated.
   • It may take some time depending on the scale.

1.3 - API Reference

1.4 - Release Note

Cloud Hadoop

2 - Event Streams

2.1 - Overview

Service Overview

Event Streams provides fully managed creation and configuration of the open-source Apache Kafka for large-scale, high-volume message data processing. Samsung Cloud Platform automates the creation and configuration of Apache Kafka through a web-based console, allowing users to configure the main components of Apache Kafka—Broker, Zookeeper, and AKHQ—in either a single or clustered setup.

The Event Streams cluster consists of multiple Broker nodes; you can install between 1 and 10 Brokers, typically deploying three or more. Zookeeper can be installed separately to manage the distributed Brokers, but if not installed separately, it is installed on the Broker nodes. Additionally, we provide AKHQ (Apache Kafka HQ), a tool for managing Kafka, allowing users to perform cluster operation and management through it.

Provided features

Event Streams provides the following features.

• Auto Provisioning: You can configure and set up an Apache Kafka cluster via the UI.
• Operation Control Management: Provides functionality to control the status of running servers. In addition to starting and stopping the cluster, restarting is possible to apply configuration changes.
• AKHQ provision: We provide AKHQ, a tool for managing Kafka, enabling users to manage and monitor clusters.
• Add Broker node: If expansion is required to improve cluster performance and stability, you can add a node with the same specifications as the existing Broker nodes.
• Parameter management: You can configure and modify parameters related to performance improvement and security.
• Monitoring: CPU, memory, performance monitoring information can be accessed via Cloud Monitoring and Servicewatch.

Component

Event Streams provides pre‑validated engine versions and various server types in accordance with its open‑source support policy. Users can select and use them based on the scale of the service they wish to configure.

Engine version

The engine versions supported by Event Streams are as follows.

Technical support can be used until the supplier’s EoTS (End of Technical Service) date, and the EOS date when new creation is stopped is set to six months before the EoTS date.

The EOS and EoTS dates may change according to the supplier’s policy, so please refer to the supplier’s license management policy page for details.

• Apache Kafka: https://docs.confluent.io/platform/current/installation/versions-interoperability.html

Server Type

The server types supported by Event Streams are as follows.

For detailed information about the server types provided by Event Streams, refer to Event Streams Server Types.

Standard ess1v2m4

Preliminary Service

This is a list of services that must be pre-configured before creating the service. Please refer to the guide provided for each service and prepare in advance.

2.1.1 - Server type

Event Streams server type

Event Streams provides server types composed of various combinations such as CPU, Memory, and Network Bandwidth. When creating Event Streams, Apache Kafka is installed according to the server type selected for the intended use.

The server types supported by Event Streams are as follows.

Standard ess1v2m4

ess1 server type

The ess1 server type of Event Streams is offered with standard specifications (vCPU, Memory) and is suitable for various database workloads.

• Intel 3rd‑generation (Ice Lake) Xeon Gold 6342 Processor up to 3.3 GHz
• Supports up to 16 vCPUs and 64 GB of memory
• Maximum networking speed of 12.5 Gbps

ess2 server type

The ess2 server type of Event Streams is offered with standard specifications (vCPU, Memory) and is suitable for various database workloads.

• Intel 4th‑generation (Sapphire Rapids) Xeon Gold 6448H Processor up to 3.2 GHz
• Supports up to 16 vCPUs and 64 GB of memory
• Maximum networking speed of 12.5 Gbps

esh2 server type

The esh2 server type of Event Streams is provided with high-capacity server specifications and is suitable for database workloads for large-scale data processing.

• Intel 4th‑generation (Sapphire Rapids) Xeon Gold 6448H Processor up to 3.2 GHz
• Supports up to 32 vCPUs and 128 GB of memory
• Maximum networking speed of 25 Gbps

ess3 server type

The ess3 server type of Event Streams is offered with standard specifications (vCPU, Memory) and is suitable for various database workloads.

• Intel 6th‑generation (Granite Rapids) Xeon 6737P Processor up to 4.0 GHz
• Supports up to 16 vCPUs and 256 GB of memory
• Maximum networking speed of 12.5 Gbps

esh3 server type

The esh3 server type of Event Streams is provided with high-capacity server specifications and is suitable for database workloads for large-scale data processing.

• Intel 6th‑generation (Granite Rapids) Xeon 6738P Processor up to 4.1 GHz
• Supports up to 128 vCPUs and 1,536 GB of memory
• Maximum networking speed of 25 Gbps