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Copy file name to clipboardExpand all lines: English/vdb/kafka-cluster-kds/README.md
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Kafka Cluster DB is a new service on the vDB platform, providing a powerful and flexible Kafka server cluster to manage real-time event streaming. With Kafka Cluster DB, you can easily build large-scale data processing applications, messaging systems, and centralized logging with high scalability, data durability, and outstanding performance.
|**Cluster management**| The service provider (GreenNode vDB) is responsible for managing, maintaining, upgrading and monitoring the Kafka cluster. | Users self-manage the entire Kafka cluster, including installation, configuration, maintenance, upgrades and monitoring. |
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|**Configuration and deployment**| Easy to configure and deploy through web interface or API. | Requires in-depth Kafka knowledge and system administration skills for installation and configuration. |
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|**Scaling**| Easy to scale by adding resources through the management interface. | Requires manual scaling process, which can be complex and time-consuming. |
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|**Monitoring and troubleshooting**| The service provider (GreenNode vDB) provides monitoring tools and troubleshooting support. | You self-monitor and troubleshoot, requiring expertise and experience. |
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|**Cost**| Typically lower long-term costs due to savings on infrastructure investment, operational costs and personnel costs. | Higher long-term costs due to the need to invest in infrastructure, operations and personnel. |
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|**Flexibility**| May be limited in customization and control compared to self-managed clusters. | Allows full customization and control of the Kafka cluster. |
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|**Suitable for**| Businesses that want to focus on application development and don't want to invest heavily in infrastructure management. | Businesses with strong technical teams that want full system control and can handle incidents themselves. |
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|**Criteria**|**Kafka Cluster DB Managed Service**|**Traditional Kafka Cluster**|
|**Cluster management**| The service provider (GreenNode vDB) is responsible for managing, maintaining, upgrading and monitoring the Kafka cluster. | Users self-manage the entire Kafka cluster, including installation, configuration, maintenance, upgrades and monitoring. |
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|**Configuration and deployment**| Easy to configure and deploy through web interface or API. | Requires in-depth Kafka knowledge and system administration skills for installation and configuration. |
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+
|**Scaling**| Easy to scale by adding resources through the management interface. | Requires manual scaling process, which can be complex and time-consuming. |
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+
|**Monitoring and troubleshooting**| The service provider (GreenNode vDB) provides monitoring tools and troubleshooting support. | You self-monitor and troubleshoot, requiring expertise and experience. |
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|**Cost**| Typically lower long-term costs due to savings on infrastructure investment, operational costs and personnel costs. | Higher long-term costs due to the need to invest in infrastructure, operations and personnel. |
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|**Flexibility**| May be limited in customization and control compared to self-managed clusters. | Allows full customization and control of the Kafka cluster. |
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|**Suitable for**| Businesses that want to focus on application development and don't want to invest heavily in infrastructure management. | Businesses with strong technical teams that want full system control and can handle incidents themselves. |
***Name:** Name your Kafka cluster for easy identification and management.
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***Kafka Version:** Choose the Kafka version that suits your needs. Different versions may have different features and performance.
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***Flavor (CPU, RAM):** Select the hardware configuration (CPU and RAM) for brokers in the Kafka cluster. This configuration affects the processing capability and performance of the cluster.
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***Number of Brokers:** Determine the number of brokers in the Kafka cluster. The number of brokers affects the fault tolerance and scalability of the cluster.
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***Storage per Broker (IOPS and Capacity):** Choose the storage capacity and IOPS (Input/Output Operations Per Second) for each broker. This affects the data storage capacity and read/write performance of the cluster.
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***Network (VPC, Subnet):** Select the virtual network (VPC) and subnet where the Kafka cluster will be deployed. When initialized, the Kafka cluster will be in private mode (accessible only from within the VPC). After successful initialization, you can enable public access if needed.
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***Access Method Control (mTLS, SASL):** Choose the authentication and authorization method for clients connecting to the Kafka cluster. mTLS uses client and server certificates, SASL uses username and password.
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***Encryption Mode:** Choose the data encryption mode. By default, encryption in transit (data encrypted when transmitted between client and broker) and within cluster (data encrypted when stored on brokers) are enabled.
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***Config Group:** Select the configuration group to apply to the Kafka cluster. The configuration group contains detailed settings for Kafka operations.
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3. Click the "Create" button to start the Kafka cluster creation process. 
***Name:** Name your Kafka cluster for easy identification and management.
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***Kafka Version:** Choose the Kafka version that suits your needs. Different versions may have different features and performance.
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***Flavor (CPU, RAM):** Select the hardware configuration (CPU and RAM) for brokers in the Kafka cluster. This configuration affects the processing capability and performance of the cluster.
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***Number of Brokers:** Determine the number of brokers in the Kafka cluster. The number of brokers affects the fault tolerance and scalability of the cluster.
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***Storage per Broker (IOPS and Capacity):** Choose the storage capacity and IOPS (Input/Output Operations Per Second) for each broker. This affects the data storage capacity and read/write performance of the cluster.
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***Network (VPC, Subnet):** Select the virtual network (VPC) and subnet where the Kafka cluster will be deployed. When initialized, the Kafka cluster will be in private mode (accessible only from within the VPC). After successful initialization, you can enable public access if needed.
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***Access Method Control (mTLS, SASL):** Choose the authentication and authorization method for clients connecting to the Kafka cluster. mTLS uses client and server certificates, SASL uses username and password.
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***Encryption Mode:** Choose the data encryption mode. By default, encryption in transit (data encrypted when transmitted between client and broker) and within cluster (data encrypted when stored on brokers) are enabled.
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***Config Group:** Select the configuration group to apply to the Kafka cluster. The configuration group contains detailed settings for Kafka operations.
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3. Click the "Create" button to start the Kafka cluster creation process.
***Permissions:** In the permission section, click "Add Permission" to select Produce (write data to topic) and Consume (read data from topic) permissions for each topic this user needs to access.
Copy file name to clipboardExpand all lines: English/vdb/opensearch-cluster-database-ods/bat-dau-voi-opensearch-cluster/day-du-lieu-hoac-logs-tu-server-vao-mot-opensearch-cluster-da-khoi-tao.md
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# Push data or event logs from Logstash into an initialized OpenSearch Cluster
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# Push data or event logs from Logstash into an OpenSearch Cluster
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## Prerequisites
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Suppose you have successfully initialized an OpenSearch Cluster with the following parameters: 
You can get the `OpenSearch_ReceiveLogs_Endpoint` information from the vDB Portal and replace `<<Master_User_Password>>` with the master account password you previously created.
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