What are the main system components of IBM Z Operational Log and Data Analytics?

The main components include the data collectors on z/OS, the data forwarder, and the analytics engine integration. Data collectors gather log data, the forwarder sends it to external systems, and the integration component ensures compatibility with analytics platforms.

What APIs does IBM Z Operational Log and Data Analytics expose?

IBM Z Operational Log and Data Analytics supports REST APIs for data access and integration. Specific endpoints allow for querying log data, managing data sources, and configuring forwarding rules. Integration is supported through standard HTTP/HTTPS protocols.

What databases or storage mechanisms are used?

Data is typically stored in the analytics engine (e.g., Splunk, Hadoop) to which the data is forwarded. On z/OS, VSAM ESDS files may be used for intermediate storage or buffering of log data before forwarding.

How does IBM Z Operational Log and Data Analytics improve business value?

By centralizing and analyzing z/OS log data, organizations can gain insights into system performance, identify potential issues, and improve operational efficiency. This leads to reduced downtime and faster problem resolution.

How does it enable proactive monitoring?

The product enables proactive monitoring of z/OS systems, allowing administrators to identify and address potential problems before they impact business operations. This helps maintain system stability and availability.

How does it help with compliance reporting?

IBM Z Operational Log and Data Analytics facilitates compliance reporting by providing a centralized repository of audit logs and system events. This simplifies the process of demonstrating adherence to regulatory requirements.

What authentication methods are supported?

IBM Z Operational Log and Data Analytics supports authentication methods such as LDAP, Kerberos, and X.509 certificates. These methods ensure secure access to the system and protect sensitive data.

What access control model is used?

The product uses Role-Based Access Control (RBAC) to manage user permissions. Administrators can assign roles to users, granting them specific privileges to access data and perform actions within the system.

What encryption is used and where?

Data in transit is encrypted using TLS/SSL protocols. Data at rest in the analytics engine depends on the capabilities of the specific engine used (e.g., Splunk, Hadoop).

What audit/logging capabilities exist?

IBM Z Operational Log and Data Analytics provides comprehensive audit logging capabilities. All user actions and system events are logged, providing a detailed audit trail for security and compliance purposes.

What administrative interfaces are available?

The product provides a web-based console for administrative tasks. This console allows administrators to configure data sources, manage users, monitor system performance, and troubleshoot issues.

How is user management handled?

User management is handled through the administrative console, where administrators can create, modify, and delete user accounts. Integration with existing directory services (e.g., LDAP) is also supported.

What are the main configuration parameters?

Key configuration parameters include data source definitions, forwarding rules, connection settings for analytics engines, and security settings. These parameters are typically configured through the administrative console or configuration files.

What monitoring/logging capabilities exist?

IBM Z Operational Log and Data Analytics provides monitoring dashboards and alerts to track system performance and identify potential issues. Log data can be analyzed to detect anomalies and trigger alerts.

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IBM Z Operational Log and Data Analytics

Name: IBM Z Operational Log and Data Analytics
Availability: InStock

IBM Active z/OS

Data Discovery Mining and Processing Operations

Vendor

IBM

Product Overview

IBM Z Operational Log and Data Analytics provides a robust architecture for collecting, forwarding, and analyzing z/OS log data. It combines the functionalities of IBM Common Data Provider and IBM Z Operation Analytics to offer a comprehensive solution for operational intelligence. The architecture consists of several key components: * **Data Collectors:** These components reside on z/OS and collect log data from various sources, including SYSLOG, SMF, NetView messages, VSAM ESDS files, and UNIX log files.

* **Data Forwarder:** This component forwards the collected data to external analytics engines such as Splunk and Hadoop. It supports various protocols for data transmission. * **Analytics Engine Integration:** This component ensures seamless integration with analytics platforms.

It handles data transformation and formatting to ensure compatibility. * **Administrative Console:** A web-based console for configuring data sources, managing users, and monitoring system performance. Communication between components is primarily through standard network protocols such as TCP/IP.

509 certificates. It uses Role-Based Access Control (RBAC) to manage user permissions. Data in transit is encrypted using TLS/SSL protocols.

Competing products include Splunk and Elastic Stack.

Frequently Asked Questions

What types of data sources does IBM Z Operational Log and Data Analytics support?

IBM Z Operational Log and Data Analytics consolidates log data from various z/OS sources, including SYSLOG, SMF, NetView, VSAM ESDS files, and UNIX log files. It then forwards this data to analytics engines like Splunk and Hadoop for analysis and reporting.

What is the core functionality of IBM Z Operational Log and Data Analytics?

The product combines the functionality of IBM Common Data Provider (for data forwarding) and IBM Z Operation Analytics (for reporting and analysis). It provides a unified solution for operational intelligence on z/OS.

How is IBM Z Operational Log and Data Analytics configured?

IBM Z Operational Log and Data Analytics uses configuration files to define data sources, forwarding rules, and analytics engine connections. These files specify which logs to collect, how to transform them, and where to send them.

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