IBM Z Operational Log and Data Analytics accelerates hybrid incident identification with near real-time operational analytics.
Vendor
IBM
Company Website
Accelerate hybrid incident identification with near real time operational analytics
IBM Z® Operational Log and Data Analytics, based on the data streaming capabilities provided by Z Common Data Provider and the data insights known from IBM Z Operations Analytics, provides a single solution that helps to accelerate the mean time to identify incidents and provide a hybrid application view of your IBM Z data.
IBM Z Operational Log and Data Analytics accelerates hybrid incident identification with near real-time operational analytics. To do this, near real-time IBM Z operational data is streamed to an enterprise analytics platform, or the included log analysis platform, or both. The included insights help to quickly visualize and search operational data to reduce the mean time to identify the cause of operational issues.
Features
- **Accelerated incident identification: **Search, filter and visualize results from log, event and performance data. The included data streaming capability enables a single simplified collection point to access your z/OS® operational data in near real-time.
- **IBM Z insights delivered to your analytics platform: **Use IBM best practice insights on multiple analytics platforms including IBM, Splunk® and Elastic Stack®.
- **Single collection point: **Use a common infrastructure for accessing operational data, including: SMF records such as SMF 30 and SMF 80 records; RMF; SYSLOG The IBM z/OS System Log and USS SyslogD; JOBLOGs output written to a DD by a running job; application logs including IBM CICS Transaction Server logs and IBM WebSphere® Application Server logs; generic file—and send operational data generated by your own applications.
- **Streaming or batch mode: **Stream structured and unstructured data to analytics solutions in near real time. Use batch mode to collect detailed data for analysis or troubleshooting and retrieve archive information to investigate recurring problems.
- **Intuitive web configuration tool: **Quickly define data collection parameters—the ways in which the data can be consume—and the consumers of the data. The same data can be sent to multiple consumers such as Z Data Analytics platform, Splunk and Elastic Stack.
- **Out of the box log analytics platform: **Experience the rich and modern user experience, combined with the IBM Z specific requirements our clients have come to know and expect.
- **IBM Z specific dashboards and insights: **Use powerful searches and modern dashboards to extract contextualized insights from your Z data and ensure healthy operations across your hybrid applications. Supported subsystem dashboards include z/OS, WebSphere, Db2, CICS, IMS, MQ, Network and Security.
- **Advanced data filtering: **Advanced filtering lets you specifically target which records and fields within those records are sent to your analytics platform.
- **Optimized data ingestion into Splunk: **Ingesting IBM Z data into Splunk has been optimized to reduce the volume of data ingested—saving license costs and providing more flexibility to gain insight into IBM Z.
- **Extensible with new data types: **Add new SMF record definitions through simple configuration for proprietary or unsupported types—without requiring or waiting for code changes.
Benefits
- **Gain hybrid cloud visibility: **Use powerful searches and modern dashboards to extract contextualized insights from your Z data and ensure healthy operations across your hybrid applications.
- **Improve analytics flexibility: **Supply data to IBM analytics solutions or the analytics platform of your choice, including Splunk® and Elastic Stack®.
- **Expand consumable options: **Send data to multiple destinations in different formats for different consumers; filter to send only the required data to authorized consumers.
- **Reduce costs and effort: **Load SMF data directly into IBM Db2® Analytics Accelerator (IDAA) to reduce CPU processing and storage requirements. Balance CPU usage by using reclaimed space or space from non-production systems.
- **Simplified analytics experience: **Discover a solution to make sense of your Z data with the ability to stream, filter, search, visualize and much more.