June 29, 2022 By Mandy Long 2 min read

IBM is pleased to announce the latest release of IBM Cloud Pak® for Watson AIOps — version 3.4 — available as of June 30, 2022.

IBM Cloud Pak for Watson AIOps version 3.4 release focuses on improvements that continue to bring together our powerful IT Automation portfolio and provides enhancements to our scalability.

Additionally, we’ve added a new connector to our network monitoring product, IBM SevOne Network Performance Management (NPM), to help network data flow to Cloud Pak for Watson AIOps to detect incidents and achieve proactive incident resolution stemming from customers’ network environments. This helps users in the midst of an IT incident go from finger-pointing in the war-room to clearly and quickly locating failures for prompt resolution. Finally, Cloud Pak for Watson AIOps will feature new improvements to Infrastructure Automation, and it will now provide support for Red Hat Virtualization 4.4 and the System Z (in addition to the integration with Turbonomic), to ensure clients leverage existing deployments and increase ROI with proactive AIOps capabilities.

New features

Integration with IBM SevOne NPM

Cloud Pak for Watson AIOps v3.4 and the new connector with IBM SevOne NPM allow companies to add an additional tool on their journey to AIOps. In the past few years, the focus of the shift from IT Operations to AIOps has been application-centric. Today, with the launch of v3.4 of Cloud Pak for Watson AIOps, this application-centric approach shifts to full-stack observability through integration with the dynamic network monitoring and alerting capabilities from IBM SevOne NPM.

Enterprise scaling updates

According to the IDC, 80% of organizations estimate that they have over 1,000 applications in their portfolio, which means that now, more than ever, scalability is an essential part of AIOps. IBM Cloud Pak for Watson AIOps v3.4 delivers on the promise to serve organizations with dozens or thousands of applications with improvements to a few of our key features:

  • New ways of viewing events/alerts, relevant information and associated runbooks that can be used with existing Netcool components (e.g., Netcool/OMNIbus, Netcool/Impact) deployed in production.
  • The ability to investigate multiple metrics at one time.
  • Improvements to change-risk model performance using data profiling, data selection and user feedback.
  • The ability to create custom event, topology and metric data collectors.
  • Improvements to scalability, upgradeability, backup and restore and geo-redundancy.

Overall, our solution generates trusted opinions, insights and actions that enable users to consolidate and prioritize their work. Users spend less time identifying issues and can now allocate more time to innovation.

Learn more

To learn more, visit our IBM Cloud Pak for Watson AIOps page, and learn all about our product features with our product tour.

More from Artificial intelligence

The “hidden figures” of AI: Women shaping a new era of ethical innovation

3 min read - The end of March marks the conclusion of Women’s History Month. And despite the increased focus on women’s issues and contributions to society throughout the month, the conversation would be incomplete without recognizing how indispensable the success of women—past and present—has been in the tech industry. In particular, women are leading the way every day toward a new era of unprecedented global innovation in the field of generative AI. However, a New York Times piece that came out a few months…

Celebrating the women of IBM AI Ethics

3 min read - For more than 100 years, IBM’s founding principles have inspired efforts to promote equality, fairness and inclusion in the workplace and society. The company has lived the value of “respect for the individual” by championing employment practices that reward ability over identity and that make work more attainable for all. In 1935, approximately twenty years after IBM was founded, it began hiring women into professional roles. Three decades before the US Equal Pay Act of 1963, IBM’s CEO, Thomas J.…

Ahead of the curve: How generative AI is revolutionizing the content supply chain

6 min read - The global adoption of generative AI is upon us, and it’s essential for marketing organizations to understand and play in this space to stay competitive. With content demands expected to grow in the next few years, organizations need to create more content at a faster pace to meet customer expectations and business needs. Knowing how to manifest these improvements is not always clear: Enter generative AI and the content supply chain. [button link="https://ibm.co/content-supply-chain"]Get the study: The Revolutionary Content Supply Chain[/button]…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters