We are pleased to announce several major and minor innovations for ITOM Health in the November release.
The first major, highly anticipated application becoming GA is Cloud Native Operations. This includes all needed features to onboard fully ITOM-enabled Kubernetes clusters with containerized midservers and continuously running Agent Client collectors. These provide visibility to capture and map clusters, namespaces, nodes, pods, and workloads and keep them updated in near real-time in the CMDB. Beyond visibility, cloud native operations for AIOps supports the health and metric collection to provide continual status on the service operations workspace.
With Cloud Native Operations for AIOps, you can spin up a new application environment in its own Kubernetes cluster using ServiceNow-provided single line coding, launch discovery within minutes, add the nodes and fully mapped service from tags, and begin checking events and metrics for the application services within minutes.
To begin with the AIOps workflows for Cloud Native Operations, you’ll want to download the Cloud Native Operations application version 3.0. You’ll need the license for ITOM Visibility v2 and ITOM Health v2 or the bundle for ITOM Operator Professional v2 or ITOM AIOps Professional v2. Technical prerequisites include ACC-F, updated versions of Discovery Mapping patterns and the CMDB CI Class models.
It’s worth mentioning that the November store release includes a couple of important features for Visibility that are highly relevant to Health and Predictive AIOps. These include a feature that will employ machine learning to create automated service mapping suggestions. These will make it much easier both to get started and keep maps up-to-date, bringing high fidelity, trusted business context to predictive operations. Starting in November, we are also adding support for Microsoft CA certificates which can avoid outages by automating and proactively addressing certificate management.
Beyond these innovations, we have several notable additional Health features. Scale out alert processing using multiple jobs to determine how alerts will process instead of basing the logic on a single role.
Take greater control of parsing your health logs and leverage valuable information related to health logs more quickly by identifying and training new log data sources. The HLA Smart Parser is available in the November 22 store release.
Also in the November 22 release and also related to getting to value faster is a feature to quickly copy and move the entire non-production configuration for HLA to production from a nonproduction environment.
In the Tokyo family release, we announced the ability to create operations reports and dashboards based on ML parsed HLA logs. In the November 22 release, look for predefined, out-of-box dashboards focused on general operations as well as Metric Intelligence. Use a guided setup wizard for the ACC-L agent to quickly onboard apps like Nginx. Take advantage of a new test mode to trial data input mapping without the risk of triggering noise in alerts or anomaly detection processing. Better balance the load coming from large-scale metrics with a proxy cluster for ACC-M.
Finally avoid manually configuration altogether for Linux logs by activating an HLA content pack. Look for more content packs in the store coming soon.
