2 Integrations with BMC Helix Continuous Optimization
View a list of BMC Helix Continuous Optimization integrations and software that integrates with BMC Helix Continuous Optimization below. Compare the best BMC Helix Continuous Optimization integrations as well as features, ratings, user reviews, and pricing of software that integrates with BMC Helix Continuous Optimization. Here are the current BMC Helix Continuous Optimization integrations in 2026:
-
1
BMC Helix Operations Management
BMC Software
BMC Helix Operations Management is a fully integrated, cloud-native, observability and AIOps solution designed to tackle challenging hybrid-cloud environments. Take a service-centric approach to observability data for truly effective AIOps. Combine 3rd party observability data such as metrics, events, logs, incidents, changes and topologies into a central IT data store. See service health and enable best-in-class root cause isolation via auto-generated dynamic business service models. Improve signal-to-noise ratio with AI event suppression, de-duplication, and correlation to create actionable situations. Gain immediate root cause isolation through AI probability assignments to causal nodes using data and service models. Prevent issues before they occur with Business Service Health monitoring and AI outage prediction. Troubleshoot rapidly with log enrichment and analytics. Easily request and execute automations from BMC or 3rd party tools. -
2
BMC AMI Ops Automation for Capping. Automate workload capping to avoid risk and optimize costs. BMC AMI Ops Automation for Capping (formerly Intelligent Capping for zEnterprise) applies automated intelligence to manage business-critical MSU capacity settings to avoid operational risk, optimize costs, and meet the needs of digital demand. Automatically manage capping limits to prioritize workloads and optimize mainframe software license costs which can consume 30-50% of the IT budget. Dynamically automate defined capacity MSU settings to optimize your monthly software costs by 10% or more. Mitigate business risk by analyzing, simulating, and automatically managing changes to defined capacity settings based on workload profile. Align capacity to business demand by ensuring MSUs are allocated to highest priority workloads. Patented technology drives capping adjustments, ensuring the most business-critical services are unaffected.
- Previous
- You're on page 1
- Next