List of BMC Helix Continuous Optimization Integrations

This is a list of platforms and tools that integrate with BMC Helix Continuous Optimization. This list is updated as of April 2025.

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    BMC Helix Operations Management Reviews & Ratings

    BMC Helix Operations Management

    BMC Software

    "Optimize operations with AI-driven observability and insights."
    BMC Helix Operations Management presents a robust, cloud-native platform designed for observability and AIOps, tailored to navigate the intricacies of hybrid-cloud environments. By implementing a service-oriented approach to observability data, the solution fosters effective AIOps. It consolidates third-party observability information—encompassing metrics, events, logs, incidents, changes, and topologies—into a cohesive IT data repository. Users can effectively monitor the health of services and achieve advanced root cause isolation thanks to dynamically generated business service models. The system improves the signal-to-noise ratio through AI-enhanced event suppression, de-duplication, and correlation methods that result in actionable insights. With AI probability assignments to causal nodes, rapid identification of root causes becomes feasible, leveraging both data and service models efficiently. The platform aids in proactive management through Business Service Health monitoring and AI-driven outage forecasts, helping to prevent potential complications. Furthermore, the troubleshooting process is expedited with enhanced log analytics and enrichment, leading to faster problem resolution. The solution also allows for seamless requests and implementations of automations from BMC and external tools, which further boosts operational productivity. This comprehensive offering not only enables organizations to sustain peak performance but also significantly reduces the likelihood of downtime and operational disruptions, ensuring that businesses can operate smoothly and efficiently.
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    BMC Helix Cloud Cost Reviews & Ratings

    BMC Helix Cloud Cost

    BMC

    Maximize cloud investment while minimizing costs effectively today!
    BMC Helix Cloud Cost is designed to help you effectively manage and optimize your cloud spending while staying within budget limits. This innovative solution focuses on reducing expenses across various cloud platforms, preventing budget overruns before they occur. It offers a comprehensive view of expenditures in both public and private cloud environments. Utilizing predictive analytics alongside automated alerts, the platform helps you avoid unexpected financial issues and ensures you meet your budgetary goals. Furthermore, it provides automated suggestions and actions to eliminate unnecessary costs, giving budget managers and stakeholders straightforward access to relevant data. As the number of cloud users continues to increase, the importance of ongoing cost management becomes even more apparent. Monitoring the cloud services you have acquired and their usage is essential for maintaining control over your spending. Regular evaluations and proactive optimization of resource consumption are vital strategies to prevent overspending. It’s advisable to identify and deactivate idle or underused services, recalibrate over-provisioned resources to align with actual demand, and set power schedules for particular workloads. Additionally, leveraging the advantages of reserved instances while automating your optimization processes can significantly improve overall efficiency. By implementing these strategies, you can maximize the returns on your cloud investments and ensure that every dollar spent contributes to your organization's success.
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    BMC AMI Ops Automation for Capping Reviews & Ratings

    BMC AMI Ops Automation for Capping

    BMC

    Streamline workload management, reduce costs, and enhance efficiency.
    BMC AMI Ops Automation for Capping simplifies workload capping processes, effectively reducing risks and improving cost efficiency. Formerly branded as Intelligent Capping for zEnterprise, this solution utilizes automated intelligence to manage the MSU capacity settings essential for business functions, ensuring that companies can both minimize operational risks and optimize costs to meet digital demands. By automating the management of capping limits, organizations can focus on their most crucial workloads while also significantly lowering mainframe software licensing costs, which can consume 30-50% of the IT budget. In addition, the platform supports the dynamic automation of defined capacity MSU settings, promising a potential reduction in monthly software expenses by 10% or more. The system works proactively by analyzing, simulating, and adjusting defined capacity settings based on specific workload profiles, thereby reducing business risk. It also aligns MSU capacity with business priorities, ensuring resources are allocated to the most important tasks, while utilizing patented technology to facilitate capping modifications, which protects critical services from any disruptions. This holistic strategy not only maintains operational integrity but also fosters sustainable financial management in the IT landscape, leading to more efficient resource usage and improved overall performance. By integrating these advanced capabilities, organizations can better navigate the complexities of modern IT demands.
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