BMC Helix Operations Management
In this release, we’ve rolled out several enhancements for BMC Helix Operations Management, including:
- Primary Situation: Improved situation understanding using GPT functionality and natural language descriptions. Primary Situations automatically groups related events into a Primary Situation, making it easier to assess the scope of an issue and assign remediation to the right team
- Situation Fingerprinting: Improved situation understanding using GPT functionality and natural language descriptions. Situation Fingerprinting uses AI to detect whether a similar issue has occurred in the past, eliminating the need to diagnose the problem again
- Log Analytics: Troubleshoot faster than ever thanks to enhanced anomaly detection powered by machine learning (ML). BMC Helix Log Analytics has rolled out improvements for log collection for Kubernetes, alerting improvements, and an upgrade to OpenSearch
- Intelligent Integrations: Add third-party monitoring data to BMC Helix Operations Management with AIOps faster and easier with new connector support for Kafka, Entuity, Datadog, and Micro Focus OBM and enhanced support for our existing Catchpoint, MS SCOM, and ServiceNow Utah data sources. These new connectors enable customers to combine more data sources to improve AIOps algorithms and speed up root cause isolation and mean time to repair (MTTR)
BMC Helix Continuous Optimization
BMC Helix Continuous Optimization 23.3 continues to build on its strong foundation by enhancing capabilities in the migration assessment tool to allow for quicker migrations.
- New capacity views for Solaris and AIX: Analyze the capacity of the AIX infrastructure and integrate AIX views into BMC Helix Dashboards
- Improved out-of-the-box BMC Helix Dashboards and BMC Helix Continuous Optimization: Improved capability to create flexible custom capacity-views
- Additional buffer table support: Enables our customers to enrich data collected by BMC Helix Continuous Optimization with data from additional external sources
- Buffer tables: Used by existing TrueSight Capacity Optimization users to augment, correlate, report, and analyze BMC Helix Continuous Optimization data with external data to add context, segmentation, and attribution data. Secure access to these buffer tables will be enabled using newly developed APIs that will be added to BMC Helix Continuous Optimization. This important feature will also allow advanced features such as showback, which requires organizational attribution information to create showback reports.
Dynamic Service Modeling
For IT teams working in complex business environments, finding the root cause of a problem can mean hours spent toggling between systems, dashboards, and log reports. This results in longer resolution times and less bandwidth to spend on strategically important work. Dynamic service modeling—the practice of creating a service infrastructure model that stays up to date in real-time—helps teams work faster and make time for innovation by providing a source of truth for complete infrastructure monitoring.
The first step to enabling dynamic service modeling is to ingest data from sources across your cloud-based, on-premises, hybrid, and third-party environments.
Accelerate innovation
BMC Helix Continuous Optimization provides growth forecasting that accurately predicts and aligns resources with critical business drivers that accelerate innovation. New capabilities enable you to:
- Replace time-consuming, manual model development: Provide faster insights and increase decision-making accuracy to align resources with future business requirements
- Right-size resources to align with future business requirements: Business Service Prediction uses advanced analytics to forecast growth of each business driver with existing capacity accurately
- Increase visibility and service assurance: Dynamic Service Model integration increases visibility of business service health using comprehensive consolidated views of application and infrastructure data
- Accurately predict cost and resource requirements for migrations to cloud: BMC Helix Cloud Migration Simulator increases decision-making accuracy when planning for on-premises to cloud migrations to reduce time, complexity, and cost
-
Learn how to manage cloud costs and resources with BMC Helix Cloud Migration Simulator
Reduce risk
BMC Helix Operations Management with AIOps helps improve service, avoid disruptions, and reduce IT risk. New capabilities enable you to increase observability and use service-centric monitoring to:
- Reduce service slowdowns and MTTR: Log Analytics and Log Enrichment collects log files across a wide variety of data sources to provide early diagnosis of potential issues
- Reduce event noise to improve service: BMC Helix Operations Management integration capabilities enable AIOps to consume service models for Situation and Root Cause Analysis to increase manageability
- Reduce complexity and accelerate time-to-value: BMC Helix Operations Management’s Service Modeling & Blueprints reduce time to create service models
Increase security
BMC Helix Operations Management with AIOps and BMC Helix Platform increase security and compliance by automating policies and change requests. New capabilities enable you to:
- Increase compliance and staff productivity: BMC Helix Intelligent Automation automates policies and processes for change requests to ensure appropriate approvals and improve talent management & employee experience
- Increase security and minimize risk: Unified views and common notification services ensure data integrity by reducing complexity associated with managing notifications from multiple platform components
