For modern IT, including Ops, DevOps, SRE, infrastructure and platform engineering teams need to manage performance of services across complex multi cloud, hybrid cloud, and on premises IT environments, undergoing constant change due to continuous application releases and adoption of DevOps practices and want self healing reliable operation, the BMC Helix ITOM is the only fully integrated Observability and AIOps solution that provides ML/AI powered discovery, monitoring, optimization, automation, and remediation of services. Unlike siloed tools that provide incomplete insights or address only a portion of IT management, only the BMC Helix ITOM empowers IT to prevent incidents and deliver ML powered self healing and reliable services enabling fast innovation.

BMC Helix ITOM is the only fully integrated Observability and AIOps solution that provides ML andAI powered discovery, monitoring, optimization, automation, and remediation of services. Unlike other siloed tools, BMC Helix ITOM empowers IT to prevent incidents and ML powered self healing and reliable services enabling fast innovation.

Key features of the BMC Helix Observability and AIOps solution include: ` Accurate Observability and AIOPs with breadth of reconciled data. Get accurate ML based insights combining metrics, events, logs, incidents, traces, changes, topology, and data from other tools. Data is collected using intelligent connectors or by native ingestion.

Service discovery and dynamic modeling: Discover IT assets and relationships to provide context for causality. Combine service discovery with service blueprints to obtain an accurate view of incident impact across applications and infrastructure.

Service monitoring with predictions: Observe service performance using heat maps and tile views. Predict future service behavior based on historical data to prevent incidents.

AI for root cause isolation: The BMC Helix Observability and AIOps solution uses causal AI to determine the root cause and eliminate costly war rooms it goes beyond the noise. This frees up time for engineers to focus on the most productive tasks and avoid the blame game altogether.

ML based situations: Proactively correlate events and determine root causes across services using machine learning. Additionally, unlike traditional AIOps tools that reduce noise by consolidating similar alerts into a group, the BMC Helix Observability and AIOps solution provides human readable summaries using BMC HelixGPT along with visual diagrams that clearly show the impact and how the root cause was diagnosed.

Generative AI powered recommendations: BMC Helix Observability and AIOps solutions patented Best Action Recommendation. powered by BMC HelixGPT, uses similar past incidents and actions to recommend the best way to resolve the issues. It delivers code templates like Ansible runbook or Bash scripts recommend automated remediation.

Intelligent automation: Automate repetitive tasks and corrective actions to eliminate manual work.

Oversubscription risk identification and saturation forecasting: Prevent incidents by predicting up to 30 days when infrastructure and application resources will likely run out of capacity.

What If business planning and simulation: The BMC Helix Observability and AIOps solution goes even further in preventing incidents by giving IT teams the ability to simulate upcoming business events ex. open enrollment, Black Friday, market launch and proactively ensure there are sufficient infrastructure resources.

Advanced and policy based anomaly detection: Detect single timeseries univariate anomalies using one-click configuration or policy based anomalies. Fine-tune detection with adjustable sensitivity and trigger notifications.

Resource optimization recommendations: Because the BMC Observability and AIOps solution accurately identifies the required resources to avoid capacity related incidents, it can also help IT teams right size resources and minimize unnecessary infrastructure spending.