IT organizations are taxed with managing, maintaining, and augmenting complex IT infrastructures that are constantly evolving. At the same time, they must deliver consistent IT service performance and availability to end users, while enabling innovative digital transformation for the business.
And yet, IT teams face significant challenges, including:
- Addressing information overload
- Predicting capacity planning
- Assessing risks that are sometimes unknown
- Meeting complicated regulatory standards
Complexity is the common thread that runs through these challenges. However, an integrated observability and AIOps solution can help IT teams unravel that thread and simplify IT operations.
AIOps, combined with observability capabilities, helps unearth patterns in data to provide a holistic view of the entire environment. It also identifies issues before they become problems, and reduces the amount of noise generated by alerts, while automatically remediating low-level problems without requiring human intervention.
Not all platforms, however, provide the key capabilities required to enable AIOps and observability functionality. For example, AI can only provide valuable insights if it has access to a wide array of data about the IT environment — such as logs, events, tickets, etc. The platform should natively collect this raw data and/or integrate with systems to access it.
“Vendors that take in filtered data or offload key processing of raw data leave customers without complete insights and a limited ability to act before business issues arise,” according to a recent Forrester Wave™ report.
Also, the platform should provide comprehensive, automated remediation capabilities. IT professionals are already overwhelmed by alerts and tasks. Unless the AIOps platform can automatically remediate the low-risk issues it detects, it will fail to provide much value. As Forrester notes, “Current IT landscape complexity and the speed of business require AIOps solutions to execute remediations when needed.”
The Forrester report identifies BMC Helix IT Operations Management (ITOM) as a leader in AIOps and highlights some of the platform’s strengths, including:
- Noise reduction: IT professionals no longer waste time on inconsequential alerts because the platform identifies them as noise. One customer said that their IT team was “blown out of the water” by the reduction in noise and the BMC Helix predictive analytics capabilities.
- Discovery: The platform includes accurate, enterprise-grade automatic discovery of assets and their relationships.
- Blueprints: BMC Helix ITOM uses blueprint-based service modeling to bring together topology from a wide array of tools. Forrester found that it works across major cloud providers and on-premises infrastructure.
- Integration: The platform integrates easily with the tools and data sources that IT professionals use every day.
- Predictive AI: BMC Helix ITOM enables IT teams to proactively remediate future issues before they affect the production environment. It unifies service and operations management, and leverages AI/ML technology for proactive insights. These capabilities foster cross-team collaboration and enable a business-centric preventative, IT approach.
BMC Helix enables AIOps and observability functionality to simplify IT operations in complex environments. “BMC is a good fit for enterprises with complex and diverse environments that span mainframe to cloud and everything in between,” according to the Forrester report.
Learn more about AIOps and the BMC Helix platform by reading the full Forrester report: “Simplify the Complex: AIOps Leverages the Power of Generative AI and Observability to Identify and Prevent IT Issues Before They Arise.”
