BMC’s Path to
Our view on use case progression for achieving modern observability with AIOps
Choose a use case to learn more.
EVENT NOISE REDUCTION
PROBABLE CAUSE ANALYSIS
Starting with Event Noise Reduction helps you to clarify what events and incidents are most critical to your organization. With that context established, your team will have the time and energy to focus on those events, incidents, and alarms that are most urgent.
What are the benefits of establishing Event Noise Reduction?
What factors are critical to my success?
How do I measure
event noise reduction
Having capability around Event Noise Reduction has many positive outcomes, including:
In order to be effective with Event Noise Reduction, you will need elements such as:
Ingesting data from diverse sources and technologies
Aggregating various data types
Host data in a consolidated repository
Ability to effectively correlate events
How do I measure the impact?
Event Noise Reduction will create important and measurable efficiencies for your organization:
Hours per month spent on triaging events
Time identifying the impact of an event
Tools required to monitor the environment
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What are the benefits of having effective Proactive Alerting?
Those who invest in Proactive Alerting often see reductions in several areas including:
Frequency of impacts to service
Operational overhead required to monitor thresholds
Volume of user-reported incidents
Critical success factors can include:
Automated creation of incident tickets from events
Well-defined process triggers aligned with IT service management processes
Baseline of normal system performance and behavior
Proactive Alerting has many benefits for your company by creating greater efficiency and effectiveness for your team, such as:
Confidence that only actionable events are being generated
A next step toward modern observability using AIOps capability is focusing on Proactive Alerting. With it, you now have clarity around what is normal and can focus on those events that are the variations from the norm which may affect your service.
Improved diagnosis of issues due to enhanced data in events
Improved communication around service outage or degradation due to a better understanding of the overall impact
What are the benefits of Probable Cause Analysis?
Success with Probable Cause Analysis will be evident in the following measurements that should be compared with a before state:
Level of remediation effort
Event correlation ratios
These are some of the factors critical to achieving successful Probable Cause Analysis:
Established service models
Coordinated effort between infrastructure owners
Defined process for acting on the results
Probable Cause Analysis facilitates isolating the root cause of an issue and delivers benefits such as:
Reduced manual effort for teams
Provides visibility of impact across multiple or interrelated systems
More agile response to existing or pending issues that were not previously visible
Now that you have the benefits of Event Noise Reduction and Proactive Alerting, the next focus area is Probable Cause Analysis. Having further refined the area of focus, you become far more efficient in identifying relationships between infrastructure, applications, services and correlating monitoring data to identify the most likely cause for problems in the environment.
What are the benefits of having mature Automated Remediation?
The positive impact of Automated Remediation can be measured by:
Quantifying and comparing the number of manual versus automated remedial actions that are performed per month per incident
MTTR per outage or issue
Problem investigations for known errors converted into automated workflows
These are some of the factors critical to success with Automated Remediation:
Subject matter experts responsible for services, applications, and developing automated solutions
An established governing process for vetting automated solutions
Defined service management processes and triggers
A key benefit of Automated Remediation is enabling operational efficiency. By providing zero touch solutions to address repetitive and trivial tasks, that ultimately frees up skilled resources to focus on more complex issues and invest time in value-add activities.
With the prior use cases in place, we recommend moving next to Automated Remediation because now that you understand patterns of events, you can link that to automated resolutions.
What are the benefits of Capacity Optimization?
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The positive impact can be measured by:
Responsiveness to business demands
Overall capital expense of IT
Time and resources spent on planning and calculating capacity usage and availability
Below are some factors that are critical to success:
Integrated data sources
Dedicated team focused on all capacity data
Established supporting processes for IT and the Lines of Business
With a foundation from the previous four use cases and a strong baseline of usage patterns, you can now focus on Capacity Optimization. This capability aligns IT resources with business service demands making it possible to optimize current resource utilization, reduce cost, and plan for the future.
With Capacity Optimization, you can continuously optimize your environment and experience benefits such as:
Visibility of service capacity across
Reduction in IT spend
Predict future resource needs through simulating workloads