Amelia AIOps (formerly 1Desk) unites operations management and IT service management into a singular and seamless end-to-end ITSM platform. Existing ITSM and monitoring solutions can be easily integrated, so the platform protects previous IT investments.
Amelia AIOps unifies existing IT service management (ITSM) into a single autonomic backbone. This centralized approach empowers enterprises to automate high-volume IT tasks across departments, tap into Machine Learning to automatically create new automations, and open access to all users through Amelia’s conversational interface.
AIOps unites operations and service management into a singular and seamless end-to-end ITSM platform. Existing ITSM and monitoring solutions can be easily integrated, so AIOps protects previous IT investments. AIOps' ability to connect various IT tools is a critical component of the platform’s functionality. From data and content, to server management, to device procurement, AIOps can push and pull information between systems to ensure that no problem goes undetected, and then resolve issues via automations.
Here’s a basic example: If a company’s web hosting tool falters, and the issue is first detected in the application performance management (APM) system, a user will notify Amelia that there is an issue in the APM tool. Amelia will send AIOps' virtual engineers to scout the problem. AIOps will not be confused or confined to the APM tool. With its end-to-end integration capabilities, AIOps can seek out the issue within the web hosting tool and apply the required change.
In this post, we’ll examine four key areas in which AIOps' end-to-end functionality improves upon an enterprise’s existing ITSM investments.
AIOps efficiently executes tasks that previously required human intermediation, but the system can also learn from human intervention during unique or complex situations. If AIOps is unable to independently resolve a problem, the session is escalated to an experienced human agent. AIOps will observe the engagement in the background, log and learn the steps taken, and create a new workflow for the company’s automation engineers to approve. At that point, the fix becomes a permanent part of an enterprise’s ITSM procedures.
At the heart of AIOps' self-healing capabilities is IPpredictive and Event Monitoring. Predictive monitoring and analysis are basic IT ops requirements, but AIOps takes them a step further by allowing virtual engineers to respond to data and run automations. AIOps is the only solution of its kind that can provide true end-to-end oversight. Thanks to Icinga 2 Monitoring, AIOps users can perform fast, multi-threaded performance-oriented checks, in most cases thousands of times per second.
IPadmin within AIOps gives teams total control of their monitoring thresholds. Instead of assigning a human engineer a ticket every time the network becomes congested, AIOps can automatically process traffic data and solve the problem before a human worker even knows the threshold was met.
IPpredictive uses nine algorithm parameters to stay ahead of anomalies before they cause issues to an end-to-end IT environment. With Grubbs, Histogram Bins and other proven algorithm parameters, organizations can be alerted to looming anomalies and quickly apply pre-configured anomaly suppressors.
AIOps Versus Traditional Event Correlation
If for example a large cluster of servers and digital services fail simultaneously, traditional ITSM tools will notify IT staff, analyze what happened and provide information on what might have caused the failure. Armed with this information, IT staff can then begin to figure out how to fix the issue. If the same issue presents itself several weeks later, the same process can be repeated.
Conversely, AIOps notices the server and digital services failure, and attempts to remediate these issues based on previous automations that human engineers have approved or created. If AIOps can fix the issue, it will, without any involvement from human engineers. If AIOps can’t resolve the issue, the system will notify a human engineer, monitor the fix and determine if it can be automated. If the automation expert on staff determines it can, then AIOps will respond to similar issues using the “new” automation.
In the future, human engineers will only need to be involved when there is a deviation in how the fix needs to be applied. That deviation will be recorded and can be used for future automations as well. AIOps will still record all of the data and make it available for IT staff to analyze, but it goes beyond simple reports and notifications by addressing the issues automatically and actually solving problems itself.
End-to-End Integration is Crucial
With AIOps, your IT experts will no longer need to scour through logs of unstructured data in multiple systems to find the cause of an issue. The platform will use its Machine Learning and data analysis capabilities to scan logs across your IT ecosystem to determine the issue in mere seconds. Before your experts are able to make it past the log’s first thousand characters, AIOps will have found the cause of the issue, discovered a resolution, and notified your experts that it is prepared to institute a fix.
AIOps can elevate and unify ITSM across an enterprise, delivering superior levels of efficiency in addressing IT-related issues, which ultimately can produce better productivity among a company’s IT staff and the overall workforce.