Outdated Technology and IT Complexity Hampers Issue Resolution
The exponential growth of real-time business transactions, coupled with dynamic hybrid and software-based technologies, make even routine IT operations difficult when using outdated domain-centric tools. As application environments become more complex and distributed, and change more frequently, there are more failure indicators generated than what can be investigated using traditional approaches.
Detecting and diagnosing system problems manually is time-consuming and cumbersome. Inadequate IT operations management tools complicate the identification, analysis and resolution of system issues, as IT specialists struggle to establish a clear, complete view of what’s happening across the various technologies. As a result, operations teams often lack the insight needed to proactively monitor, troubleshoot and manage system environments. This hampers IT’s ability to detect and resolve incidents when a system disruption occurs.
AIOps – Fixing IT Problems Before They Happen
Powered by machine learning, AIOps has advanced analytical capabilities to help IT organizations forecast and resolve system issues. Using its artificial intelligence capabilities, AIOps can be taught to observe and recognize patterns and anomalies over time. Then it will be able to automatically analyze massive amounts of digital data, correlate leading indicators, and use historical behavior to help predict what could happen next. Power of analytics combined with correlation across IT domains delivers contextual operational insight. The insight gained from reviewing the results can help your team predict and prevent business outages, even before they cause actual problems.
AIOps can be taught to examine data trends and provide an early warning whenever it discovers possible issues. For example, the application can detect trends and patterns within the “noise” of millions of system incident reports, helping analysts uncover potential risks and performance issues. By automatically applying proactive and predictive insights, AIOps can help IT organizations diagnose and resolve system threats and performance risks, forestalling a damaging outage. This increases system uptime and performance, driving better outcomes for the business.
When system outages do occur, the predictive insights from AIOps can speed up root-cause analysis and remediation. By quickly and accurately diagnosing the root cause, your team can find and fix problems faster, often reducing downtime from hours to just minutes. The result is optimized system availability and enhanced business operations.
AIOps predictive analytics can provide up-to-date insight into your organization’s entire application and IT infrastructure resources, which can lead to a better understanding of the interdependencies between system components. This provides CIOs with valuable knowledge to better manage the increasing complexity and dynamic nature of their sprawling hybrid IT architectures.
The FixStream AIOps platform can quickly predict business application issues across an enterprise’s entire hybrid IT stack. Using its end-to-end view across all domains, the AIOps platform helps customers rapidly identify issues and predict outages, so they can save time and solve problems faster. For more information on how FixStream’s AIOps Platform can predict failure points across hybrid IT stacks, read our press release.