With the recent pandemic situation, businesses across the globe have realized the significance of IT systems for business resiliency and the need for IT operational resiliency. IT leaders across the globe, and all industry sectors, have learned from these extraordinary circumstances in many ways, including:
- Digital transformation is critical for business resiliency and the need to accelerate investments in hybrid cloud and application modernization.
- Top-grade resiliency plans may not be able to ensure system availability due to shortage or unavailability of IT staff, and IT Automation and AIOps is a must for Operational resiliency.
With digital transformation driving increased use of IT systems, unexpected workload patterns, and increased availability expectations - IT operational resiliency is under constant stress with traditional IT operations approach, and IT operations is constantly dealing with
- Many recurring outages going un-noticed until a customer complains.
- Outages taking too long to isolate and fix.
- Growing backlog of unfixed problems.
- Ever growing need to add more operators to monitor IT systems
- Never ending war-rooms to analyze and resolve incidents
IT organizations and leaders aren’t able to address these challenges with limited resources (budget and staff) and are exploring opportunities to automate IT Operations with Artificial Intelligence Operations (AIOps).
Most hybrid applications connect across multiple technologies and platforms, including mainframes. You can’t have a comprehensive resiliency strategy for such applications, without incorporating the mainframe. In a recent report Charles Araujo, Principal Analyst at Intellyx states that “The mainframe must be central to an AIOps adoption effort not because it is somehow more important than the rest of the stack, but simply because it is an essential element of most business-critical workflows.” To learn more, register for the paper here: http://ibm.biz/IntellyxReport1
AIOps improves operational resiliency by automating following use cases:
- Identify, predict and isolate problems faster
- Analyze operational data to determine root cause analysis
- Forecast capacity needs and optimizing resource utilization
- Intelligent automated IT Operations
To learn more about these use cases, available solutions, and engage with experts please join and explore AIOps communities http://ibm.biz/AIOpsCommunity. Are you ready for your journey to AIOps, but not sure where to start?
In this “Accelerating AIOps on the Mainframe” report, Jason English, a Principal Analyst at Intellyx, provides best practices for achieving operational resiliency through AIOps strategies including IBM Z. Take a look: https://www.ibm.com/downloads/cas/2JNORZLL