You guessed it!
My leadership asked me what I knew about AIOps.
As a career developer across all the platforms, I was able to quickly explain how we performed all those steps manually using massive teams and the challenge scenarios we encountered trying to perform problem determination and associate probable remediation. We always dreamed there was a better way. Now there is with AIOps.
The future of IT is dependent on AIOps. The 2022 Gartner Market Guide for AIOps Platforms says it well: “There is no future of IT operations that does not include AIOps. This is due to the rapid growth in data volumes and pace of change (exemplified by rate of application delivery and event-driven business models) that cannot wait on humans to derive insights.”
I have seen enterprise applications that morph into super complicated solutions because of their inter-dependencies. Complexity breeds complicated change management, error prone programs and applications that are difficult to troubleshoot during service issues, eventually impacting the business in multiple ways. ( efficiencies, costs, quality)
In order to face off and address this task, there are a few areas that must be addressed:
Plan how you will handle incident management and consider automated routing and resolution where possible.
Establish some KPI's and metrics for measuring your automation success.
Identify the best response to the monitoring alerts.
Evaluate historical data related to common issues and the resolution, using this data as the starting point for the design strategy.
Determine the amount of risk you are willing to absorb.
Coordinate and agree on a common process model for your team.
The added value with AIOps automation will vary depending on the specific tasks and processes that are being automated, and the current state of the organization's IT infrastructure and processes. AIOps automation can potentially save a significant amount of labor by automating repetitive and manual tasks, as well as reducing the need for manual intervention in incident response and problem resolution.
AIOps platforms can automate the incident response process, for example, by identifying and resolving issues automatically, reducing the need for manual investigation and troubleshooting. Additionally, AIOps can be used to monitor and analyze metrics, such as resource usage and performance, to identify areas for optimization and automate adjustments to resources as needed.
The use of AIOps can also help to improve the efficiency of the software development lifecycle by automating tasks such as testing, deployment, and rollbacks. This can reduce the need for manual intervention and increase the speed of the software delivery process.
It's worth noting that, while AIOps can reduce the need for labor in certain areas, it also requires a skilled labor force to implement, maintain and configure the technology, so it's important to have a balance between automation and human expertise.
Overall, the amount of value gained with AIOps automation will depend on the specific use case and the current state of the organization's IT infrastructure and processes. However, it has the potential to significantly reduce the workload for IT operations and development teams.
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