What is AIOps?
It’s the convergence of traditional IT operations and artificial intelligence. AI is going to have a consequential impact on administration and system operations, just like all other domains.
The way infrastructure is managed can be redefined, when the power of AI is applied to operations.
AIOps is preparing to become the next big thing in the management of business IT operations in the following ways mentioned below:
- Modern IT environments incorporate managed cloud, unmanaged cloud, SaaS integrations, mobile, third-party services, and more.
Managing and tracking this complexity manually, i.e. through human oversight is no longer feasible. Current IT Operations technology is beyond the scope of manual management and it may get worse in the coming years.
AIOps uses machine learning and analytics to analyze data collected and integrated from various IT operations devices and tools, to automatically react to issues in real-time, hence driving the complexity away.
- AI can handle foundational to advanced operations that are related to storage management. It helps in managing the exponentially increasing amounts of data that IT operations need to retain.
Storage resources are monitored continuously for optimal utilization and performance when managing production workloads.
When the performance degrades due to lower storage capacity or when the disk becomes almost full, the administrators get an alert.
By bringing AI to storage ops, monotonous tasks such as reconfiguring disks and calibrating them are automated.
- AIOps is dependent on the quality of data coming from all monitoring tools in an IT environment. It is important to reconsider what data your existing tools can collect to find out what use cases AIOps could support when implementing AIOps.
Eventually, the final goal is for these tools to incorporate all the required technicalities and become smart enough to be able to automatically resolve issues without any kind of human intervention.
- AIOps mostly serves as a smart data strainer. It’s important for your IT ops team to have skills that are necessary for identifying use cases and training the algorithms.
The AIOps experience can make IT jobs more impactful and less tedious by finding and highlighting patterns faster and by automating routine functions that IT teams wouldn't have been able to discover on their own.
Whether it’s by making homegrown projects to smartly analyze, create and take action on operational data or by growing and purchasing the number of purpose-built solutions, AIOps plays a prominent role in every part of IT business operations in some way or the other.
You may also like to Read:
AIOps (Artificial Intelligence for IT operations) Explained in Detail
Identifying AIOps Trends & Predictions for 2019
