What is AIOps and why it is needed?

What is AIOps and why it is needed?

A dramatic increase in new services, remote users, cloud technologies, data and IoT devices has prompted a need for AIOps to supplement where traditional IT tools lack the automation and intelligence. AIOps stands for artificial intelligence for IT operations and describes the use of big data, analytics, and machine learning that IT teams can use to predict, quickly respond to, or even prevent network outages. AIOps caters to the estimation that more than 50% of data will be generated outside the data centre in the next 2 years, likely coming from the 55 billion IoT devices connected worldwide. 

AIOps eliminates manual troubleshooting tasks, reduces average resolution times as much as 90% for common network issues, and increases network capacity by as much as 25% through peer-based configuration optimisation. AIOps skillfully automates IT operations processes, including event correlation, anomaly detection and casualty determination using telemetry collected from each network and client device to create baselines that automatically help identify issues, determine root causes, and deliver optimization guidance in real-time.

What is driving AIOps?

AIOps is the evolution of IT operational analytics (ITOA). It grows out of several trends and needs affecting ITOps, including:

IT environments exceeding human scale

Current environments, that are dynamic and elastic in nature, reject traditional approaches to managing IT complexity – offline, manual efforts that require human intervention. 

The data that ITOps needs to retain is exponentially increasing

It is becoming too complex for manual reporting and analysis, as performance monitoring is generating larger numbers of events and alerts. Service ticket volumes experience step-function increases with the introduction of IoT devices, APIs, mobile applications and digital or machine users.

AIOps platform should bring the following capabilities to the enterprise:

Recognise significant issues faster and with greater accuracy 

AIOps can address scenarios differently than IT professionals. Where IT professionals may address a known malware event on a non-critical system, but ignore an unusual download or process starting on a critical server because they are not watching for this threat. AIOps prioritises the event on the critical system as a possible attack or infection because the behaviour is out of the norm, deprioritising the known malware event by running an antimalware function.  

Automate routine practises 

Routine practices include user requests, as well as non-critical system alerts. AIOps can enable a help desk system to process and fulfil a user request to provision a resource automatically. Whereas, AIOps platforms can evaluate an alert and determine if it requires action, as the relevant metrics and supporting data available are within normal parameters. 

Streamline the interactions between data centre groups and teams 

AIOps provides each functional IT group with relevant data and experience. AIOps can learn what analysis and monitoring data to show groups or teams from the large pool of resource metrics. 

New Roles

Although ITOps management exceeds human scale, it does not mean that the machines are replacing humans, it just means that we need big data, AI/ML, and automation to deal with the new reality. Humans will not be replaced, but ITOps personnel will need to develop new skills and new roles will emerge. 

About NetWireless

NetWireless has successfully been performing wireless site surveys for over 13 years and has experience in the deployment of wireless networks in aged-care facilities, manufacturing warehouses, hospitals, schools, shopping centres and other public venues. Speak to our dedicated team of network consultants today (CALL 1300 324 844) to ensure your network infrastructure needs are met.