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Navigating AIOps: Key To The Emergence Of The Automated Data Centre

Nastel Technologies®
April 24, 2019
Navigating AIOps: Key To The Emergence Of The Automated Data Centre

AIOps (artificial intelligence for IT operations), is a relatively new industry term that is increasingly being associated with a new breed of IT management vendors.  However, nearly all AIOps companies did not start with fully-fledged AI capability from the outset – they have all evolved from network monitoring, application monitoring, service desk or infrastructure monitoring.

Exploding the myths

To understand how AIOps came about and its true value within the context of the IT environment, misconceptions and distinctions must first be brought into the open. AI has suffered somewhat from being dressed up in marketing hype. Much as in the case with the cloud, AI and ML (machine learning) technologies were heavily promoted in 2018 as the next ‘holy grail’ for IT, but organisations quickly came to the realisation that AI is not an overnight ‘solution’, developed to replace existing systems.  In reality, the machine learning that informs AI behaviour, (essentially examining and comparing metrics and log data, looking for common patterns), is key to unlocking the benefits of AI.

In order for ML to successfully take place, enormous amounts of data sets must be processed, which takes a significant amount of time (years of data collection, simulations and scenario gathering), to allow for actual learning to occur. This is precisely why potential customers should properly verify vendors claiming this sudden capability within their marketing edict.

The automated data centre future

For those vendors where the claims of this capability are based on actual machine learning over the time it takes to produce real results, the prospects for the industry are compelling. One of the best examples of AI delivering value in the world today is within the data centre through AIOps. Digital transformation is the dream, but reality consists of new systems typically layered on top of legacy architecture, resulting in increased complexity within the hybrid IT infrastructure environment so many organisations grapple with today. In leveraging new technologies in the effort to upgrade and transform organisational operations and processes, it is becoming clear that AIOps is the most effective way to comprehensively manage and correlate the performance of so many moving and interdependent elements.  AIOps is the foundation that enables the shift towards the realisation of the ‘automated data centre’.

This article originally appeared on  To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering tools for Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT, IBM Cloud Pak for Integration and many more.


The Nastel i2M Platform provides:


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