EDITOR ’ S QUESTION
MARKUS NISPEL , CHIEF TECHNOLOGY OFFICER – EMEA , EXTREME NETWORKS
The ability to provide GenAI LLMs as a service by the big cloud providers allows vendors and all organisations to experiment and launch new GenAI-based services quickly . 2024 will see a tidal wave of GenAI-based solutions going into production at scale and being adopted , so the revenue from this will increase substantially . At the same time , the requirements around data sovereignty , privacy , cost , and latency will continue to drive demand for cloud edge deployments , so this will be another growth vector for the industry and those vendors who have built solutions with that cloud continuum in mind .
BERND GREIFENEDER , CTO , DYNATRACE
In 2024 , the combined pressure of adopting more environmentally sustainable business practices and tackling rising cloud costs will catapult observability from an IT priority to a business requirement .
Organisations ’ increased use of AI will be a key driver of this trend as it boosts cloud resource consumption , resulting in expanded carbon footprints . However , AI-powered observability data analytics can help organisations tackle these challenges and mature their FinOps and sustainability practices by surfacing actionable insights and powering intelligent automation to address hotspots of inefficiency in cloud environments . Increased use of AI-powered observability will enable organisations to automatically orchestrate their systems for optimal resource utilization , reducing emissions and the cost of running their cloud environments . As a result , we will see growing interest in use cases of observability beyond the IT department as the wider business begins to take note .
Increased use of AI-powered observability will enable organisations to automatically orchestrate their systems for optimal resource utilization .
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