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Beyond diagnostics, AIOps can trigger actions. While fully automated carbon offset purchasing remains an aspiration, current platforms provide sophisticated emissions tracking that facilitates strategic offset decisions.
Implementing AIOps tools
Choose AIOps platforms with built-in carbon tracking, intelligent workload optimisation, and automated offset capabilities to streamline energy efficiency efforts.
Microsoft ' s Azure Emissions Impact Dashboard and Google Cloud ' s Carbon Footprint tool represent early steps in this evolution, offering detailed emissions data that companies can use to guide their offset strategies. Microsoft ' s pledge to be carbon negative by 2030 exemplifies how companies can use these insights to drive comprehensive sustainability strategies.
AIOps tools analyse software for energy inefficiencies, flagging resource-heavy code that consumes excessive computing power. These systems can detect poorly optimised algorithms, redundant loops, or inefficient database queries, helping developers refine their applications for sustainability. For example, Microsoft CodeCarbon analyses code for energy-draining patterns and provides developers with actionable feedback.
Setting clear sustainability goals
Define quantifiable emissions reduction targets that align with overall IT strategy and environmental policies.
Monitoring and adapting
Continuously analyse AIOps insights to refine policies, optimise energy use, and integrate sustainability best practices across IT operations.
Ensuring transparency and compliance
Regularly publish detailed sustainability reports, ensure compliance with global environmental regulations, and communicate progress to stakeholders.
By integrating tools like this into the DevOps pipeline, companies can ensure that sustainability becomes a core consideration in every stage of software development.
For AIOps to legitimise the technology industry’ s climate efforts, companies should adopt radical transparency. This starts with disclosing the energy use of AIOps platforms themselves, after all, if the tool meant to reduce emissions consumes excessive energy, it becomes part of the problem. Providers should publish third-party audits to verify their systems’ efficiency and environmental impact.
Additionally, demystifying algorithms is critical; black box tools erode trust, so adopting open-source frameworks or explainable AI, XAI principles ensures stakeholders understand how decisions, like carbon offset purchases, are made.
The path forward is clear: organisations should move beyond treating environmental impact as a marketing exercise and embed sustainability into their operational DNA. AIOps provides the framework for this transformation, but ultimately, it ' s up to technology leaders to prove they ' re serious about bridging the gap between green promises and genuine progress. p
According to International Energy Agency, data centres, AI, crypto, collectively consumed 460 Terawatt-Hours of electricity in 2022, 2 % of global demand.
While automation is powerful, human oversight remains essential. Teams should review AIOps recommendations to ensure they align with both environmental goals and operational realities, striking a balance between efficiency and ethics. Without these steps, AIOps risks becoming another layer of opacity in the fight for sustainability.
How organisations can incorporate AIOps into IT sustainability practices:
Assessing current IT carbon footprint
Conduct a comprehensive sustainability audit to identify high-energy consumption areas and set benchmarks for improvement.
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