Resources / Analyst Report
Avesha named a Sample Vendor for Autonomous Workload Optimization & Augmented FinOps
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Autonomous Workload Optimization and Augmented FinOps are now climbing the Peak of Inflated Expectations on the 2025 Hype Cycle.
OUR TAKEAWAYS FROM THE GARTNER REPORT
Autonomous Workload Optimization
Right‑sizes compute, network & storage in real time
Balances performance objectives with budget and energy goals
AI‑driven tuning keeps latency low even during traffic spikes
Augmented FinOps
Transforms cost data into actionable unit‑economics
Predicts spend before it happens and prevents budget overruns
Automates remediation to continuously align cost and performance
Impact for Midsize Enterprises
Slash cloud costs up to 40 % while improving SLAs=
Free engineers from constant fire‑fighting
Accelerate innovation by reallocating savings to new initiatives
Autonomous Workload Optimization lands in the “High Benefit / 0‑2 Years” quadrant, signalling an immediate, transformational ROI. Augmented FinOps sits in “High Benefit / 2‑5 Years,” highlighting its strategic value for proactive cloud‑spend governance as adoption accelerates
In addition to this research report on augmenting platform engineering with AI,
Avesha has also been recognized as a Sample Vendor in the following Gartner® Hype Cycle™ Reports
Hype Cycle for Platform Engineering, 2025
Hype Cycle for I&O Automation, 2025
Hype Cycle for Midsize Enterprises, 2025
Hype Cycle for Container Technology, 2025
Hype Cycle for Site Reliability Engineering, 2025
Hype Cycle for AI in IT Operations, 2025
Mentioned in "Reference Architecture Brief: AI Infrastructure With Kubernetes"
*This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Avesha.
Gartner, Hype Cycle for Midsize Enterprises, 2025, By Mike Cisek, Hemantika Malik, Albert Gauthier, 30 June 2025
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