A new era of generative AI tools has accelerated development cycles for enterprises, but alongside this progress comes the challenge of cloud spend inefficiencies. According to Gartner, public cloud spending is on the rise, yet a significant portion of enterprise cloud spend is wasted on duplicated, non-functional, or outdated resources.
Stepping into this space, Adaptive6, led by CEO Aviv Revach, has emerged to tackle cloud waste head-on. The company leverages cybersecurity principles to treat cloud waste as a code vulnerability that requires detection and remediation.
Adaptive6’s Cloud Cost Governance and Optimization (CCGO) platform empowers engineers to identify and resolve cloud waste in real-time, bridging the gap between visibility and action in cloud cost governance. The platform stands out for its ability to uncover ‘Shadow Waste’—hidden inefficiencies in cloud architecture and workloads that traditional tools often miss.
By utilizing a unique ‘Cloud to Code’ technology, Adaptive6 links cloud resources to the specific lines of code responsible for inefficiencies, enabling targeted fixes directly in engineers’ workflows. The platform extends beyond basic resource sizing to analyze complex configurations, including those for emerging AI workloads.
Adaptive6’s focus on proactive cost management is evident in its prevention capabilities, integrating into CI/CD pipelines to identify and rectify cost inefficiencies before deployment. The platform has already garnered adoption by major enterprises like Ticketmaster and Bayer, with reported reductions in cloud spend ranging from 15% to 35%.
As enterprises continue to navigate the complexities of cloud cost optimization, Adaptive6’s AI-driven approach signals a shift towards proactive, engineering-centric solutions in cloud governance.
Source: VentureBeat