InfrOS announced the launch of Evolving Architecture, a new capability that helps organizations continuously adapt their cloud infrastructure as AI transforms workload demands.
Evolving Architecture can be installed on existing workloads or included with newly deployed environments. It continuously detects infrastructure drift or the gradual changes that can cause a workload to no longer meet its performance, security, or cost requirements. It also identifies new cloud-provider capabilities that could help organizations better meet those requirements and improve workload outcomes. Every recommended fix or upgrade is emulated before deployment, benchmarked, and validated. InfrOS then presents the real-world trade-offs of each recommended change, including the expected effort, risk and potential benefits across performance, security, cost, reliability, scalability, maintainability and deployment complexity.
“Companies are making $100 billion plus bets on infrastructure, especially as they build for AI,” stated Naor Porat, co-founder and CEO of InfrOS. “However, cloud and AI infrastructure are not one-time investments. As workloads, business requirements and technologies evolve rapidly in the age of AI, infrastructure must evolve with them. We created Evolving Architecture to close the gap between what was planned and what the business actually needs today, in real time. InfrOS replicates and tests infrastructure changes before companies invest significant engineering resources or capital in putting them into production.”
InfrOS’ new Evolving Architecture capability supports workloads deployed across AWS, Google Cloud, Microsoft’s Azure, and OCI as well as other multi-cloud and hybrid environments.
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