Published: 19 August 2024
Developers using cloud-native and generative AI technologies need to self-serve, provision, manage and scale infrastructure on demand. Platform engineering managers can engage the cool vendors in this research to simplify infrastructure-related workflows for software engineering teams.
Optimizing compute costs, performance and sustainability becomes difficult as product teams scale application delivery across multiple environments and multiple clouds.
Inconsistent infrastructure automation practices in cloud environments can create misconfiguration-related security risks and cause cloud costs to spiral out of control.
Developers continue to seek easier methods of self-provisioning and managing development environments and DevOps infrastructure without having to manually code intricate configuration details.
Product teams building generative AI (GenAI) applications need access to scalable infrastructure with graphics processing unit (GPU) acceleration for model training, fine-tuning and inferencing.
Platform engineering managers should:
Make it easier to optimize cost, performance and
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