App modernization is crucial in the AI era, transitioning enterprises from legacy systems to cloud-native architectures that emphasize platforms like Postgres. This shift enables extensibility, cost-effectiveness, and innovation. Industry experts from AMD, EnterpriseDB, Supermicro, and Lightbits Labs discussed this transformation on theCUBE, highlighting the need for open standards. Simon Lightstone emphasized the importance of integrating tools for efficient production. High-performance block storage is essential for low-latency Postgres workloads, as demonstrated by Lightbits Labs’ high transaction throughput using a software-defined approach. This efficiency leads to significant savings in energy and data center space. Kubernetes enhances scalability for AI inference and transaction processing, allowing enterprises to modernize applications effectively. Experts note that AI demands optimized hardware for real-time applications. Overall, the integration of Postgres and Kubernetes facilitates a robust infrastructure for businesses to thrive in a fast-evolving tech landscape. Embracing these technologies is key to achieving operational excellence.
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