Machine Learning driven Database Optimization with Luigi Nardi from DBtune

In this week's episode of Simplyblock's Cloud Commute podcast, host Chris Engelbert interviews Luigi Nardi, founder and CEO of DBtune. Luigi provides insights into the complexities of database optimization and the significant role of machine learning in improving system efficiency.

In this episode of Cloud Commute, Chris and Luigi discuss:

• Introduction to DBtune: Machine learning for database optimization
• Postgres tuning: Automating configuration for performance and sustainability
• Security and privacy concerns in database optimization and how DBtune addresses them
• Future trends in databases: Vector databases, machine learning, and database-as-a-service (DBaaS)

Interested to learn more about the cloud infrastructure stack like storage, security, and Kubernetes? Head to our website (www.simplyblock.io/cloud-commute-podcast) for more episodes, and follow us on LinkedIn (www.linkedin.com/company/simplyblock-io). You can also check out the detailed show notes on Youtube (www.youtube.com/watch?v=lkquofjg9zo).

You can find Luigi Nardi on X @luiginardi and Linkedin: /nardiluigi.

About simplyblock:

Simplyblock is an intelligent database storage orchestrator for IO-intensive workloads in Kubernetes, including databases and analytics solutions. It uses smart NVMe caching to speed up read I/O latency and queries. A single system connects local NVMe disks, GP3 volumes, and S3 making it easier to handle storage capacity and performance. With the benefits of thin provisioning, storage tiering, and volume pooling, your database workloads get better performance at lower cost without changes to existing AWS infrastructure.

👉 Get started with simplyblock: https://www.simplyblock.io/buy-now

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