Episode description

Highlights from this week’s conversation include:

• Lars work on Resoto in helping to cut cloud costs for organizations (2:02)
• The trend of large resources to micro resources (5:59)
• What are some of the typical resource drains in data infrastructure (8:56)
• Managing cost on the backend with scale and experimentation (12:51)
• Solutions for resource management problems (17:38)
• How Resoto is solving pain points in resource management (26:17)
• Navigating the complexities of data infrastructure (29:01)
• Resoto’s solution for interpreting difficult cloud data products (36:35)
• Exploring relationships of data points and finding solutions (43:40)
• Querying in graph database (47:46)
• How to go from graph to SQL (49:13)
• How can data teams plan for costs in the coming years (50:53)
• Final thoughts and takeaways (53:49)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.