Videos and resources
Videos and resources to help you better understand your data infrastructure and how to optimize compute for costs and performance
Declarative computing: Look out for this paradigm shift in 2025
Learn more about declarative computing and see real-world examples of companies enjoying substantial cost savings by implementing declarative computing principles.
Declarative computing: The future of cloud infrastructure optimization
Read how Sync is revolutionizing cloud resource management by addressing the resource allocation problem with AI-powered compute optimization.
Read the full article on VM Blog
Gradient by Sync on Unapologetically Technical podcast
Big data and AI expert Jesse Anderson, chats with Sync co-founder and CEO, Jeff Chou, about entrepreneurship, distributed systems, and solving complex problems.
Jeff Chou of Sync Computing on My Career in Data podcast
Jeff Chou, Co-founder and CEO of Sync, chats about aligning data management with business objectives and the growing significance of data quality in AI initiatives.
Best practices to manage Databricks clusters at scale
Tried and try best practices and common pitfalls of managing Databricks Jobs clusters, SQL warehouses, all purpose compute clusters, and ML workloads.
How we built Gradient to optimize Databricks compute
Learn all about how we built Gradient, our AI-powered optimization service that is focused on optimizing Apache Spark cloud clusters at scale.
Better/faster/cheaper cloud: Sync Computing
The trifecta of better/faster/cheaper can be a reality when it comes to your data pipelines. Learn how in this Costanoa bl0g post
Read the full Costanoa Blog Post
I’d be surprised if there was any data team on the planet that wouldn’t save money and time from using Gradient.
Jesse Lancaster, CTO, Forma.ai
“Gradient is an excellent tool that delivers real results that you can see in your monthly [data infrastructure] bill.”
Deniz Parmaksız, Sr. Data Engineer, Insider
“With automated optimization and scalable solutions, Gradient guarantees seamless pipeline operation.”
Blaine Elliot, Data Engineer, Abnormal
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