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You migrated to the cloud with a solid plan. You sized your instances carefully, chose the right storage tiers, and followed architecture best practices. The first few months looked fine. Then the bill started climbing. SLA breaches crept in during backup windows. Your team started scheduling around performance risk instead of operating with confidence. A year later, you’re paying significantly more than projected — and cloud performance issues are still surfacing in the moments that matter most. 

This is the first in a series of blog posts about what differentiates Silk in the market — and how Silk can help your enterprise transform the way you cloud. 

For CTOs, CIOs, and data architects, the challenge of balancing development velocity with infrastructure costs has never been more critical. As organizations scale their cloud operations and expand their development teams, traditional approaches to data management create bottlenecks that directly impact both technical performance and financial outcomes. The solution isn’t to make small improvements to current processes, but to completely change how development and testing teams get and use data.  

Effective copy data management (CDM) is critical for ensuring organizational data integrity, security, and compliance. With growing data complexities and diverse use cases, establishing a well-structured governance framework is more important than ever. This checklist provides a comprehensive guide to building a strong CDM governance practice, from defining roles and responsibilities to identifying compliance standards and risk mitigation strategies. Let’s dive into the 8 essential steps to streamline your CDM approach and optimize data use while minimizing risks:

As your business grows and your data needs expand, more and more teams become consumers of your data. What was once the domain of ITOps has expanded to CloudOps, data teams, generative AI tools and agents, and various lines of business needing to consume and process data. While you may have teams or individuals charged with data governance and data-quality management, the subset of that responsibility, copy data management (CDM), is often an afterthought.