Software architects have lacked the observability and tooling to understand, track, and manage architectural technical debt, from dependency entanglements to dead code.
This article delves into the intricacies of Data Lakehouse architectures and their transformative potential for addressing data management and analytics challenges.
In this article, we’ll dive into data vault architecture, challenges and best practices for maintaining data quality; and how data observability can help.
Nothing is built to be permanent, even the traditional software you use. You are in big trouble if you're still running the same old software for a long time. This article offers tips on avoiding the potential risks of using end-of-life software.
Get insights into the rise of data lakehouses as the future of data management, offering a scalable, flexible, and cost-effective solution that empowers organizations to harness the full potential of their data in today's fast-paced digital world.
Are you confused about the infrastructure as code landscape? In this article, I help classify the IaC tools and give actionable advice on choosing a tool.
Lightrun's Conditional Snapshot and Logs allow developers to create virtual breakpoints dynamically without impacting performance or sacrificing security.
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