Boost DevOps Sustainability with Data Tiering
Sustainability analyst Bonnie Schneider explores the concept of data tiering and its significance in eco-friendly DevOps. Learn how data is organized based on usage to optimize energy use and reduce storage costs. Understand the role of observability tools in efficiently managing data storage and gain insights into practical strategies for automatic data organization.
Transcript
I am Bonnie Schneider with your Ecotech Analyst Insights. Making DevOps more sustainable is a growing priority for the tech industry. One effective strategy is data tiering.
What is data tiering and how does it work? Well, allow me to explain with this analogy. Imagine you have a library filled with books, the ones you like and read regularly.
Well, they're kept nearby just so you can get a hold of them fast. But the books that you never touch never pick up. They're stored down in the basement.
Data tier for developers works in a similar way. Data is organized and stored based on how often it's needed. Frequently used mission critical data known as hop data is placed in fast high performance storage.
This includes real time transactional data, like customer information and financial records. Useless often is coal data that's relegated to cheaper, more energy efficient storage. Examples are historical records, log backups, and data for regulatory compliance.
Keeping coal data in lower cost tiers optimizes energy use, and reduces storage costs. Also, observability tool play a vital role in making data tiering effective and efficient. How?
Well, one way is by determining which data is hot and which data is cold. Through continuously monitoring data usage patterns and trends, businesses can proactively adjust their data tiering strategy. Organizations should invest in solutions that automatically organize data based on usage and demand.
