Hello, everyone! 👋
I’m currently managing a project with significant data storage requirements on Google Cloud, and I’m exploring ways to optimize costs without compromising performance or data availability. I’ve considered strategies like lifecycle policies, coldline storage for archival data, and using tools to monitor unused resources.
Here are my questions for the community:
What are your go-to methods for managing and reducing storage costs effectively?
Have you used any specific Google Cloud tools (like Cloud Monitoring or Recommender) to analyze storage usage patterns?
How do you balance storage cost savings with maintaining access speed for frequently accessed data?
Looking forward to hearing your tips, insights, and experiences! Thanks in advance for sharing your expertise. 🙌
Hi @smit890,
Managing storage costs on Google Cloud depends on your ongoing strategy, but there are effective strategies to optimize without sacrificing performance. Start with a thorough analysis of your current storage usage.
Here are some methods for managing and reducing storage costs effectively on Google Cloud Storage:
You might want to check Cloud Storage Autoclass to automatically transition objects in their bucket to appropriate storage classes based on each object's access pattern.
I hope the above information is helpful.