What cloud cost optimization strategies have you found most effective in your organization? Are there specific techniques or best practices that have helped you reduce expenses without sacrificing the resources your teams need?
Reserved instances, ensuring workloads are automated to scale up/down based on usage, shutting down and starting up non production services/environments to only hours when used are a few things we have found effective.
For fellow Azure Databricks customers, how have you solved for backup and recovery in the most cost-efficient way? Have you had any lessons learned from the approach you chose?
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Reserved instances, ensuring workloads are automated to scale up/down based on usage, shutting down and starting up non production services/environments to only hours when used are a few things we have found effective.