The concept of a Snowflake Storage Lifecycle Policy is well-established within the realm of cloud computing. This process has long been utilized by major cloud storage providers. Essentially, it involves a set of procedures and policies designed to manage data archival and retention. When data reaches a predefined archival threshold, it is transferred to more cost-effective storage within Snowflake. Eventually, the data expires and is moved to Snowflake's purging cycle, ensuring efficient and economical storage management.
After switching to Karpenter with about 70% spot instance usage, our monthly compute costs dropped by 70%. That's a significant reduction that freed up substantial budget for new features and infrastructure improvements. Burninova's implementation involved replacing the traditional Kubernetes Cluster Autoscaler with Karpenter, and also moving to multi-architecture setup with both AMD64 and ARM64 instances.
