Pod Data Retention Migration for Tiered Distributed Storage
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Solution Overview
Problem
Existing systems face challenges in efficiently managing data access limitations due to the use of higher performance storage drives, which are constrained by the need to store data from decommissioned pods, leading to resource bottlenecks.
Innovation Solution
A system that dynamically migrates data from decommissioned pods to lower performance retention drives while implementing data protection schemes, such as erasure coding, to free up higher performance storage for active pods, using an orchestrator to manage the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If higher performance storage drives are used to store data from decommissioned pods, then data access continuity is maintained, but storage resource availability for active pods is reduced
Solution Approach 1:
The storage system is segmented into two distinct tiers: high-performance storage drives for active pod data requiring fast access, and retention drives for decommissioned pod data requiring long-term preservation. This segmentation allows each storage type to be optimized for its specific purpose, resolving the contradiction between maintaining data access continuity and preserving storage resource availability.
Solution Approach 2:
The system transitions from a single-dimension storage approach to a two-dimensional storage architecture by introducing retention drives as a separate dimension. This dimensional change enables the system to simultaneously satisfy both requirements: high-performance drives maintain data access continuity while retention drives provide additional capacity without competing for the same resources.
2Speed
If higher performance storage drives are allocated for active pods, then data access speed is improved, but storage capacity is reduced
Solution Approach 1:
Storage resources are segmented into performance-optimized drives for active pods and capacity-optimized retention drives for decommissioned pods. This segmentation enables the system to maximize data access speed for active workloads while simultaneously expanding total storage capacity through the addition of retention drives.
Solution Approach 2:
Different storage locations are assigned different quality characteristics: high-performance drives provide fast access for active pod data, while retention drives provide adequate but slower access for decommissioned pod data. This local quality differentiation ensures that speed-critical operations receive optimized performance while capacity-critical operations utilize available resources.
3Reliability
If data from decommissioned pods is retained in high-performance storage, then data protection is maintained, but resource consumption increases
Solution Approach 1:
The system segments data protection responsibilities by storage tier: high-performance storage provides intensive protection and fast access for active pods, while retention drives provide baseline protection for decommissioned pods. This segmentation reduces overall resource consumption by applying appropriate protection levels only where needed.
Solution Approach 2:
Retention drives serve as a cost-effective, lower-performance alternative for storing decommissioned pod data where full high-performance protection is unnecessary. This approach uses simpler, more economical storage resources for data that no longer requires intensive access or protection, thereby reducing overall resource consumption while maintaining adequate data protection.
Data Source
AI summary
Methods and systems for managing data of pods are disclosed. To manage the data of pods, volumes in which the data used by the pods is stored may be migrated over time based on the likelihood of the data being used in the future. During decommissioning of pods, data from the volumes may be automatically migrated to different locations. Additionally, different data protection schemes for the data may be implemented once stored at the different locations. The data protection schemes may include, for example, replication and erasure coding.