Cluster Control Plane Migration With Staged Canary Rollout
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Solution Overview
Problem
Existing cluster migration processes in containerized environments are risky and prone to downtime due to software upgrades, location changes, or transitions between different cloud providers, as they often involve abrupt changes that can lead to failures and damage.
Innovation Solution
A live migration system that gradually shifts operations and components from a source cluster to a destination cluster, using staged rollouts and canary allocations to mitigate risks, allowing for monitored transitions between clusters on the same or different clouds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a cluster undergoes software upgrades or location changes, then the environment is updated, but downtime and risk of failure increase
Solution Approach 1:
The patent creates a copy of the source cluster before migration, allowing the destination cluster to be prepared in advance. This preliminary action enables the destination cluster to be fully configured and tested before actual workload migration, reducing downtime and risk during the transition.
Solution Approach 2:
The patent introduces a copy cluster as an intermediary between the source and destination clusters. This intermediate cluster serves as a buffer that can receive workloads gradually while the source cluster continues to operate, preventing direct disruption to the production environment.
2Speed
If cluster migration is performed abruptly, then migration speed is fast, but failure risk and damage increase
Solution Approach 1:
The patent implements dynamic workload migration by gradually shifting workloads from the source cluster to the destination cluster in stages. This dynamic approach allows the system to adapt to changing conditions during migration, monitoring for issues and adjusting the migration rate to minimize risk while maintaining progress.
Solution Approach 2:
The patent applies partial action by migrating only a portion of workloads at a time rather than all workloads simultaneously. This staged migration allows for risk containment, where problems can be detected and addressed in smaller increments, reducing the overall impact of potential failures.
3Productivity
If all requests are allocated to the new control plane immediately, then migration is complete, but system stability decreases
Solution Approach 1:
The patent implements periodic action by allocating requests to the new control plane in stages rather than all at once. The system periodically increases the fraction of requests routed to the new control plane, allowing for monitoring and adjustment at each stage to ensure stability while progressing toward complete migration.
Solution Approach 2:
The patent incorporates feedback mechanisms by monitoring the performance and stability of the new control plane as requests are allocated. Based on this feedback, the system can adjust the migration pace, rollback if issues arise, or continue the migration process, ensuring system stability throughout the transition.
Data Source
AI summary
The technology provides for live migration from a first cluster to a second cluster. For instance, when requests to one or more cluster control planes are received, a predetermined fraction of the received requests may be allocated to a control plane of the second cluster, while a remaining fraction of the received requests may be allocated to a control plane of the first cluster. The predetermined fraction of requests are handled using the control plane of the second cluster. While handling the predetermined fraction of requests, it is detected whether there are failures in the second cluster. Based on not detecting failures in the second cluster, the predetermined fraction of requests allocated to the control plane of the second cluster may be increased in predetermined stages until all requests are allocated to the control plane of the second cluster.