The company faced significant CPU spikes and system crashes while migrating from Alibaba Cloud DataWorks to a self-built big data platform with DolphinScheduler. Initially, they used 4 ECS servers and scheduled tasks at frequent intervals. The core issue was traced back to improper scheduler configuration rather than the volume of tasks. By adjusting thread counts and CPU usage limits, the team resolved the load issues, emphasizing the need for careful balance in task demands and machine load during platform transitions.
The CPU spike issue during migration was resolved by adjusting DolphinScheduler's thread settings rather than an overload of tasks.
In migrating to a self-built platform, it's crucial to balance machine load and configure thread settings properly to avoid performance spikes.
The company transitioned to DolphinScheduler for task management, but faced CPU spikes due to initial configuration errors.
Proper configuration of threads and CPU limits was key to ensuring smooth execution after encountering severe CPU load issues.
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