To avoid server-side strain and prolonged warming-up times during application startup, it's crucial to stagger the execution of Kafka tasks, limiting concurrent activities.
The staggered approach, controlling a maximum of two tasks per second, effectively balances CPU demands, streamlines the initial connection setup, and enhances overall efficiency.
Implementation of RateLimiter in ExampleApp demonstrates practical application of concurrent task limitation, ensuring that server resources are optimally utilized without overloading during warm-up periods.
Adevinta's technique of staggered task initiation plays a critical role in maintaining performance integrity while managing resource-intensive Kafka consumer workloads.
[
Collection
]
[
|
...
]