How does Google App Engine handle traffic spikes in applications?
- By automatically scaling up or down the number of instances based on traffic patterns and configured scaling settings.
- By placing limits on the number of requests each instance can handle, preventing overload during spikes.
- By deploying additional instances manually in response to increased traffic, using tools provided by Google Cloud Platform.
- By caching frequently accessed data and serving it directly from memory, reducing the load on application instances.
Understanding how Google App Engine handles traffic spikes is crucial for designing scalable and resilient applications on the platform. By leveraging automatic scaling capabilities, developers can ensure that their applications remain responsive and available under varying workload conditions.
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