Reduced Latency Link to heading
When a code function function is “warm,” it means it’s already running and ready to process requests. Cold starts occur when a new instance of the function needs to be initialized, leading to increased latency for the first request. By keeping code functions warm, you minimize cold starts. Reduced latency translates to a better user experience for your customers, especially in real-time applications or APIs.
Cost Efficiency Link to heading
Cold starts consume additional resources (CPU, memory, and initialization time), which can impact costs.
Warm code functions reuse existing resources, avoiding the overhead of initialization. This efficiency contributes to cost savings, especially at scale.
Scalability and Burst Traffic Link to heading
Warm code functions handle sudden spikes in traffic more effectively. If your application experiences sudden bursts (e.g., due to marketing campaigns or events), warm functions can quickly scale up to meet demand.
Cold starts during high traffic can lead to performance bottlenecks and missed opportunities.
Predictable Performance Link to heading
Warm code functions maintain consistent performance. Customers expect reliable response times, and warm functions deliver just that.
Unpredictable cold starts can frustrate users and harm your product’s reputation.
Resource Reuse Link to heading
Warm code functions reuse connections to databases, caches, and other services. This reduces overhead and improves efficiency.
Cold starts create new connections, impacting resource utilization.