When first created, frameworks didn’t have to consider startup time because they run on application servers, which run for long periods of time. Using SnapStartĪpplication frameworks such as Spring give developers an enormous productivity gain by reducing the amount of boilerplate code they write to accomplish common tasks. To learn more about this process and the function states, read the documentation. Wait until the function reaches the Active state, and then invoke it again. Lambda sends a SnapStartNotReadyException and begins initializing a new snapshot in the background, during which the function version remains in Pending state. When you try to invoke a function version that is inactive, the invocation fails. This results in a lower startup latency.Ī function version activated with SnapStart transitions to an inactive state if it remains idle for 14 days, after which Lambda deletes the snapshot. When the function is first invoked and then scaled, Lambda resumes the execution environment from the persisted snapshot instead of initializing from scratch. It takes an encrypted snapshot of the initialized execution environment, and persists the snapshot in a tiered cache for low latency access. With SnapStart, when a customer publishes a function version, the Lambda service initializes the function’s code. SnapStart addresses this concern directly for Java-based Lambda functions. Although these workarounds help reduce the startup latency, users must spend time on some heavy lifting instead of focusing on delivering business value. To address this challenge, customers either provision resources ahead of time, or spend effort building relatively complex performance optimizations. For interactive workloads that are sensitive to start-up latencies, this can cause suboptimal end user experience. This includes loading the function’s code and initializing dependencies. Today, for Lambda’s function invocations, the largest contributor to startup latency is the time spent initializing a function. This feature enables customers to achieve up to 10x faster function startup performance for Java functions, at no additional cost, and typically with minimal or no code changes. Written by Mark Sailes, Senior Serverless Solutions Architect, AWS.Īt AWS re:Invent 2022, AWS announced SnapStart for AWS Lambda functions running on Java Corretto 11.
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