1. What Lambda SnapStart Is
- AWS Lambda functions, especially Java, can have long cold start times because the runtime has to initialize the code and dependencies.
SnapStart solves this by initializing the function ahead of time and taking a snapshot of the initialized execution environment.- When a new invocation occurs, Lambda reuses the snapshot instead of starting from scratch.
In short: cold starts become much faster.
2. How It Works
Deploy your Lambda function with SnapStart enabled.- When you publish a version:
- Lambda runs the function once.
Lambda takes a snapshot of the memory, execution environment, and initialized state.
- On subsequent invocations:
Lambda restores the snapshot.
Skips the normal initialization phase (runtime boot + static initializations).
Without SnapStart: Cold Start → Runtime Init → Code Init → Handler Execute
With SnapStart: Cold Start → Snapshot Restore → Handler Execute
- Result: cold start latency can drop from seconds to milliseconds, especially for Java and other slow-start runtimes.
3. Key Points
| Feature | SnapStart |
|---|---|
| Supported Runtimes | Java (as of now), others may be added |
| Applies To | Lambda function versions (not aliases directly) |
| Use Case | Functions with heavy initialization (DB connections, libraries, frameworks) |
| Cold Start Improvement | 70–95% faster in typical cases |
| Cost Impact | Minimal — you still pay normal Lambda invocation charges |
4. Comparison With Other Optimizations
| Optimization | How It Helps | Notes |
|---|---|---|
| Provisioned Concurrency | Keeps pre-initialized instances warm | Fixed cost even if unused |
| Lambda SnapStart | Creates snapshots for new invocations | Only triggers on version publish, cheaper than provisioned concurrency |
| Both | Can be combined | Maximize performance and minimize cold starts |
5. TL;DR
Lambda SnapStart = pre-initialized snapshot of your Lambda function,
which dramatically reduces cold start time, especially for Java functions.