⚡ Performance Optimization Guide
Techniques to improve the speed, efficiency, and cost-effectiveness of your BCE Lambda functions.
🚀 Jump to Optimization StrategiesUnderstanding Performance in Serverless
Serverless functions execute on-demand, offering elastic scalability but requiring careful optimization. Key performance factors include execution time, memory allocation, and cold starts.
Execution Time
Directly impacts cost and user experience.
Memory Allocation
Higher memory gives more CPU, but increases cost.
Cold Starts
Cold starts delay initial executions of functions.
Top Optimization Strategies
1. Optimize Resource Configuration
Find the optimal combination of memory, CPU, and timeout settings for your function. BCE Lambda allows granular control over these parameters.
{
"MemorySize": 512,
"Timeout": 15,
"Environment": {
"Variables": {
"PERF_OPTIMIZED": "true"
}
}
}
Recommended: Start with 128MB for simple functions and increase by 64MB increments while monitoring performance.
2. Use Provisioned Concurrency
Prevent cold starts by keeping a specified number of function instances always running in the background.
$ bcl update-function my-function --provisioned-concurrency 20
Note: Provisioned concurrency costs increase with the number of instances.
3. Asynchronous Processing
Use event-driven architecture to process tasks in parallel, reducing overall execution time for complex workloads.
Processing Speed
Execution Time
async def process_events(events):
results = await asyncio.gather(
*[handle_event(event) for event in events]
)
return results
Monitoring & Diagnostics
Real-Time Metrics
Performance Best Practices
Minify & Bundle
Reduce deployment package size by minifying code and using bundlers like Webpack or esBuild.
npm install --save-dev webpack esbuild-bundle
Use Caching Layers
Implement caching strategies using BCE Redis or in-memory caches for frequently accessed data.
import bcl.cache
Optimize Dependencies
Regularly audit dependencies using the BCE Dependency Scanner to remove unused or redundant packages.
bcl dependencies scan
Use Layers for Shared Code
Reuse common utility code across functions using BCE Lambda Layers to reduce duplication.
bcl layer create utils