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Serverless functions have limits. You face cold starts, execution time limits, and statelessness. You must plan for these to run stable workloads.
How to handle serverless limits:
- Use provisioned concurrency to reduce cold starts.
- Use warmers to keep functions active.
- Use async processing for long tasks.
Avoid these common mistakes:
- Over-engineering: Do not build for scale you do not need yet.
- Underestimating complexity: Small systems often hide big problems. Break them into small parts.
- Ignoring technical debt: Track shortcuts and fix them before they slow you down.
Follow these three principles:
- Keep it simple. Simple systems are easier to debug and change.
- Measure before you optimize. Use data to find bottlenecks. Do not guess.
- Invest in your team. Choose tools your team understands and can maintain.
Build a foundation first. Start with a simple version that works. Test for normal use and failure scenarios. Once it works, monitor it in production. Collect metrics on errors and performance.
Your context matters. A startup has different needs than a large company. Adapt your tools to your team size and risk level.
Learn by doing. Pick a small project. Build it, deploy it, and run it. The lessons from a real project are better than reading books.
Action plan:
- This week: Audit your current systems. Find one gap.
- This month: Fix that gap. Measure the results. Tell your team.
- This quarter: Review your progress. Update your methods.