Serverless Icebreaker not only assists you in identifying potential performance issues early in the development cycle but also enables common understanding in teams about AWS Lambda's performance characteristics.
Hello to all engineers of the Product Hunt family! 👋
I'm thrilled to introduce our amazing team @attila_zsolt_danku, @zolle and @bence_bajorics1 at Apex Lab, and our latest creation: the Serverless Icebreaker! 🧊 An open-source dev tool, that couple of weeks ago was just a Slack message.
Serverless Icebreaker is a developer tool aiming to prevent lengthy loading times, thus, poor user experience by highlighting AWS Lambda's cold start duration.
For us engineers, who work a lot with serverless technologies, AWS Lambda is a crucial component of our tech stack, as it offers significant scalability and cost-efficiency benefits. However, one of the challenges we've often faced is this "cold start duration" issue, so like any maker, we decided to build a solution that helps not only our team but any engineer teams working with serverless technologies.
How does the tool work? It is a node module, specifically engineered to indicate AWS Lambda's cold start duration. You can integrate it seamlessly in seconds into your development pipeline. Then, after you build your Lambda functions, Serverless Icebreaker examines their sizes, providing insights into how you can optimize them to reduce cold start times. The tool performs an in-depth analysis, detecting unoptimized imports and providing detailed error and warning reports, allowing you to address these issues before deployment.
What’s next? We can’t wait to hear your feedbacks and experience with the product, so we can iterate on it accordingly. You can contact us here as well as on our Q&A platform: https://github.com/theapexlab/se.... You can also report issues: https://github.com/theapexlab/se... or feature request: https://github.com/theapexlab/se... through our GitHub page. 💬 💛 Thank you for your support!
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I've tried this on my SST project - luckily all my lambdas were ideal size, but for the future I've added it to the pipeline - wondering if it will catch something :)
I have found Serverless Icebreaker on GitHub, has been a game-changer for managing the performance of our backend server with over 50 lambdas. This tool helped us identify and deal with cold starts. This not only made our server work better, but it also saved us money. Was easy to use and is well-supported on GitHub, making it a must-have for anyone managing a serverless architecture. 🙏
@kristof_gabor we are so happy to hear your experiences with Serverless Icebreaker! If you have any cool improvement ideas, we're all ears!
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Kudos to the team for creating such a valuable open-source dev tool! Your dedication to improving the serverless development experience is greatly appreciated. I'm looking forward to seeing how Serverless Icebreaker continues to evolve. Keep up the fantastic work! 💪🚀
@putoczky Thank you Akos for the kind words. Please, do let us know if you have any improvement ideas :)
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As a developer, I highly recommend the Serverless Icebreaker utility. It's a very practical tool that addresses the challenge of cold start duration in AWS lambdas. It can be used effectively to reduce latency and enhance performance useful to identify early the problems with the lambda size analysis, lib usage identification, and threshold errors, it alse provides actionable insights for optimization. Integration into projects is straightforward, and the tool offers valuable metrics. It's a valuable asset for optimizing AWS Lambdas and delivering improved user experiences.
@norbert_ruff So nice to hear first-hand experiences from developers using our product. It's really amazing. We are happy that you found it useful, however any improvement ideas are more then welcome!
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Congratulations on the launch of Serverless Icebreaker! It's great to hear that it helps identify potential performance issues early on and promotes a common understanding of AWS Lambda's performance characteristics within teams.
Curious, could you please provide more details about how Serverless Icebreaker detects and alerts developers about potential performance issues?
@carmil_bermillo Thank you for the appreciation and your questions.
Basically, after engineers build their Lambda functions, Serverless Icebreaker examines the sizes, providing insights into how they can optimize them to reduce cold start times. The tool performs an in-depth analysis, detecting unoptimized imports and providing detailed error and warning reports, so they can be addressed beforehand. It's a node module, designed to integrate seamlessly into development pipelines.
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@reka_oswald That's awesome! Thank you for your answer! 😊
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