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!
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. 🙏
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.
We faced this issue during one of our projects and spent at least two retrospectives on how we can fix it in-house, so it is a huge relief that we can use it, and even tailor it to our needs later.
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 :)
Serverless Icebreaker
Serverless Icebreaker
Serverless Icebreaker