Serverless webrtc connections made excessively simple.

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actually intelligent things about serverless

Ever wondered how you actually do gradual canary rollouts with AWS, Azure or GCP's serverless platforms? Look no further.

Your serverless inventory that actually works

LocalStack Serverless API examples that actually work

Actually good serverless

A serverless cloud project that is actually a 🐱

Small Angular SPA for keeping track of miles on an auto lease. Actually serverless.

Resolve AWS variables in Serverless when you don't want to actually make a call to AWS

Production-style serverless blog platform with a lightweight CRM for inbound leads – designed as a recruiter-facing portfolio project and a real tool you can actually use.

A serverless microservice that monitors domain expiration dates and sends email notifications when domains actually expire. Built with AWS CDK and designed to stay within AWS free tier limits.

A tiny JSR330 standard Inversion Of Control container. COIN stands for "New Inversion Of Control". Actually, it started since 2005, there was no IOC standard at that time. Now in micro service, serverless and kubernetes' world, it is still useful for server side service development. That's the reason I make it open source.

Architecture: 1) Amazon EC2 acts as website backend generating server logs. 2) Kinesis Datastreams reads the server logs in real time and pushes it to Kinesis Data Analytics for doing above computation(more than 15 orders per 15 seconds). 3) Second stream in Data Analytics is created that actually notes such floods for past 1 minute and then send only messages to 2nd Data stream if the trend is noted continuously 1 min. This step is purely added to reduce number of SNS messages received in case of spike. 4) Second data stream is used to receive such alarm records and trigger lambda. 5) Lambda triggers SNS notification which in turn delivers an SMS message. It saves the copy of all the error messages in Aurora MySQL for aggregated view in future . Key Takeaways ⚫ Understanding the project and how to use AWS EC2 Instance ⚫ Understanding the basics of Serverless computing, MySQL, and their application ⚫ Doing real-time streaming the data in Amazon Kinesis Data Analytics application ⚫ Installing Amazon Kinesis in EC2 instance ⚫ Usage of Kinesis data streams and doing real-time streaming