Let's try to understand with a small example:
someWork() is a function that is going to take roughly around 2 seconds and we want to execute otherWork() function once someWork() is done. This can be achieved using a Callback or Promise.
AWS IoT Core is a highly scalable platform for IoT devices. I automated the creation of Certificates, Things, and Attaching policy using AWS SDK with the below steps.
I created an IAM user with programmatic access and attached the AWSIoTFullAccess policy.
As Software Architect at Code B, Every month I work on a few MVP(Minimum Viable Product) applications using the MEAN/MERN stack and always want them to be ready for sudden traffic.
Below is the most common stack I use for scalable deployment.
The best practice is to not develop this part and use third-party services.
I stick with AWS Cognito or Google Firebase Authentication depending on the client's cloud preferences.
I prefer to go with managed services for databases and MongoDB Atlas is mostly what I use.
Firestore is also a good option if the frontend needs real-time data(Stock Price…
ag-grid is a feature-rich library and I have used it on many projects. I was working on POC for 1 project and we needed to represent tree data inside the table.
tree-data can be easily achieved using enterprise edition, but since it was just a POC I tried to achieve it using community version with custom code.
Let's start with code:
Let's make service using node js to create ‘QR codes’(CPU intensive task) to understand how can we use C++ for optimizations.
Results for generating 10000 Qr Codes:
C++ single thread:2960.125ms
Node js code to generate QR codes:
someTask is a function which returns a promise. When async task is successfully completed, we can call resolve and if there is some error we will use reject.
When we call a function which returns a promise,
Both tasks here are independent, second task doesn't wait for the first to be resolved.
someTask() can do any async task like HTTP call, DB call…
Some time back, I came across a requirement to process a huge excel file in node js.
An obvious choice was to use Transform stream. Development was not as smooth as I was expecting. So I decided to share my experience.
I have taken a small part of the code which will accept excel file from API(Multer Custom Storage-multipart form data), process file using transform stream and pipe processed file to response.
Step 1: In Controller, create excelWriter using xlsx-write-stream package and attach it in the request object. …
I came across a requirement where admin can listen call logs of his employees on website. I had recording names stored in mongoDB.
I narrowed down to 2 choices,
1)Stream audio files using node js api on demand
2)Host all audio files using NGINX and then just send name of audio file in api response.
I thought second approach will be more clean way but I wanted to keep my audio files secure. So I used auth_request module from NGINX for authentication.
I will be using docker compose.We have 2 docker compose file, docker-compose.yml(base file) and docker-compose.dev.yml file.