Kiran Mantha KiranMantha

Original Articles:

What is SSL Termination? | F5

SSL termination refers to the process of decrypting encrypted traffic before passing it along to a web server.

Approximately 90% of web pages are now encrypted with the SSL (Secure Sockets Layer) protocol and its modern, more secure replacement TLS (Transport Layer Security). This is a positive development in terms of security because it prevents attackers from stealing or tampering with data exchanged between a web browser and a web or application server. But, decrypting all that encrypted traffic takes a lot of computational power—and the more encrypted pages your server needs to decrypt, the larger the burden.

// index.js
const getArgs = () =>
  process.argv.reduce((args, arg) => {
    // long arg
    if (arg.slice(0, 2) === "--") {
      const longArg = arg.split("=");
      const longArgFlag = longArg[0].slice(2);
      const longArgValue = longArg.length > 1 ? longArg[1] : true;
 args[longArgFlag] = longArgValue;

Original article: https://www.smashingmagazine.com/2018/06/nodejs-tools-techniques-performance-servers/

Keeping Node.js Fast: Tools, Techniques, And Tips For Making High-Performance Node.js Servers — Smashing Magazine

18 min read
Performance, Tools, Techniques, Node.js, Backend

When it comes to performance, what works in the browser doesn’t necessarily suit Node.js. So, how do we make sure a Node.js implementation is fast and fit for purpose? Node is a very versatile platform, but one of the predominant applications is creating networked processes. In this article David Mark Clements is going to focus on profiling the most common of these: HTTP web servers.

If you’ve been building anything with Node.js for long enough, then you’ve

Original Article: https://philcalcado.com/2019/07/12/some_thoughts_graphql_bff.html

Some thoughts on GraphQL vs. BFF

The Back-end for Front-end (BFF) Pattern was originated at SoundCloud. It takes its name from the internal framework we built to make application-specific APIs easier to write and maintain. Since then, it has taken a life of its own, with various articles, books, and open source software that teach, discuss, or implement it.

More recently, another approach to API architecture and design comes in the form of GraphQL. Facebook first developed the technology, and it has quickly become so popular that many startups were created exclusively to build frameworks and tooling around it.

Over the past year or so, I have been asked many times about the relationship between these two. This article is a write-up of my thoughts on the matter.

What is a BFF, even?

1. Relational Databases (RDBMS)

Characteristics:

Structure: Data is organized in tables (rows and columns).
Schema: Requires a predefined schema.
Integrity: Enforces data integrity through constraints and keys (primary, foreign).
SQL: Uses Structured Query Language (SQL) for data manipulation and querying.

Advantages:

NoSQL Databases Overview

Document-Oriented Databases

1. MongoDB

Overview: MongoDB is a popular open-source, document-oriented database designed for scalability and flexibility.
Data Storage: Uses JSON-like documents (BSON format) which can have nested fields, arrays, and various data types.
Schema Flexibility: Schema-less design allows dynamic and evolving data structures.

Docker

To create docker image from Dockerfile, run docker build . -t <your-image-name>
to run the created docker image, run docker run -d --publish <localhost-port>:<container-port> <your-image-name>
To view the created image in the images list, run docker image list. this should list the created image
Once completed, to verify the contents of the image, run docker run -ti <your-image-name> bash
To verify the contents of the container, run docker exec -it <your-container-name> bash
To delete a docker image, run docker image rm <space-seperated-image-names> -f
To create images from a yml file, run docker compose build. This will by default pick docker-compose.yml and Dockerfile files. To build image through a different config file then run docker compose -f <custom-config-yml> build.
To run containers through docker-compose.yaml file, run docker compose up. For a different yaml file, run docker compose -f up

Reference link: https://www.youtube.com/watch?v=zs3tyVgiBQQ

Commands

Build Docker Image

docker build -t test .

Run container /w image

docker run -d --publish 8888:5000 test

Kafka Distributed Streaming Platform

Publish and Subscribe / Process / Store

Start Kafka

Kafka uses ZooKeeper as a distributed backend.

	## ===========================================================> The common stage
	FROM node:16.14 AS base
	ENV NODE_ENV=production

	WORKDIR /app

	COPY package*.json ./
	RUN npm ci --only=production

	## Remove unnecessary files from `node_modules` directory