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Scalability Tactics. complete with code snippets | by Jon Christie | Jan, 2023 – Medium

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Posted on mongodb google news. Visit mongodb google news

complete with code snippets

  • Microservices Architecture: An example of using microservices in a Node.js application would be to separate user management and product management into different services. Each service can be developed, deployed, and scaled independently.
// User Microservice 
const express = require('express');
const app = express();
const port = process.env.PORT || 3000;

app.get('/users', (req, res) => {
// code to handle user management
});

app.listen(port, () => {
console.log(`User Microservice running on ${port}`);
});

// Product Microservice
const express = require('express');
const app = express();
const port = process.env.PORT || 3001;

app.get('/products', (req, res) => {
// code to handle product management
});

app.listen(port, () => {
console.log(`Product Microservice running on ${port}`);
});

  • Load Balancer: An example of using a load balancer in a Node.js application would be to use a package like ‘express-http-proxy’, which allows you to proxy requests to different servers based on the route.
const proxy = require('express-http-proxy');
const app = express();

app.use('/users', proxy('http://user-microservice:3000'));
app.use('/products', proxy('http://product-microservice:3001'));

app.listen(3000, () => {
console.log('Load balancer running on 3000');
});

  • Horizontal Scaling: An example of using MongoDB for horizontal scaling would be to use sharding to distribute data across multiple servers.
// Connect to MongoDB Cluster
const MongoClient = require('mongodb').MongoClient;
const uri = "mongodb+srv://:@cluster.mongodb.net/test?retryWrites=true&w=majority";
const client = new MongoClient(uri, { useNewUrlParser: true });
client.connect(err => {
const collection = client.db("test").collection("devices");
// Perform actions on the collection object
client.close();
});
  • Cloud-based Infrastructure: An example of using AWS for scaling would be to use Amazon Elastic Compute Cloud (EC2) for deploying and scaling the application.
// AWS SDK for Node.js
const AWS = require('aws-sdk');

// Set the region
AWS.config.update({region: 'REGION'});

// Create EC2 service object
var ec2 = new AWS.EC2({apiVersion: '2016-11-15'});

var params = {
DryRun: false,
InstanceCount: 2, // Number of instances
InstanceType: 't2.micro', // Instance type
LaunchTemplate: {
LaunchTemplateId: 'lt-01234567890abcdef0', // ID of the launch template
Version: '1'
},
TagSpecifications: [
{
ResourceType: 'instance',
Tags: [
{
Key: 'Name',
Value: 'MyInstance
}]
};

// Create the instances
ec2.runInstances(params, function(err, data) {
if (err) {
console.log("Error", err);
} else {
console.log("Success", data);
}
});

  • Caching: An example of using caching in a Node.js application would be to use a package like ‘memcached’ to cache frequently-used data.
const memcached = require('memcached');
const client = new memcached('localhost:11211');

// Set data in cache
client.set('key', 'value', 3600, function(err) {});

// Get data from cache
client.get('key', function(err, data) {
console.log(data);
});

  • Monitoring and logging: An example of using monitoring and logging in a Node.js application would be to use a package like ‘winston’ for logging and ‘prom-client’ for monitoring.
const winston = require('winston');
const promClient = require('prom-client');

// Logging
const logger = winston.createLogger({
level: 'info',
format: winston.format.json(),
transports: [
new winston.transports.File({ filename: 'error.log', level: 'error' }),
new winston.transports.File({ filename: 'combined.log' }),
new winston.transports.Console({
format: winston.format.simple()
})
]
});
logger.info('Hello log');

// Monitoring
const httpRequestDurationMicroseconds = new promClient.Histogram({
name: 'http_request_duration_ms',
help: 'Duration of HTTP requests in ms',
labelNames: ['route'],
// buckets for response time from 0.1ms to 500ms
buckets: [0.10, 5, 15, 50, 100, 200, 300, 400, 500]
});

app.use((req, res, next) => {
const end = httpRequestDurationMicroseconds.startTimer();
res.on('finish', () => {
end({ route: req.url });
});
next();
});

  • Continuously test and measure: To continuously test and measure the app performance, you can use tools like Apache JMeter, Gatling or Loader.io. These tools allow you to simulate a high number of users and measure the app’s performance under load.
// Using Apache JMeter
- Install and run Apache JMeter on your machine
- Create a test plan and add the necessary elements (Thread Group, HTTP Request, etc)
- Configure the test plan to simulate the desired number of users and requests
- Run the test plan and analyze the results

Article originally posted on mongodb google news. Visit mongodb google news

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