Aravind Kumar

Understand more about your background by giving a brief introduction about yourself. Okay. So hello. This is Alvin Kumar. I'm a full stack developer, has 4 years of experience. Yeah. I think now my face is looking clear. Yeah. So I'm had a 4 years of full stack, uh, full stack experience, uh, especially the MERN stack. MERN stack means we are handling MongoDB, Express React, and Node. Js. So added with this, I can able to work in, uh, Next. Js and Nest JS. So Nest is an, And this is like an, um, back end framework, uh, just, uh, on Express, but, uh, we have it in, uh, TypeScript. So so like that Next JS. So Next JS also, we are having, uh, having, like, uh, it's an Added framework to the React JS. So because of the server side rendering, um, server side rendering, uh, folks in it. So I can able to have a different kind of, um, different kind of, uh, front end frameworks and back end frameworks different kind of DBs, like PostgreSQL, MongoDB. So these are the, um, so, uh, this are the stack I have been worked on, And I have, uh, experience in, um, like, different kind of application, like in a a application where we can able to fetch almost, uh, fetch almost And they'll be processing OCR processing and get all the, uh, all the chunk of data and converting and can digitalize The data and converting to user friendly, and user can able to view that, unable to, uh, process that application. And another one is, Uh, so I also worked in front end side, uh, front end side. So in front end side, I have created, uh, different, Responsive web designs, uh, with a good looking UI, um, which can also be in cross browser, uh, cross browser friendly, uh, compatibility, actually, so Yeah, this is some introduction about me. Uh

This is in React application architecture to efficiently handle the highest volume of state changes. So highest volume of state changes. Yeah. So, basically, uh, state changes Using Redux, we can use. And another state management tools, uh, we have, uh, in Hooks, we are we can able to do with the custom APIs. And, also, we have a separate, uh, separate hooks, like, Use reduces like that. So with compared to this, uh, I guess, RedX, uh, RedX. So, uh, RedX toolkit. Um, so this, uh, this thing is, uh, RedX is The best tool, state management tool, where we can able to, uh, get all the all the state that has been, uh, that has been, uh, given to the all, uh, reusable components or, uh, like, a combination components. So we can able to access the state in any place. And, also, we can able to, uh, use the state in different, Use the state values in different stage in applications. So that can be effectively improve our, uh, improve our, uh, application performance also. So in architecture level, uh, in architecture level means in React application, That could be, uh, that could be, um, less time of loading. So after that, we can able to, uh, add help with the lazy loading and all. So, Um, we can able to, um, we can able to, uh, use it in different style, uh, state components also. So yeah.

How do you approach error handling in Node GCP to make it robust and developer friendly? So error handling, actually, this is a a quite interesting topic, uh, error handling. So error handling, we can able to, uh, handle this error, um, by General generally, try catch, uh, try catch blocks. And if it is a promises, We can able to use, uh, resolve resolve rejects methods. And, um, also, these these, Uh, asynchronous asynchronous calls, uh, has been maintained in callbacks, promises, uh, async awaits. So like this, we can able to handle this. So error handling, yeah, it's a, uh, good, Uh, good thing. Why? Because means, uh, we can able to, uh, we can able to, Catch different kind of errors. For example, uh, for example, if our, Uh, if our input input a is, uh, giving us a different kind of information, so that could make a side effect in our, uh, DB queries or any third party integration. So that might Go wrong. So it is good to handle this kind of situation with the, uh, error handlers. So this might not break the whole application and, uh, which will not close this, Break this over also, which will help us to, um, which will help us to run the application without any, uh, without any, um, breakages. So, uh, that will yeah. Obviously, that will create a robust, uh, robust and developer or friendly. Um, so not only in Node. Js APS, we can do the error hand error handlings, ah, in back end coding. Also, we can use it in front end also, wherever we are making that ah, async calls, uh, async calls, um, async calls. So based on that, um, based on that, we'll have some status Codes it from the back end server. We can able to, uh, show the the message to the user, uh, to get the server is busy or server is closed or something like that, um, because, uh, that is so mandatory. Uh, if Something is broken, we need to, uh, we need to we can't, uh, show it as an, um, the app is broke or App is, um, like a stale, uh, stale and functional app. Uh, so our app could be maintained different kind of, Uh, different kind of, uh, errors, uh, it need to handle. So that's why yeah. This is, uh, very, Uh, crucial thing. We need to do it here. Yeah. Thank you.

During peak hours, a specific database query is causing slowdowns. How would you identify and optimize the, um, bottleneck. So during peak hours, um, a specific database query um, is causing, uh, causing slowdown? How would you identify and optimize the bottleneck? So specific data, um, database queries, uh, slow down means. What we can do, um, we can able to, um, we can able to like um, so we need to first debug the thing, which uh, which base or which table um, from where it, uh, it is causing the exact issue. And based on that, um, based on that, we need to, um, we can, like, debug it. We can add, uh, log statements to it, and we'll check, uh, which query is, um, which query is, uh, like creating the latency. So based on that, uh, based on that, we will check. Uh, so most of the time, where it will, uh, where it will fail means if um, the if we maintain some complex queries. Otherwise, um, otherwise, if the server connection, uh, the HTTP, uh, so the connection between the, uh, the network connection between the database instance to the pentover server um, is quite an, um, quite unresponsive or might that that connection give a latency. So we will check where the exact problem is um, arising arising around. And, uh, we will handle that case, uh, differently. So if that queries in query side, if it is, uh, if it is failed to give a latency means. So we need to, uh, we need to, uh, reduce, um, like for example, ah, in in SQL queries like, if we have a big queries like um, we will, uh, use the joins and sub queries. We are, uh, looping around, uh, looping around, uh, joining 2 tables. And, and make it as a sorting or ascending ascending or descending things. Um, so, um, we will check, um, which processes go go continue, uh, continuous, um, which process is, um, going continuous. And we'll found that. Uh, we need to found that. And based on that, we can able to, um, uh, able to find whether we can able to, uh, separate the queries or, uh, handle that particular situation. Whether, uh, it is through, um, whether it is throwing and, um, uh, throwing an alarm defined at particular rows that might, uh, restart, uh, restart um, the things and all. So we will need to look into that deeply. And after that, we need to, um, we need to solve it accordingly. Yeah. Thank you.

Given the following JavaScript function, I didn't feel the potential issue considering the same nature of JavaScript. What could be the undetected behavior? So function fetch data and process, like, fetch data, assume fetch data is in as operation process data. Explain how would you rectify this error. Process data. Okay. And this code is that's That's it. Uh, given the following JavaScript function, identify the potential issue, Considering the async nature of asynchronous nature. So what I'm saying is an Unintentional behavior means so, obviously, fetch data function, Which data function, uh, fit inside the function, fetch data and process. So let data call to fetch data. Uh, it's in a synchronous synchronous function, which might give some, uh, give us some data, uh, data from any third party or any API, uh, e d a p. So, obviously, we will, um, so that status of the status should be, not come correctly if we didn't make this as an await. So if we make that await where, obviously, we need to make the function The fetch data and process function should, uh, should be an asynchronous function. Async, we need to, uh, prefix the function with, uh, with the async keyword. And after that, it awaits only. Uh, we will get the data, and we will, uh, we will get the data and put to let data. And let data holds hold some value. And processed data will, um, will, uh, process, uh, process the data, what we'll get from the fresh data. So in QuickChart, uh, fetch data, we need to, Uh, prefixed with the wait and function, we need to prefix with async. So that's it. Thank

Explain the strategy for implementing efficient real time data updates in both. So React JS front end Real time data updates. Yeah. So real time data updates, yeah, we can There is, uh, so many options for real time data. Uh, like, there is a TCP. Uh, TCP connection, we can, uh, we can get succeed with the with circuit or socket or type of both are quite Similar. And, otherwise, we can go with the RPC, gRPC, uh, these kind of, uh, these kind of methods. So, uh, real time, uh, real time data updates means mostly for front end. They will need it, like, in, Uh, for, uh, for example, in stock application, they need an, uh, they need quiet data, uh, which could be streaming in the tunnel. And, yeah, for, uh, mostly, we are using in chat applications. And, uh, and these kind of places, we can use. And, uh, Yeah. Uh, WebSocket, we can use. Uh, Web circuit means, uh, we need to create the socket connection in both, uh, front end and back end go back end codes. Uh, so front end should be the emitters. And, Right? Uh, sorry. Back end should be the emitters. Um, uh, we need to handle handle the events, um, based on the different amount of, uh, statuses. So I was done that we can able to So if single device or multiple device is connected to that socket connection, so we need to, We need to broadcast, um, broadcast that, uh, 2 different kind of, uh, different, uh, different kind of things. Uh, like, and different kind of systems that has been, uh, that has been connected to a broadcast broadcast. Uh, so This is it, and thank you.

Consider the following API creation code. Consider the following API creation code using Node. Js. What would be the security concern in this code snippet, and how could you improve it to other best practices. So best practices, authenticate a user. User is authenticated. It's in session ID for not on user. Discuss what the security risk here and how you mitigate it. Security. Authenticate user. The security concern. So so what I'm thinking is a security connection here. So the password the password we are sending, uh, through the through the request, um, through the request body. So in the request body, we are sending the password. And, uh, so we need to so, obviously, whenever we'll check it, Uh, if any third party is included, like, OAuth or Cognito, we need to connect to that. Otherwise, we can simply, uh, pass this and check with this. And this authenticated session ID Session ID, we can not directly, Uh, send it via session ID. SS, uh, it's like an SSL token, I guess. SSR loss as an ID, which will, uh, just give me a second. I'm having. Um, Yeah. Sure. Yeah. So session ID yeah. This is looking like in, Uh, we can't, uh, have a session, uh, session ID. Username. Username. So means security means we can, Add a multifactor authentication over here. Otherwise, user.sessionid is, like, User transition ID. Yeah. I guess this is fine. Uh, if we Add the MFA multi factor authentication, then we can have it. So other than that is authenticated, this session sending the session over over the response. And whether whether it is not, we are considering with the 4 not, uh, 4 not Traged user. Yeah. This is looking fine. We can able to, uh, use the MFA, I guess. Thank you.

So below when React component life cycle method snippet, that's a common anti pattern that can lead to multiple rate renders. Uh, unnecessary spot issue and explain why it's problem along with the you fixed it. So component did update. So this will, This will update, uh, this dark state need to update, need to be false. Okay. There's not friction. Let's see. Yeah. So this is an issue issue code. So what happened means, Um, what happened means whenever, uh, whenever we are setting the state, uh, the state is not an, Um, the state actually, uh, not updated in a synchronous manner. So after quite, uh, quite a long time, only this State will update like the need to update state. So whenever need to update state is in, uh, true. After that only, it is going and updating the Need to update and updating the need to update to false and fetching the data. So after After this, need to update, uh, is false, then also, uh, then also it will came to component it update. Um, because of, uh, some component is updating. This will come to the slide cycle method. And again again, this will, The, um, that's a possibility to multiple reenters. So how can I fix this? Means, Uh, here, uh, this dot state need to update is here. And this dot state need to update, uh, falls. So So I can maintain I can maintain, like, Uh, need to update this, uh, through I can So I can, uh, handle with a different state. Um, otherwise, I can, handled with the different life cycle methods. So different should component update, uh, like that in different, Different life cycle method, I can, uh, I can handle, um, that will work after the updates. So, Uh, before, uh, before component update will work as a before thing to should component update. So this will be on loop. So I can change the should component update component update take this. So I can change to that life cycle method. I can able to, um, get, uh, get this from, Uh, get this from good, Uh, get this stopped from multiple rate renders. Thank you.

Describe an OGS back end architecture that could scale to support millions of concurrent users. So We need to make a scalable application means. 1st, we can instead of JavaScript, we can go with, We can go with ties TypeScript tags because wherever we are, Wherever we are maintaining, uh, maintaining, like, uh, um, wherever we are confident about what we are sending, and we are confident, Confirmed about what we're getting, and we'll be confident about what we are sending. So this primary step Is, uh, compared to JavaScript, this primary step is handled completely very good manner in TypeScript. So we can take it as a TypeScript in Node. Js. Otherwise, in next, uh, NestJS also a good scalable, Uh, scalable framework where we can able to, um, start a server coding over there. And for that, Node. Js, we can, uh, we can go with, uh, Nest or Node. Js with the TypeScript. So, uh, Nest is also the TypeScript already. So, uh, TypeScript is one of the thing. And added to that, uh, we need to have a reliable, uh, reliable, Uh, a reliable database, like, um, reliable database, like, Uh, p SQL, we can, uh, PostgreSQL, we can use according, um, compared to MongoDB. Um, p SQL is, uh, good for scalable applications. So this could be the architecture like, Postgres, uh, PostgreSQL. So with the PostgreSQL, we can add it to that. Um, we can deploy this application to the EC 2. So this EC 2 this EC 2 will, Run the server in a in the Linux system. We can get it from the AWS. So, after this, Um, after this, we need to maintain our API gateway in the same AWS services. And we can, uh, we can go with the Fargate, And we can go with the load balancer. So for multiple kind of user, we can able to use the load balancer, uh, load balancer. So added to that, if, uh, if more more and millions of users are coming, we can go with 10 containerization, Uh, containerization or orchestration steps, like Docker or Kubernetes. Whenever we are, So Docker and Kubernetes means, obviously, CSR, EKS, uh, in AWS. So whenever we are, uh, going with the and multiple instance, uh, multiple instance. And, uh, without the monolithic, we can each at throughout a different space. We can able to use it with the Kubernetes. And, uh, we can, We can deploy in this such a manner, uh, manner, uh, with added to that load balancer and all. We can able to get a good redundant amount of scalable We can able to maintain in the Node. Js enrollment. And I guess this sounds fine. And yeah. Thank you.

Slow API response. How would you redesign the system for better scalability performance? So just give me a second. I need to take a call. Your company, Uh, your company experiences surge in traffic leading to slow responses. So slow responses is obviously, Uh, if we didn't maintain the architecture properly and in code code side also, uh, if we didn't manage, Uh, if we are not manage the, um, manage the connection and if we, uh, combined with So many third parties, and we are not handling it properly, the data, and the synchronous responses. And at this time, at this kind of situation. We can able to, uh, get the latency in API responses. To redesign, we can, Uh, to redesign, we can go with, uh, uh, we can go with a good design pattern. So, Mostly, in notice, we are using the, uh, model, uh, MVC patterns, I guess, so separate the controllers and, um, and routes and, uh, and services, uh, services packages uh, for each and every modules and schemas and separate, uh, models. And after this, uh, After this, we need to, uh, we need to, uh, we need to, like, uh, speed up, uh, improve the Improve, uh, improve the AP responses means we can, uh, we can so, yeah, in architecture level, we can use the Lambdas in AWS, so that can be a quick response, uh, responsive. It's also serverless also. So, uh, mostly, the database connection is a huge thing. So that's why most of the, uh, TB queries are giving giving us the latency. Uh, so we need to handle that situation, uh, handle, uh, handle the situation wherever we are deploying our RDB instance that could be, Uh, that could be more, uh, uh, that could be more responsive, uh, more responsive and more quicker to connect to the functions and all. So this is how we can able to, uh, improve the performance of the APS, AP responses.

What is the what is your approach to testing and monitoring? Is it for these technologies? So this CICD is a necessary continuous integration. That is relevant. Uh, deployment is a necessary thing. So why why? Because so if we handle, uh, application, um, if we handle, the publication, uh, for a user for, uh, only 10 to 50 peoples, we can do without the CACD. But whenever we are going with the multiple number of users, obviously, we need to have a test cases. And we need to have a CCD pipelines, which could be the job would be run on Jenkins and all. Uh, why because means, so if multiple, if application sizes, um, sizes bigger, uh, we can so, obviously, the team's race is also bigger. So, um, so 1 person's score can affect another person's code. So that after after they are pushing, they are after they're pushing, uh, only they came to know. So this is affecting that person a's code affecting person b's code and person, uh, person c is affecting uh, person c code is affecting, uh, Boson jet scope. So, uh, based on this, we need to maintain a, uh, maintain a test cases in TDD approach whether in front end, we can able to maintain Zest and React testing libraries and in Mocha Jain back end. So to testing different, uh, to testing APs and to testing UI uh, UI elements. So, we can able to so, whenever the CACD, uh, CACD run, we can run, uh, whenever the test cases is run, we can able to test each and, uh, each and every component level. So component by component that can give some, uh, that can give some basic idea. Okay. Uh, based on our our cases, these things are are not failing. So we will sure about. So what we are writing and what we have done so that, um, based on that consolidated, uh, finalization, we came to know that okay, this won't affect network code, uh, code in our, um, in our, uh, server development server or whether it's staging a product new server. So after that, not to that in same case for, uh, back end code also. So these, uh, these test cases are merged, uh, whenever we, uh, we are handling a scalable application, uh, like a bigger application. So the time, this is a basic need, uh, needed thing here the

Any database technology to enhance the security of scalability of and how do you plan to integrate database technologies? Uh, so, uh, integrate, enhance the security, and scalability means. Uh, scalability, obviously, we can, uh, we can use the different kind of load balances. And, uh, if we are maintaining CACD, We can we can go for code build. Um, otherwise, uh, if we are having the, we can go for ECS and EKS, uh, for scalability? And for security, uh, Yeah. So for security, we need to go from the code level itself. We need to maintain So it's in, uh, if we are using, uh, AWS, we can we can go with Cognito. It's the it's the best tool to, Integrate integrate and authenticate the user, uh, with not sending the password to the t in the DB. So This is the case in, uh, security level. And, yeah, SCORs, uh, is also one of the security in notice. So, Um, cross site, uh, origination, we are not allowing, so that is also a added perk. And And without, um, so far losing out data, or if anyone hack our DB, uh, databases, so that could be the, Um, many, uh, problems. So the main data, what we are using, uh, the Confidential data that, uh, it is that could be an encrypted format that that is well and good. So like this, uh, we can able to look into different security and scalability in Node. Js application. Thank you.