Akash Deshbhratar

Hi, my name is Akash, and I'm from Nakkumar Astra. So, basically, I have 7.6 years of experience in Ruby on Rails. Along with Ruby on Rails, I have hands-on experience in front-end technologies, like JavaScript, jQuery, frameworks like Angular and React. I have good hands-on knowledge in version control systems, such as Git. I've worked in application domains such as e-commerce platforms, video distribution platforms, document processing applications, community-based applications, and warehouse management systems. Also, I have handled around 5-member teams, where I managed their tasks. I think that's all from my side.

For this audio designer content to consume following best practices. In order to design the React frontend, I'll have to create the React application. I'll have to set the components and their structure based on the application modules. Like, I have to be in different kinds of folders where I can keep my components. I will have to keep my API request endpoints in some environment variables. And basically, I can keep the endpoint in the environment variable and the rest of the API requests. I can call it using the Axios package, which is a Node package.

The process of integrating third party JavaScript library helps six applications. There are multiple ways to integrate the third party JavaScript libraries in Relics 6 application. We can either use the chain, which is available in the Relics application. We can consume it and add it into the chain file. Otherwise, like, we can download the JavaScript library and we can keep it or we can use it as a plugin into the Rails application inside the assets folder. Or we can keep it in, like, the vendor folder, basically. So, like, we can serve this kind of JavaScript library from the assets, which we generally maintain in the application.js file. So this is how, like, we can integrate the third party library using Rails application.

Approach to optimize SQL queries. SQL queries can be optimized using multiple ways. We can use includes, which helps us handle the N plus 1 issues generally happening in Relational applications. We can figure it out using indexing, adding it on multiple fields that are frequently used for searching purposes and come into rare conditions. The joins can be performed, and the association between the database tables should be optimized. Another way is to write raw SQL queries, and we can also use materialized views, which can be a good solution for handling large amounts of data. Yeah.

Complex view template, we can handle in Rails application for performance purposes. We can use like partial views at different places and use helpers to get data for reusability purposes. We can use helpers to consume data into views. We can create partial views, which can consume a small amount of HTML or template code inside it. And based on conditions and layouts, we can design different layouts for different kinds of users. Let's take an example. There is an admin and there is a user, two different kinds of users, and we want to serve different layouts. So we can mention the layout in the application controller, which we want to serve. And yeah, such kinds of things, like we can perform to enhance view templates.

Also testing the objects, using MVC components, there are different kinds of ways we can do that. We can automate it using Selenium to test whether this next call is working perfectly. Otherwise, if you wanted to simply test the controller method that is working fine or not when the Ajax request comes into consideration. So we can simply test the controller using our spec. We can send different kinds of parameters inside the controller method, and process it as per the core mentioned inside the controller's method. And by comparing the response coming out from the controller's method, we can verify whether that response is correct or not. So based on these parameters, we can test the aspect that's called in the Rails application.

What strategies would you employ for optimizing text full text search models application app upload across multiple AWS instances. So in this case, like, we can consume the Elasticsearch or the Solr, general use for searching the full text search engine. It generally, perform some cache operations, maybe using that is, as a option. I'm not sure exactly. Like,