I have been working on implementing CRM applications for most of my career. All the CRM applications which I have worked with have a common pattern for access where users login to the application and then look through stuff to find what they need to work on. So I thought why not streamline that process a little bit. With current boom in AI, why not add some AI flavor to the CRM application.
So I came up with this solution to have a Conversational interface for the CRM where one can get info from the CRM just like chatting with…
This is the second part of the post series which you can find here. In the last post I described about the app and how it is built. Just to refresh, this is what we have in each of the post:
* 1st Post( old post): Overview about the application and about its underlying logic. …
While learning some Machine learning, I came up with this idea to better the search on Yelp based on those tons of reviews which get entered everyday on Yelp. This app really helped me learn the ML concepts and understand the complexities of deploying an ML model. Through this post I wanted to share what I have learnt so someone can use this in their path to learn.
Since its really a broad topic and the app includes so many moving components, I will be covering the app and its deployment in two posts. …
In this post I try to explain what I learnt about the various ways to deploy Lambda functions. Hopefully this will help someone else who is starting to learn the wonderful Lambda functions. On a high level these are the ways which I will go through here and I found easier to deploy a Lambda function:
- Using Serverless Framework
- Deploy Lambda functions from Docker images
- Using SAM (Serverless Application Model) templates and Lambda Layers
- Using Terraform
More Details here: https://amlanscloud.com/lambdadeploy/
This is my version of the #CloudGuruChallenge. The whole post can be found below.
This post describes about how I built a Movie recommender system (similar to Netflix). I built this system in response to the Cloud Challenge from Acloudguru (Here). But then I thought why not have an end to end implementation of the system along with a Web app and a CI/CD deployment process to deploy the Machine learning model. Hopefully I will be able to help someone learn the concepts and fulfill the challenge requirements too. This is my first attempt on building something based on Machine learning so I apologize if there are some gaps in my understanding of the algorithms and how its executed. I write about other cloud related topics Here .
The whole post is below:
Recently Zoom has become very popular with many companies as a go-to means for communications. During the Covid period this year, Zoom has become a primary communication mode as many companies switched to remote work. Since Zoom is already an integrated part of the companies now, I thought why not integrate it to the Sales processes too. Sales users who are already using Zoom should be able to to use it to operate on their CRM too.
This is when I came across Zoom bots. I will go through details below regarding what actually is a Zoom bot. …
I am pretty sure we all have one or more apps deployed on Heroku. It is one of the most popular platform to deploy apps encompassing various technologies. I use Heroku to deploy many of my side projects as it has a generous free tier. But one thing I always struggled in Heroku was to manage the logs. I agree it is easy to get the logs on Heroku CLI with just one command but I wanted a more automated a stable solution to track the Heroku logs.
I really like how AWS enables tracking application logs in Cloudwatch Logs. Its…
During last few months, while being locked at home due to COVID, I thought of using my free time to build something useful. So I built an App to help my wife manage her Recipes (which she has been complaining that she is having hard time managing). While I built the app it was a great learning curve for me where I learnt a few new things and got a chance to apply them to my app. Particularly I learnt a lot building the whole architecture for the app including the front end and the backend.
I explain about the app architecture in my blog post here:
If you want to view a preview of the app, watch these videos:
In this post I am switching gears from my general cloud technology posts towards a bit of app development. Recently while I was working on one of my side projects, developing a React app, I faced an issue to persist the cookies on the app when opened on mobile. I wanted to convert the React app to an installable android app and provide a persistent login for the user. I didn’t want to develop a whole new app for mobile using React Native and just re-use the React web app which I built, as an app on mobile.
Previously I wrote a post explaining how we can design a Kubernetes deployment to deploy a full stack React app with Flask API backend.
In this post I am completing the walk-through adding a deployment automation to Kubernetes cluster using Jenkins.
This is the final part of the series where I will be going through steps to deploy the Kubernetes components described in the above post to Kubernetes cluster. I will be using a Jenkins pipeline to deploy the Kubernetes resources to a cluster and make the react app accessible from a node endpoint. For simplicity I have simplified the…
Cloud architect and DevOps engineer. Love to code and develop new stuff. A nerd by nature.