Technologies

Microsoft Azure

Building Private and Hybrid cloud infrastructure using Azure Virtual Machine

Creation of Scalable Fault tolerant systems on Azure Server clusters

Implementation of Microsoft Defender for critical Cloud services

Implementation of Azure Databases in distributed Cosmos Db

Scalable Azure Machine Learning

Creating Data pipeline and ETL on Microsoft Azure
Amazon AWS

Building Private / public cloud infrastructure using Amazon AWS EC2

Scalable cost effective Object storage utilising AWS S3 and S3 glacier

Creation of Scalable Fault tolerant systems on Amazon EKS clusters

Implementation of AWS Cloudfront and Route 53 for Fault Tolerant clusters

Implementation of scalable and robust AWS RDS Databases

AWS Deep Learning using AWS Sagemaker
Google Cloud Platform

Building cloud infrastructure using Google Cloud Compute Engine

Secure durable Object storage utilising Google Cloud Storage

Building at scale build and deployment using Google Kubernetes Engine

Low latency content delivery using Google Cloud CDN and DNS

Implementation of scalable databases using Cloud Big Table and Cloud SQL

Development on Google Vertex AI , Translation APIs, Natural Language APIs
Full Stack Development and CICD

Front end development on React /Angular JS

Distributed Microservices on Node JS

Distributed Microservices development in Django / Python

Scalable Server side development on php : Laravel / Code Ignitor

Scalable development on Windows IIS : ASP.Net MVC and .Net Core

Dockerisation for service deployments

Development and testing of CICD Pipeline using Kubernetes
Mobile App Development

Native Andorid Studio: Java and Kotlin

Native iOS : Swift UI

Cross platform development on Xamarin / Cordova
Text/ Image Analytics

Development on Apache openNLP

Custom Text / Image Analytics engine for social media feed

Development on OpenNLP and NLTK

Custom object detection using Tensorflow /Keras
Streaming Data Analytics

Analysis of data streams has become a necessity as customers require analysis close to real time OLTPs. We take up custom development and implementation of streaming analytics platform built around the following:

Streaming solutions around Spark

Development on Spark SQL for Real time IOT data

Development on Storm and Kafka spout

Development on IBM Infosphere streams

Development on Amazon AWS Kinesis
Data Visualization

Customisations on data visualisation on Tableau

Custom development on Python PyPlot

Custom development of dynamic Visualisation on Cloud implementation of Kibana

Custom development on IBM BigInsights / Big Sheets
Distributed Databases

Development and Admistration on Apache Cassandra

Migration from RDBMS to low latency database on Elasticsearch

Development on NoSQL database MongoDb platform

Migration of on prem Petabyte data to Scalable cloud storage

Testing of Retention and DRM policies on large databases

Data migration from RDBMS to NoSQL databases

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