Case studies

Technologies used: Microsoft Azure HCI Stake (On prem hosted Hyper converged infrastructure)

Team strength: 5

Period : 2 year 

Technical overview of the project :

This is for Data centre  management and infrastructure development company ,

Tech requirements is to help the customer to get migrate from VMware infrastructure to Microsoft hosted Azure HCI stake 

We build the new infrastructure platform using Azure HCI stake and we migrated VMware workload to Azure HCI 

With this we helped customer to manage the infrastructure as hybrid hosted platform with low running cost (VMware licensing and running cost is 3times higher than Azure stake HCI )

Technologies used: Citrix Hybrid VDI 

Team strength: 5

Period : 3 year 

Technical overview of the project :

This is for Telecommunications company ,

Tech requirements is to help build new Citrix VDI hybrid platform (onprem & Azure Cloud ) 

With this it helps to delivery the low cost and high effective VDI to 3rd party users to access the customer internal applications and data in the secured way .

We build and delivered this platform for 13 regional sites of Africa region

Technologies Used: Bitbucket, Python, Bitbucket API, Configuration File

Period: 1 week

Technical Overview of the Project: The project automated the process of setting branch restrictions for all repositories in each workspace in Bitbucket. A configuration file defines the restrictions, which are then processed by a Python script. The script utilizes the Bitbucket API to enforce the specified restrictions across all branches systematically, ensuring consistency and compliance with the defined configuration.

Technologies Used: AWS Lambda, CodeBuild, Bash Scripting

Period: 3 days

Technical Overview of the Project: The project dynamically managed the provisioned concurrent executions setting for AWS Lambda functions. A Bash script was developed to adjust provisioned concurrency by adding, removing, or altering percentages based on specific days of the week. The process was automated using CodeBuild, ensuring timely execution and optimized resource allocation for varying workloads.

Technologies used: Microsoft power apps (power automate ), Python , appian , mulesoft and other platforms 

Team strength: 8

Period : 1 year 

Technical overview of the project :

This is for Fund management and investment company ,

Tech requirements is to integrate all their Business operations application (SaaS) through API integration with this it will help to business to automate the business process ,with this automate workflow we help customer to increase the productivity and reduced the error rate.

Technologies Used: Python, AWS DynamoDB, AWS Backup, Step Functions, Lambda, CodeBuild, CI/CD Pipeline

Period: 3 Weeks

Technical Overview of the Project: The project automates the migration of data from a main DynamoDB table to a dev DynamoDB table in another AWS account for testing purposes. Step Functions orchestrate a sequence of Lambda functions to ensure smooth migration:
* Backup: A Lambda function initiates the backup, followed by another monitoring Lambda that re-triggers if the backup job is still running or progresses if completed.
* Cross-Account Copy: Two Lambda functions handle the copying of backups between accounts.
* Restore: Additional Lambda functions switch roles to the target account, perform data restoration, and monitor its status.
* Post-Restore Configuration: A Lambda function ensures DynamoDB tags and Stream triggers are replicated in the target environment.
The Step Function is triggered via CodeBuild and integrated with a CI/CD pipeline for seamless automation.