Our Work

Our company specializes in developing software applications that increase efficiency and help organizations achieve their business goals. Our latest work involves leveraging cloud technology to reduce costs and increase scalability for our clients. Through collaboration and expertise in cloud migration, application modernization, microservices development, data analytics, and experience with Java, AWS Cloud, Azure, and .NET, we deliver tailored solutions that provide real business value.

Application Modernization for XYZ Inc

For this project, I assisted XYZ Inc in modernizing their legacy applications using a microservices approach and leveraging cloud-native services such as AWS Lambda, AWS DynamoDB, and AWS S3. We utilized AWS Elastic Container Service (ECS) and AWS Elastic Kubernetes Service (EKS) to deploy and manage their microservices. Additionally, we used AWS API Gateway to design and manage their APIs, and AWS CloudFormation to manage their cloud infrastructure as code.

Cloud Migration Project for ABC Corporation

As part of this project, I helped ABC Corporation migrate their on-premise infrastructure to the cloud, specifically to AWS. The migration involved identifying which applications were suitable for migration, developing a migration plan, and executing the migration. We used AWS services such as AWS Elastic Compute Cloud (EC2), AWS Elastic Load Balancer (ELB), and AWS Relational Database Service (RDS) to host and run their applications. We also used AWS CloudFormation to manage their cloud infrastructure as code, which allowed us to easily automate the deployment and management of their resources.

Microservices Development for PQR Enterprises

As part of this project, we designed and developed microservices-based applications using .NET Core and deployed them on Azure Kubernetes Service (AKS). We used Docker containers to package the microservices and Helm charts to manage their deployment and configuration. Additionally, we used Azure DevOps to automate the build, test, and deployment process, as well as to manage the project's codebase.

Data Analytics Project for LMN Corporation

For this project, we designed and implemented a cloud-based data analytics solution using AWS. We used AWS Glue to extract, transform, and load data into their Amazon Redshift data warehouse, which we used for their data analytics. We also utilized AWS Athena for running ad-hoc queries and AWS QuickSight for visualizing the data. Finally, we automated the entire pipeline using AWS CloudFormation and AWS Lambda to ensure data is automatically updated and processed on a regular basis.