Learn how to move your apps, data, and infrastructure to Azure using a proven cloud migration and modernization approach. Plus, find cloud migration and modernization planning tools and guidance to help you accelerate your journey and move with confidence.

In this project, we will take an existing monolithic application and deploy it to Azure Platform as a Service (PaaS) offerings. The steps involved in this project include:

• Analyzing the monolithic application's architecture, dependencies, and deployment requirements.
• Identifying suitable Azure PaaS services to host the application, such as Azure App Service or Azure Container Instances.
• Preparing the application for deployment to the chosen Azure PaaS service, including any necessary configuration changes or code modifications.
• Provisioning the required Azure PaaS resources and setting up the deployment environment.
• Deploying the monolithic application to the Azure PaaS service using the appropriate deployment method (e.g., Web Deploy, GitHub Actions, Azure DevOps).
• Configuring load balancing, scaling, and monitoring for the deployed application.
• Implementing backup and disaster recovery strategies for the deployed application.
• Setting up continuous integration and deployment pipelines for future updates and releases.

In this project, we will migrate an existing on-premises application to the cloud by performing a "lift and shift" migration to Azure Infrastructure as a Service (IaaS).

• Assessing the application's requirements, dependencies, and compatibility with Azure IaaS.
• Provisioning the necessary Azure IaaS resources, such as virtual machines, virtual networks, and storage.
• Replicating the on-premises environment and configurations in the Azure IaaS environment.
• Migrating the application data and configurations to the Azure IaaS environment.
• Testing and validating the application's functionality in the Azure IaaS environment.
• Updating the application's configurations and dependencies to work seamlessly in the cloud environment.
• Implementing monitoring, backup, and disaster recovery strategies for the migrated application.

In this project, we will build a new microservices-based application from scratch and deploy it to an Azure Kubernetes Service (AKS) cluster

• Designing the microservices architecture and identifying the different services required for the application.
• Developing and containerizing each microservice using Docker.
• Setting up an AKS cluster in Azure and configuring networking, storage, and other required resources.
• Deploying the microservices to the AKS cluster using Kubernetes manifests or a deployment tool like Helm.
• Implementing service discovery, load balancing, and scaling mechanisms for the microservices using Kubernetes features.
• Configuring monitoring, logging, and tracing for the microservices and the AKS cluster.
• Implementing continuous integration and deployment pipelines for the microservices.

Dental apps often allow users to schedule appointments with their dentists conveniently.Users can check the availability of time slots and make appointments without having to call the Dental Hosiptal and Explore available time slots that fit your schedule.

• Appointments
• Case Sheet
• Patient Records
• Prescriptions
• Billing
• Multiple Clinics
• Data Management
• Lab Reports
• Consent Forms
• Dental Certificates and Referrals

A leading e-learning platform was facing challenges with user-generated content, as it often contained grammatical errors, unclear language, and required translations to reach a global audience. They needed a solution to enhance the quality of their content and improve user experience.

Our team developed ChatBetter, a Chat GPT wrapper powered by OpenAI's GPT-3 and GPT-4 models. ChatBetter provided real-time grammar correction, paraphrasing, language translation, and even converted audio to text. It integrated seamlessly into the platform's content creation process, enhancing the quality and accessibility of user-generated content.

User-generated content quality improved significantly. Localization and translation efforts were streamlined. User engagement and satisfaction rates increased by 30%. Content creators saved hours of manual editing time.

A digital marketing agency was struggling to meet the demands of their clients for engaging video content across various platforms. They needed a solution to expedite video creation, add subtitles and closed captions, and generate eye-catching titles and descriptions for YouTube videos and social media.

Our team developed Video Editor Copilot, an AI-powered application that transformed video creation and editing. It offered features such as automated subtitle generation, closed caption creation, YouTube video generation, short video creation, and the ability to craft captivating titles and descriptions for online content.

Video production time reduced by 50%. Accessibility improved with automatic closed captions. YouTube video views and engagement rates surged. Clients reported a 20% increase in social media engagement.

A healthcare institution needed to ensure strict compliance with regulations like HIPAA and other data privacy laws. They were concerned about data breaches, tracking cookies, and behavioral events that could put sensitive patient information at risk.

Our team developed Healthcare Compliance Analysis, a powerful tool that scanned and analyzed the institution's digital ecosystem for compliance risks. It provided a compliance score, identified tracking cookies, and analyzed behavioral events, ensuring adherence to HIPAA and other regulations.

Compliance score increased by 20%, reducing the risk of penalties. Tracking cookies and potential data breaches were identified and mitigated. Patient data protection and privacy were enhanced. Peace of mind for healthcare professionals and patients alike.