Public Cloud Solutions
Flexible, Cost-Effective, and Scalable Cloud Services for Modern Businesses
A Public Cloud is a cloud computing model where resources such as servers, storage, and applications are delivered over the internet and shared among multiple organizations. It offers on-demand scalability, pay-as-you-go pricing, and global accessibility, making it ideal for businesses seeking agility and cost efficiency.
Why Choose Public Cloud?
Public Cloud is perfect for organizations that need:
- Rapid Deployment – Launch applications and services in minutes.
- Cost Optimization – Pay only for what you use.
- Global Reach – Access resources from anywhere.
- Elastic Scalability – Scale up or down based on demand.
- Innovation Enablement – Leverage AI, analytics, and advanced services.
Key Features
- Compute Services – Virtual machines and containers for workloads.
- Storage Solutions – Object, block, and file storage options.
- Networking – Secure and high-speed connectivity.
- Security & Compliance – Built-in encryption and regulatory adherence.
- Cloud Management Tools – Automation and orchestration for efficiency.
Benefits of Cloud
- Global Infrastructure – Deploy workloads across multiple regions.
- Cost Optimization – Pay-as-you-go pricing and reserved instances.
- High Availability – Built-in redundancy and disaster recovery.
- Scalability – Scale resources up or down instantly.
- Security & Compliance – Enterprise-grade protection and certifications.
- AI & Advanced Workload Support - Build, train, and deploy with Azure ML. Vision, speech, and language APIs for intelligent apps. Use Rekognition and Comprehend for advanced AI
Amazon Web Services (AWS)
- Compute – EC2 instances, Auto Scaling, and Elastic Load Balancing.
- Storage – Amazon S3, EBS, and Glacier for secure and scalable storage.
- Database – Managed databases like RDS, DynamoDB, and Aurora.
- Networking – VPC, Direct Connect, and CloudFront for secure connectivity.
- Security & Compliance – IAM, encryption, and compliance certifications.
- AI & Machine Learning – Amazon SageMaker, Rekognition, and Lex.
- Analytics – Big data processing with AWS EMR, Redshift, and Kinesis.
- DevOps & Automation – AWS CodePipeline, CloudFormation, and Lambda.

Microsoft Azure
- Compute – Virtual Machines, Azure Kubernetes Service (AKS), and App Services.
- Storage – Blob Storage, Disk Storage, and Azure Files for secure data management.
- Networking – Virtual Network, ExpressRoute, and Load Balancer for connectivity.
- Security & Compliance – Azure Active Directory, encryption, and compliance certifications.
- AI & Machine Learning – Azure AI, Cognitive Services, and Machine Learning Studio.
- Analytics & Big Data – Azure Synapse Analytics, Data Lake, and HDInsight.
- DevOps & Automation – Azure DevOps, ARM Templates, and Functions.