Cloud Services
"Cloud Services refers to a broad range of services delivered on demand to companies and customers over the internet. These services are designed to provide scalable and easy access to applications, resources, and services, and are fully managed by cloud service providers."
Amol Malpani (CTO, Cloudaeon)
Why choose us?
Cloud services provide a wide range of tools and platforms that can accelerate digital transformation, improve flexibility, and reduce infrastructure costs. For businesses keen on leveraging AI, Cloudaeon can help them harness the full potential of the cloud to derive insights, automate tasks, and innovate.
If you're thinking about how to make AI drive better business outcomes, start with a free readiness assessment and let us know when you're ready to start the conversation.
Key Use Cases
- Web Hosting: Deploying websites or web apps on scalable cloud infrastructure.
- Data Analysis: Leveraging cloud-based big data and AI tools for insights.
- Development Environments: Quickly provisioning dev/test environments.
- E-commerce Platforms: Scaling online stores to handle varying traffic loads.
- Collaborative Tools: Using SaaS applications for project management, team collaboration, and more.
Key Benefits
- Capital Expenditure: Shifting from capital expense to operational expense with no upfront costs.
- Scalability Concerns: Easily scaling resources without manual intervention.
- Maintenance Overhead: Reducing the hassle of regular maintenance and updates.
- Global Availability: Deploying applications or services closer to the end-users globally.
- Flexibility and Speed: Rapidly deploying and testing new applications or services.
What We Offer
- Infrastructure as a Service (IaaS): Provides virtualized computing resources over the internet.
- Platform as a Service (PaaS): Delivers everything from the infrastructure to software applications as a unified service.
- Software as a Service (SaaS): Offers cloud-based software to end-users.
- Function as a Service (FaaS)/Serverless: Allows developers to execute code in response to events without managing the underlying infrastructure.
- Data Storage and Databases: Cloud-based storages like data lakes, data warehouses, and databases.
- Networking: Virtual networks, VPNs, dedicated connections, and more.
- AI and Machine Learning Services: Tools and platforms to develop, deploy, and manage machine learning models.
- Developer Tools: CI/CD tools, monitoring, logging, and other developer-oriented tools.
How We Work
- Requirement Analysis: Understand the business and technical needs.
- Service Selection: Decide which service model (IaaS, PaaS, SaaS, etc.) or combination fits the requirements.
- Configuration: Configure the selected services as per business needs.
- Deployment: Launch services, applications, or resources in the cloud environment.
- Integration: Integrate cloud services with existing on-premises infrastructure or other cloud resources, if necessary.
- Monitoring and Management: Monitor performance, costs, and health of cloud resources.
- Optimization: Regularly review and adjust configurations to improve performance or reduce costs.
- Scaling: Adjust resources based on demand.
- Security and Compliance: Implement security protocols and ensure regulatory compliance.
- Backup and Recovery: Regularly back up data and configurations, and ensure mechanisms for quick recovery.
Managed Services
- AI Platform Management: Handling setup, management, and optimization of cloud-based AI platforms.
- Data Integration and ETL Services: Offering tools and services for integrating diverse datasets and transforming them for AI use.
- Model Deployment and Scaling: Assisting in deploying, scaling, and managing AI models in cloud environments.
- Monitoring and Optimization: Monitoring AI workloads and optimizing resources for cost and performance.
- Data Storage Solutions: Advising on and managing cloud storage solutions optimized for data analytics and AI.
- Security Protocols for AI: Implementing security measures tailored for AI workloads.
- AI-driven Automation: Implementing automation in cloud operations using AI.
- Training and Consultation: Guiding on best cloud practices for AI, emerging technologies, and offering training sessions.
Readiness Check
In 10 minutes, get a score to assess your Readiness & Maturity. You'll get a clear score to help your identify areas of improvement.
Getting Started
If you are ready to engage with us and would like do dive deeper into the subject, go ahead and book in a Discovery Workshop with our Practice Leads.