The Fully Managed Public Cloud
Focus on your Business and leave the details to us.
What Public Cloud Support Includes
- Expert guidance for architecture, provisioning, & configuration of services
- Remote management and troubleshooting
- 24×7 phone and email support
- Deployment, configuration, & maintenance of Cloud Workloads
- Account/Identity management
- Fully managed data protection and recovery
- Connectivity – Dedicated line, VPN, and Internet
- Microsoft Azure escalation support
Isn’t Cloud Simple? Why you need Managed Cloud
The Public Cloud used to be a simple and rather mundane place. However, the modern Public Cloud is rich with a multitude of options and features. Based on your organizational needs and requirements, E2 Services will guide you through the various options and capabilities the Public Cloud offers. Ensuring identity management, system availability & recoverability are all part of your Public Cloud initial design. Maintaining the environment to adapt to new organizational or regulatory requirements. Whether implementing a small stand-alone Public Cloud system or integrating the Public Cloud into a multi-dimensional multi-tier infrastructure, E2 Services has the expertise to guide you through the implementation and ensure it is managed properly on-going.
Example Public Cloud Implementations
The Public Cloud can be configured to support a broad range of business requirements. Below are just a few ways to use Microsoft’s Azure Public Cloud.
Disaster Recovery
Organizations can efficiently implement disaster recovery to the Public Cloud by using Azure Site Recovery.
This solution is built on the Azure services: Traffic Manager, Azure Site Recovery and Virtual Network. These services run in a high-availability environment, patched and supported, allowing you to focus on your solution instead of the environment they run in.
Isolated Development & Test
This solution is built on the Azure Services: Azure DevOps, Service Fabric and Azure SQL Database. These services run in a high-availability environment, patched and supported, allowing you to focus on your solution instead of the environment they run in.
Machine Learning
By combining deep learning and natural language processing (NLP) with data on site-specific search terms, you can build solutions that greatly improve search accuracy in your application. For example, as a user types their query, it offers highly used terms as suggestions, making it easier for them to find the information they’re looking for.