Cloud
Whether you’re on-prem, in a public or private cloud or managing a hybrid or multi-cloud environment, we understand the complexities and business challenges you face and can guide you throughout your journey.
ConRes is built to support the modern cloud environment. By combining our rich history of data center expertise with the latest cloud technologies, we’re in a unique position to help you right-size performance, remediate vulnerabilities, ensure compliance and optimize spend.
How We Support You in the Cloud
If you’re optimizing the public cloud, automating tasks and processes, or migrating data into public and hybrid clouds, you can be confident each aspect will be expertly planned, executed and managed from start to finish. Leverage expertise across on-prem, public, hybrid and multi-cloud environments and relationships with the industry’s top cloud providers to align your cloud solutions with your business goals today and into the future.
What We Deliver
Best Practice Assessment
• Instance performance and usage
• Storage optimization
• Security & compliance
• Identity management
• Well architected framework
Roadmap
• Workloads and applications
• Migration
• Optimization
• Provider selection
• Timeline and cost estimates
Implementation
• Solution design
• Planning and testing
• Integration
• Automation
Management & Optimization
• Governance
• Shared security model
• Cost controls
• Security monitoring
• Backup and disaster recovery
• Analysis and reporting
Leverage our expertise in the following areas:
- Collaboration & Communication
- Security
- Automation
- Networking
- Storage
- Backup & Recovery
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Cloud Overview
Leverage dedicated expertise to solve problems and improve operations across your multi-cloud environment.
Case Study: Biotech
Even as the company continued to rack up wins and patents, their breakneck pace came at the…
Case Study: Biotech
After spinning off from a large pharmaceutical company, a fast-rising therapeutics organization needed an AWS environment capable of supporting and scaling their machine learning-enabled drug discovery research efforts.