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Cloud Managed Services
The Aryaan Cloud practice provides managed services across platforms and models. We ensure the smooth functioning of IT applications and enterprise operations while continuously optimizing cloud services. Our artificial intelligence-driven self-healing processes and automation tools meet the technical and fiduciary requirements of enterprise workloads.
Our cloud brokerage services help you compare cloud services providers based on their service offerings, capabilities, and pricing policies. Our self-service portals simplify the provisioning of Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), Enterprise-as-a-Service (EaaS), Database-as-a-Service (DBaaS), and Disaster Recovery-as-a-Service (DRaaS).
Policy-based cloud orchestration ensures security and streamlines resource management in multi-supplier cloud services environments. Our comprehensive suite of managed services improves IT and network management while providing visibility into costs.

Aryaan facilitates data replication across physical, virtual and cloud-based infrastructure, which enables superior cloud management and disaster recovery. Aryaan Cloud Managed Services span across provisioning, operations, monitoring, security, performance management, support, and sustenance of private, public and hybrid infrastructure.
Aryaan cloud managed services are available in pay-as-you-use 
as well as conventional pricing models.
Challenges & Solutions
Partnering with an experienced cloud services provider to manage multi-tenant, multi-zonal, hybrid cloud ecosystems
Business Service Assurance suite monitors cloud and hybrid systems at the business process and resource level.
Cloud service partner must facilitate application development while addressing security as well as regulatory requirements
Integrated service delivery guarantees performance and helps achieve goals defined in service level agreements.
Cloud service provider should have a proven track record of compliance with SLA to maintain available, resilient and secure infrastructure
Machine learning algorithms proactively monitor and analyze service logs to predict incidents and prevent issues.

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