#hybrid-cloud

#hybrid-cloud

Nasuni's new partner program features a tiered structure and value-based incentives to better support partners in the hybrid cloud market.

The HPE ProLiant MicroServer Gen11 enhances performance for small offices with improved hardware capabilities and expandability.

Hybrid cloud and container technologies enhance collaboration and innovation, but they require updated cybersecurity practices to combat new threats.

Dell APEX simplifies multi-cloud management and enhances operational efficiency while integrating Azure operations seamlessly across on-premises and edge environments.

European organisations exhibit lower maturity in networking for hybrid and multicloud architectures compared to global counterparts.

Hybrid cloud is increasingly popular, allowing enterprises to combine public and private storage for flexibility and enhanced operational resilience.

UK organizations are shifting to managed hosting services for improved security and compliance with regulations.

Realizing the full potential of GenAI will take time despite traction seen in revenue streams.

AWS promoting migration to its own platform from VMware Cloud on AWS.

Edge computing promises fast real-time computing and cost efficiency.

Hybrid cloud approach recommended for future-ready edge computing adoption.

Hybrid cloud management complexity is crucial.

Cost predictability a challenge in public cloud deployments.

Hybrid cloud was once considered a temporary measure for legacy applications, allowing time for modernization before transitioning to full public cloud.

Some enterprises are finding the migration of workloads to the public cloud more challenging than anticipated, leading to a shift in views towards hybrid cloud as a long-term solution.

Organizations have found a balance between public and private cloud infrastructure.

Cost benefits and data security are key factors driving infrastructure choices.

AI workloads have different performance and capacity requirements compared to traditional enterprise workloads, needing to handle large datasets from gigabytes to petabytes and utilizing multiple cloud platforms.

Importance of storage scalability, performance, API integration, and data wrangling capabilities in handling AI workloads across hybrid cloud environments.