Login to access
Want to subscribe?
This article is part of: Edge Insights
To find out more about how to join or access this report please contact us
Enterprises are experiencing rising bills from their cloud and network providers. This report recommends how enterprises can use a distributed hybrid cloud model to improve performance, enhance security and streamline data processing to reduce costs and increase productivity.
Enterprises should pursue a distributed hybrid cloud model to improve performance, productivity and reduce costs
Enterprises are increasingly adopting hybrid IT architectures. However, there is no one-size-fits-all model, as they all face similar challenges surrounding security, scalability, performance limitations and cost management.
Cost management is a prevailing issue, with 90% of enterprises experiencing a rise in cloud costs in the last two years. One way to mitigate this is by implementing a distributed hybrid cloud approach, allowing businesses to distribute workloads across the most cost-efficient infrastructure available.
Distributed hybrid cloud also addresses the other challenges enterprises are experiencing by providing security, flexibility and performance improvements. This cloud model should be adopted, but not before ensuring organisational alignment, understanding which workloads to distribute and prioritising effective partnerships.
Enterprises should embrace a distributed hybrid cloud model
Our survey quantifies trends in enterprise cloud adoption in four industry verticals across North America and Europe
Table of contents
- Executive summary
- Enterprises are increasingly adoption hybrid IT architectures…
- But cost, performance and security are key challenges
- Many find themselves on a journey to using public cloud…
- But a hybrid, distributed model may be best
- Recommendations for industry players
Related research
- AWS, Azure and Google Cloud: Who’s got the edge?
- Telco network edge computing: Lessons from early movers
- Analysing edge computing M&A trends
- Edge AI – How AI is sparking the adoption of edge computing
