Rakuten Cloud Solutions for

Media & Entertainment

Automate your edge cloud, streamline and protect your critical Media and Entertainment applications, ensure central and on-premise availability and security, delivered via a cost-optimized,
low-footprint Kubernetes® edge solution.
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Media & Entertainment Use Cases

Audience Insights and Behavior Analysis
Leverage data on viewership patterns, engagement metrics, and demographic profiles to refine content offerings and optimize audience targeting strategies effectively.
Content Recommendation and Personalization
Enhance user experiences with personalized content recommendations using data on preferences, viewing history, and content interactions, driving engagement.
Availability, Fault Tolerance and Disaster Recovery
Implement fault-tolerant architectures and disaster recovery strategies to minimize downtime and data loss in case of edge device failures or network outages.
Content Performance Tracking and Analytics
Analyze audience engagement metrics, leveraging data like views, likes, shares, comments, and watch time to inform content strategy decisions for entertainment companies.
Social Media and Influencer Marketing
Leverage social media and influencer partnerships for audience engagement and brand promotion, utilizing data on trends, demographics, and influencer metrics effectively.
The latest from Rakuten Cloud:
Seamless migration from legacy hypervisors to a future-ready, cloud-native architecture
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Rakuten Cloud Stack

Drive Cloud-Native Success with Rakuten Cloud

Data Resilience & Management
High availability through redundancy, failover and geographic distribution.
Data Quality & Consistency
Application-aware operations with data replication and recovery for real-time access to data when you need it.
Optimized for Edge
Full observability delivered on an ultra-low footprint suited for your business.
Network Reliability
Resilience and redundancy built into the cloud platform to ensure your business stays up and running when the network goes down.
80%
reduction
in deployment timelines
40%
reduction
in operational expenditures
30%
faster
VM performance compared to incumbent platforms
50%
savings
on capital expenditures

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