Database Architecture

Live Streaming the Super Bowl: The Art of Scaling Across Multiple Cloud Regions

Live Streaming the Super Bowl: The Art of Scaling Across Multiple Cloud Regions

The Paramount+ tech team mastered the “art of scaling” by deploying their streaming platform across multiple cloud regions, ensuring high availability and resilience during peak traffic. How can you replicate this scalability and reliability across regions? In this blog, we’ll explore two possible design patterns using a sample application.

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The Rise of Streaming Data: The Right Architecture to Transform Analytics, Disaster Recovery, and IoT

The Rise of Streaming Data: The Right Architecture to Transform Analytics, Disaster Recovery, and IoT

The rise of streaming data is reshaping analytics, disaster recovery, and IoT, driving the need for real-time data architectures. YugabyteDB meets this demand by enhancing streaming patterns, facilitating immediate data synchronization and supporting high-throughput transactional workloads for modern applications.

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Real-Time Decision-Making: How Event Streaming is Changing the Game

Real-Time Decision-Making: How Event Streaming is Changing the Game

Transforming the way decisions are made, real-time event streaming instantly turns data into new opportunities. By utilizing YugabyteDB to manage diverse streaming data, companies have the ability to not only capture and store real-time data but also analyze it to enhance customer interaction and make quick, knowledgeable choices. This approach effectively overcomes the hurdles posed by conventional databases, offering a dependable solution for managing and analyzing data in real time.

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Prioritizing Security, Stability, and Client Satisfaction: Insight from Fiserv’s VP and Fellow Architect

Prioritizing Security, Stability, and Client Satisfaction: Insight from Fiserv’s VP and Fellow Architect

Dimitri Farafonov, VP and Fellow Architect at Fiserv, recently sat down to discuss his role at this top global fintech and payments company. During the conversation, he discussed the priorities that guide Fiserv’s database selection process, along with the complexities involved in working to achieve low latency, data consistency, and massive bi-directional scalability, which are critical to Fiserv’s operations.

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