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.
Paramount+ enhanced its streaming service’s scalability and reliability by migrating to YugabyteDB and deploying across multiple regions. See how this migration marked a significant improvement in their infrastructure to meet customer demands.
The cloud revolution, initially promising for application scaling, falls short in database scalability, facing challenges with concurrent user management and processing. To truly harness cloud benefits and meet peak demands, organizations must consider horizontally scalable, cloud-native databases over traditional, monolithic SQL systems.
YugabyteDB’s Change Data Capture (CDC) capabilities are pivotal for streaming applications. A large brokerage firm achieved significant performance gains with Yugabyte CDC, while a major streaming media company utilized CDC to migrate from MySQL, enhancing system resilience and service delivery.
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.
Abra Controls leverages IoT data for real-time insights in oil and gas operations, streamlining deployment and decision-making processes. Their choice of YugabyteDB Aeon ensures robust data streaming and analytics, accessible globally on mobile devices for immediate response and action.
Companies like General Motors, Plume, and Xignite are leveraging YugabyteDB for real-time event streaming, making swift decisions and driving revenue growth. This powerful tool provides scale, throughput, and geo-distribution, addressing the unique challenges of various complex use cases efficiently.
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.
As you look to build a streaming application that scales, there are many database options to choose from. If you’re looking for a high-performance database that can handle large-scale data, YugabyteDB,
is a great option. In this blog, we will build an application with YugabyteDB and Django, using the PubNub market order data stream. You will see how you can use YugabyteDB and Django to make an application that subscribes to the PubNub Market Orders Stream, stores these trades in YugabyteDB, and displays them in real-time.
In this blog, we explore how to stream data from YugabyteDB’s Change Data Capture feature to Snowflake using SnowflakeSinkConnector on Confluent cloud via Kafka connect.
