Peak events like Black Friday sales, record-breaking concerts, and unpredictable freak events like adverse weather and cloud outages, are pushing legacy database technology’s scalability and resilience limits.
With even more frequent and extreme peak events and freak events likely in the years to come, discover how distributed SQL can help!
Managing large PostgreSQL tables requires partitioning, which can complicate queries. Migrating to YugabyteDB simplifies scaling by automatically sharding and distributing data and minimizing partition reliance. The article includes demos on PostgreSQL’s partitioning limitations and YugabyteDB’s advantages in distributed tables and scalability.
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.
Black Friday 2023 witnessed significant growth in online sales, with Cyber Monday setting new records, highlighting the continued relevance of these peak shopping days. Despite the surge in online shopping, overall holiday spending is only expected to increase slightly, suggesting a shift towards more online purchases.
To meet their technical requirements for a highly scalable application, a digital marketing agency migrated to YugabyteDB Aeon from MySQL, leveraging horizontal and vertical scaling, advanced monitoring capabilities, and superior query performance.
A US-based bank revamped its data platform to meet the demands of the digital banking era and the need for real-time customer interactions. Central to their efforts was a unified data platform, capable of handling trillions of reads and writes while ensuring high availability and low latency, catering to diverse query patterns.
In distributed databases like YugabyteDB, managing unique, sequential numbers across multiple applications can introduce latency. This blog explores the different ways YugabyteDB makes sequence generation efficient and offers insights on enhancing performance in distributed setups.
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.
If you are designing your architecture for stateful edge applications, here are some key principles and design patterns you should be aware of.
GraphQL provides a query language for APIs, giving UX developers autonomy over querying APIs and the database.
The advantages of using GraphQL for UX applications are well understood. GraphQL clients can retrieve only the data needed in the UI application. GraphQL provides a strong type system that avoids manual code parsing and data filtering that takes up precious processing cycles when rendering the UI to users. Additionally, GraphQL increases UX development’s velocity, and the feedback cycles needed for designing API responses are minimized.
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