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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service .

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Multi-tenants and Branches in Neon Serverless PostgreSQL

Percona

Tenants Multi-tenancy is a software architecture pattern where a single instance of a software application serves multiple tenants, allowing them to share resources like storage, processing power, and memory while maintaining separate, secure access to their respective data.

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Use Digital Twins for the Next Generation in Telematics

ScaleOut Software

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. For example, the system could perform continuous predictive analytics on the engine’s parameters with knowledge of the engine’s maintenance history and signal if an impending failure was detected.

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UI Design Patterns That Don't Scale

SQL Performance

Consider this design: The data behind this example requires counting and processing the entire dataset in order to report the number of results. That kind of feedback is necessary to help build maintainable, scalable solutions. Using paged results is a good way to not overwhelm the user with too much information all at once.

Design 92
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5 tips for architecting fast data applications

O'Reilly Software

Considerations for setting the architectural foundations for a fast data platform. We live in the era of the connected experience, where our daily interactions with the world can be digitized, collected, processed, and analyzed to generate valuable insights. Accumulating all this data to process overnight is not an option anymore.

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Sociotechnical Design Variables

Strategic Tech

how to design software architectures and organise teams around them. performance, security) UX / Brand Perception: design decisions which have an impact on how users experience the system I’ve recently been collating some of the variables which exist in each of these areas, and they are presented in the remainder of this article.

Design 45