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

Dynatrace

By 2023, over 500 million digital apps and services will be developed and deployed using cloud-native approaches. For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. Industry apps explosion. 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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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. We heard many stories about difficulties related to data access and basic data processing. While a typical machine learning workflow running on Metaflow touches only a small shard of this warehouse, it can still process terabytes of 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. The current telematics architecture also has inherent scalability issues in the form of network bottlenecks. Congregated drivers who are impacting on-time deliveries. Solution: Real-Time Digital Twins.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. We heard many stories about difficulties related to data access and basic data processing. While a typical machine learning workflow running on Metaflow touches only a small shard of this warehouse, it can still process terabytes of data.

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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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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. Digital twins are software abstractions that track the behavior of individual devices in IoT applications. They combine an event handling function with state information about each device.

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