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Scalability?: ?Think in Terms Of TCO

DZone

A system that has the ability to easily scale resources to meet the increasing workload without affecting the performance is known as a scalable system. To make an easy-to-scale system, it is crucial to have an evolutionary way of thinking about the software development cycle.

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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. In practice, standby replicas demand far more resources.

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

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.

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ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The Netflix TechBlog

Netflix Modeling Challenges Before Caveats SpiceDB, being a Relationship Based Access Control (ReBAC) system, expected authorization checks to be performed against the existence of a specific relationship between objects. This is a Caveated SpiceDB relationship. Users fit this model — they have a single user ID to describe who they are.

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