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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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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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Data Consistency in Apache Cassandra — Part 3

Software Architecture

So, this configuration is a good way to achieve immediate consistency, if you need very high performance, optimize writes at the expense of slower and lower availability on your reads. Cassandra attempts to write the data to all 3 nodes but after this operation is successful, you only have the guarantee that data will be current on 1 node.

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Data Consistency in Apache Cassandra — Part 2

Software Architecture

So, if you have an SLA that you need to meet for your application that requires that data is always fully consistent, then tune those queries for immediate consistency whereas for other queries where performance is more important, tune those queries for eventual consistency. You get high performance reads and writes.

Tuning 100
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Data Consistency in Apache Cassandra — Part 1

Software Architecture

You can tune the write consistency for performance (by setting the write CL as ONE) or immediate consistency for critical piece of data (by setting the write CL as ALL) Following is how it works: A client sends a write request to the coordinator. For all these benefits, the price you pay is lower consistency. Comments and thoughts welcome.