Database Performance Scalability Software Architecture 
Percona
MARCH 21, 2023
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.
ScaleOut Software
NOVEMBER 24, 2020
Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. Every few seconds, the application servers collect batches of snapshots and write them to the database where they can be queried by dispatchers managing the fleet.
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Software Architecture
AUGUST 24, 2017
Source: [link] Cassandra has tunable consistency which means that not only on the database level, you can tune the immediate and eventual consistency of your data per query/operation by setting the read CL (consistency level) and write CL. You get high performance reads and writes. You’d never want to set write CL = ALL, read CL = ALL.
Software Architecture
AUGUST 24, 2017
Consistency The topic and concept of consistency is very important when you work with a distributed database like Cassandra. When you’re working with a database which runs on only one server, consistency is a non-issue. For all these benefits, the price you pay is lower consistency. So, your consistency guarantees are much lower.
SQL Performance
JULY 8, 2021
It’s also a good way to not overwhelm the database servers … usually. That kind of feedback is necessary to help build maintainable, scalable solutions. Michael J Swart is a passionate database professional and blogger who focuses on database development and software architecture. Paged Results.
Software Architecture
AUGUST 24, 2017
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.
O'Reilly Software
APRIL 4, 2018
Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.
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