Dynatrace
MAY 23, 2024
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.
ScaleOut Software
NOVEMBER 24, 2020
Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. Rapid advances in the telematics industry have dramatically boosted the efficiency of vehicle fleets and have found wide ranging applications from long haul transport to usage-based insurance.
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SQL Performance
JULY 8, 2021
With Load-More paging, there’s at least a chance to make efficient use of an index. It can also be very difficult to pull off efficiently using SQL Server. That kind of feedback is necessary to help build maintainable, scalable solutions. With Paged-Results, that “OFFSET @N ROWS” may take longer and longer as @N grows.
Strategic Tech
MAY 24, 2019
how to design software architectures and organise teams around them. Alignment Efficiency Varying the shape of a boundary will alter the dynamics of collaboration between teams who need to be aligned, which may be more or less efficient for achieving goals. needs when designing boundaries.
The Netflix TechBlog
MAY 19, 2023
Netflix is always looking for security, ergonomic, or efficiency improvements, and this extends to authorization tools. Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability.
O'Reilly Software
OCTOBER 23, 2018
It's a given that we must design a system, including a local software architecture, that actually runs, that is "solid." I love this definition of containing entropy because it offers something to both the software-minded and the business-minded architect (which I hope are two categories this book will help to collapse).
O'Reilly
OCTOBER 19, 2021
Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Architecture.
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