Efficiency Infrastructure Software Architecture 
The Netflix TechBlog
NOVEMBER 12, 2024
However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. Eventually Consistent : This category needs accurate and durable counts, and is willing to tolerate a slight delay in accuracy and a slightly higher infrastructure cost as a trade-off.
Dynatrace
MAY 23, 2022
“This means reinventing IT around a distributed cloud infrastructure, public cloud software stacks, agile and cloud-native app development and deployment, AI as the new user interface, and new, pervasive approaches to security and trust at scale.” Which software architecture suits your solution and business best?
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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.
O'Reilly
OCTOBER 19, 2021
As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What: The Modern Stack of ML Infrastructure. Adapted from the book Effective Data Science Infrastructure. Foundational Infrastructure Layers.
Scalegrid
JUNE 28, 2024
It offers benefits like increased reliability, efficient resource utilization, decoupling of components, and support for multiple programming languages. RabbitMQ allows consumer programs to wait and receive messages from producers, ensuring efficient message delivery and processing.
The Netflix TechBlog
JULY 12, 2019
The net result is, for many datasets, vastly more efficient use of RAM. and can achieve orders of magnitude more efficient data access, which opens up many possibilities. With this infrastructure, each time a change is detected in a source application, the updated record is encoded and emitted to a Kafka topic.
O'Reilly
MAY 19, 2020
O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Oddly, about 3% of non-adopters cited cost as a primary reason not to move workloads to cloud; cost-efficiency is usually touted as one of cloud’s most attractive features.
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