DZone

FEBRUARY 14, 2025

In the realm of modern software architecture, middleware plays a pivotal role in connecting various components of distributed systems. Efficient database operations in middleware can dramatically improve overall system performance, reduce latency, and enhance user experience.

Database 222

Database Performance Software Architecture Latency 222

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251

Latency Cache Infrastructure Strategy 251

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. This significantly increases event latency.

Engineering 245

Engineering Tuning Latency Open Source 245

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. The throughput of this pipeline is more important than the latency of the individual operations.

AWS 125

AWS Programming Latency Architecture 125

Scalegrid

JUNE 7, 2024

In this article, we will explore what RabbitMQ is, its mechanisms to facilitate message queueing, its role within software architectures, and the tangible benefits it delivers in real-world scenarios. Stepping back, it’s clear how RabbitMQ has become an essential tool in modern software architecture.

IoT 130

IoT Software Architecture Architecture Scalability 130

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. This data-propagation latency was unacceptable?—?we And obviously, if you get a 100% hit rate, you eliminate all I/O required to access your data?—?and

Cache 184

Cache Architecture Engineering Latency 184

O'Reilly Software

APRIL 4, 2018

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. Determine requirements first. Another element they have in common is that they are both consuming and producing messages.

Architecture 80

Architecture Scalability Google Operating System 80