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 185

Engineering Tuning Latency Open Source 185

O'Reilly

DECEMBER 2, 2019

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

cdemi

FEBRUARY 20, 2017

Rapid Development - You can quickly deploy a function without having to worry about infrastructure resources and growth. Performance - Serverless Functions that are used less frequently may suffer from warmup response latency, where the infrastructure needs some time to deploy the function. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

O'Reilly

NOVEMBER 12, 2019

Respondents who have implemented serverless made custom tooling the top tool choice—implying that vendors’ tools may not fully address what organizations need to deploy and manage a serverless infrastructure. A related point: the rise of the serverless paradigm coincides with what we’ve referred to elsewhere as “ Next Architecture.”

Serverless 88

Serverless Architecture FinTech Infrastructure 88

The Netflix TechBlog

JULY 12, 2019

This data-propagation latency was unacceptable?—?we With this infrastructure, each time a change is detected in a source application, the updated record is encoded and emitted to a Kafka topic. Traditional Hollow usage The problem with this total-source-of-truth iteration model is that it can take a long time.

Cache 183

Cache Architecture Latency Engineering 183

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. Mesos achieves that unification by aggregating the infrastructure resources, and then offering resources slices, like x CPUs, y MB RAM, and z GB disk, to applications.

Architecture 80

Architecture Scalability Google Operating System 80

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 136

AWS Latency Programming Architecture 136