O'Reilly Media - Ideas

JULY 15, 2020

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. And that’s the problem.

Microservices 141

Microservices Weak Development Team Survey Architecture 141

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Also: infrastructure and operations is trending up, while DevOps is trending down. It’s possible that microservices architecture is hastening the move to other languages (such as Go, Rust, and Python) for web properties. This also helps explain increased usage in the microservices topic, which grew at a 22% clip in 2019.

Technical Review 140

Technical Review Microservices Data Engineering Architecture 140

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. We think the industry has been in constant upheaval, but there have been relatively few disruptions: one every five years, if that.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

Altexsoft

MAY 27, 2020

But, in any case, the pipeline would provide data engineers with means of managing data for training, orchestrating models, and managing them on production. To enable the model reading this data, we need to process it, and transform into features that a model can consume. Generating predictions.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 128

Weak Development Team Data Technical Review Survey 128

Altexsoft

JULY 19, 2022

That’s exactly what every data-driven organization has been trying to find for years,” someone would come up with a new, better solution. Data mesh is another hot trend in the data industry claiming to be able to solve many issues of its predecessors. What data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

BPM

JANUARY 18, 2019

Regulated and unregulated industries should advance with caution. The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait Explainable AI is a must for automated business decisions. wait did I just do that.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

DECEMBER 14, 2022

Then came standardized intermodal containers that revolutionized the transportation industry. That’s why applications that are designed to run as a set of discrete microservices benefit the most from containers. The laborers who did that job were called dockers. Dockers working in London, England. Source: Layers of London.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Daniel Bryant

SEPTEMBER 13, 2019

INDUSTRY TRENDS The importance workflows, SaaS, dev/ops, and community Earlier in the week the Datawire Ambassador team and I visited the fifth HashiConf US conference, delivered a presentation about implementing end-to-end security using Ambassador and Consul , attended many of the talks, and chatted to lots of our fellow attendees.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Has the organization managed its data responsibly?

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. In our industry, cloud computing might be a good example. They’re the ones that will change the face of our industry. Operations or DevOps or SRE.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145