DevOps.com

MAY 13, 2024

vFunction today added an ability to observe IT architectures in real-time to a platform that automatically converts monolithic application code into a set of microservices. In addition, vFunction has added a generative artificial intelligence (AI) assistant that identifies issues and surfaces recommendations […]

Artificial Inteligence 116

Artificial Inteligence Artificial Intelligence Microservices Tools 116

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

TechBeacon

NOVEMBER 26, 2018

Developing applications for the cloud today means building containerized microservices. And increasingly, artificial intelligence (AI)—grounded in machine-learning (ML) models—is at the core of those cloud applications.

Artificial Inteligence 93

Artificial Inteligence Artificial Intelligence Microservices Machine Learning 93

O'Reilly Media - Ideas

MAY 3, 2022

April was the month for large language models. There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient. It’s part of the TinyML movement: machine learning for small embedded systems.

Artificial Inteligence 105

Artificial Inteligence Trends Energy Software Review 105

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. DevOps engineer. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices. DevOps engineer. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Datavail

AUGUST 5, 2021

In a previous blog post, we discussed a number of ways that you can modernize your legacy applications, including cloud migrations, microservices and DevOps. Azure Machine Learning. Azure Machine Learning simplifies the process of building, training, and deploying production-ready machine learning models.

Azure 52

Azure Software Development Artificial Inteligence Software 52

RapidValue

APRIL 20, 2020

‘DevOps’, a term that was coined a decade before has grown to become a household name in the IT industry. A recent Markets and Markets Research Report suggests that the DevOps Market Size is expected to grow to USD 10.31 Read on to know more about the trends that are about to affect the future of DevOps. Billion by 2023.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

RapidValue

NOVEMBER 3, 2019

If one had to bet on a use case where AI and ML are likely to create a tangible, lasting impact, then he’ll probably put his chips on DevOps. DevOps is all about automation of tasks. AI and ML are considered to be perfect fits for a DevOps culture. They also learn patterns, anticipate problems and suggest solutions to issues.

Artificial Inteligence 14

Artificial Inteligence Artificial Intelligence Machine Learning DevOps 14

CIO

OCTOBER 24, 2023

Over the past few years, CIOs have focused on enabling hybrid work, driving efficiencies through automation, modernizing applications, enabling machine learning predictions, and maturing the data-driven organization.

Technical Advisors 360

Technical Advisors Technical Review Artificial Inteligence Generative AI 360

Cloudera

MAY 30, 2024

Its expertise spans cloud enablement, modern application development, BigData and ML, Cloud Journey, DevOps, Microservices, platform, and architecture changes for financial services firms. What are some of the reasons that TAI Solutions’ customers choose Cloudera?

Analytics 83

Analytics Data Compliance Banking 83

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. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

DevOps.com

MAY 3, 2022

vFunction today added the ability to employ artificial intelligence (AI) to automatically assess the level of effort required to convert a monolithic Java application into a set of microservices.

Tools 106

Tools Artificial Inteligence Artificial Intelligence Microservices 106

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

DevOps.com

JANUARY 11, 2019

trillion in 2018 on digital transformation technologies such as public cloud platforms, microservices and containers, edge computing, machine learning and artificial intelligence to improve […]. Enterprises spent $1.3

Artificial Inteligence 105

Artificial Inteligence Trends Artificial Intelligence Microservices 105

TechCrunch

FEBRUARY 17, 2021

And as enterprises move from on-premises software to the cloud and to microservices and DevOps, the need for better DevSecOps tools is only increasing. We started as a modest DevOps friendly, developer-friendly tool.” We started as a modest DevOps friendly, developer-friendly tool.”

Artificial Inteligence 179

Artificial Inteligence Machine Learning DevOps Microservices 179

Xebia

MAY 14, 2024

It also integrates seamlessly with Azure DevOps and GitHub for continuous integration and delivery. Enter Azure Kubernetes Service (AKS), which addresses the complexities of running large-scale, microservices-based applications.

Azure 130

Azure Microservices Serverless Software Review 130

DevOps.com

SEPTEMBER 24, 2019

The Rise of Microservices Enterprise adoption of microservices is continuing to rise. Its popularity is so strong that 86% of development professionals internationally expect microservices to become the default application architecture within the next five years. At its core, a […].

Microservices 99

Microservices Enterprise Architecture Applications 99

CIO

AUGUST 22, 2023

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused.

Technical Review 241

Technical Review Agile Artificial Inteligence Artificial Intelligence 241

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Artificial intelligence and machine learning.

Artificial Inteligence 104

Artificial Inteligence Course Training Blockchain 104

CircleCI

NOVEMBER 18, 2021

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). AIOps uses machine learning and big data to assist IT operations. DevOps vs AIOps. Take cloud misconfiguration, for example.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

OverOps

JULY 1, 2019

To maintain reliable software, DevOps practices and Site Reliability Engineering are being adopted to ensure the stability of software in fast-paced dev cycles. Static and dynamic analysis can be run on our code, machine learning and artificial intelligence can be applied to our system metrics… you get the picture.

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

TechCrunch

SEPTEMBER 15, 2021

He added, “Relyance is actually embedded within the DevOps pipeline of our customers’ infrastructure. ” Leila R.

Compliance 226

Compliance Microservices Policies Artificial Inteligence 226

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Apiumhub

JULY 24, 2023

Carlos predicted that 2023 would bring significant advancements in front-end development, particularly in the areas of artificial intelligence, machine learning, and automation. He discussed the potential applications of machine learning for performance optimization and adaptive content loading.

Software Development 52

Software Development Software Review Software Technical Review 52

d2iq

FEBRUARY 21, 2023

Need for a Higher-Performance NoSQL Database As organizations adopt a microservices architecture or transition between cloud providers to create real-time applications to deliver new business services and enhance customer experiences, they use on-demand, pay-as-you-go, fully elastic, resilient cloud resources.

Data 83

Data Microservices Scalability DevOps 83

O'Reilly Media - Ideas

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. More than half of respondent organizations use microservices. Microservices Achieves Critical Mass, SRE Surging. All told, we received 1,283 responses.

Cloud 143

Cloud Microservices Serverless Survey 143

Dzone - DevOps

MARCH 17, 2023

AWS Fargate works with Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) , supporting a range of container use cases such as machine learning applications, microservices architecture apps, on-premise app migration to the cloud, and batch processing tasks.

Lambda 98

Lambda Serverless AWS Microservices 98

LaunchDarkly

MAY 28, 2020

Oren explained the differences between AI and automation, problems with existing test automation solutions, how AI/machine learning can be used to address software testing problems, and more. On April 16, Oren Rubin, CEO and Founder of testim.io, spoke at our Test in Production Meetup on Twitch. Watch Oren’s full talk.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Testing Software Review 59

O'Reilly Media - Ideas

JANUARY 22, 2019

From artificial intelligence to serverless to Kubernetes, here’s what on our radar. Artificial intelligence for IT operations (AIOps) will allow for improved software delivery pipelines in 2019. DevOps breaks down more silos; rise of the SRE. Gone are the days of simply responding to issues as they pop up.

Systems Review 78

Systems Review Trends Engineering System 78

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning.

Course 58

Course Artificial Inteligence Training Blockchain 58

d2iq

MAY 9, 2022

Although cloud native and Kubernetes are very disruptive technologies, there is another technology that is probably the most disruptive technology of our generation, and that is artificial intelligence (AI) and its subset, machine learning (ML).We

Cloud 114

Cloud Open Source Artificial Inteligence Data Center 114

Apiumhub

MARCH 16, 2023

Conference Tracks There will be 9 different tracks at DeveloperWeek Europe, including: DevExec & DevLead – designed for executives and managers to learn more about technical leadership. AI & Machine Learning – features talks related to chatbots, machine learning, and open-source AI libraries.

Fractional CTO 52

Fractional CTO Conference Software Engineering DevOps 52