OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. The principle of continuous integration Continuous integration is the practice of regularly merging code changes into a central repository and testing them automatically.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

CIO

MAY 9, 2023

This makes it possible to embrace increasingly mature tools and technologies – from mainframe data virtualization, API development, hierarchical storage management (HSM), and continuous integration and continuous delivery (CI/CD) – that bring mainframe systems forward to today’s IT infrastructure expectations.

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Applications Development Open Source How To 214

DevOps.com

MARCH 12, 2024

Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT).

Artificial Inteligence 62

Artificial Inteligence Testing Artificial Intelligence Machine Learning 62

OTS Solutions

AUGUST 10, 2023

DevOps Landscape in 2023 The DevOps landscape has evolved significantly over the years, and as we look ahead to 2023, the latest trends in DevOps will continue to shape the industry. One of the major shifts in DevOps is the increasing adoption of artificial intelligence and machine learning.

DevOps 130

DevOps Software Review Weak Development Team Artificial Inteligence 130

DevOps.com

MARCH 9, 2022

CircleCI today revealed it has acquired Ponicode to gain control over a unit testing platform infused with artificial intelligence (AI) that makes it simpler to review application code prior to uploading it into a build. Financial terms of the deal were not disclosed.

Testing 98

Testing Tools Artificial Intelligence Artificial Inteligence 98

Openxcell

APRIL 12, 2023

Developed by OpenAI , ChatGPT is an artificially intelligent chatbot. Another added feature of ChatGPT that stands out is that it can accommodate continuous integration and continuous delivery (CI/CD) pipelines. This promises users of the continuous delivery of code. What is ChatGPT?

ChatGPT 52

ChatGPT DevOps Artificial Inteligence Technology 52

Coveros

JANUARY 17, 2024

DevOps: Streamlining Development and Operations DevOps practices aim to enhance collaboration between development and operations teams, fostering a culture of continuous integration and continuous delivery (CI/CD).

Strategy 59

Strategy Artificial Inteligence How To Training 59

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. Viktor starts his interview by telling us a bit about how he began his journey in this industry and his passion for continuous delivery.

Software Development 52

Software Development Software Review Software Technical Review 52

Altexsoft

JULY 23, 2020

It also establishes continuous integration and continuous delivery ( ?I/CD According to Gartner, who coined the term in 2017, AIOps — or Artificial Intelligence for IT Operations — “combines big data and machine learning to automate IT operations processes.”. Shorter time to market of ML models.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CloudScaling

APRIL 12, 2017

Continuous response—or “CR”—is an overlooked link in the DevOps process chain. The two other major links—continuous integration (CI) and continuous delivery (CD)—are well understood, but CR is not. If you aren’t thinking about continuous response, you aren’t doing DevOps.

DevOps 56

DevOps Artificial Inteligence Software Review Continuous Delivery 56

O'Reilly Media - Ideas

MAY 1, 2019

Artificial Intelligence: AI for Business , July 2. Getting started with continuous integration , June 20. Continuous Delivery with Jenkins and Docker , June 24. Architecture for Continuous Delivery , June 27. Building Machine Learning Models with AWS Sagemaker , June 20. Blockchain.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Linux Academy

MARCH 28, 2019

While Machine Learning is just a subset of true Artificial Intelligence vendors of infrastructure automation have coined a new buzz acronym, AIOps. The popularity of agile development, continuous integration, and continuous delivery has brought levels of automation that rival anything preciously known.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

Openxcell

NOVEMBER 27, 2023

In addition, their products integrate artificial intelligence to automate repeatable tasks during migrations, modernizations, and variations. Hence, setting up continuous integration (CI) and continuous delivery (CD) processes is necessary.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Blue Sentry

MAY 17, 2021

When we look at ML deployments, there are a ton of different platform and resource considerations to manage, and CI/CD (Continuous Integration & Continuous Delivery) teams are often managing all of these resources across a variety of different microservices (i.e., Kubernetes & ML. Contact us to learn more.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

Altexsoft

OCTOBER 24, 2022

Artificial intelligence (AI) and machine learning technologies enable CloudOps administrators to automate these tasks efficiently. At the core of a DevOps organization is a continuous integration / continuous delivery (CI/CD) pipeline that supports automated building, testing, and deployment of software projects.

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Organization Disaster Recovery DevOps Artificial Inteligence 40

DevOps.com

AUGUST 4, 2023

Release management is a critical discipline within software development and IT operations that focuses on the planning, scheduling, coordination and deployment of software releases. It includes the procedures, plans and methods employed to guarantee that software updates or items are sent to customers in a secure and effective way.

Software Development 96

Software Development Software Artificial Inteligence Development 96

Trigent

MARCH 8, 2021

Expanding nature of products, need for faster releases to market much ahead of competition, knee jerk or ad hoc reactions to newer revenue streams with products, ever increasing role of customer experience across newer channels of interaction, are all driving the need to scale up development and testing.

Testing 98

Testing Software Review DevOps Technical Review 98

DevOps.com

APRIL 11, 2019

DevOps today is more than the buzzword it was 10 years ago. Back then, the idea of combining development with production in your IT infrastructure was not common; the logistics were nonexistent and most of the time businesses decided it was far too much effort. However, if the last nine years has taught us anything, […].

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Trends DevOps Infrastructure Artificial Inteligence 111

d2iq

JULY 10, 2023

In this environment, cloud-native projects stall or fail, exacerbated by the complexity introduced by multi-cloud, hybrid, and edge environments, and compounded by complex workloads like artificial intelligence (AI) and machine learning.These problems exist even when you’re using a managed cloud-provider Kubernetes service. Not at all!

DevOps 52

DevOps Continuous Delivery Infrastructure Engineering 52

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. increase.

Trends 134

Trends Technical Review Technology Software Review 134

O'Reilly Media - Ideas

MAY 14, 2020

In startup environments, the lack of data, the relative immaturity of artificial intelligence and machine learning, the platform environment, and access to AI talent precludes more ambitious projects. Strong AI product management and engineering leadership cannot thrive without support from the C-suite.

Product Management 145

Product Management UI/UX Artificial Inteligence Machine Learning 145

LeanEssays

JULY 14, 2019

Making the Shift to Digital If your organization was not born digital, it may be considering a shift toward digital in order to leverage technologies such as artificial intelligence, augmented reality, ubiquitous Internet, and more. If you never make any mistakes, you never learn. Scrum [20] introduced iterations.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

Tenable

MARCH 22, 2024

Secure continuous integration and continuous delivery (CI/CD) pipelines with, for example, strong IAM, log audits and secrets management. Implement network micro segmentation and end-to-end encryption. Protect cloud data via, for example, enforcing least privilege; creating immutable backups; and using object versioning.

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Artificial Inteligence Cloud Technical Review Generative AI 122