CIO

MAY 9, 2023

Through DevOps and application development, businesses can bring the accessibility of open source to the mainframe while ensuring the compliance and security of their system’s data. Because of the development of open DevOps/AppDev solutions, businesses can deliver applications to market faster, at lower cost, and with less risk.

Applications 263

Applications Development Open Source How To 263

Trigent

MARCH 20, 2022

With digital adoption being on an accelerated path than ever before, faster launch to the market and continuous delivery have become a prerequisite for competitive differentiation. This article aims to outline some of the ways of accomplishing this objective by incorporating Artificial Intelligence (AI) principles.

Continuous Integration 52

Continuous Integration Engineering Continuous Delivery Quality Assurance 52

The Crazy Programmer

NOVEMBER 6, 2021

AI or Artificial Intelligence Engineer. An AI engineer works with artificial intelligence technologies to design and develop effective methods to perform a variety of operations efficiently. As an artificial intelligence engineer, you can earn up to Rs18,00,000 every year. DevOps Engineer.

Artificial Inteligence 290

Artificial Inteligence Artificial Intelligence Blockchain Software Review 290

Trigent

OCTOBER 26, 2021

DevOps is the ideal practice for software development businesses that want to code, build, test, and release software continuously. QA in DevOps fosters agility, resulting in speedier operational support and fixes that meet stakeholder expectations. Integrating QA in DevOps. Concentrate on the Tenets of Testing.

DevOps 98

DevOps Quality Assurance Artificial Inteligence Technical Advisors 98

DevOps.com

MAY 26, 2023

GitLab this week delivered an update to its continuous integration/continuous delivery (CI/CD) platform that adds additional generative artificial intelligence (AI) and cybersecurity capabilities.

Artificial Intelligence 105

Artificial Intelligence Artificial Inteligence Continuous Delivery Continuous Integration 105

Dzone - DevOps

JANUARY 7, 2024

In the ever-evolving landscape of software architecture, the integration of artificial intelligence (AI) into microservices architecture is becoming increasingly pivotal. This approach offers modularity, scalability, and flexibility, crucial for the dynamic nature of AI applications.

Microservices 97

Microservices Artificial Intelligence Artificial Inteligence Scalability 97

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 61

Artificial Inteligence Testing Artificial Intelligence Machine Learning 61

d2iq

JULY 10, 2023

Platform engineering as a replacement for DevOps has become a hot topic, with provocative critics stoking the controversy by pronouncing DevOps dead. A Misapplied Model Container orchestration platforms and DevOps rose in popularity around the same time. Let’s take a closer look. Let’s take a closer look.

DevOps 52

DevOps Continuous Delivery Infrastructure Engineering 52

Openxcell

APRIL 12, 2023

DevOps teams are raving about how ChatGPT is revolutionizing software development and reducing the day’s worth of work to minutes! Let us have a look at what DevOps and ChatGPT is and how the former can use the latter to its advantage. What is DevOps? DevOps refers to the methodology in the software development and IT industry.

ChatGPT 52

ChatGPT DevOps Artificial Inteligence Technology 52

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps. MLOps vs DevOps.

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Artificial Inteligence Machine Learning DevOps Tools 145

DevOps.com

MARCH 2, 2022

Tabnine today revealed it has integrated its code completion tool with the GitLab continuous integration/continuous delivery (CI/CD) platform. Tabnine’s platform employs artificial intelligence (AI) to accelerate application development.

Artificial Intelligence 131

Artificial Intelligence Artificial Inteligence Continuous Delivery Continuous Integration 131

OverOps

SEPTEMBER 20, 2018

Another main feature is the new Splunk IT Service Intelligence (ITSI) dashboard, which brings artificial intelligence to events so you can get visibility across IT and business services. That’s why we went over the complete itinerary, and brought you 7 sessions we plan to attend: State of DevOps – Expert Panel.

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Artificial Inteligence Artificial Intelligence DevOps IoT 133

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

OTS Solutions

JANUARY 11, 2024

With the emergence of AI, ML, DevOps, AR VR cloud computing, the Internet of Things (IoT), data analytics, digital transformation, application modernization, and other digital technologies, IT practice in mental health therapy is undergoing significant changes. billion AI and ML 2032 $22,384.27 million IoT 2028 $293.10

Technical Review 130

Technical Review VR Technology IoT 130

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

DevOps.com

APRIL 11, 2019

DevOps today is more than the buzzword it was 10 years ago. The post 5 DevOps Trends Worth Knowing in 2019 appeared first on DevOps.com. However, if the last nine years has taught us anything, […].

Trends 111

Trends DevOps Infrastructure Artificial Inteligence 111

TechCrunch

NOVEMBER 4, 2021

The number of DevOps tools has increased exponentially over the last few years and, with that, the amount of data these tools can produce to help businesses improve their software development processes. The service currently integrates with about 40 DevOps tools like Jira, GitHub, GitLab, Jenkins, Gerrit and TestRails.

Engineering 199

Engineering Artificial Inteligence DevOps Machine Learning 199

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. What is Continuous Response (CR)? CR, like CI or CD is a DevOps process supported by a set of underlying tools.

DevOps 56

DevOps Artificial Inteligence Software Review Continuous Delivery 56

Coveros

JANUARY 17, 2024

For example, certifications in Agile methodologies, DevOps practices, testing approaches, or specific programming languages can validate the skills of your team and enhance the expertise and credibility of your company. Certifications provide a standardized measure of competence and are often crucial in the software industry.

Strategy 59

Strategy Artificial Inteligence How To Training 59

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. Machine learning and artificial intelligence (AI) have been cited as keys to digital transformation for organizations of all sizes and industries. Azure DevOps.

Azure 52

Azure Software Development Artificial Inteligence Serverless 52

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

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 frequently attends events like DevOps Days and Kubernetes Community Days. Victor mentioned that he enjoys smaller events more than large ones.

Software Development 52

Software Development Software Review Software Technical Review 52

Trigent

MAY 24, 2023

Next-generation technologies like Artificial intelligence (AI), Machine Learning (ML), and Machine Learning as Services are the most influential factors of codeless automation testing. The Benefits of Codeless Test Automation Codeless Test Automation is the next area of ​​focus for Agile and DevOps teams.

Technical Review 52

Technical Review Artificial Inteligence Technology Software Review 52

Perficient

NOVEMBER 13, 2023

Introduction Software development has evolved rapidly over the years, with advancements in agile methodologies, DevOps practices, and continuous integration/continuous deployment (CI/CD) pipelines. This is where autonomous testing steps in, offering a game-changing approach to software testing.

Testing 52

Testing Tools Trends Artificial Inteligence 52

Capgemini

MARCH 5, 2020

When done well, connected devices leverage artificial intelligence and machine learning (AI/ML) to proactively provide crucial data and insights about real-time asset performance, estimated replacement timelines, and supply-chain agility, with ample lead time for suppliers and airlines.

Cloud 52

Cloud Artificial Inteligence Airlines Fractional CTO 52

Linux Academy

JANUARY 26, 2019

Big Data systems feeding machine learning and artificial intelligence are a prime example of why cloud computing is growing faster than any other segment of the computing infrastructure industry. The impending release of 5G cellular networks will further increase the use of wireless platforms.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

TechCrunch

JUNE 10, 2022

In fact, even grouping “AI/ML” companies is awkward, as there is so much crossover with business intelligence (BI), data, predictive analytics and automation. Companies in even newer categories can map to terms like continuous integration or container management.

Marketing 221

Marketing Enterprise Artificial Inteligence Machine Learning 221

Dzone - DevOps

MAY 5, 2021

Gary Duan , CTO at NeuVector : Better integration of purpose-built toolings for development, monitoring, threat visibility, and protection throughout the entire pipeline and at runtime. I expect to see a tighter workflow between DevOps, DevSecOps, and the overall infrastructure team as part of the continued evolution.

Fractional CTO 78

Fractional CTO CTO Security Weak Development Team 78

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Build the continuous integration, delivery, and performance testing that a DevOps or DevSecOps approach requires . Modernize applications and operations for cloud.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Trigent

MARCH 8, 2021

With the increased adoption of DevOps, the need to scale takes a different color altogether. Further, given the blurring lines between QA and development with testing being integrated across the SDLC, there is a strong need for the partner to have strengths across DevOps, CI/CD in order to make a tangible impact on the delivery cycle.

Testing 98

Testing Software Review DevOps Technical Review 98

Apiumhub

MARCH 12, 2024

AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security. DevSecOps: Integrating Security into DevOps Practices DevSecOps integrates security practices into the DevOps workflow, ensuring that security is not an afterthought but an integral part of the development process.

Trends 52

Trends Innovation Cloud Serverless 52

Altexsoft

OCTOBER 24, 2022

CloudOps is a methodology that takes DevOps to the cloud. CloudOps codifies best practices and procedures for cloud-based operational processes, similarly to how DevOps codifies software development and delivery processes. CloudOps vs. DevOps. Both CloudOps and DevOps are agile development methodologies.

Organization 40

Organization Disaster Recovery DevOps Artificial Inteligence 40

O'Reilly Media - Ideas

JANUARY 25, 2022

There’s been a lot of speculation in the press about artificial intelligence. Yes, usage of content with “artificial intelligence” in the title is down 23% in 2021, and “AI” is down 11%. The question for the coming year, then, is whether machine learning and artificial intelligence will “evolve”—and if so, into what?

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

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. On the heals of the still wet DevOps movement we are introduced to the new era of DevOps that reaches beyond pipeline automation and into the realm of pipeline evolution.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. The Future of Cloud Computing Jobs.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

xmatters

JANUARY 11, 2023

AIOps is the application of sophisticated analytics like natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to automate, enhance, and optimize IT operations and workflows. One way to ensure your approach meets these requirements is to implement AIOps.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

xmatters

JANUARY 11, 2023

AIOps is the application of sophisticated analytics like natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to automate, enhance, and optimize IT operations and workflows. One way to ensure your approach meets these requirements is to implement AIOps.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52