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

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

O'Reilly Media - Ideas

JANUARY 25, 2022

Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021. Enterprises are investing heavily in Kubernetes and microservices; they’re building cloud native applications that are designed from the start to take advantage of cloud services. That’s no longer true. Programming Languages.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

O'Reilly Media - Ideas

MAY 1, 2019

Artificial Intelligence: AI for Business , July 2. Deploying Container-Based Microservices on AWS , June 10-11. Microservices Caching Strategies , June 17. Getting started with continuous integration , June 20. Continuous Delivery with Jenkins and Docker , June 24. Microservice Fundamentals , July 10.

Course 47

Course Training Artificial Inteligence Machine Learning 47

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

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 . Integrate systems to extract the maximum value from your apps. •

Software Review 94

Software Review Technical Review Software Development Team Review 94

Dzone - DevOps

MAY 5, 2021

Microservices architecture introduces a lot of moving parts. Deepak Kumar, CEO and founder of Adaptiva : The greatest opportunities lie in improving the CI/CD (continuous integration/continuous development) pipeline with improved security and tools to help validate third-party code as well as the natively developed code is.

Fractional CTO 78

Fractional CTO CTO Security Weak Development Team 78

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

Openxcell

NOVEMBER 27, 2023

In addition, their products integrate artificial intelligence to automate repeatable tasks during migrations, modernizations, and variations. It is much easier to develop, test, and launch new features to such an application when you refactor it into a microservices architecture.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. There’s been a lot of discussion about operations culture (the movement frequently known as DevOps), continuous integration and deployment (CI/CD), and site reliability engineering (SRE).

Programming 145

Programming Cloud 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. Small, independent teams own a small service – called a microservice these days.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91