Blue Sentry

MAY 17, 2021

In particular, deep learning, machine learning, and AI tend to be the three trickiest to pin down. Despite machine learning and AI embedding into. The post Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today appeared first on Blue Sentry.

Artificial Inteligence 59

Artificial Inteligence Artificial Intelligence Machine Learning Technology 59

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

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 Machine Learning 226

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

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

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

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

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

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 94

Lambda Serverless AWS Microservices 94

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

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 363

Technical Advisors Technical Review Artificial Inteligence Generative AI 363

Dzone - DevOps

DECEMBER 3, 2023

Companies are adopting modern architectures like microservices, serverless computing, and utilizing the latest AI and machine learning techniques. In an era defined by the relentless drive towards digital transformation, IT landscapes are continuously evolving.

System 59

System Analysis Serverless Microservices 59

CircleCI

NOVEMBER 18, 2021

AIOps uses machine learning and big data to assist IT operations. Systems have multiplied their components in the industry-wide shift to containers and microservices. The strength of machine learning is its ability to analyze and act on this monumental amount of data. DevOps vs AIOps.

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

OTS Solutions

SEPTEMBER 5, 2023

Here Are The Important Practices for DevOps in the Cloud Cloud computing and DevOps are two aspects of the technological shift which are completely inseparable. The biggest challenge in dealing with the two is that IT professionals practicing DevOps development in the cloud make too many mistakes that are easily avoidable.

DevOps 130

DevOps Cloud Software Review Weak Development Team 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

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 103

Artificial Inteligence Course Training Blockchain 103

OverOps

AUGUST 12, 2019

It considers established baselines and averages to pinpoint anomalies and immediately notify DevOps and SRE teams of events that require immediate resolution. True Root Cause. Many APM vendors will tell you that they provide the root cause of an issue, including “code-level” insights.

Metrics 207

Metrics Data SDLC Machine Learning 207

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

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 The post 5 Trends Transforming Digital and IT Operations Management appeared first on DevOps.com.

Artificial Inteligence 105

Artificial Inteligence Trends Artificial Intelligence Microservices 105

Dzone - DevOps

AUGUST 24, 2020

As we step into MicroServices architectures and ways to deploy these on the cloud with containers, and all the goodness of DevOps.

Microservices 83

Microservices Architecture DevOps Applications 83

Dzone - DevOps

JUNE 16, 2021

Companies are rapidly investing in microservices, mobile apps, data science programs, data ops, etc. AIOps extends machine learning and automation abilities to IT operations. There’s no one-size-fits-all approach regarding application monitoring, especially for companies using applications in various cloud environments.

Applications 53

Applications Microservices Machine Learning Artificial Inteligence 53

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

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

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. AI and machine learning are becoming widely adopted in home appliances, automobiles, plant automation, and smart cities. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Kentik

JANUARY 31, 2023

We’ll look at how, by combining DevOps observability data with network telemetry, you can get strong, network-focused observability. This can be especially helpful for enriching network telemetry if your system is based on a microservice architecture. This post will provide concrete guidance on how to do just that.

Network 105

Network Analysis Data Center Metrics 105

O'Reilly Media - Ideas

JANUARY 22, 2019

This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. The movement from monolith to microservices has already started, and service meshes will be a key component in fast-tracking the transition. Service mesh.

Systems Review 78

Systems Review Trends Engineering System 78

Apiumhub

JUNE 13, 2023

BarcelonaJUG is a non-profit association that was founded and 2012 to foster knowledge sharing and learning about Java, Kotlin, cloud, DevOps, and coding best practices. They will rebrand the JBCN conf as DevBcn , expanding the conference to cover front-end, machine learning, big data, cloud computing, and DevOps topics.

Software Development 66

Software Development Software Review Software Development 66

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Trigent

APRIL 14, 2022

The solution came in the form of an Intelligent Edge solution from FogHorn that makes complex machine learning modules run on highly constrained devices. These smaller services can be highly efficient and lend themselves to high scalability, but not without loading DevOps teams with the additional pressure of housekeeping.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

TechBeacon

NOVEMBER 6, 2019

Microservices and DevOps have accelerated time-to-value for code, and cloud computing has made infrastructure almost completely programmable. IT has been transformed over the past decade. Everyone is scrambling to adapt as efficiently as possible to this new landscape.

Microservices 15

Microservices DevOps Infrastructure Cloud 15

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. Last but not least is cloud optimization.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

O'Reilly Media - Ideas

JANUARY 17, 2019

In addition to maintaining its position as the most popular introductory language for students, scientists, and knowledge workers, Python will continue its widespread adoption in web development, DevOps, data analysis, and machine learning circles.

Microservices 98

Microservices Big Data Programming Applications 98

CIO

DECEMBER 22, 2022

It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. DataKitchen, which specializes in DataOps observability and automation software, maintains that DataOps is not simply “DevOps for data.” What is DataOps?

Analytics 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325

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