OverOps

AUGUST 12, 2019

All the data in the world means nothing if it’s not the right data. But when it comes to delivering reliable software and troubleshooting issues, what is the right data? When it comes to CR, it’s not just about what data you can capture, but how you analyze and leverage it. Code Metrics. True Root Cause.

Metrics 207

Metrics Data SDLC Machine Learning 207

CIO

OCTOBER 24, 2023

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. Gartner’s data suggests that, without executive partnership, as many as 88% of CIOs are primed to fall short.

Technical Advisors 363

Technical Advisors Technical Review Artificial Inteligence Change Management 363

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. AI and ML are transforming the way applications are developed and optimized.

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. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

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

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. Achieving Continuous Reliability means not only introducing more automation and data into your workflow, but also building a culture of accountability within your organization.

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

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

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

Dzone - DevOps

DECEMBER 3, 2023

Companies are adopting modern architectures like microservices, serverless computing, and utilizing the latest AI and machine learning techniques. They may contain valuable historical data or functionalities for which there is no modern equivalent.

System 59

System Analysis Serverless Microservices 59

CircleCI

NOVEMBER 18, 2021

IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. These events occur when a team establishes inadequate settings for cloud data protection. AIOps uses machine learning and big data to assist IT operations. Take cloud misconfiguration, for example.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 52

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.

Course 102

Course Artificial Inteligence Training Blockchain 102

OTS Solutions

MAY 2, 2023

It enables businesses to store, access, and process data remotely via the Internet. Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. It is a network of interconnected devices that can communicate and exchange data with each other.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 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

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. Subsequently, they’re also integrating monitoring tools to improve domain-centric monitoring abilities.

Applications 59

Applications Microservices Machine Learning Artificial Inteligence 59

Kentik

JANUARY 31, 2023

And once you have that raw telemetry data, you need to interpret it. We’ll look at how, by combining DevOps observability data with network telemetry, you can get strong, network-focused observability. After identifying and categorizing the relevant KPIs, you need to gather data about these KPIs.

Network 105

Network Analysis Data Center Metrics 105

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

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. Blockchain.

Course 55

Course Artificial Inteligence Training Blockchain 55

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

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

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 84

Artificial Inteligence Trends Artificial Intelligence Microservices 84

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 44

Course Training Artificial Inteligence Machine Learning 44

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. Kubernetes.

Systems Review 77

Systems Review Trends Engineering System 77

Trigent

APRIL 14, 2022

Daihen, a Japanese manufacturer of industrial electronics equipment, realized that their Osaka plant could not handle data from dozens of sensors. The data was being processed remotely by a cloud server, and response time was slow. Data will soon be everywhere, but how about Security?

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

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 65

Software Development Software Review Software Development 65

Linux Academy

JANUARY 26, 2019

Cloud computing is not just about having virtual servers in an off-premises data center. When he saw the costs of the infrastructure, networking, and other cloud resources he asked, “Why would we ever do anything in our own data center again?”. There is no doubt that the pay-as-you go model has impressed many organizations.

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. Kotlin's latest release (Kotlin 1.3,

Microservices 96

Microservices Big Data Programming Applications 96

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. 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. What is DataOps?

Analytics 317

Analytics Data Engineering Machine Learning Artificial Inteligence 317

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. The amount of data and events being processed in such a system is high in volume and, therefore, hard to monitor manually.

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. The amount of data and events being processed in such a system is high in volume and, therefore, hard to monitor manually.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

OverOps

AUGUST 1, 2018

Today I’m happy to launch the OverOps Platform, which includes many new features that extend our value to DevOps and SREs. Meet OverOps Platform Which includes many new features that extend our value to DevOps and SREs. Containers and microservices have become a default standard for the way we architect new applications.

DevOps 37

DevOps Microservices Machine Learning Artificial Inteligence 37

RapidValue

FEBRUARY 24, 2020

Through the application of reasoning, problem solving and in some cases Machine Learning, AI can used to support automation, decreasing the amount of mundane and tedious tasks in development and testing. Functionize: This tool leverages Machine Learning for functional testing for faster test execution.

Artificial Inteligence 83

Artificial Inteligence Artificial Intelligence Software Review Testing 83

Apiumhub

MARCH 26, 2019

Mark Richards is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems. He has a particular interest in the adoption of Architecture, Agile, DevOps and Cloud as innovation enablers. Mark Richards.

Software Review 44

Software Review Architecture Technical Review Software 44

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different.

DevOps 141

DevOps Data Software Review Technical Advisors 141

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 nearly every industry, both technologies are still extremely modern — especially in the context of business fit. Machine Learning is Use-case Drenched.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

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.

Machine Learning 59

Machine Learning Artificial Inteligence Testing Software Review 59

Openxcell

NOVEMBER 27, 2023

Data migration involves moving both data and analytics workloads. Top 7 cloud migration tools The need for robust cloud migration tools has never been greater as more organizations move their data to the cloud. They provide migration services for associations that want to move their data to AWS without experiencing any downtime.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52