From Machine Learning to DevSecOps: Six DevOps Trends for 2024
DevOps.com
DECEMBER 19, 2023
Here are six distinct technology trends that are poised to be particularly influential for DevOps and software development in the new year.
MLOps: Methods and Tools of DevOps for Machine Learning
Altexsoft
JULY 23, 2020
When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.
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Understanding the Role of DevOps in Digital Engineering
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. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.
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Understanding the Role of DevOps in Digital Engineering
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. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? The Key Principles and Importance of DevOps in Enterprise Applications 1.
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CircleCI Will Use AI to Increase Collective DevOps Intelligence
DevOps.com
NOVEMBER 22, 2022
CircleCI has committed to adding additional collective intelligence capabilities to its continuous integration/continuous delivery (CI/CD) platform that will leverage machine learning and other forms of artificial intelligence (AI) to optimize application development and delivery.
Harness Invests in Automating Continuous Delivery
DevOps.com
APRIL 23, 2019
Fresh off raising an additional $60 million in funding, Harness plans to make more investments in machine learning algorithms to advance continuous delivery through automation. The post Harness Invests in Automating Continuous Delivery appeared first on DevOps.com.
Preparing for Machine Learning Readiness to Unlock its Full Potential
DevOps.com
APRIL 21, 2023
With the rapid advancement of artificial intelligence (AI) and machine learning (ML), companies need to understand and evaluate their readiness to adopt these technologies and drive material business outcomes.
MLOps Vs. DevOps: What’s the Difference?
DevOps.com
AUGUST 10, 2022
Machine learning operations, or MLOps for short, is a key aspect of machine learning (ML) engineering that focuses on simplifying and accelerating the process of delivering ML models to production and maintaining and monitoring them. The post MLOps Vs. DevOps: What’s the Difference?
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AWS Looks to Meld MLOps and DevOps
DevOps.com
JANUARY 4, 2021
The rate at which machine learning operations (MLOps) and DevOps best practices are converging is poised for rapid acceleration in 2021. The post AWS Looks to Meld MLOps and DevOps appeared first on DevOps.com.
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MLOps vs. DevOps: The Key Similarities and Differences
Dzone - DevOps
FEBRUARY 20, 2024
DevOps has been an integral part of software development for the last 15 years. MLOps is the logical reaction to the current difficulties enterprises face putting machine learning into production.
10+ Biggest DevOps Mistakes You Must Need to Avoid in 2023
OTS Solutions
AUGUST 10, 2023
Most business owners talk about DevOps, but when it comes to implementing them, problems start. Having gone through the process with many companies, a DevOps engineer told me the five common DevOps mistakes organizations make when carrying out DevOps development for the first time.
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Three Ways Machine Learning Can Change Incident Management
DevOps.com
MAY 20, 2021
The post Three Ways Machine Learning Can Change Incident Management appeared first on DevOps.com. Typically, there is a critical problem, ranging from complete failure to loss of certain functionality or performance. The problem or outage potentially means loss of revenue, loss of customers, […].
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OpenText Extends Tool for Auditing Source Code Using Machine Learning
DevOps.com
FEBRUARY 6, 2024
OpenText updated a static analysis code auditing tool using machine learning algorithms to provide deeper insights into on-premises IT environments.
Graduating From DevOps to MLOps? 5 Tools to Help
DevOps.com
FEBRUARY 10, 2023
DevOps is a set of practices that aims to bridge the gap between software development and operations. It aims to improve collaboration and communication between these two teams and to automate the process of software delivery so that changes can be made and deployed more quickly and easily.
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New XebiaLabs DevOps Prediction Engine Uses Machine Learning to Deliver a “Weather Forecast” for Software Delivery
DevOps.com
MARCH 27, 2019
BOSTON–(BUSINESS WIRE)–XebiaLabs, the recognized leader in enterprise-class DevOps and Continuous Delivery software tools, today announced the first predictive risk solution for DevOps that warns teams of delays and risks in the software delivery process.
Is AI Taking Over DevOps Functions?
DevOps.com
SEPTEMBER 19, 2021
Today, almost every specialization demands the intervention of machine learning to develop AI technologies that help businesses do more with less time and resources. For DevOps, the answer is a […]. The post Is AI Taking Over DevOps Functions? appeared first on DevOps.com.
Harness to Apply AI to DevOps
DevOps.com
OCTOBER 22, 2020
Harness, at its {Unscripted} 2020 conference today, announced its plans in the fourth quarter to make available as a beta a module that leverages machine learning algorithms to optimize build and test cycles on the Harness Continuous Integration (CI) Enterprise platform.
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Six Mainframe DevOps Predictions for 2023
DevOps.com
FEBRUARY 24, 2023
DevOps, or the automation of application development and hand-off to operations, is more prevalent than ever on the mainframe. Enterprise DevOps Will Break Down Silos Across Core Systems DevOps […] The post Six Mainframe DevOps Predictions for 2023 appeared first on DevOps.com.
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How Descartes Labs achieved safe, mission-critical continuous delivery
TechBeacon
OCTOBER 28, 2019
Our platform runs on Kubernetes in Google Cloud, powering global-scale machine learning across more than 10 petabytes of geospatial data. At Descartes Labs we have built a data refinery to collect, process, and analyze sensor data to quantify changes in the Earth.
Data Science on Steroids: Productionised Machine Learning as a Value Driver for Business
OpenCredo
JULY 31, 2018
Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. Agile and DevOps practices enable the continuous delivery of business value through productionised machine learning models and software delivery. Machine learning produces predictions.
XebiaLabs Injects Predictive Analytics Into DevOps Platform
DevOps.com
APRIL 17, 2019
XebiaLabs is moving to take the guesswork out of DevOps following the launch of a set of tools that leverage machine learning algorithms to predict when and how the release of an application is most likely to go awry. The Risk Prediction Module being added to the XebiaLabs DevOps platform comes on the heels of […].
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The DevOps Trends Forecast for 2020
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.
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WSO2 Applies AI to API Management
DevOps.com
JUNE 16, 2021
WSO2 today unfurled a Choreo cloud platform through which DevOps teams can create and manage application programming interfaces (APIs) more efficiently by leveraging machine learning algorithms and other forms of artificial intelligence (AI).
Allstacks Adds Alert Capability to VSM Platform
DevOps.com
OCTOBER 10, 2022
Allstacks has added an alert capability to its software-as-a-service (SaaS) value stream management platform that automatically notifies DevOps teams when software project goals and deadlines are likely to be missed.
5 DevOps Trends Worth Knowing in 2019
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, […].
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7 sins of digital transformation
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.
The Essential DevOps Process We're Ignoring: Continuous Response
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.
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Iterative Adds Experiment Versioning to MLOps Platform
DevOps.com
DECEMBER 7, 2021
Iterative today added an experiment versioning capability to an open source platform for managing machine learning operations (MLOps) using GitOps workflows.
Stable Diffusion Goes Public — and the Internet Freaks Out
DevOps.com
AUGUST 31, 2022
Unless you’ve been living under a rock for the past week, you’ll have seen something about the new open source machine learning model for creating images. This week: A Stable Diffusion special. The post Stable Diffusion Goes Public — and the Internet Freaks Out appeared first on DevOps.com.
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Applying AI/ML to Continuous Testing
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).
Digital.ai Embraces Multiple AI Classes to Advance DevSecOps
DevOps.com
AUGUST 2, 2023
has committed to adding generative artificial intelligence (AI) and additional machine learning capabilities to its namesake platform for managing DevSecOps workflows. Digital.ai
Mobilunity Selected as One of the Top Custom Software Development Companies in Ukraine by SuperbCompanies
Mobilunity
SEPTEMBER 29, 2023
Artificial Intelligence & Machine Learning: Integrating AI and ML capabilities into applications, enhancing their functionality and enabling smart decision-making. DevOps Services: Streamlining software development and operations to enhance collaboration, reduce time-to-market, and ensure continuous delivery.
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Is AI the future of QA testing?
Apiumhub
SEPTEMBER 5, 2022
Machine learning is actually a branch of AI and computer science that focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Machine learning is an important component of the growing field of data science. Better regression tests. Predictive Analysis.
Talks with Software Development Experts Initiative Part 2
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.
DataOps Uncovered: A Bold New Approach to Telemetry and Network Visibility
Kentik
APRIL 12, 2023
It is an extension of DevOps principles and practices to data management, enabling organizations to manage and automate data pipelines for quality, accuracy, and reliability. At the heart of DataOps is the agile development methodology, which emphasizes collaboration, iteration, and continuous delivery. Why invest in DataOps?
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Staying Ahead of the Curve: How to Build a Comprehensive Immersive Learning Strategy
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.
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Driving Software Delivery Automation With AI/ML
DevOps.com
NOVEMBER 7, 2021
What if machine learning (ML) could trigger the creation of automated test cases to validate our solutions? The post Driving Software Delivery Automation With AI/ML appeared first on DevOps.com. What if we could use an artificial intelligence (AI) engine to predict the next lines of software code to build?
Using Observability to Create a Smart Data-Driven Culture
DevOps.com
AUGUST 15, 2023
The first words that come to mind when talking about smart technologies are often artificial intelligence, machine learning and automation. While these smart technologies play a crucial role in smart-driven cultures, they are not the sole factor in making workplaces “smart.”
Can DevSecOps Undo DoD’s Broken Software Failures?
Marv's Smart Future
SEPTEMBER 21, 2020
Wikipedia defines DevOps as: “ DevOps is a set of practices that combines software development ( Dev ) and IT operations ( Ops ). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.” ” DoD DevSecOps. .” ” DoD DevSecOps.
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BMC Adds More Tools to Modernize Mainframe Applications
DevOps.com
DECEMBER 1, 2023
The BMC AMI DevX Code Insights tool uses machine learning algorithms to break apart monolithic COBOL mainframe apps into subprograms that are easier to update and refactor.
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KubeCon EU + CloudNativeCon 2023 Summary: DevEx, Debugging, and Doubling-down on Community
Daniel Bryant
APRIL 26, 2023
In no particular order, here are my top KubeCon EU 2023 key takeaways: Developer experience continues to get more attention Platform engineering is increasingly focused on DevOps Debugging K8s-native applications shouldn’t be a slog (but it often is) Cloud native “stacks” are emerging: should you go all-in or select best-in-class point solutions?
HPE to Acquire OpsRamp to Gain AIOps Platform
DevOps.com
MARCH 21, 2023
Latha Vishnubhotla, chief platform officer in the office of the CTO for HPE, said the company would embed the machine learning technology developed by OpsRamp across its entire portfolio in addition […] The post HPE to Acquire OpsRamp to Gain AIOps Platform appeared first on DevOps.com.
Important Practices for DevOps in the Cloud
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.
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Sonatype Report Surfaces Scope of Known Vulnerability Challenge
DevOps.com
OCTOBER 19, 2022
In addition, Sonatype launched a Sonatype Safety Rating system that employs machine learning algorithms and other metrics to identify the most secure open source components […]. The post Sonatype Report Surfaces Scope of Known Vulnerability Challenge appeared first on DevOps.com.
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