IBM Zones in on DevOps for AI
IBM this week revealed it has added a drift detection capability to the Watson OpenScale platform to govern artificial intelligence (AI) models that will become a foundational piece of IBM’s approach to defining best DevOps practices for building AI-infused applications. Rohan Vaidyanathan, program director for IBM Watson OpenScale, said one of the biggest AI issues […]
Kong Employs Machine Learning to Extend Services Control
At the Kong Summit 2019 conference, Kong today announced it has acquired Insomnia, an open source testing tool for application programming interfaces (APIs). In addition, it has added support for REST, Kafka Streams, gRPC, GraphQL and plugins written in Go to its service control platform. Kong also added more capabilities based on machine learning algorithms […]
How AI and Microservices Create a Reliable Enterprise of the Future
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. Looking out even longer, nearly all professionals see microservices becoming their company’s default application architecture. At its core, a […]
Aspects of Machine Learning on the Edge
Machine learning (ML) is hard. Making it work within the confined environment of an embedded device can easily become a quagmire unless we consider, and frequently revisit, the design and deployment aspects crucially affected by ML requirements. A bit of upfront planning makes the difference between project success and failure. For this article, our focus […]
4 Challenges OEMs Face When Implementing New Technology
Like many others, the manufacturing industry is moving to a subscription-based business model. This new way of doing business is being referred to as servitization and it is forcing manufacturers to no longer strictly sell new products, but instead sell access to and the outcome those products deliver. This is fundamentally changing the way manufacturers […]
OverOps Integrates AI Code Analyzer With CI/CD Platforms
At the DevOps World | Jenkins World 2019 conference, OverOps announced it has integrated its namesake tools for analyzing Java and Microsoft .NET code at runtime with a variety of continuous integration/continuous deployment (CI/CD) platforms, including Jenkins, JetBrains TeamCity, Atlassian Bamboo and Pivotal Concourse. Eric Mizell, vice president of solution engineering for OverOps, noted that […]
Low-Code Providers Continue Enhancing Their Development Platforms
Enterprise low-code development continues to grow in popularity as software vendors continue to unveil tool enhancements designed to help business users and non-developers build functional applications and business processes. The help from low-code platforms (and other platforms that are integrating low-code capabilities) couldn’t come at a better time, as enterprises continue to struggle to digitize […]
Getting the Enterprise Digital Core in Shape
While enterprises rush to transform their business digitally, most are taking tactical steps rather than building a comprehensive digital core that can be improved over time. Very few are taking a thorough view of their entire technology portfolio and looking for ways to create a cohesive core—their digital core—to provide them the strength and stability […]
Are Self-Service Machine Learning Models the Future of AI Integration?
DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. As a result, the market is seeing an influx of self-service machine learning models and machine learning-as-a-service offerings designed to help development teams more […]
DevOps Chat: We Are Devo, With Walter Scott
If you have massive amounts of data, Devo wants to help. The Madrid-based company specializes in the handling and processing of massive amounts of data. In this DevOps Chat we spoke with Devo CEO Walter Scott about the use cases for Devo in a data-crazy world. Walter is a seasoned CEO in the tech sector. […]
Technology: Isolation in the Age of Automation
Dependence on technology makes us more independent overall, but it also makes us more isolated. So, what happens if things come to the point where we depend on machines more than we depend on other human beings? Earlier this month I attended a presentation about machine learning on mobile phones at Google IO 2019. Right […]
3 Steps to Building Data Science Models
Have you ever considered supplementing your development skills with some data science? Expand your range and follow this quick tutorial on how to build your own predictive models using open datasets, Jupyter notebooks and Sequential models. Pick Your Data Game Your first step in learning data science is to find a dataset that fits your […]
Harness Invests in Automating Continuous Delivery
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. Harness CEO Jyoti Bansal said the startup, which he co-founded with Rishi Singh, a former DevOps platform architect at Apple, is now in a position to invest more aggressively in […]
What Can Automation Learn From DevOps?
A recent Capgemini survey revealed that while enterprise-scale automation is still in its infancy, IT automation projects are moving along. IT is starting to view automation less tactically and more strategically. The Capgemini survey also showed that IT automation can be responsible for several quick wins, including self-healing, event correlation, diagnostics, application releases, cybersecurity monitoring […]
XebiaLabs Injects Predictive Analytics Into DevOps Platform
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 […]
Developing Simple and Stable Machine Learning Models
A current challenge and debate in artificial intelligence is building simple and stable machine learning models capable of identifying patterns and even objects. Is it possible to know which models will work best or to simply see the data? It is possible, and the question is figuring out how to get there. Simple models are […]
5 DevOps Trends Worth Knowing in 2019
DevOps today is more than the buzzword it was 10 years ago. Back then, the idea of combining development with production in your IT infrastructure was not common; the logistics were nonexistent and most of the time businesses decided it was far too much effort. However, if the last nine years has taught us anything, […]
SolarWinds IT Trends Report 2019: Measuring the Skills Priority in DevOps
Although historically technology professionals were among the most adaptive specialists in the job market, a recent survey from SolarWinds found that DevOps teams, web product managers (WPMs) and developers lacked confidence in their current ability to effectively manage their current environments while engaging in future technologies. This balancing of current trends with future innovations is […]
VMware Doubles Down on IT Automation
VMware this week moved to inject application and operating system monitoring capabilities into the VMware vRealize cloud management platform to make it easier to employ dashboards to map the relationships between applications and the underlying IT infrastructure they run on. In addition, VMware enhanced its capacity optimization tools to enable IT teams to run “what […]
The New AI Overseer Role in DevOps
Robot overlords are the stuff of science fiction fantasy. Today, with more teams implementing artificial intelligence (AI), DevOps teams need a hard, continuous look at reality. An AI overseer watching apps at work could make the difference between sadness and euphoria in your efforts. We’re seeing AI misses more and more often. Facebook recently admitted […]
Perfecto Applies AI to Writing Test Scripts
Artificial intelligence (AI) is starting to be applied to the writing and update test scripts. Perfecto has unfurled Perfecto Codeless, which employs machine learning algorithms to automate writing of test scripts in a way that allows them to not only run continuously, but also adjust to changes made to the application. Eran Kinsbruner, chief evangelist […]
In Service Management, AI Is Still Aspirational
Artificial intelligence (AI) has become a matured concept, the excitement of which is bearing results for a number of sectors and it holds a good deal of promise for a bright future. AI is the act of making possible for machines to learn from “experience” while adjusting to new input and stimuli so they can […]
Incidence Avoidance in Action
Today, CIOs are faced with the challenge of making enterprise technologies perform on par with offerings from consumer-facing technology leaders, such as Facebook or Netflix, meaning technology or services being seamlessly available with no performance lag. Of course, these expectations are not always aligned with the realities of managing complex hybrid enterprise systems that were not […]