Continuous transformation in IT operations is more than just an industry buzzphrase. In fact, continuous transformation is a critical survival tool for any cloud and IT solution landscapes today. To achieve continuous transformation, innovation must continue well beyond a migration to the cloud. This continuous innovation during day-to-day IT operations is the most critical aspect […]
OpsRamp Adds Recommendation Engine to AIOps Platform
OpsRamp added a recommendation engine to its artificial intelligence for IT operations (AIOps) platform that makes use of predictive analytics to suggest potential actions to either improve performance or avert downtime. The OpsRamp Winter 2020 Release also adds 19 cloud monitoring integrations for Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP), along […]
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 […]
Machine Learning and Predictive Analytics Are Reshaping Manufacturing
Regardless of industry or vertical, companies everywhere are encountering a new generation of customers with ever-evolving expectations. These new demands are forcing brands to redefine the way they do business. Today’s customers overwhelmingly favor the simplicity of subscription models, in which they pay a flat monthly fee for access to a product in the form […]
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 […]
4 Predictive Analytics Challenges Facing SRE Teams
“Predictive analytics” refers to the many techniques used to analyze data to make predictions about the future, such as data mining, statistics, modeling, machine learning and artificial intelligence. Being able to predict technical and business outcomes is one of the main promises of big data. Indeed, many businesses have invested heavily in infrastructure to anticipate […]
Managing Complexity in Dev/Test Infrastructure Using Machine Learning
Businesses are increasingly developing software solutions that can drive innovation and digital transformation. As the number of developers increases in the organization, the ratio of developers to IT also increases over time. The net result: more dynamic and complex dev/test infrastructure requirements and slower support from IT. Developers and testers often cannot get their hands […]
Embedding Predictive Analytics
For an enterprise with a deep DevOps maturity model, the initial “wow” factor of automation has worn off. At this point, the sexier concepts involve proving continuous improvement. As an example, our first baseline of metrics might have taken the pre-DevOps timings of a typical build and deployment of a given application. We can measure […]