June 13, Vancouver, OpenInfra Summit – Canonical today announced the extension of its commercial OpenStack offering to small-scale cloud environments with a new project Sunbeam. The project is 100% open source and is available free-of-charge. Early adopters can also opt-in for comprehensive security coverage and full commercial support under the Ubuntu Pro + Support subscriptions once they complete the deployment themselves.
Automation has become a game changer for businesses seeking efficiency and scalability in a rather unclear and volatile macroeconomic landscape. Streamlining processes, improving productivity, and reducing incidence for human error are just a few benefits that automation brings. However, as organizations embrace automation, it’s crucial to ensure modern security measures are in place to protect these new and evolving assets.
Gaming apps are complex systems. They combine multi-function systems, like the game engine, to other resources such as server containers, proxies and CDNs in order to give users a real-time interactive experience. At the same time, managing cross-functional behavior also means that games could generate massive amounts of data, commonly known as logs. You’ll want to turn that data into useful information to help improve game performance.
A reference architecture is a lovely document, but they rarely help engineers and architects implement their tools effectively. Most reference architectures offer plenty of suggestions and ideas, but not enough context. We will explore ways to make reference architectures more useful while reducing reliance on the vague and dreaded “It Depends. Cribl has just released its first official reference architecture.
Hot on the heels of the ServiceNow® Generative AI Controller and Now Assist for Search product announcements, I’m excited to announce our latest generative AI product: Now Assist for Virtual Agent. It builds on ServiceNow’s strategy to embed generative AI across the Now Platform® by helping to enable truly conversational self-service experiences.
If you had the power to predict the future, how would you use it? Gartner refers to the predictive modeling process as that which collects data, formulates a statistical model, makes predictions, and then validates the model as additional data becomes available. In the world of intelligent automation, teams use predictive modeling to formulate how future outcomes or behaviors will be, by using historical data, machine learning (ML) algorithms, and analytical techniques.
Early in my career, I made the jump from defense contractor to customer support agent for an up-and-coming IT Service Management solution provider. Being new to the team and industry, I felt completely out of place. After the initial product training, I was pointed to a lab computer and told to start diagnosing a set of customer issues. I felt completely lost. Over time, with significant amounts of studying and leaning on my peers, I figured things out and eventually became one of the go-to analysts.
Using third party software on websites comes with risk and reward. eCommerce sites and platforms typically rely on the integration of a significant number of third-party apps and tools to augment functionality and features, from extracting customer data for personalization to enabling live chat to analyzing user experience of changes to a site. While third parties are often invaluable for these kinds of interactive purposes, they can also be the cause of disruptions to user experience.