Operations | Monitoring | ITSM | DevOps | Cloud

In the first part of this blog series, we presented a use case on how machine learning can help to improve police operations. The use case demonstrates how operational planning can be optimized by means of machine learning techniques using a crime dataset of Chicago. However, this isn’t the only way to predict and prevent crime. Our next example takes us to London to have a look at what NCCGroup’s Paul McDonough and Shashank Raina have worked on.

Our first SIGNL4 release tin 2020 includes some great new features. Have a look. For all those who still need to work with pager devices in addition to their smartphone, it is now possible to include this device in the alarm workflow. This might be the case to secure alert delivery even in areas with poor cell coverage. Legcy pager support is provided through a new app we have added to the SIGNL4 app gallery. This apps sends an email to a paging gateway.

The infrastructure that runs your applications can be nearly as complex as the applications it supports. This complexity generally scales with the resilience of the architecture of your application, the scaling needs, and any security concerns. Thus, successful infrastructure for traditional applications often relies on a comprehensive tooling suite that allows the infrastructure engineers to iterate upon and improve your application’s resources.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we discuss the escalating significance of AI and machine learning in IT security space.

In this guest article John Arundel, consultant and author of Cloud Native DevOps with Kubernetes, introduces the Checkly Terraform provider. He explains what Terraform is and why you'd want to use it, and shows how to use Terraform to automate and manage your website monitoring with Checkly.

Industry 4.0 technology is transforming industry all over the world. Digital innovations such as data, virtual reality, automation, and robotics are all helping brands create products and services and deliver them to customers in better and more efficient ways than ever before. One of the most useful elements of Industry 4.0 technology comes from the Internet of Things.

This article originally appeared in TechBeacon. Gartner first coined the term "AIOps" a few years ago to describe "artificial intelligence for IT operations," and over the last few years, IT operations monitoring tool vendors have begun incorporating AIOps features into their products. Now AIOps tools are commonplace, but many IT leaders remain cautious about using these relatively new capabilities.

The Deep Learning Toolkit (DLTK) was launched at .conf19 with the intention of helping customers leverage additional Deep Learning frameworks as part of their machine learning workflows. The app ships with four separate containers: Tensorflow 2.0 - CPU, Tensorflow 2.0 GPU, Pytorch and SpaCy. All of the containers provide a base install of Jupyter Lab & Tensorboard to help customers develop and create neural nets or custom algorithms.

Ever walk into a corner market, push on the door and find it won’t open? You look down at the handle and are reminded by a sign on the door that you have to “pull” to open it? The LogicMonitor platform uses an agentless collector to pull metrics from thousands of devices and resources into a unified monitoring view (no agents required). We currently offer more than 2,000 LogicModules out-of-the-box that gather metrics from all kinds of systems using many different protocols.

Though much of the coverage of artificial intelligence or AI has been hype, the technology itself is real enough – and gaining traction in the commercial sphere. In fact, AI is increasingly being viewed as an integral requirement for business IT setups, rather than a luxury or fad. The research firm Gartner, Inc., predicts that more than 30 percent of data centers that fail to sufficiently prepare for AI will no longer be operationally or economically viable by 2020.