Operations | Monitoring | ITSM | DevOps | Cloud

Virtually every business utilizes some form of data collection, no matter how big or small. While large-scale enterprises have more established methods for collecting, storing and analyzing data, smaller companies and start-ups are also beginning to understand the value of data collection and analysis in order to: This is especially true in the age of Big Data and democratized data — where we have more data-driven insights available to us than ever.

When you first hear “Robotic Process Automation” (RPA) you might immediately think of a manufacturing line with a series of physical robots each doing their part to build something. RPA is SO much more than that! The “bot” in this sense is an AI powered piece of software that can interface with any system you run today just as a human would.

Being a network admin of an enterprise network, you know better than anyone how disastrous network downtimes might be. The cost of downtime study conducted by Gartner in 2014 found that network downtime costs $5,600 per minute on an average, but this number can range from $2,300 to $9,000 per minute. With organizations moving towards sophisticated networks built on hybrid infrastructures, network downtimes are becoming more frequent and costly.

cAdvisor (container advisor) is an open-source container-monitoring platform developed and maintained by Google. It runs as a background daemon process for collecting, processing, and aggregating data into performance characteristics, resource usage statistics, and related information about running containers. With built-in support for Docker and literally any other container type out of the box, cAdvisor can be used to collect data on virtually any type of running container.

Mobile device management – it’s been part of your operational technology portfolio for a long time. You’ve been using it for years – or maybe decades – to stage device configurations, push software updates and more. You might be using our Ivanti Avalanche MDM solution to manage your rugged mobile deployments. The device, OS and app management capabilities remain at the center of your mobility management program, and that isn’t going to change.

Hybrid cloud has become a popular computing model in recent times. Find out all you need to know, including its features, pros and cons As computing needs evolve, enterprises continuously find it difficult to scale their business offerings on private or on-premises computing environments. That’s why there are third-party or public cloud providers to enable businesses to carry out larger computational workloads.