Operations | Monitoring | ITSM | DevOps | Cloud

In today’s fiercely competitive world, all businesses strive to boost productivity while maintaining minimal overhead expenses and strong margins. In order to consciously, effectively, and affordably scale up and down with demand to supply the storage and processing capacity they need on a global scale, cloud architecture and Software-as-a-Service (SaaS) solutions have evolved.

DevOps and IT Operation teams employ the incident management process to respond to an unanticipated event or service outage and return the service to operational status. In the ITIL framework, it is a mechanism that links end-users and the IT department for more effective incident response. A robust incident management system in any company will allow the employee to raise a ticket detailing the issue he/she is facing.

Due to the increasing influence of businesses on APIs, the volume of APIs on which they rely, and the administrative challenges that APIs pose, API administration has gained popularity. For the most part, other apps don’t have the exact requirements or construction and management processes as APIs. Vital documentation, higher security standards, extensive testing, frequent versioning, and excellent reliability are all requirements for using APIs properly.

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.

Over the last few years, containers have been one of the hottest topics when it comes to radically changing the way we develop, operate, and maintain our applications. And it’s no coincidence the rise of containers has occurred right alongside the rise of the cloud and the DevOps movement. This shift in development and operations has brought new challenges as container technologies have evolved.

Data privacy and security are a top concern for most organizations. It’s easy to see why given changes over the past few years. These types of protections can be great for us as consumers. However, they also make it extremely difficult to create realistic production simulations in pre-production. It’s hard to rapidly develop new applications if you can’t iterate against realistic data.

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.