Have you ever patched your servers using scripts only to realize that you missed another script for pre-update configuration compliance that had to run beforehand? Most IT organizations start with scripting simple, repetitive tasks in either Python, PowerShell, or Perl to help provide the quickest ROI. Common pain points solved for are creating user accounts, installing patches, software, and provisioning resources such as virtual machines (VMs), etc.

In a world where everyone across the enterprise requires the network, the Infrastructure & Operations (I&O) team has a lot on their plate. Business units, departments, and even individual employees often need to spin up new network resources in order to do their work, take advantage of new business opportunities, and focus on innovation. As the gatekeepers of the network, it’s up to the I&O team to facilitate these connections.

Because today’s businesses rely on their network like never before, the network needs to be available at all times to provide the connectivity required by remote workers, cloud applications, and automated systems. As the network has become critical to everyday operations, network troubleshooting has evolved from being a mundane task to one of the core functions of the Infrastructure & Operations (I&O) department.

History will look back on this period of the 21st century as a pioneering, resilient, and excitingly disruptive time. We’re deep into a dynamic era as the cloud, Artificial Intelligence (AI), IT automation, and digital transformation converge to drive challenges and dazzling opportunities. The sheer force and potential of AI—coupled with unprecedented security risks and ongoing infrastructure advances will shape enterprises for years to come.

Organizations today are under pressure to stay ahead and maintain IT applications and infrastructure optimally. That means their IT teams are tasked to make sure that functions move along smoothly while minimizing downtime. To keep the lights on, enterprises add whatever domain-specific tools they need. However, these tools are often reactive, and not nearly robust enough to handle complex application topologies.