Operations | Monitoring | ITSM | DevOps | Cloud

While network automation tools can help infrastructure and operations (I&O) teams improve their agility, lower their costs, and reduce the risk of manual errors, network management stubbornly remains a largely manual process. According to a recent Gartner report, less than 35% of enterprise network activities are automated today, forcing enterprises to run largely using a ClickOps model.

MSP Automation was the main focus of our recent webinar, which covered how Managed Service Providers can transform the scalability of their businesses by removing the headaches of manual request processing. The webinar was widely attended by enterprise IT staff too , particularly those with an ethos of delivering an experience (rather than a service level). The same principles apply, so here’s an overview of what was covered during the session.

In January of this year, NinjaOne sent a survey to all MSP customers worldwide asking them to quantify the amount of time they were saving using NinjaRMM versus their prior RMM solution. Normally we reserve our blogs for educational topics, but the results of the survey were so compelling, we had to share. We sent 11 questions ranging from how long it takes our MSP customers to implement NinjaRMM, to whether their mean time to resolution (MTTR) had been reduced.

It is commonplace for organizations to restrict their IT systems from having direct or unsolicited access to external networks or the Internet, with network proxies serving as gatekeepers between an organization’s internal infrastructure and any external network. Network proxies can provide security and infrastructure admins the ability to specify specific points of data egress from their internal networks, often referred to as an egress controller.

With so many Chaos Engineering tools available, it’s no surprise that SRE and platform leaders are doing their homework when choosing a platform to help them build and scale their Chaos Engineering programs. But like anything else you can research on the internet, there’s a lot of noise and hype that you need to wade through. Gremlin works with Reliability Engineering teams at hundreds of companies with the most sensitive workloads—and has since 2016.