Customer Story - GCISD
Customer Story: Industry:School Districts Challenge With an average of 40,000 devices online in the district at any given time, GCISD needed to reduce tool sprawl and find an observability platform that provided full visibility, robust alerting, and forecasting to solve problems before they impacted teachers and students. Solution LogicMonitor’s single pane of glass and robust dashboards provided visibility across their entire infrastructure within one platform. Features like Automatic Discovery and intelligent alerting saved the team valuable time, while historical data and AI predictions helped anticipate future problems. Business Outcomes Reduced the overall number of help desk tickets with proactive monitoring Instant alerting allowed for minimal downtime after the district experienced an outage Single source of truth increased visibility and insights across multiple teams As we moved through the pandemic and the complete school system went online, we realized that even a second of downtime or service interruption would severely impact instruction. Having a tool like LogicMonitor is so important to ensure that our technology is supporting our staff and students 24/7” – Kyle Berger, Chief Technology Officer Interested in sharing a story about your infrastructure monitoring, processes improvements, or any other successes since implementing LogicMonitor? We’d love to hear it! Feel free to comment below or reach out to us atinnercircle@logicmonitor.comto share your voice.71Views21likes1CommentWhat is Forecasting
Hi, I am very new to this topic "Forecasting". Recently when I go through Table Widget, I have noticed a feature called Forecasting and which contain twooptions to choose the method of providing Forecasting Reports. Further researching on this, I come to know that the Forecasting is done based on some algorithms from the LogicMonitor Documents. But it was not clear that how the Forecasting is made based on the Algorithm, what does that Algorithm depicts, howdoes the couple of forecasting options workand how confident the predicted data would be. I would like to know all these information to use the featurebut no where I can find the information neither in the documentation nor in the forum. Could anyone please help me on this.4Views0likes5CommentsPeriodic Data Forecasting
When attempting to forecast data that could be consider periodic we find the builtin forecasting falls a bit short. It's great for linear data, but with cycles like the one in the screenshot below, the data isn't all that useful. Is there anything we could be doing differently to better forecast for this environment? The attached graph below totals active Citrix sessions, y axis scale - one thousand sessions.2Views0likes0Comments