![]() Use the Splunk ITSI Episode Review to vie Aggregated Alerts Splunk ITSI’s Glass Table is a powerful feature because I have built views for customers in diverse industries like finance and retail resulting in upper management having a much better view into the health of the daily processes that enable their business. This is very valuable because they convey the status of the client's services in a way that non-technical users will understand. The views below are common examples of Glass Tables. It is here where we can invite our inner artist to build views into the services. These are next-gen dashboards that allow us to communicate the services’ health to clients in a way they understand. ![]() “What happens when Splunk ITSI detects a service in poor health?” Foremost, ITSI provides excellent visualization capabilities via Glass Tables. Now that we’ve explored my two favorite use cases let me show the features that Splunk ITSI uses to deliver on both. This shift also leads to reducing detection time (MTTD) and repair time (MTTR) by giving you a head start into the troubleshooting process as you now have visibility into the multiple layers that make up a top-level service. This is what will allow you to switch to a service-based monitoring strategy that will follow the client’s needs more closely. To summarize both use cases, Splunk ITSI makes it easy to redefine your infrastructure in terms of services that are important to clients and use event analytics to increase visibility. This allows you to quickly identify where issues that are affecting top level deliverables are rooted.Īpplying Machine Learning Algorithms in Splunk ITSI Splunk ITSI’ service analyzer below shows an example of a complete Service Model yielding insights into the status of your services. In Spunk ITSI a service is comprised of Key Performance Indicators (KPI’s) and dependencies to other services. ![]() To put it another way, Splunk ITSI aims for context into valuable services, not breadth of coverage for its own sake. This paradigm shift is at the core in how Splunk ITSI approaches monitoring via a Top-Down approach versus the traditional IT infrastructure centric Bottom-Up mindset. They ask, "Can I submit expenses or not?" just as you would if the water or electricity supply that you subscribe to for your home were to have an issue. They are not interested in the details of individual servers, databases, or devices. IT customers use these services and are only interested in being able to use them. “Hey, but what’s a service, El Fuego?” First and foremost, Splunk ITSI borrows the concept of a service from the ITIL Framework: "A service is a means of delivering value to customers by facilitating outcomes customers want to achieve without the ownership of specific costs and risks"Īn example of an IT service could be expense submissions in SAP. Splunk ITSI goes for the high-quality, low-noise blend via its two main cases: Services Insights and Event analytics. What I'm saying is that traditional IT monitoring is high on quantity but low on quality. If you miss it, you run the very probable risk of using Splunk ITSI like a traditional monitoring tool and falling prey to the two demons of IT monitoring: Alert fatigue and Non-contextual alerts. But for Splunk ITSI to deliver us out of the sea of alerts that traditional IT monitoring put us in, we’ll need to understand how that paradigm works in your favor. While monitoring tools have been going low for decades, Splunk ITSI shoots high. Splunk ITSI is a paradigm shift in the boring world of IT monitoring. Splunk ITSI: It is Quality Alerts not Quantity of Alerts Why is this a huge issue, El Fuego? Let me bring it back to the basics and start at what Splunk ITSI is and then what it is not before I explain why this is a huge issue. ![]() How? By stooping down to infrastructure and calling it a day. As a senior Splunk ITSI veteran I can tell you that I’ve seen my share of implementations that miss the mark altogether. ![]()
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