Operations | Monitoring | ITSM | DevOps | Cloud

One of the primary goals of any IT team is to ensure seamless operation and consistent uptime. This is typically achieved via monitoring — whether on-premises, in an application or across a network, monitoring allows teams to respond quickly to a given issue or even understand potential problems before they arise. For today’s complex distributed systems, one of the more common monitoring methods comes in the form of cloud monitoring.

Modern retail businesses need to deliver exceptional customer experiences that are not only fast and secure but also completely frictionless. Amazon Web Services (AWS) and Splunk have come together to provide a value proposition that goes beyond what either platform can offer independently.

Observability has been tied up with causality from its origins in the mathematical realm of control theory in the early 1960s. A system (of any kind, hardware or software, natural or engineered) was deemed to be ‘observable’ if it generated self-descriptive data from which it was possible to infer how states of the system were causally related to one another.

Observability continues to prove its worth. In The State of Observability 2023, the annual research report Splunk created in partnership with the Enterprise Strategy Group, we share the characteristics that set the observability leaders (those with a mature observability practice) apart from the rest.

The game in enterprise IT is this: delivering amazing services to your customers while also reducing costs. That means the time it takes to respond to an incident is critical. Incidents can ruin service delivery and destroy your budget. Certain incidents almost surely deliver a poor customer experience. Response times, you hear? Yep, we’re talking about MTTR, but that’s not all.

If you were one of the thousands of Splunk customers who joined us this year at.conf23, you heard our CEO Gary Steele say that Splunk's mission is to help you be digitally resilient. (And don't worry if you couldn't join us, because you can catch the keynote replays.) But what is digital resilience and how do you attain it?

In our service-driven world, businesses must provide the best user experience possible. Great service helps you retain long-term customers while also growing your customer base — to keep tabs on service performance, a few key metrics and signals come into play.

Adaptive thresholding is a key capability in Splunk IT Service Intelligence (ITSI) that enables customers to dynamically monitor the status of their key performance indicators (KPIs) and derive meaningful service insights and alerts.

You may be familiar with manipulating tokens via `eval` or `condition`, or showing and hiding panels via `depends` in Classic (SimpleXML) dashboards, and wondering how to do that in Dashboard Studio. In this blog post, we'll break down how to accomplish these use cases in Dashboard Studio, using the same examples that were shown at.conf23.

If you mention 'log data' at a crowded business event, you'll quickly be able to tell who's in IT and who isn't. For the average person, log data is about as thrilling as a dental appointment or reconciling a years-old bank account. At the mere mention of log data, their eyes glaze over as they search for an escape from the conversation. Conversely, IT professionals' eyes light up and they become animated when the topic of log data arises.