Log Analytics for IT Troubleshooting

IT operations (ITOps) teams are dealing with constantly changing and increasingly complex technical landscapes due to the acceleration of cloud transformation journeys. IT is responsible for monitoring, managing, and troubleshooting a rapidly evolving and complex environment; the hundreds of applications, servers, and virtual machines the average enterprise runs produces constant streams of data in disparate forms, and IT teams must find a way to consolidate and monitor them all. Organizations grapple with too many disparate systems and tools that create data silos, each monitoring a layer of the stack, but failing to see the system as a whole which inhibits the holistic visibility required to detect and resolve an incident, often swiveling between disparate views to conduct their analysis. In addition, when other tools are implemented, logs often roll off and expire prior to investigation, resulting in incomplete data.

When data isn’t shared between silos, complex interactions between infrastructure and app components go unnoticed. Utilizing disparate tools hinders ITOps teams’ ability to determine probable root causes of incidents. This leads to slow triage, redundant problems, and poor service experience.

The complexity and challenges that ITOps teams face stand in the way of utilizing a unified data set to achieve outcomes. ITOps teams need to support operational resilience mandates and initiatives, resolve production issues faster and more proactively, and optimize resources with informed, data-driven decision making.  To start this journey, they need to centralize structured and unstructured logs data for further analysis and insights. This is exactly what Splunk Enterprise and Splunk Cloud Platform provide ITOps teams, a log management and analytics platform. Splunk’s Unified Security and Observability Platform, enables organizations so they can unlock innovation, enhance security, and drive business resilience.