How Splunk can help: Implementing basic log analytics

As the complexity of IT environments continues to grow, IT Operations (IT Ops) teams are under increasing pressure to ensure the availability and performance of critical systems and applications. Teams need comprehensive, foundational visibility at scale, which is the ability to see and understand the relationships between different data sources and components of their IT environment. Without this visibility, they might struggle to identify the root cause of issues or understand how changes in one area impact others. They need to centralize structured and unstructured logs data for further analysis and insights. This is exactly what the Splunk platform provides ITOps teams, a log management and analytics platform to empower them to:

• Collect and consume. Eliminate data silos by getting data in regardless of source.
• Extract and index. Collect, analyze, and publish streaming data into Splunk and non-Splunk sources.
• Search, analyze, and visualize. Weave together insights across massive datasets, and visualize your data to extract value.
• Alert and respond. Detect and respond at machine speed to proactively respond to issues.

Using the Splunk platform for log analytics for troubleshooting, teams can centralize structured and unstructured log data for further analysis and insights. They can create a unified data set that helps them support operational resilience mandates and initiatives, resolve production issues faster and more proactively, and optimize resources with informed, data-driven decision making.

Watch the following demo to learn how the Splunk platform creates centralized access to your applications and services, as well as the ability to quickly troubleshoot using logs.