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Splunk Lantern

Observability Use Cases

 

Splunk observability use cases deliver significant value by enabling organizations to proactively monitor and optimize the health, performance, and reliability of their applications and infrastructure. These use cases provide foundational visibility across complex, hybrid environments by centralizing metrics, logs, and traces, allowing teams to quickly troubleshoot and resolve issues. They incorporate AI and machine learning to detect anomalies, forecast resource utilization, and reduce noise, helping to prevent downtime and improve user experience. Observability use cases also offer business context to IT performance, enabling alignment of technical metrics with key business outcomes. Additionally, they support monitoring of emerging technologies such as AI applications and large language models, ensuring operational resilience, cost optimization, and compliance. This comprehensive observability approach empowers IT and engineering teams to shift from reactive firefighting to proactive performance management, ultimately driving digital resilience and business success. 

Explore the categories below for actionable guidance to help you deploy these use cases in your organization.