View this ebook to learn how distributed traces can help reduce mean time to resolution (MTTR) in complex distributed application environments, such as cloud deployments and microservices architectures. Topics include:

• The definition of distributed tracing and a quick guide to distributed tracing terminology
• Why you need distributed tracing and what your teams can do with it
• When to use traces and how traces work
• How to gain visibility into the data pipeline
• The advantages and limitations of head-based sampling and tail-based sampling
• The importance of data analysis and visualization
• The benefits of New Relic application performance monitoring (APM) and distributed tracing