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use case

Isolate problems in cloud-native environments

Finally, one engineer has context to solve problems across the entire system. Cut through the complexity of cloud-native environments to troubleshoot issues faster.


Increasing scale without increasing problems

Scoping and identifying problems in cloud-native environments often requires sifting through an explosion of dependencies from microservices, Kubernetes, APIs and serverless functions. Multiple monitoring tools, sampled data and disjointed UIs can slow troubleshooting.

The Solution

Super-human context for your system

reduce-time-to-detect reduce-time-to-detect

End-to-end visibility, in real time

View an entire production environment in real time, from cloud infrastructure, monoliths and microservices — and across web and mobile.

Predictive analytics Predictive analytics

Find the “why” faster in microservices

AI helps to troubleshoot quicker, pointing you to the issues that impact customers and services the most.

Code deployment visibility Code deployment visibility

Identify the line of code responsible

Understand how your code impacts memory and resources. Splunk links code to every trace from every service, with minimal overhead.


Troubleshoot faster

Easily investigate any transaction, from your web and mobile experience to backend services. Troubleshoot at every step without having to reproduce the issue, and understand which problems to fix first.

Splunk Observability helps us see clearly into our complex environment, allowing us to act based on data so we can deliver on our mission to help customers build better products, faster.

Glenn Trattner, Chief Operating Officer, Quantum Metric

Rely on intelligent tagging and analysis

View all tags from your business, infrastructure and applications in one place to easily compare new trends in latency or errors to critical service components.

Splunk Observability gave Rappi the ability to prioritize putting the fire out by focusing on the right alerts. Since technology-related alerts, business-related alerts, operations-related etc. alerts all live in Splunk Observability, we are able to really pinpoint where the problem is and to concentrate on fixing it faster.

Alejandro Comisario, Executive Vice President of Engineering, Rappi

AI to isolate problems faster

Instead of manually digging through individual dashboards, isolate problems more efficiently with AI-directed troubleshooting that automatically identifies the sources of latency and errors impacting your services and customers the most.

Splunk captures all the logs, metrics and traces in a way that allows us to understand any event across our platform, so we can ask questions and get answers.

Matt Coddington, Senior Director of DevOps,

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See what Splunk can do for you

Unlock faster innovation and deliver exceptional customer experiences.