Cloud Native APM at Scale
Application environments are changing. Microservices deployed in containers across dynamic cloud infrastructure have created a transient, distributed environment at a scale we have never seen before. As a result, the old ways of scaling Application Performance Monitoring (APM)—sampled transactions, incomplete traces, low-resolution metrics—are no longer working. The detail that matters is lost and this is becoming painfully obvious as the environment grows more complex and the APM tools in place fail to diagnose why crucial business applications are still slow or stalling.
Riverbed's big data technology for APM gives you complete insight, with full diagnostic detail for every transaction, at any scale. AppInternals captures all transactions, and their associated end user, trace, log, network and payload data, down to deep levels of user code, along with fine-grained infrastructure metrics—even in large-scale overhead-sensitive enterprise production environments—to deliver a unified monitoring solution fully adapted to today’s hyperscale cloud-native applications. And its powerful analytics extract business-relevant AIOps insight so you never miss a performance problem.
With SteelCentral AppInternals, you will be able to:
• Speed mean time to resolution and mitigate the business impact of performance issues
• Release high-quality applications and accelerate the DevOps to production lifecycle
• Improve business and IT staff productivity