Every user, application, microservice, and container
The pressure from digital transformation initiatives has fundamentally shifted how companies develop, implement, and manage application environments. Today’s applications are no longer monolithic; they are cloud-native: portable, containerized, and highly distributed.
Unfortunately, traditional microservices and containers make identifying and resolving application performance problems more difficult than ever. How do you diagnose problems when the pace of change has increased exponentially? Traditional APM tools fall short. They rely on synthetic monitoring or sampled data which can lead to blind spots and costly delays in problem identification and resolution.
Riverbed meets the needs of modern applications with solutions that merge end-user experience management with APM to focus on what matters most: your customers, partners, and employees. We support the dynamic monitoring needs of containers and microservices by applying artificial intelligence (AI) to APM big data so you have all the data at your fingertips to find and fix complex problems quickly.
Delight Your Users with Application Performance Monitoring
Four Gaps Your APM Tool Can’t Cover
(But Needs To)
Find and fix faster using APM big data and artificial intelligence
Identifying the root cause of application performance issues can be challenging if you don’t have all of the data or can’t map the entire transaction. By capturing every transaction from every user and every device, you have all the data you need at your fingertips to identify and resolve performance problems in your applications, microservices and containers.
With Riverbed’s APM solution, you can use big data and artificial intelligence (AI) to reduce mean time to repair (MTTR). Our architecture scales to support petabytes of performance data so you can collect and analyze all your data rather than relying on data sampling.
Boost DevOps productivity
Application or product owners normally have only a limited understanding of how new features or releases are performing. And, all too frequently, bottlenecks still occur in development and testing, causing crippling performance in production.
With Riverbed, you can quickly detect code-level issues and ensure apps are release ready using end-user experience monitoring. Containerized apps can be dynamically instrumented to ensure the performance of containers and microservices. Best of all, you can gain insight into top or low performing features to better align DevOps efforts with business priorities.
Shift from reactive to proactive mode to optimize business outcomes
It’s often said that users are your most expensive monitoring tool. Even a single outage or slowdown can cause customer attrition and by the time they complain, it’s too late. End-user experience monitoring can provide insight into performance slowdowns even before users complain.
We integrate end-user experience monitoring with our APM solution so you can automatically baseline performance, discover patterns, and detect anomalies before the business is impacted. We quantify the potential financial impact of performance problems so you can prioritize your efforts more effectively and ultimately improve business outcomes.
This [SteelCentral] has had a huge impact on productivity and end user experience. Our clients have noticed the difference in performance.