Healthcare Provider Uncovers Hidden Performance Issues with RevealX

• More than 60 community, rehabilitation, and behavioral health hospitals and over 250 additional sites of healthcare service across 31 states
  
  

• A service level agreement that 99.9% of transactions within each five-minute reporting window will not exceed three seconds

Visibility into SSL and other encrypted traffic

• Nearly 80% of internal traffic at the healthcare provider is encrypted in order to protect PII and PHI.
  
  

• RevealX passively decrypts this traffic and allows IT to audit traffic they would otherwise be blind to.

Wide-ranging visibility delivered through a single platform

• RevealX provides insight into virtual servers through a simple software deployment on host servers.
  
  

• RevealX also provides visibility into application performance without the need for a separate application performance monitoring (APM) tool.

Performance Insights Enable Better Patient Experiences

• Insight into encrypted traffic enables detailed analysis and rapid troubleshooting in secure environments
  
  

  • The healthcare provider implemented surgery room software that communicated with an AI tool in the cloud once per minute to monitor patient vital signs, but application performance was frustratingly slow. RevealX showed that establishing and closing SSL connections between the operating room and the cloud was taking more time than sending the data itself. The healthcare provider dramatically improved performance by using a pool of SSL connections instead.
    
    

  • RevealX identified a spike in Active Directory authentication response times—from 4-5 milliseconds up to two seconds. RevealX immediately identified this spike in response times and showed it was due to a bug in recently deployed software. Once this software was turned off, response times returned to normal.
    
    

• RevealX acts as an impartial record of network and application performance
  
  

  • Granular network performance data identified a server process that caused a disruption to the environment at the top of every hour. Monitoring performance over the course of an hour missed this dip in performance, but with five-minute monitoring intervals, the slowdown was obvious.