"Zenoss Cloud is a huge advancement in empowering companies like ours as we undertake digital transformation initiatives that are critical for the future of our company."
-Presidio
IMPROVE MEAN TIME TO RESOLUTION (MTTR)
REDUCE ALERT NOISE AND EVENT STORMS
INCREASE ITOM SYSTEM AUTOMATION
Immediate Root-Cause Analysis
Use real-time modeling to gain awareness of end-to-end infrastructure-related risks
Isolate problems immediately to improve MTTR and eliminate service outage losses
Gain total visibility of overall IT service health with intelligent dashboards and reports
Collaborate across teams to coordinate investigation and problem-solving
Prevention of IT Disruptions
Leverage high-cardinality data to ensure continuous reliability of ephemeral systems
Leverage AI and machine learning for predictive analytics
Evolve from availability and performance to capacity and optimization
Eliminate risk associated with digital transformation
Optimized Application Performance
View performance and anomalies across all on-premises and cloud infrastructures
Get AIOps insights to predict service health and performance issues
Apply consistent monitoring policies across all cloud and on-premises systems
Deliver management as a service for DevOps teams
Intelligent Automation
Share key data and insights with other ITOM tools to automate a rapid resolution
Future-proof your monitoring platform to run at any scale and accelerate digital transformation
Enable agile IT while eliminating employee fatigue by reducing alerts by 99.9975%
Zenoss Named a Leader in
The Forrester Wave™: Intelligent Application and Service Monitoring, Q2 2019
Ultimate Cardinality - Complete Visibility and Context
Modern infrastructures can generate millions of high-cardinality data points every day — context surrounding every IT metric that can be expensive to store and analyze. Zenoss lets you reap the benefits of the complete context offered by high-cardinality data.
Leverage model-informed machine learning for the most advanced AIOps capabilities applied to:
"The ability to capture and contextualize machine data is becoming increasingly crucial to identifying and solving performance problems. This capability only grows in importance for businesses that need to manage the insane complexity of modern IT environments."