Intelligent Application and Service Monitoring
Full-Stack Monitoring + AIOps
Optimize application performance in any environment — from simple infrastructures to the most complex, dynamic multicloud IT deployments.
Full-Stack Monitoring + AIOps
Optimize application performance in any environment — from simple infrastructures to the most complex, dynamic multicloud IT deployments.
High Cardinality
Collect and analyze metrics, streaming data, dependency data, events, logs and agent data across complex, modern environments.
Machine Learning
Transform machine learning (ML) accuracy and effectiveness with real-time, dynamic models of end-to-end IT services and applications.
Ludicrous Scale
Grow at warp speed with a serverless, elastic cloud-based architecture, real-time data streaming, and ML-based analytics.
See firsthand what Zenoss Cloud can do for your enterprise.
ANOMALY DETECTION
Get immediate root-cause analysis via model-informed machine learning.
TIMELINE
See performance status and state of all systems and applications at any point in time.
RELATED ENTITIES
Leverage real-time models to surface and understand all dependencies.
VOTING
Raise visibility of key events dynamically with supervised machine learning.
Get a customized demo today.
"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:
- Real-time metrics
- Dependency data
- Streaming data
- Event data
- Log data
- Agent data
- Application performance data
- Network performance data
- Real-time metrics
- Dependency data
- Streaming data
- Event data
- Log data
- Agent data
- Application performance data
- Network performance data
"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."
-451 Research
