• Rapidly add support for new devices & technologies
• Extensible to Public clouds, Containers, Devops & SaaS Services
• Role based dashboards – Exec, Admin & Operator
• Out of box integrations with ITSM tools – ServiceNow, Remedy, Jira etc
• Let’s see how cfxPulse addresses limitations and challenges with legacy monitoring tools

1. Tool Sprawl → Tool Consolidation: Availability, Faults, Performance

Customers had to run multiple tools to address Faults/Availability, Monitoring and Configuration Management, resulting in data synchronization issues and significant operational overhead
With cfxPulse enterprises can consolidate multiple tools into one platform that is highly-scalable, extensible and support granular multi-tenancy

2. No Cloud and Microservices Monitoring → Hybrid IT Monitoring

Traditional tools had limited support for modern environments like Cloud, Microservices or IoT environments
However, customers often tend to expand their IT environments and feel challenged lack of support in their monitoring tools
With cfxPulse, customers are able to monitoring a wide range of IT assets covering

3. Customer Onboarding: Slow → Rapid

Current customer onboarding is lengthy and error-prone

• Install Collector or Gateway VM
• Automatically discover devices & populate CMDB

4. Alert Fatigue → Meaningful Alerts with Intelligent Alerting

Traditional environments are often challenged with too many false alerts, primarily due to following situations:

• Unwanted alerts on CPE, mobile devices
• No easy controls to alert on selected interfaces
• Doesn’t understand topology to learn behavior
• Duplicate alerts and lack of correlation for same/similar issues
  With cfxPulse intelligent alerting, false alerts can be reduced up to 90%, using a combination of following features and capabilities
• Granular Alert tuning at various levels (customer, site, device, interface)
• Automatic tuning with topology based learning (CDP, LLDP, Application-Infra dependency etc
• )
• Eliminates duplicates with accurate re-occurrence analytics and correlation
• Incident prediction and reduction based on Machine learning

5. Hard to Support New Devices/Technologies → Full Extensibility

With cfxPulse customers and partners can easily bring in support of new technologies or vendors within few weeks as cfxPulse is built-on microservices and containers architecture

New vendors or protocols or interaction mechanisms can be supported by implementing corresponding microservice(s) that can be dropped in without disrupting production operations

In our next blog series, we will touch upon some monitoring best practices and how customers can benefit from by implementing such recommendations

Doing AIOps Right: Addressing Monitoring Gaps with Observability-in-a-Box