Dennis Drogseth, Vice President, EMA
Rich Lane, Senior Analyst, Forrester
Take your IT to whole new level by building new data-driven capabilities and
cross-leveraging
intelligence across ITOps, ITSM and IT planning, with help of Advanced Analytics, AI and Machine Learning.
Get more out of your existing tools and IT environment. Collect, Ingest and Integrate with
Any Tool, Any Data Source, Any Environment.
Work on alerts that
matter most, take action
without the noise
Diagnose and Resolve
Incidents Faster Than Ever
Predict IT Problems,
Act Before Impact!
360-degree visbility, lifecycle insights, optimize IT spend & manage risks
Ingest logs, events and traces from any monitoring tool (APM, ITIM, Cloud, Log etc.) to perform high-scale event correlation from multiple data sources to reduce alert noise and bring actionability to incidents.
Triage, diagnose and resolve incidents swiftly by automatically resolving and extrapolating key impacted services, retrieving relevant metrics & logs and highlighting anomalies, knowledge mining from vendor portals, gleaning insights from ML generated similar incidents, automating diagnosis/resolution with tools and workflows.
Proactively watch critical IT services or stacks to predict or prevent IT failures, by continously observing leading indicators, anomalies, correlated behaviors or user specified outcomes. Stacks or services are automatically learned by system, but can also be feteched from CMDB or manually defined by administrator.
Gain real-time 360-degree IT asset visibility, utilization and dependencies, along with key insights about upcoming lifecycle events (like end of sale/support/life), supportability risks due to missing or out-of-contract assets, identify non-compliant assets and measure/track enterprise specific plan of record or compliance policies.
Problem: Leading MSP is facing operational challenges in maintaining and evolving 4 legacy monitoring tools.
Solution: MSP was able to replace legacy tools and consolidate into one modern unified monitoring platform.
Problem: Customer‘s ops team was constantly bogged down by 1000+ incidents per week, most of which were not actionable and duplicates of same issue.
Solution: cfxPulse’s Intelligent Alerting significantly reduced false alarms by using a combination of fine grained alert policy, network learning and incident enrichment/prediction using machine learning.
Problem: A US based service provider was looking for ways to help customers use what they bought and realize the outcomes and value they expected from the software spend.
Solution: With cfxRealize, the Service Provider was able to gain real-time visibility into all phases of lifecycle, automate subscription management, and provide analytics to uncover opportunities to optimize software spend .
Problem: Leading Oil and Gas company has specific network design and firewall implementation requirements that they want to bring to cloud.
Solution: Dimensions for Cloud captured network, firewall controls as Outcomes and provided deep insights along with recommendations
Problem: Customer needs to comply with various best practices and compliance regulations like PCI, and have some automated remediations in place.
Solution: Identify data exposure scenarios, usage of unsecure protocols, adherence to AWS best practices, PCI and CIS benchmark and automatic remediation by enabling workflows and triggering Lambda functions
Problem: Have to navigate between several tools/dashboards to know and report on application health and performance
Solution: Consolidated data from multiple tools and fill identified gaps with CloudFabrix products making it a single pane view and reporting console. Customer has also benefited from automating QBR/MBR reports required by the management as all the information is now available at one place.
Problem: Customer satisfaction issues as problems are discovered only after receiving user complaints.
Solution: With continuous governance of complete stack and critical batch processes, operations team are alerted even before failures (predicted) occur and corrective actions initiated reducing customer facing incidents. Equipped with improved visibility and predictive insights, customer is also able to scale the operations with cost efficiency.
