Today’s cloud-based SaaS applications are inside a black box as far as IT teams are concerned. So how can you protect your investment and ensure a high quality of service for an IT environment you don't control?
With Catchpoint, gain the end-to-end view you need to understand your SaaS applications' health, performance, and business impact, all in one place and at lightning speed.
Deliver a service that is available and reachable
Take advantage of the largest global observability platform in the world with visibility from all sites, data centers, and remote employee locations to ensure delivery of your SaaS applications across every critical service provider.
Find problems anywhere...
Make informed decisions about SaaS deployments using multi-dimensional insights into application performance and outages, encompassing geography, network and pre-prod vs. production environments.
...and fix them fast
Diagnose issues across user connectivity, public and private networks, and application layers to reduce your Mean Time to Resolution (MTTR).
Many parts of Autodesk’s business – from customer support to operations – rely upon SaaS applications like Salesforce.com for important functions. Catchpoint’s SaaS monitoring and alerting help the IT team keep our lines of business up and running.
Prevent repeat and duplicate tickets with proactive alerting while empowering remote workers to self-remediate issues.
Diagnose and resolve SaaS issues faster with easily-shared AI-powered smartboards and visualizations that provide actionable insights.
Workforce productivity at scale
Deliver fast response times by identifying slow running components and optimizing application performance.
Measure rollout success
Compare performance pre- and post-application deployment to validate success, control impact on your workforce and provide ongoing support.
Manage vendor relationships
Proactively baseline performance from endpoint to application to so you can manage vendor relationships from vendor selection to SLA management
Make smart forecasts
Use unaggregated historical data to demonstrate success, and accurately forecast future performance trends and business outcomes.