Unified monitoring solution regardless of where your workloads are!
Updated May 08, 2019
Unified monitoring solution regardless of where your workloads are!
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with ScienceLogic
Our company is into the outsourcing of infrastructure services to customers across the globe. I, being the solution architect, gets to design the solution to meet the customer requirements and propose third-party vendor tools and services to give an end-to-end package to our valuable customers.
- Ability to handle all workloads including private, public and hybrid cloud.
- One platform to handle private and public cloud workloads.
- Monitor storage and CPU utilization.
- Unified monitoring solution for both the application and infrastructure level.
- Less accurate documentation on the solutions available.
- Better implementation plan required.
- Better visibility to SaaS platform solutions required.
- Better unified solutions.
- A single hub for monitoring multiple layers of the platform.
- Having our own delivery support model integrated with Sciencelogic giving their pay per use model.
Yes - Always with the SolarWinds tool solution, there is no support for public cloud workloads in Azure, AWS or Google Cloud.
As said earlier, we have partnered with Sciencelogic and have developed our own delivery model to give customers a better user experience and a cost-effective solution.
As said earlier, we have partnered with Sciencelogic and have developed our own delivery model to give customers a better user experience and a cost-effective solution.
As said earlier, we have partnered with Sciencelogic and have developed our own delivery model to give customers a better user experience and cost-effective solution.
- As said earlier, we have partnered with Sciencelogic and have developed our own delivery model to give customers a better user experience and a cost effective solution.
- Better quotations made available with Sciencelogic.
- Better discounts on BOM.
Unified monitoring solution for all workloads.