Grafana OnCall vs. SuperOps.ai

Setting up the Grafana OnCall configuration is from the UI is a little bit complex, you need to create an integration, from there an escalation chain ann after that you need to change the template for the notificaion. Also the documentation is not entirely clear, particularly the section on provisioning with Terraform, because production stack is provisioned with infra structure as code.

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SuperOps.ai is positioned to be and continues to move itself in ways to be the best MSP platform available. Their PSA is so easy to work with it could easily reach past the IT industry as a service delivery platform for nearly any other vertical utilizing service professionals. SuperOps.ai doesn't work well for companies requiring complex tax assessment and calculations like telcos. They are slated to address this in the near future. (Written in 07/2024)

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• Interface and information visualization
• Escalations process with useful IF, ELSE alerting logic
• Simple integration with wide list of data sources and using of webhooks for non-supported sources.

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• RMM automations
• Innovative multitasking via tab layout
• Scripting outputs and feedback
• Pace of development
• Accessibility of staff, support, and community
• Contract mangement

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• it's a little complex to set up
• landline phone numbers cannot be validated, only mobile numbers
• Documentation is not entirely clear, particularly the section on provisioning with Terraform.

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• Unreliable uptime – Frequent outages disrupt operations.
• Poor support – Slow response times and unhelpful assistance.
• Limited integrations – Lacks compatibility with key third-party tools.
• Buggy interface – Glitches make navigation frustrating and inefficient.
• Downtime all the time

setting up the Grafana OnCall functionality is complex but if you setup this and you know how to setup then the rest is easy. IAC is provided with terraform The UI for the alert groups shows the alerts in one view and from there you can go to the relevant alert trigger to solve the problems.

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In my opinion, SuperOps.ai is unreliable and inefficient. I feel frequent downtime makes it impossible to access critical data, and when issues arise, support is slow and unhelpful. In our case, we repeatedly requested access to backups, but they failed to provide a solution, leaving our business paralyzed during outages. Instead of streamlining operations, I believe it created more problems and wasted our time.

Unlike Grafana OnCall tool Splunk On-Call solution looks more complicated and noticeably inferior in the visualization of the information presented (UI is not user friendly). Alerts re-route process looks totally illogical and you need some time to get with it. However Splunk On-Call looks more featurable out-of-box and has iOS and Android apps while Grafana OnCall provides a general dashboard apps only.

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Independently Invited by TrustRadius

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We haven't seen this pace of development or support from any other player in the market both newer entrants and veteran competitors alike

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• Reducing services downtime.
• Better users loyalty as a result of improving of intra-departments collaboration.
• Reducing the load of Service Desk.

Incentivized

Independently Invited by TrustRadius

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• Wasted time and resources – Constant troubleshooting reduced productivity.
• Loss of revenue – Downtime and system failures disrupted client services.
• Increased operational costs – Had to invest in alternative solutions due to platform issues.
• Negative client impact – Poor performance damaged trust and credibility with customers.