Datadog vs. Splunk On-Call

Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.

Incentivized

I recommend Splunk on-call is more suited where there are high incident queues; multiple teams need to be involved in handling a P1 severity issue. Multiple levels of escalation are needed environment where automated action is required. I recommend the solution for large-scale & medium-scale business units. For small-scale business units, I see the functional value is less.

Incentivized

• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

Incentivized

• Easily assign work/tickets between multiple users
• Supports a wide variety of software integrations
• Easy to manage scheduling tool
• As part of the Splunk toolset, provides detailed levels of data analysis at our engineers fingertips

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• The user interface can be furthe improved
• Licensing needs to be simplified and packaged as a bundle with other Splunk product like Enterprise Security
• Customer outreach can be further enhanced

Incentivized

It was a good solution with a good comprimise prize/features for our use cases

Incentivized

There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.

Incentivized

Not a lot of love given to VO since the acquisition by Splunk from my POV

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

VictorOps support has proven excellent for us. Because it is such a widely used tool, there is a lot of documentation on usage, and a large community of users to lean on. Also, many engineers have had experience working with VictorOps already, and the tool is so easy to setup / manage that much support isn't really necessary.

Incentivized

It was a good solution with a good comprimise prize/features for our use cases

Incentivized

We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.

Incentivized

Splunk On-Call integrates better with our Splunk Cybersecurity and Reporting products due to the same family tree of the same eco system. We were previously using built-in on-call from individual applications and while adequate, they were difficult to manage and support SLA varied greatly across different applications. In addition we also used xMatters which did not integrate well with SAP products nor Citrix products so we were still using more than a single on-call product which was solved by implementing Splunk On-Call

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• It runs our on call rotation so it makes it easy for us.
• It integrates with Slack so it makes it easy for us to manage through Slack.

Incentivized