Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$0
Up to 5 hosts
ServiceNow IT Operations Management
Score 8.7 out of 10
N/A
Built on the Now Platform, the ServiceNow IT Operations Management bundle is designed to help users gain visibility across infrastructure and apps, maintain service health, and optimize cloud delivery and spend.
DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.
[...] is changing the way our internal support staff (not only in the IT field) work and enhancing the experience for employees seeking IT assistance through ServiceNow IT Operation Management. We have moved the usual and personalized IT tools and functions from [...] service-desk to ServiceNow IT Operations Management. These advancements have sparked innovation in various aspects of our IT support management, such as enhancing accessibility, managing incidents, optimizing IT workflows and procedures, enforcing service level agreements (SLAs), incorporating AI/ML technology, utilizing virtual agents, streamlining automation, and sharing knowledge throughout the support team via data visualization, monitoring, and reporting. In brief, our collaboration with ServiceNow IT Operations Management is enhancing the effectiveness of our internal system and benefiting our shared clients.
APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
In platform expertise and workflows, so we don't allows have to build everything from scratch.
Tight integration within ServiceNow (especially ITSM) but also brings information and data in from other sources, so I don't feel we are stuck in a proprietary hole.
Increased investment in AIOps and automation
Relatively fast time to value with out-of-the-box capabilities and automation.
We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly
Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed
I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time.
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.
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.
We wanted it integrated with ITSM and ITBM. Prioir to that we used JIRA for agile development and SysAid for ticketing. So we started with converting SysAid. We went live with Vanilla ITSM. Then we could have a basis for ITOM. However, we needed to migrated from JIRA to ITSM. Only then we felt mature enough to examine ITOM, which required quite a lot of resources. You need networking, motoring, IT and Cyber security team members in your project!!
Increased business value: We have managed to eliminate custom solutions and the accompanying infrastructure, lowering the overall cost and effort of managing legacy solutions. Centralizing our service-desk operations within ServiceNow IT Operations Management streamlines licensing and maintenance for increased simplicity and cost savings.
Reduced service-desk management effort: The automation features we have put in place have decreased the amount of work our helpdesk agents need to do, especially for boring or repetitive tasks. AI and machine-learning capabilities have enhanced inherent decision-making, minimized the risk of human error, and allowed our helpdesk agents to dedicate their time to tasks that require their expertise. For instance, our automation accurately routes incidents 80 percent of the time, resulting in significant time and effort saved.
Reduced mean time to resolution: As we incorporate new features and update the agent support experience, we are consistently seeing a decrease in resolving incidents. In our pilot project, ServiceNow IT Operations Management Predictive Intelligence lowered MTTR by over 10 percent, on average. Using this data, we are expanding the use of Predictive Intelligence across a larger scope for Global Helpdesk.
