Spot by NetApp, now including CloudCheckr, helps companies to run their cloud investments. The Spot product suite uses machine learning and analytics to automate and optimize cloud infrastructure, to ensure that workloads and applications always have the best possible infrastructure that is available, scalable and available at the lowest possible cost. Spot’s technology provides insights into cloud costs, recommendations for how to optimize utilization and costs, and automation to implement…
N/A
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.
CloudCheckr is fantastic for those that are purely in the Cloud as it provides everything you need under one roof for a comprehensive configuration and usage monitoring tool. It has SysLog capabilities though so you can farm out the alerts into a SIEM or other log management system, so hybrid environments could also benefit from its use.
[...] 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.
Detailed Best Practices. It's important to align your cloud to industry best practices for security and cost—it just performs better if it's used the way it's meant to be used. AWS is very flexible, and that's great when you have special requirements, but you've got to at least know when you're using something in a non-standard way so you can think through the implications.
Cost Reduction. Some recommendations are almost impossible to make at least for our setup, but many, many others are easy. We only have to log into CloudCheckr every few months and make a few changes for it to more than pay for itself.
Right-Sizing. This is related to the other points, but for some reason is separate from their cost module. The metrics it's able to pull only tell half the story, so it's good to verify it's sizing recommendations before making changes. But it does show you what instances to focus on first, and even if you choose a slightly different size to move it to, it does clearly indicate it's current size isn't appropriate. And this works both ways, if the size is too big, you can save some cash by making it smaller, but if it's too small, you want to be sure to scale up before you run into performance problems.
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.
CloudCheckr features have a tendency to break without warning. Functionality in place for months could suddenly stop working.
CloudCheckr support often delays work on support tickets for fixing broken application functionality.
The CloudCheckr platform and documentation website often crash or experience performance degradation.
CloudCheckr cost reporting is often impacted by faulty code or broken report functionality. This can contribute to a low level of confidence in CloudCheckr's ability to deliver accurate cost reporting.
Overall, CloudCheckr covers all our AWS monitoring needs and great integration through SysLog into our SIEM to capture alerts for investigation. The reports are great and allow for an easy daily review. Small improvements could be made to the interface and better filtering in places would be good. Great product and the price is fair.
There are a few products out there that'll do an aspect or two of what CloudCheckr does, but I honestly couldn't find anything nearly as comprehensive as CloudCheckr.
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.
