CloudCheckr is an AWS cost and security management platform. It monitors and analyzes AWS data sources, including AWS CloudTrail logs, AWS Config, AWS Virtual Private Cloud (VPC) flow logs, AWS CloudWatch and AWS API calls, to help users optimize AWS environment resources. CloudCheckr reached an agreement to be acquired by NetApp October 2021, and is now a NetApp brand.
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vRealize Operations
Score 8.9 out of 10
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vRealize Operations provides simplified and automated IT Operations Management across private, hybrid, and multi-cloud environments. It provides visibility into the entire tech stack, including all physical, virtual, and cloud infrastructure components.
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.
VRealize is well suited for an organization that is heavily invested in the VMware ecosystem. There are a ton of plugins and management packs that will allow you to integrate with just about every major area of your infrastructure whether its storage, backup, cloud, or monitoring related. It is less appropriate for a company that does not already have a financial licensing agreement with VMware already established as it can be very expensive if paid for a la carte.
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.
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.
The support is pretty good however some of the KB articles still reference different versions of the product so it can be hard to find answers to common questions
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.
I would not have a job without this product. It helps me become the data superstar in my organization
The only neg is that people think I can solve all their problems with vROPs. We do not have hooks into every application so we can only provide the insight we know about
The application is a storage hog, but if you want those metrics for that length of time then prepare to eat some disk space.
