Easy to implement, effective data management tools that provide fast time to value are the exception rather than the rule, and top-notch support for those tools is also hard to come by. That’s why Cribl prioritizes creating products that make the lives of engineers and systems admins as easy as possible. The reviews on Gartner Peer Insights give us a glimpse into how well we’re holding up our end of the bargain.
Support Through Every Step of the Process
Cribl Stream is our vendor-agnostic observability pipeline that gives you the flexibility to collect, reduce, enrich, normalize, and route data from any source to any destination. We built it with our users in mind, to make sure it would be an easy tool for them to onboard — but we also make sure we’re there to guide users through as much of that process as they need.
Reviews like this one for Cribl Stream make us feel like we’re on the right track:
“In my experience, support during your discovery/proofing phase pre-purchase is typically top-notch but falls off post-sales. Cribl did an excellent job exceeding the bar of support set during the pre-sales cycle. Their professional services/implementation team is patient, professional, and left you feeling [like] your success is a top priority.”
Quality Support Via Slack & Cribl Curious Communities
Our Slack channel and recently relaunched Cribl Curious community are active spaces where users can get support from us — and from each other as well. Another Gartner Peer Insights review mentions how “the slack channel [is] always buzzing with help and ideas.”
Anyone is welcome to join and learn within these groups — a couple of users were pleasantly surprised at the quality of support they received:
Readily Available Training Tools and Sandboxes
The online training mentioned above is available in our sandboxes, where you can try out Stream and other tools like Cribl Edge — and more in-depth courses and certifications are available at Cribl University. Here’s how one user describes these resources:
Packs for Easy Deployment and Redeployment
To make using Stream as seamless as possible, we have several Packs available that allow customers to build and share configuration models — including pipelines, lookups, data samples, and knowledge objects — across distributed Cribl Stream deployments.
If you have worker groups that are geographically aligned but need to share pipelines, you can create a pack of the pipeline configuration and then simply deploy it in all the worker groups you need it in. Want to develop your pipeline in your dev environment, but have an automated way to deploy it in your production environment? Create the pack in dev, test it, and then deploy it in production when you’re happy with it.
The usefulness of the packs in our Packs Dispensary has come up a few times when reviewers are asked, “What do you like most about the product or service?
At Cribl, our customers are our first priority, so we’re constantly trying to improve our products and make them as valuable as possible. Join our Slack channel or become part of the Cribl Curious community and let us know how we’re doing!
Gartner Peer Insights content consists of the opinions of individual end-users based on their own experiences with the vendors listed on the platform, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product, or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
