Cribl Stream vs. Red Hat OpenShift Virtualization

Advantages - if you'd like to re-shape/manipulate data, Cribl LogStream comes to help! - If you'd like to enrich data within data pipeline without any struggle, Cribl LogStream is the one! - If you'd like to reduce data size, cribl is the one! Disadvantages - there is ML/AI module for streaming data. - There is no sigma integration for security use cases.

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I believe that Red Hat OpenShift Virtualization is a very promising option for hypervisor at the moment and it seems to be improving quickly. Red Hat is doing a great job working with customers on feature set requests and improving UX and stability

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• data manipulation
• Data enrichment
• re-shape your data from any format to any
• onboard any data from anywhere

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• It's a one pane of glass, so when we have Rev only it was a hypervisor for VMs. OpenShift, you can put Ansible in it, you can hook into satellite, it can do with OpenShift AI. You can do AI models and stuff like that. So I think it's more like a Swiss Army knife rather than a fire extinguisher.

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• Implementation of sigma use cases within data pipeline
• Machine learning features
• creating pipeline

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• Because of how different virtualization is done, there is a learning curve to overcome when switching to it from another hypervisor.
• Documentation needs to be improved. Just finding the details to set it up is a burden that will keep some people using it.

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OpenShift is really easy of use through its management console. OpenShift gives a very large flexibility through many inbuilt functionalities, all gathered in the same place (it's a very convenient tool to learn DevOps technics hands on) OpenShift is an ideal integrated development / deployment platform for containers

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The product is maturing at an amazing rate, but there is still work to do to reach existing VMware customers. Most notably are the HA/DR features, and backup/recovery. We need to have faster backup capabilities, and I know this is in the works with change block tracking - but it is a challenge today. Some users are also scared by the number of volumes created by Red Hat OpenShift Virtualization, as opposed to the number of VMFS volumes they are used to.

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I've not noticed any significant performance impacts with Red Hat OpenShift. I think the development team has put a lot of effort into ensuring that it is performant. And so performance typically is not a major concern for us with Red Hat OpenShift.

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Speedy support

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The learning curve is quite high but worth it.

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-Cribl LogStream has a huge growing community and plugin play packs that help you to onboard and reduce your size within 5 min. -Friendly user interface -The broker feature saves your life against regulations. - field extraction's never been so easy before. - multiple sources and destinations feature to give you an easy playground.

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Red Hat OpenShift is a more complete and integrated platform, with lots of out of the box components that the other platforms don't have, and customers need to stack lots of other software in order to have monitoring, cost management, log management, user policies governance, and more. Another great benefit Red Hat OpenShift delivers ir the supported operators.

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• with reshaping and manipulation our indexing rate decrease over %40
• Data onboarding SLAs is decrease almost over %50

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• The TCO of OpenShift is lower than with VMware
• Implementing VMware has allowed us to drop third party solutions that were effectively required to have a proper vmware deployment
• Licensing over has become less complicated as we also no longer need separate RHEL licesnes

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