D2iQ Mesosphere vs. SUSE Linux Enterprise Server

Mesosphere is well suited for orchestrating workloads. It supports Docker as a container as well as support others. It is highly suitable for running resilient and auto recovering big data/application containers. Mesosphere has proven time and again to be production ready at a massive scale. It supports native single button/API call scale up and scale down and supports various deployment patterns like Blue-Green and others.

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We use it for every linux service we need to have running. It really works great and is easily manageable with the SUSE Manager, which helps a lot with the updating process. Although it is not stressfull on the CMD itself, it really does simplify things. Besides that, we are really happy with working with SUSE Linux Enterprise Server.

• Deploying mesosphere and friends (e.g. marathon)
• Deploying applications (e.g. Cassandra, Jenkins, Spark) on to mesosphere
• Providing value add components such as velocity, and marathon-lb

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• Consistently performs well across various CPU architectures.
• It's very well supported both by the parent company, as well as SAP and other third-party companies.
• It is upgradeable across versions. We've performed upgrades from version 10 to 11 and from 11 to 12 without any major issues.

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• Setting up is a bit of a hassle, especially ZooKeeper state management and mesos and marathon quorum.
• Occasionally, I observed some failures when deploying something onto Marathon. Logging or detailed error reporting can help.
• Stale containers and inconsistent states resultant of the cluster failure are hard to solve and need a complete system restart to get it back to normal state.

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• The support window for service packs after a new SP is released is too short.
• Community engagement is low.
• There are times when supported packages fall too far behind and create compatibility issues with applications. The Open Build Service usually provides a way around this, though.

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We've been using this OS for about 8 years in a productive environment. During this time, we have never run into any problems that stopped or impacted our production environment. We have been able to solve any problem we ran into using either common sense, suse documentation or suse support.

Support personnel are helpful and fairly fast to bring resolution to non-emergency issues. Patches are created and posted in a timely fashion. We so far have not had any major problems that needed support

Third party training was fast but mostly unnecessary as we were already Unix trained and Linux familiar

I happen to like mesosphere because it integrates well with a Jenkins based workflow, Deis is a little more Heroku like and it's not clear how to fit that model into a continuous-integration process. Kubernetes has also been criticized for being complicated.

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We went straight to SLES when we initially started migrating oracle to hana since at that time, HANA came on a pre-installed server that had to be purchased from an official vendor, and SLES was the only allowed OS. We stuck with SLES after we became certified to do our own installations because so far, SLES was a good fit for us.

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We have successfully deployed on physical servers, VMs and in cloud all over the globe from templates of our own design

• I see mesosphere as having a positive impact overall on the industry trending Docker and containers in general.
• Seeing how mesosphere helps and simplifies things for the developer and ops, it is definitely a game changer.
• Native support of on demand scaling up and down as per the need is one of the best features.

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• Compared to others, use is more stable and scalable; easy to manage.
• The administration tools are very useful in helping the staff performance.
• SLES proved to be a very extendable product, supporting all of our infrastructure.
• The major reason I chose to use the product was the extensive enterprise peripheral support.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info