Elastic Observability vs. HPE OneView

We can use this Elastic Observability in our business problems such as Creating internal/operational efficiencies issues, customer relations/service, and business process outcomes issues. This product has a lot of features for the above problems. But this product may be having some issues when charting purposes. But it can adjust for that purpose.

Incentivized

HPE Oneview has come along way. When they first put it out it was next to useless. Over the years and versions, they listened to feedback and have made OneView into a truly enterprise-level robust management product. It is now a far better product than the old C7000 Blade OAs, and HP SIM. It makes management of hardware easy and makes much of the maintenance easier and safer than before. For the storage side it does a great job and is intuitive to use, but the very versatility of how you can do things can lead to issues if multiple engineers do things differently.

Incentivized

• Open source code base
• Community support
• Is fast in processing

Incentivized

• Managing the overall Blade profiles and the ability to have access to all equipment from one central repository.

Incentivized

• Difficult to setup/maintain
• Search pattern bar could be more user-friendly
• Premium subscription features are very expensive

Incentivized

• Managing the 3Pard Oneview will allow you to do things like reuse LUN IDs and setup multiple export groups with the same volume. This can cause performance issues, or worse. They could do a better job of protecting you from yourself...
• Complicated initial configuration

Incentivized

Support and training when we implemented OneView were excellent. We haven't required any additional support since we put it in and configured it for our systems. The OneView systems have been stable through updates and HPE documentation is excellent.

Incentivized

Splunk is a very good product but the licensing costs are high; we utilise the best of both worlds by using both products for slightly different purposes. We put the voluminous data with simple use cases in Elastic where it doesn't cost too much and can be searched quickly while putting the less voluminous data with more complex use cases in Splunk so we can take advantage of Splunk's very comprehensive but often much slower SPL search query language

Incentivized

If you are using modern HPE equipment there really are no alternatives.

Incentivized

• Cost management.
• Good customer increment.
• Time management.

Incentivized

• No impact one way or the other for us.

Incentivized