CloudBees Continuous Integration vs. Splunk Cloud Platform

For all continuous integration features like multi branch pipeline, continuous build, and deployment execution, highly customizable groovy scripting, well integration with most of repositories like SVN, GIT, etc. are some of the exceptional features which helps devOps related tasks a treat to work everyday. With some minor changes in agent configuration and handling of their configuration on master instances would reduce a lot of issues. Also, cache of maven handling on agents needs to be improved (though not related to tool but the CI pipelines). But, since this is a very mature and performant tool, we expect some out of the box functionalities to handle all such scenarios. Overall, the tool works wonders because of its highly customizable features.

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Splunk is excellent when all your data is in one location. Its ability to correlate all that data is intuitive (once the hurdle of learning the query language is overcome). It is also easy to standardize the presentation of information to the company. When data is siloed/standalone, other systems can be cheaper and faster to implement.

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Independently Invited by TrustRadius

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• Customer Support
• Solutions engineering

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Independently Invited by TrustRadius

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• This SIEM consolidates multiple data points and offers several features and benefits, creating custom dashboards and managing alert workflows.
• Splunk Cloud provides a simple way to have a central monitoring and security solution. Though it does not have a huge learning curve, you should spend some time learning the basics.
• Splunk Cloud enables me to create and schedule statistical reports on network use for Management.

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• File or Workspace Management
• Agent configurations at master level
• Better Support for issues in product

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Independently Invited by TrustRadius

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• The SPL programming language that the queries are built in is not very intuitive.
• There should be a better repository of pre-built queries for what I would think of as common Active Directory usage monitoring.
• I would like to see more free training/familiarization information made available.

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Independently Invited by TrustRadius

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Ease of use and have all the features we need

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Invited by the Vendor

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Splunk AI Assistant for SPL is good tool, as I said, it is really useful for educational purpose, taking in its hands small and simple tasks (ex:small query dashboard,...), but it's not a ten because the contextual memory for complex issues/dashboarding/reports etc can be limited, and can sometime suggets none optimized query which are not always checked by teammates and can cause issue on the long term.

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Invited by TrustRadius (TR) on Vendor's Behalf

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

Support seems very unreachable from my experience. They handle cases if developers are facing issues, support seems to be very limited. It's not like other tools in a market where every mail is being taken priority and responses are sent. We see a lack in this particular aspect when it comes to CloudBees Jenkins Platform.

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Independently Invited by TrustRadius

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Splunk Cloud support is sorely lacking unfortunately. The portal where you submit tickets is not very good and is lacking polish. Tickets are left for days without any updates and when chased it is only sometimes you get a reply back. I get the feeling the support team are very understaffed and have far too much going on. From what I know, Splunk is aware of this and seem to be trying to remedy it.

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Independently Invited by TrustRadius

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CloudBees Jenkins Support is on par with the other enterprise tools we're currently using. It has performed well enough that we've adopted the product and placed it in the critical path of our software delivery pipelines.

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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

Vs elastic: - SPL's statistical functions superior to KQL for complex correlations - Better enterprise support, less operational overhead - Splunk Cloud Platform's detection engineering more mature vs Sentinel: - SPL more powerful than KQL for custom analytics - Better cross-platform visibility (non-Azure environments) vs Datadog - SPL enables deeper forensic Investigations - Superior compliance/audit capabilities

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Invited by TrustRadius (TR) on Vendor's Behalf

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• Positive - Handles number of requests
• Positive - Customizations of pipelines helps integrate many type of frameworks
• Negative - Cache management on agents for dependencies downloaded
• Positive - credential management helps reduce configurations to be done for each project job at manual level

Incentivized

Independently Invited by TrustRadius

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• End-end visibility across your departmental silos
• Strengthen the overall global monitoring posture
• Move from Reactive to Proactive Monitoring
• Highly secure environment at your finger-tips
• Takes you away from managing infrastructure/administration, allows saving time & money. Reduce the overall TCO (Total Cost of Ownership)

Incentivized

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