AWS Compute Optimizer vs. Splunk Cloud Platform

AWS Compute Optimizer works well if you are using AWS as the core tech stack. If you are on mixed cloud deployments, then it is less appropriate because it can only give you a partial view. It might be helpful to use a tool that aggregates the usage and billing data from multiple platforms instead.

Incentivized

I will highly recommend this software because using Splunk
Cloud has helped us become more proactive about handling our security concerns
and better manage our environment. It is one of the finest security software
that is easy to use and also provides analytics. It has excellent features like
creating dashboard security and managing features etc. So you must give it a try once!

Incentivized

• Detailed analysis of resource uses
• Suggestion to reduce cost
• Easy to use

Incentivized

• With Splunk Cloud you get the advantage of moving from POC to Production in a matter of days rather than in months allowing the Business to gain a lot.
• Takes you away from managing infrastructure/administration, allows saving time & money. Reduce the overall TCO (Total Cost of Ownership)
• Move from Reactive to Proactive Monitoring
• Highly secure environment at your finger-tips

Incentivized

• Although it works great for AWS services but they should give a third party cost add option
• Many features only work when there is large data available
• sometime suggestions are not relevant to business problem we address

Incentivized

• Some of their more advanced features, like ITSI, Machine Learning, or Security Analytics, can be very challenging to setup and configure.
• Splunk Cloud support has been a challenge in the past. They are getting better, but they have had problems responding in a timely manner to issues.
• These are only some minor observations of things I have had to deal with. In general, Splunk is a solid product that is fantastic to use.

Incentivized

Ease of use and have all the features we need

Incentivized

What it does well:

- Powerful SPL query language for advanced users

- Excellent visualization dashboards

- Comprehensive documentation and community support

Where it needs work:

- Steep learning curve for SPL syntax

- Non-Intuitive UI for beginners

- Complex administration and data model configuration

- Search performance degrades with poor query optimization

Bottom line: Enterprise-grade tool requiring dedicated training investment. Best for teams with experienced analysts.

Incentivized

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.

Incentivized

Although both work in the same manner I prefer AWS cause our department mostly work on AWS technologies and it really makes our life easy in terms of cutting cost and making our application efficient and it gives a whole understanding of resource utilization. I recommend AWS Cost optimizer to all.

Incentivized

Microsoft Dynamics is far more complex and far more costly to implement and configure in comparison to Splunk. It can be useful for integrations into existing Microsoft databases. Grafana is quick and easy to deploy and configure. However, it lacks the scale required for an enterprise of our size. It is great for smaller test cases.

Incentivized

• It has a very positive impact
• Reduced the cost by a significant amount
• Great understanding of resource utilization

Incentivized

• Splunk Cloud has had a positive ROI in helping more efficiently track the cause of Help Desk Tickets.
• The billing model which is based on the amount of data from logs uploaded doesn't alert if a threshold is approaching. This can have a negative ROI.
• The training that I have taken while in-depth and focused is pretty expensive.

Incentivized