Riverbed Aternity vs. Splunk Observability Cloud

We are a services organization and we use Riverbed SteelCentral AppInternals with our customers. It has allowed us to expand the footprint in the application management business with virtually all of our major accounts. We were able to expand and go into other applications that we weren't in or offering previously. Now, we have a new value proposition for our customer enhanced visibility, enhanced stability, and we can reduce our cost to them because our cost structure is reduced by using Riverbed SteelCentral AppInternals.

Incentivized

Good for below cases 1. There is a front end and need to correlate data with front end data 2. multiple microservices and need to check the health of each system 3. correlate data from various sources 4. Application performance is a key to be captured 5. application performance is a key metric.

Incentivized

• Root cause finding/remediation (it goes beyond analysis).
• Shows latency between applications and servers.
• Identifies long-running SQL queries, and puts the onus back on developers to clean up their SQL code.

Incentivized

• The first one is its Kubernetes container monitoring.
• I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
• The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
• Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.

Incentivized

• We found the platform slightly costly for the return. Having tried multiple products this was the best of the lot.
• We did find a few applications where the diagnostic data wasn't overly insightful.

Incentivized

• An indicator for errors on the navigations pane so that we don't have to go through each tab.
• As we go more and more cloud maybe you guys can implement a pay-as-you-use strategy so that small companies using it not frequently can also afford it.
• That's it can't think of any and it wont let me skip to next question. Thanks

Incentivized

Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net

Incentivized

Overall a great tool to have in your toolbox, It is very intuitive and our entire staff uses the tool. It is easy to use and cost is very reasonable. Splunk also has excellent support team and very easy to work with. Every time we had a challenge, support team was able to help us with the end result.

Incentivized

The support I give the highest rating because it is really amazing. Every time we triggered the tool support, we were very well served very quickly and efficiently. The problems were solved quickly and without stress. The staff helped us within minutes and had a lot of patience with us

Incentivized

Splunk support is very quick and efficient. Pre-sale specialists are very skilled and available.

Incentivized

Follow a training before starting.

Incentivized

The three tools mentioned above are great too. All deliver and fulfill their functionality well. But we chose Riverbed SteelCentral AppInternals because we received referrals from other friends who work at other major companies around the world and use this solution and have never had any problems. So for reliability we chose this one

Incentivized

To be honest, Datadog is very similar to Splunk and LogScale to a lesser degree, but it is just as good if you don't need too complex observability. Grafana is still growing and might reach the same level soon.

Incentivized

• Helped us drive automation for the client
• Generation of detailed reports for monitoring activity performed
• Overall improvement in compliance and risk management for servers
• Drive operational efficiency across the project

Incentivized

• Significantly reduced the MTTR (Mean Time To Recovery), which in turn has improved the end-user experience tremendously.
• Meets compliance requirements of security policies, audit, regulation, and forensics.
• Helps us to track/manage the resource usage on our cloud instances which has a direct implication on the recurring cost.

Incentivized