Riverbed Aternity delivers AI-enabled insights based on real end user experience data and high-fidelity telemetry across endpoints, application, infrastructure and network.
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Splunk Observability Cloud
Score 8.2 out of 10
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Splunk Observability Cloud aims to enable operational agility and better customer experience through real-time AI-driven streaming analytics allowing accurate alerts in seconds. It is designed to shorten MTTD and MTTR by providing real-time visibility into cloud infrastructure and services.
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.
Its great if you need real-time visibility across complex or regulated environments. Also strong for hybrid or multi-cloud setups where uptime, observability and fast IR are required. It’s probably overkill for smaller teams or environments that don’t have constant changes or compliance reporting needs. It's expensive and has a steep learning curve. Also, in my opinion, do not get yourself into a consumption based model. Costs can certainly get out of control quickly.
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.
The tool demands High CPU resources to perform monitoring which reduces the overall performance and the user experience is sluggish
Also a good amount of training is required to set up the different use cases and monitoring parameters which in return demands a dedicated resource to work on the tool
You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.
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
When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.
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
There is a wide variety of APM solutions out there for companies to pick from. Riverbed AppInternals sits near the top of the stack certainly. We already deploy steelhead units across the estate with client licenses, that aided us in our decision to select AppInternals. We found the costs of AppDynamics and New Relic ( which we had trials for) both costly against AppInternals.
Splunk Infrastructure Monitoring provides far superior options for anybody using a complex hybrid multi-cloud environment and allows both your SOC and NOC to work together on the same data while driving their own insights. We found other products are still in the old world view of servers and agents residing together within a single data centre, but modern apps are no longer like this.
This product has really wonderful features and one of the most valuable ones is the transaction searches into TTW.
This will show you the operations that occurred under conditions that the user specifies, giving you the opportunity to drill down on the things that are more important and affecting system performance.
Besides that, the capability of analyzing each individual transaction captured to a very low-level detail (method call/line of code). This ability empowers the testing teams to provide more visibility to developers on how they can improve.
