Splunk Observability Cloud vs. TeleMate

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.

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We have been using TeleMate Predictive UC Analytics to help us troubleshooting issues with devices as it picks up not just CDR but other events that occur in the CUCM devices. They are currently making headway in capturing data from our Expressway Servers as we have several users working from home. This is an area in which not many tools out there to provide information we need as the expressways are a bit complex especially when being used in MRA. However, TeleMate Predictive UC Analytics is on track to be one of the first ones to get there. There is still a lot that Telemate has to offer however we are still in the process of getting all that set up on our side

• 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.

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Invited by TrustRadius (TR) on Vendor's Behalf

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• Assurance provides excellent live data and in a very easy to read format.
• A great multi-report catalog that can be easily setup/scheduled.
• A very in depth SIP call ladder analysis for VoIP engineers.

• 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.

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• More descriptions of the filters and how they are used.

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

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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.

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

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Follow a training before starting.

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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.

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We evaluated several other systems and went with TeleMate Predictive UC Analytics as they had a broader range of tools. We started looking for a CDR product and found that they provided those needs and had much more

• 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.

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• Information collected is used to justify staffing needs
• When used along with other technology, such as logging recorder, TeleMate Predictive UC Analytics helps determine accurately what happened with a caller