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.
$15
per month (billed annually) per host
TeleMate
Score 8.4 out of 10
Enterprise companies (1,001+ employees)
TeleMate is a platform that enables users to see their entire UC&C environment in a single dashboard so they can proactively monitor, troubleshoot and analyze. TeleMate has provided vendor-agnostic full-stack UC&C visibility and monitoring for 35 years. They company states they have worked with multiple industries, vendors, and business environments to help customers overcome unique communication observability challenges.
The query language is relatively easy and flexible when looking into an application's problems. These queries can then be used for alerts, reports, and dashboards. I believe Splunk is a platform that can help a system grow into its proactive application management, using incidents to add insights as needed without trying to work out every scenario in advance.
TeleMate Predictive UC Analytics shines with reports that can be set up to run daily, weekly, or monthly and offer an excellent point of view for the data and visually pleasing graphs. Critical day-to-day live data can easily be shared with web link(s) to users that do not have access to run or create their own reports. I would say Predictive UC Analytics application is probably not suitable for smaller organization where the deployment-implementation costs might not offer the best ROI for them.
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 support we get from the team is excellent. They are always improving and if there is something we need they jump right on it and try to find a solution for us.
They are always improving on the product and if they see there is an issue before we do they contact us.
The product is easy to use, very user friendly interface.
Many features in the product that we have not even begun to touch on.
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
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.
We initially chose Splunk Observability Cloud because it promised full-stack visibility and tighter integration. The other tools didn't offer this as part of the core package. Their analytics and real-time dashboards looked strong during the demo but it turned out to a lot heavier and more complex than expected. If I had to decide again, I’d probably go with something more streamlined and easier to manage.
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
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
