IBM SevOne’s app-centric, hybrid network observability empowers NetOps teams with ML-driven insights, enabling proactive issue prevention and resolution. With a single source of truth for network performance, it delivers visibility to optimize operations and support agility in complex, multi-cloud environments.
N/A
Splunk Observability Cloud
Score8.5 out of 10
N/A
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.
$180
per year per host
Pricing
IBM SevOne
Splunk Observability Cloud
Editions & Modules
No answers on this topic
Infrastructure
$15
per month (billed annually) per host
App & Infra
$60
per month (billed annually) per host
End-to-End
$75
per month (billed annually) per host
Offerings
Pricing Offerings
IBM SevOne
Splunk Observability Cloud
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
IBM® SevOne® uses Managed Device (MD) and Managed Client Device (MCD) as pricing metrics. These can be mapped to managed devices for physical, virtualized and containerized functions in the managed environment.
IBM SevOne ensures deep performance and in depth monitoring and allows customization according to specific organisation or business needs. Availability of real-time alerts and unlimited customization. The software integrates freely with many third party applications and has reliable analytics and reporting systems. Ability of the software in automating routine network monitoring tasks which reduces operational costs. Software pricing is a major challenge towards smooth implementation of the software. It is expensive and not affordable to small businesses and organisations.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Documentation for the embedded help pages in NMS and more. In my opinion, these do not provide anything of any depth or maybe anything helpful at all. If anything it just seems to be a guide of what actually exists on the page. It is nicely searchable documentation though.
It is very surprising and disappointing for us to learn that it isn't until the latest version of IBM SevOne that bulk editing was introduced. I think this is such a basic and foundational feature that should have been a part of the original rollout. My team is still trying to configure the REST API.
It was disappointing for the webinar to start with a speaker who had a thick accent and simply read from slides. To me, it felt hopeless until the second speaker, who was engaging and easy to understand. It's as if this fact wasn't considered. I'm sure the first speaker lost a lot of viewers who didn't stick around to discover the 2nd speaker.
I asked three different questions during the webinar and none were answered.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
IBM SevOne was selected instead of Datadog because it is perfect for large insurance networks and also connects trouble-free between the on-premise and cloud environments. Its alerts are in real-time, it offers comprehensive dashboards and it allows to gain a better grip on the network issues, thus helping to keep the downtime small and the operations well managed thanks to the good communication.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
