Cisco ThousandEyes empowers organizations to assure every digital experience across every network, everywhere, every time.
N/A
Splunk Observability Cloud
Score 9.0 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.
It is a similar product to Cisco ThousandEyes. Both solutions give good network monitoring and traffic analysis. But Cisco ThousandEyes works better with Cisco devices and has real-time alerts that are very useful. It also helps to see network problems faster and make …
This technology helps us and our customers understand the value and importance of our business. Not only for our business but also for Cisco business. We are developing a lot of apps in .net so we will like to have support for that in Cisco products that we and our customers …
We did briefly look into DynaTrace, but it was too much product for what we needed though and was much more expensive then just adding the licensing to our Cisco existing licenses.
Juniper RPM offers device config level sla testing in the service stream layer. Whilst this is good and is monitorable via snmp, the config can be fiddly and needs a Juniper device at the other end as a reply point
Cisco ThousandEyes has a great "macro" view and gui allowing easy to understand metrics. It also makes it easy to run synthetic application tests to measure reachability between two endpoints.
Kentik Synthetics is a newer competitor of Cisco ThousandEyes. Both do very similar things but Cisco ThousandEyes currently is the more mature platform. However, the pricing of Synthetics is very attractive. It does not have the robustness of Cisco ThousandEyes or the …
Connected directly to the switch. Other vendors all seem to be add-ons. They claim they are different, but I don't know why I would go spend additional money for another product.
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.
It's able to quickly detect and resolve issues across the entire spectrum of deployments including on-premises, public cloud, private cloud, hybrid cloud and multicloud
The above applications have their own use cases. Thousand Eyes or Sitescope is used for URL monitoring and Splunk is used for application monitoring. Appdynamics is also used for application monitoring and can monitor the server very well but it lacks when searching in logs …
Splunk is superior in many ways to these solutions when I'm comes to ingesting, storing, manipulating, and using data, but dynatraces automatic agents do make it much easier to use out of the box. Nagios seems much cheaper but does not provide as much functionality as Splunk. …
SQL is a great tool for smaller quick checks. When trying to monitor several different environments, applications, APIs, several thousand devices, connections, and technology, it just doesn't stand up to what you need. Splunk Infrastructure Monitoring has really stood out …
We are having other monitoring tools like AppDynamics, Dynatrace, Datadog and already using their end-user monitoring capability. Most of our customers are looking for agent-free monitoring where they don't want to instrument any agent on their client-side (as it might …
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 …
The use of a single integration and definition of custom metrics, and tags is a great advantage. The ability to use SignalFlow to observe metrics in addition to the vast number of out-of-the-box dashboards is also excellent.
Splunk Real User Monitoring (RUM) has a much better artificial intelligence engine. It also has a much better and more intuitive user interface. Splunk RUM also allows end-to-end visibility into the front and the backend. Technical support and customer service are also much …
As a service provider that is in multiple datacenters it's a great tool to use and leverage. Alot of smaller providers are only using NMS nodes that are hosted in their HQ or in spots that aren't where their content is hosted. Being able to run tests directly from your datacenters (between them or to the content provider itself) gives more accurate results. The downside is if you have no server infrastructure you'll have to install servers/machines to utilize it.
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.
Agent to Agent testing. Full round trip test. Have a customer using a Server Side API that is having an issue. Loan a Nuc, or have them install the ThousandEyes agent in their network. You'll find the issue guaranteed.
Device Layer vision - ability to see from the server, through the Firewall, switches Proxy and internet. Measure jitter, latency, response time, load time and see the path your packet takes.
Share your tests live. Provide the customer a link to a live test, they can see what you do, review your metrics and verify your tests. They can also use it as a tool to better their service. Build the trust and stickiness with your customers' most difficult users - the IT Operations team.
Validate your QOS and routes for VOIP, video conferences, and data traffic. Highly flexible and configurable complete with transaction-based testing, custom headers, calls and tools to mimic any scenario you need.
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.
We have the product, we have a fair amount of wireless issues. You have to go through so many hoops, links and selections that I would think would've been impossible. Maybe if you have a specialized engineer, you would be able to use the thousandeyes product to troubleshoot a problem. But if I want to share with our knock, for example, would be very challenging because there is so many paths that you have to go and there is so many assumptions you have to do to actually find the root cause of the problem. What I would expect is maybe what they can do is implementing some AI today on this product to give some hints, "hey, this might be the problem because the data is there but it's difficult to find." We need an easier way to find how we can use the platform to point out where's the root cause of those problems.
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
We will definitely renew and maybe even extend our usage of ThousandEyes. We have been using ThousandEyes now for a couple of years and it has shown us major benefits. With the new options it offers for SD-WAN for us it is a no brainer to renew our current licenses
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
There is definitely a learning curve to ThousandEyes, but once you understand how the client deployment works and how to set up monitoring, things go pretty smoothly. I think the initial setting up of clients on endpoints can be a little tricky though.
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.
You have online support from the tool itself 24/7 and they are very responsive. We also have a specific account manager and specific engineer assigned to help us with very specific questions for our environment. The level of response to our requirements is always super high. We have requested specific features to be added and these have been developed and introduced very quick tot he product (within weeks). Their DevOps and agile approach seems to pay off.
Our Cisco reps actually had someone teach us a few things about the functionality of ThousandEyes, and it helped a lot. The training was good and we had follow-up assistance as well when we had questions about the monitoring and reporting functions. Overall, we were satisfied with the training and support.
Our implementation was pretty straightforward, with some issues loading clients on endpoints. We didn't have any notable issues, and I don't really have any additional insights.
It is a similar product to Cisco ThousandEyes. Both solutions give good network monitoring and traffic analysis. But Cisco ThousandEyes works better with Cisco devices and has real-time alerts that are very useful. It also helps to see network problems faster and make troubleshooting easier. Cisco ThousandEyes is also better for checking SaaS and cloud apps like Azure, AWS, Webex, etc. It has endpoint agents that show network quality directly from user devices. The web interface is simple to use, so the learning curve is not too steep. Also, it has many monitoring points around the world, making it easy to check performance outside the company network.
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.
I think this product would be infinitely scalable since it's all cloud hosted and can support thousands of endpoints if needed. We are only using it for a limited number of endpoints, so we never really considered scalability.
ThousandEyes has helped us quickly isolate issues on some high-profile (within the organization) incidents and whether the network (internally or on the Internet) is at fault. If it is, it becomes easier to see the "where" of the issues quicker so we can move onto what the issue is faster. In the case of non-network related issues, it helps us get the appropriate teams or individuals involved sooner.
