Cisco ThousandEyes empowers organizations to assure every digital experience across every network, everywhere, every time.
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Dynatrace
Score 8.0 out of 10
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Dynatrace is an APM scaled for enterprises with cloud, on-premise, and hybrid application and SaaS monitoring. Dynatrace uses AI-supported algorithms to provide continual APM self-learning and predictive alerts for proactive issue resolution.
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.
Dynatrace is well suited to a number of tasks. It is important to determine who the end users are and gather good information to tailor their experience accordingly. For instance, business/marketing should not have access to some of the more technical data, and business metrics can be a distraction for IT operations personnel.
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.
We loved Dynatrace's ability to show the data flow - from the front end points through the back end points straight to the database and various API's. It was advanced in its data visualization. This is useful for debugging - showing when/where the errors are. It can even enable non-technical individuals in the corporation to help debug
Dynatrace has some great highly customizable integration options as well as monitoring. You can configure your layout & integration options to create custom monitoring alerts for your applications performance. Further you can increase the extensibility of using a REST API on your architecture.
Some advanced dev-ops systems are utilizing Kubernetes/docker aswell as Node.JS - Dynatrace was able to log and help understand all of our dev-ops needs. It gave us native alerts based off of deviations from the baseline that we set during initial configuration. These metrics are priceless.
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.
Dynatrace does not monitor easily on a C-based application.
The way DPGR is addressed by Dynatrace is not very complete, and not clear. One thing is to mask the IP and request attributes but is not enough, the replay session feature is great but raises serious questions about user tracking.
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
We have got tremendous support and response from the dynatrace support team as well as the larger community. We still have issues like the lack of role based administration, but we are told that it may be coming in a future release. The team is very supportive and has assisted us in several tough situations.
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.
Dynatrace is great to use once you understand how to use it correctly and get used to the layout of it. While I do not actively use it every day, whenever I do use it, I do have to get refamiliarized with it. However, once you have your dashboards setup correctly with the data that you want to see when you first login to Dynatrace, it's amazing.
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.
I wish I could have given the ten points but based on my experience in past I am reducing by two points as the penalty. But I am sure that it will have improved in the past few months. They need some improvement on ticket handling. Overall I appreciate some of the support folks who responded quickly and also were ready to jump on the Webex and get the problem understood to fix it.
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.
Like I mentioned earlier, Dynatrace is a great tool but comes with a heavy price tag. On the other hand, Foglight offers a slightly lower level of expertise in application monitoring but fulfils almost all the requirements you would commonly have. The only major feature lacking in Foglight is the predictive monitoring feature. If you are an SME struggling with budgets, then predictive monitoring is something you can certainly live without.
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.