Cisco ThousandEyes empowers organizations to assure every digital experience across every network, everywhere, every time.
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IBM Instana
Score 8.1 out of 10
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Instana, an IBM company since the December 2020 acquisition, provides APM services for SOA, microservices, containerized applications and Kubernetes, and cloud native applications, as well as discovery and monitoring for IT assets.
Unified communications real-time analysis is one of the biggest points of the solution. You can see your traffic path and find issues before, during and after the calls. This is very useful for analyzing VoIP and video conferencing problems like in WebEx, Microsoft Teams and Zoom. It helps to see network issues like packet loss, jitter, or latency that can make call quality bad. Another good use case is checking cloud apps and SaaS services. Many companies use external platforms like Microsoft Azure, 365, Salesforce, or AWS. It lets Networking teams see the network path from users to these services so they can find if problems come from the company network, the internet provider, or the cloud service. Also, it is good for companies using mix of on-prem and cloud. It shows how traffic moves between different parts of the network, so IT teams can see where a problem happens and fix it faster. There are different types of agents that we can use in Cisco ThousandEyes. Enterprise agents can be use for a relative big amount of synthetic test. Endpoint agents are install in user PC or MAC laptops to check network quality from the client side. WebEx devices also have built-in agents that help to see performance problems in meetings, making it easy to find what is causing a bad call. Maybe it's not the best solution if what you want to measure is not HTTPs based or hasn't an API. Also if your scenario is Zoom Rooms, you won't have the same level of integration that it has for WebEx and Microsoft solutions.
With enterprise IT assets in a multitude of ecosystems, cloud infrastructures and sometimes still left stuck in a legacy on prem architecture, IBM Instana makes it easy to get the right data to drive development and / or DevSecOps processes with tangible input from the target environment itself.
Cisco ThousandEyes does the holistic discovery of the end components, the network components, and it's really fast at identifying where the issue is, which is not normally identified by the classic monitoring tools. So it's quite a fast identifying the issue of the networks and Cisco ThousandEyes also provides a very good real user end user monitoring experience for the end customers. So those are the two real life and also very good examples for Cisco ThousandEyes.
Can monitor application(s) and system(s) with very large throughput of transactions by the second ( it gets everything !!!)
Provide strong drill down for your applications and will tell you where the points of failure of an application's is ( servers , network , Databases , etc you name it )
Very easy to set up and have it up and running when using the SaaS solution. There's an on premise solution which works just as well but requires more effort and preparation from an infrastructure point of view for your teams to implement.
Continuously improve their features and their agents auto-update and keep up. All while not interfering with your applications.
Let's you create your own dashboards and visualizations that can be tailored for different kind of users with the data collected.
Create your own events and smart alerts so you can know on the spot if something is happening or is likely to happen that needs addressing on your applications / systems
The elephant in the room is going to be cost. ThousandEyes is a great tool, but you will pay for it. There are other services that do a good job at providing a smaller subset of features compared to ThousandEyes. If all you need is that particular subset of features, ThousandEyes may not make fiscal sense for your organization.
As a subset of the cost issue, within the last 18 months or so the pricing on enterprise (local) agents has been modified in a way that seems not to benefit the customer. Previously enterprise agents had a flat monthly cost associated with them with unlimited test usage (the only limit on test usage was based on concurrent tests running at any given point in time). This meant that instead of using a cloud agent and paying per-test, you had the option of spinning up an cheap Digital Ocean droplet and creating your own cloud agent for external testing without using Cloud Agents. When the change was made they eliminated the flat per-agent cost and instead treated the pricing the same as that of the cloud agents but cutting the number of "cloud units" per test in half for tests run from enterprise agents. For organizations with under-utilized enterprise agents, this may be helpful financially, but for organizations that push their local agents to the limit, the cost skyrocketed.
BGP monitor peering sessions have been less than reliable. The data doesn't seem to be an issue, but the sessions seem to bounce or fail altogether on a fairly consistent basis. The routers or servers with which your routers peer sit behind some firewalls that have caused issues in the past.
It's very difficult to create custom dashboards, only a handful of scenarios can be visualized to dashboards.
Extracting information from Instana to further analysis into excel for example is something that can be improved. Using an API to get data is very limiting.
Open telemetry features which allow to send application data to Instana is not working as documented.
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
Instana has been able to fulfill our all requirement and provide out of box solution for multiple component like AWS RDS Monitoring and real time alerting setup on basis of that. it is also easy to integrate with other open-source alerting and monitoring tools which makes it easier to incorporate into our solutions
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.
IBM Instana totally alters our monitoring approach since it increases the stability of the system and simplifies the process of problem solving. And since it helps to lower the degree of alert exhaustion that we experience, it is a total game changer for us.
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.
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 off-net test leveraging (# of outside companies partnered with them) but has made many improvements in the past 2 years.
As a DevOps engineer, I've explored various Application Performance Monitoring (APM) tools, including New Relic for real-time insights, AppDynamics for code-level visibility, Dynatrace for AI-driven monitoring, Datadog for comprehensive observability, Splunk for log management, Stackify Retrace for error tracking, and Raygun for crash reporting. Each tool offers distinct features, and the choice depends on specific use cases, technology stacks, and organizational needs. Thorough evaluations, considering factors like ease of use, integration capabilities, and scalability, help in selecting the most suitable APM solution for effective application monitoring in a DevOps environment.
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.
Building the trust from our Merchants is core when you come to renewal time. Trust builds partnerships, builds stickiness and allows for easier upsells or contract renewals.
Having a champion in IT that touts your service is important to the business, it removes a large portion of friction in the business to get services implemented and working to its peak.
Flexibility in pricing can be better. How they measure the number of agents being used can get thorny. When you build and tear down virtual servers a lot it can appear there are more agents running than there are. Once we understood how they measure we were able to better utilize the product efficiently.
