Cisco ThousandEyes empowers organizations to assure every digital experience across every network, everywhere, every time.
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ScienceLogic SL1
Score 8.6 out of 10
Enterprise companies (1,001+ employees)
ScienceLogic is a system and application monitoring and performance management platform. ScienceLogic collects and aggregates data across and IT ecosystems and contextualizes it for actionable insights with the SL1 product offering.
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Pricing
Cisco ThousandEyes
ScienceLogic SL1
Editions & Modules
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Offerings
Pricing Offerings
Cisco ThousandEyes
ScienceLogic SL1
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
Required
Additional Details
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ScienceLogic SL1 offers four tiers:
SL1 Advanced – Application Health, Automated Troubleshooting and Remediation Workflows
SL1 Base – Infrastructure Monitoring, Topology & Event Correlation
SL1 Premium – AI/ML-driven Analytics, Low-Code Automated Workflow Authoring
SL1 Standard – Infrastructure Monitoring – with Agents, Business Services, Incident Automation, CMDB Synchronization, Behavioral Correlation
To get pricing for each tier, please contact the vendor.
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.
Appropriate if you are setting up a monitoring suite in new Infrastructure Environment. Definitely NOT suited for Migration Projects. ScienceLogic SL1 cannot cater to a lot of monitoring requirements which already would have been configured in old monitoring suite. Plus, limited support for customizations and having to go to "Feature Requests" route makes in extremely complicated.
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.
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.
Dashboards are quite old and are of Iron age. Need to have AP2 dashboards only instead of AP1 and consistent new design across all functionalities.
Reporting is not improved since Y2020 and need to revamp completely. Need to integrate Dashboards and Reporting. PowerBI Like functionality to be given OOTB. Reports should be extracted in Excel, PDF, HTML and should be heavily automated.
Create and Open APIs for basic and advanced monitoring data extraction.
Topology based Event Correlation and Suppression should be improved drastically. Need to identify critical network interfaces based on Topology and monitor them. Basic customization of Dynamic App and/or Powerpack to exclude/include certain metrics/events to be permitted OOTB instead of customizations.
Integration with ServiceNow to be improved and to be taken to next level. Automation Powerpack should be made available OOTB as part of base product and to be priced attractively.
Take product to next level where we can monitor actual impacted IT or Business Service instead of metrics and events BSM and Topology map to be auto discovered and identify the network dependencies and alternate paths automatically instead of manual creation of BSM.
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
It is simply because of all the best possible autonomy solutions it is providing and getting better day by day. Using AI and Devops along with handy automation, The monitoring and Management of devices becomes much easier and the way it is growing in all the aspects is one the best reasons too. Evolution of the SL1 platform in the autonomy monitoring and management is quite appreciable.
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.
The core functions are there. The complexity is due to the complexity of the space. The score is based on comfort (I no longer notice the legacy UI) and the promise that I see in the 8.12 Unified UI (a vast improvement). It is also based on the fact that with 8.12, you can now do everything in the new UI but you still have the legacy UI as a fallback (which should now be unnecessary for new installations)
SL is always there and online when you need to get info from it. The only times when SL was not available in our own data center, was when network links from out side of the data center was down and those links were not in our controll. Having a central database and people accessing it all over the world, may put a bit of constarin on the performance of the dashboards when reports gets generated, but that is far and few n between.
SceinceLogic SL1 architecture helps the platform to give a top-notch performance in every respect, Data collection to reporting happens very smoothly. With the new user interface pages load much faster. Individual appliances carrying the individual task ensure things are working without lag. Integration with ticketing tool(SNOW) is well managed by the ScienceLogic, no issue or much delay has been observed while interacting with an external tool.
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.
So far, it's good as part of my overall experience, except for a couple of use cases. The support team is well knowledgeable, has technical sound, and is efficient. When support escalates to engineering, the issue gets stuck and takes months to resolve.
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.
It was good, Do the online training first and understand it and you will get the most out of the in-person training that way. This also takes you to an advanced level which is very good and the training as been overhauled once again along with new product coming in such as Zebruim / Skylar, worth going through again if it a while back that you first did this.
There are a lot of educational materials and courses on the SL1 training site (Litmos university). However the recording quality is sometimes not very good - screen resolution is low. There is a lack of professional rather than user-oriented documents and there are mistakes in documentation and education is not well structured.
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.
As first time developers, getting to grips with powerpack development using SNMP, Powershell and Python etc, was not helped by poor and badly organised online documentation. In many cases, we had to look at existing powerpacks and try to work out what it was doing and why - not always with much success. Even after receiving expert level training, the development of some powerpacks would not have been possible without access to the SL1 support staff.
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.
Science logic SL1 is so user friendly and it's really easy to navigate between function. I would recommend Sciene logic SL1 to all of them who are looking for really useful monitoring tool and expecting easy way of managing it.
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.
Our deployment model is vastly different from product expectations. Our global / internal monitoring foot print is 8 production stacks in dual data centers with 50% collection capacity allocated to each data center with minimal numbers of collection groups. General Collection is our default collection group. Special Collection is for monitoring our ASA and other hardware that cannot be polled by a large number of IP addresses, so this collection group is usually 2 collectors). Because most of our stacks are in different physical data centers, we cannot use the provided HA solution. We have to use the DR solution (DRBD + CNAMEs). We routinely test power in our data centers (yearly). Because we have to use DR, we have a hand-touch to flip nodes and change the DNS CNAME half of the times when there is an outage (by design). When the outage is planned, we do this ahead of the outage so that we don't care that the Secondary has dropped away from the Primary. Hopefully, we'll be able to find a way to meet our constraints and improve our resiliency and reduce our hand-touch in future releases. For now, this works for us and our complexity. (I hear that the HA option is sweet. I just can't consume that.)
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.
