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.
$7.50
per month per node
ThousandEyes
Score 9.0 out of 10
N/A
ThousandEyes offers Digital Experience Monitoring that integrates application performance monitoring within a broader network monitoring platform. It primarily focuses on connectivity monitoring and supports SaaS and hybrid systems monitoring.
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Pricing
ScienceLogic SL1
ThousandEyes
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
ScienceLogic SL1
ThousandEyes
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Required
Optional
Additional Details
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.
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.
At least for me, it is a very important tool to diagnose bandwidth / Routing issues. Any global company should have ThousandEyes, it will avoid you many headaches. You'll need to invest in servers (on-prem and remote) in all locations in which you need, you can take advantage of all the monitoring tools.
Alerting on outages. ThousandEyes provides a few different options to receive alerts: you can have alerts emailed to a subset of (or all) users, there is a basic Slack integration, and if more flexibility is required (or your preferred method of being alerted isn't built-in) webhooks can be used to hit another API.
Speeding up mean time to resolution (or mean time to innocence if you're a more siloed and blame-happy organization). Failure alerts can be configured to include the cause of the failure instead of just "resource x is down." For example, the alerts can come out and say that a website was down due to an HTTP 500, which will help prevent staff from spinning their wheels trying to diagnose the network from the client to the web server.
Post mortems and root cause analyses. After an outage has been resolved, it is possible to go back for up to 30 days without losing any level of detail for the test in question, and to view information like the DNS response received, the network path taken by the traffic, and any added latency incurred by an individual link. It can also be used to view Internet routing changes surrounding the incident.
Support. Every ticket or chat I have opened has been met by a friendly and helpful staff member that has been able to provide helpful insight into what is causing a particular issue, and what steps they will take on their side to resolve an issue or provide suggestions of steps to take on our side if necessary.
More freedom to create custom dashboards as on the previous versions we could do much more
The Performance TAB windows is too small and cannot be resized or maximized when looking at reports for "Overview", "File System" and any of those items.
There are not enough widgets to create stunning dashboard in AP2
Continue to innovate and support more and more services. In the world of IOT and point to point traffic being more and more prevalent creating a flexible product is fantastic. Build on the end user product, last mile and even more sharing.
We migrated away from our 20-year-old homegrown solution and have no back-tracking capability. ScienceLogic is demonstrating new capabilities that we would not have been able to do on our own using our legacy system. We understand the capabilities of competitors based on our bake-off selection where ScienceLogic won on capabilities and future near-term potential (expandability, platform growth). We know that those competitors are not really close to where we have been able to push ScienceLogic (as a partner).
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 use ScienceLogic SL1 in our organization to serve effective monitoring solutions to our external customers. Our customers depend upon us for critical events/alerts related to their IT infrastructure gears and using SL1, we're able to provide them with a proactive monitoring solution that resolves an issue before an impact is noticed by the customer. There are very few monitoring solutions that can cater to a variety of Cloud platforms like Public Cloud (AWS, Azure) and private cloud simultaneously and SL1 addresses this business problem very well
Science Logic SL1 provides the option of Distributed deployment where multiple instances of each appliance can be deployed to manage the load and availability. SL1 provides a High Availability feature for Database Servers and Data Collection. If one of the Data Collectors in the collector group fails, it will automatically redistribute the devices from the failed Data Collector among the other Data Collectors in the Collector Group. The high availability feature for the Database server ensures that SL1 performs failover automatically to another server without causing the outage to the application.
The performance is entirely dependent on the complexity of the environment/network being used to host the platform. Outside of those factors, the platform runs very efficiently and quickly out of the box. We have integrations with other platforms and neither seem to take a hit from our moderate API usage. Any issues with performance would be experienced by choices made in infrastructure or complexity of things built by the customer to display in the GUI (overly complicated and cluttered dashboards for example)
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.
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.
When I joined our company, I did not know about the in person training at firts. Logging onto the SL University, I realised that there were different sessions being held at different times throughout the year. The training itself was good, but being in a different time zone, made it difficult to attend, but the sessions that I attended was great!
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.
Love to use Science logic tool as our first monitoring tool to provide services to the customer. Auto restart feature in Sl1 will allow us to get event when those crucial services has not started after server reboots and also minimize the P1's that we have as a result of that.
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.
Simple Network Management Protocol cannot achieve what an agent-based monitoring solution can. Access layer testing gives you visibility into the user's endpoint. ThousandEyes is able to provide both telemetry and user experience in a bundled solution. The way that Cisco has built in the enterprise agents to their 9300 and 9500 switches has made exposure to the platform widespread.
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.)
Once a powerpack is developed and configured for a device for one customer, it is easy to deploy the same powerpack on a second customer estate and configure specifically for that customer without having to reinvent the powerpack. This saves time and therefore money.
Once the customer estate tuning is complete, the Operations team have come trust the alerts. This is especially true when transient or self-correcting alerts are automatically cleared without ops team involvement, but a record is still available for audit and debugging purposes. This saves time and therefore money.
When setup correctly, it provides good visibility into applications, devices and whole customer estates. This saves time and therefore money when issues arise.
