What users are saying about
8 Ratings
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Top Rated
214 Ratings
8 Ratings
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Score 7.7 out of 100

ScienceLogic SL1

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Top Rated
214 Ratings
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Score 7.8 out of 100

Likelihood to Recommend

Monitis

Monitis does extremely well at monitoring external connections in a simple and intuitive way. However, it doesn't provide deeper insights into why those services may have gone offline. There isn't an integrated trace route or net path type capability for individual uptime monitors. Great for alerting, not so much for investigation. It is a fantastic tool for alerting you to outages.
Bryant Lee | TrustRadius Reviewer

ScienceLogic SL1

Great for enterprise deployments where there is a single standard of devices and monitoring practices in place. Managed Service Providers have a harder time deploying the solution across multiple customers due to constantly changing customer requirements, device types and monitoring and security requirements and scenarios.
Rob Duram | TrustRadius Reviewer

Feature Rating Comparison

Monitoring Tasks

Monitis
6.8
ScienceLogic SL1
Remote monitoring
Monitis
7.0
ScienceLogic SL1
Network device monitoring
Monitis
7.0
ScienceLogic SL1
Multiple Server Monitoring
Monitis
7.0
ScienceLogic SL1
Multi-device monitoring
Monitis
7.0
ScienceLogic SL1
Automated alerts and notifications
Monitis
6.0
ScienceLogic SL1

Reporting

Monitis
7.0
ScienceLogic SL1
Performance data reports
Monitis
8.0
ScienceLogic SL1
Customizable reporting
Monitis
5.0
ScienceLogic SL1
Data visualization
Monitis
8.0
ScienceLogic SL1

Security

Monitis
7.0
ScienceLogic SL1
Adinistraor access control
Monitis
7.0
ScienceLogic SL1

Pros

Monitis

  • Monitis is very strong in networks
  • Monitis is valuable in all the monitoring procedures relating to telephony and general control of lines.
  • The administration of networks in the servers allows an adequate and centralized control.
Jose Raul Faria | TrustRadius Reviewer

ScienceLogic SL1

  • Graphing - Sciencelogic has highly configurable, high-quality graphs that make the display of mission-critical data very effective.
  • Customization - With a few exceptions, nearly everything in the system can be changed, modified, added or deleted to create your ideal monitoring environment.
  • "Power Packs" - The built-in packages provide a good level of out of the box functionality.
Britton Starr | TrustRadius Reviewer

Cons

Monitis

  • User experience
  • URL sharing
Tomasz Sikora | TrustRadius Reviewer

ScienceLogic SL1

  • Taking the auto backup of the devices will be one feature I would like to see in it.
  • Running the script on the devices feature will be very useful.
  • Firing the command on set of devices will be an added advantage.
Aditya Dev | TrustRadius Reviewer

Likelihood to Renew

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 7.9
Based on 5 answers
We migrated away from our 20-year-old homegrown solution and have no back-tracking capability.
ScienceLogic is a Cisco Partner and we are supported in ensuring their success.
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).
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

Usability

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 7.0
Based on 3 answers
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).
Further, the score is influenced by ScienceLogic being a Cisco Partner and while Cisco IT is a customer, we are also executing on internal expectations to make our partners successful by constructive (and sometimes pressured) criticism to better the platform.
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

Reliability and Availability

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 7.3
Based on 1 answer
For us, monitoring needs to degrade gracefully. That means that, by design, you allow your monitoring system to begin giving you less and less information until an ultimate failure point. Our motto is Last-Down / First-Up and our deployment architecture reflects specific design choices to minimize being part of someone else's failure-mode.ScienceLogic SL1 at 8.12 provides a wealth of monitoring data. This comes at a cost as you scale up.Can you consume the wealth of monitoring data?Can you consume the wealth of warnings and errors that being to get generated as you scale up?There are challenges, most of which are due to our deployment design choices and scale.We are working with ScienceLogic to introduce Priority as a first-class data element. We've added this as a Custom Attribute for all of our CIs. We use this to distinguish between the failure of a development host vs the failure of our production website.The score represents the known opportunity for improvement that we see on our joint roadmaps.
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

Performance

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 7.3
Based on 1 answer
Care should be taken when creating dashboards which present all of the collected data available to you.We have many routers at work.Almost all of them have 10K interfaces on each one.Creating dashboards which present many different views of many different, large routers can create undue database load. (We're actively discouraging their use as a long-running process because each dashboard widget gets its own database connection, not a shared database connection.) We will kill all long running queries in the database if they run longer than 30 minutes.The database schema design makes interesting trade-off decisions (optimizing for ease of write at the expense of complex / cross-device reads). The new GraphQL schema model looks promising, but we're still waiting for that to begin to appear in the SL1 core functionality.Given enough hardware and budget, you can go a long ways before you start pushing the boundaries of the platform architecture.Being conservative in what you monitor for the vast majority of your CIs allows you to retain compute capacity for dashboards, runbook engines and the like.Having large routers or vCenters will require an upscaling of your data collector sizings just to complete the Device Component Map data collection.
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

Support Rating

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 5.6
Based on 8 answers
We are working through the reproducibility cost-of-entry issues.
There is room for improvement, but I also clearly want to commend the support team for their responsiveness and remediations when our stacks have significant problems.
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

In-Person Training

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 9.1
Based on 1 answer
On the Cisco IT side (students), we had a number of teams who were provided the deep developer training.
Of those students, the customized training provided a complete, 5 day training which enabled the Cisco IT platform team to successfully deploy and mitigate user-experience issues for the vast majority of our end-users, including some of the teams who attended the developer training.

The knowledge kept pace with the class and sped up / slowed down (within the time constraints) as needed throughout the course.

This was developer to developer training and for those students who were developers the training worked well. For those who were just coders it probably worked less well as some of the topics still do not apply (a function of our course outline specification based on our knowing nothing).

Due to problems in sequencing we did the developer course BEFORE the admin course and realized that our requested ORDER was wrong.

The onsite admin course was much better received and led to deeper understanding of the developer course held a few weeks prior.
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

Implementation Rating

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 7.3
Based on 5 answers
Know your use case.
Know which inherent use case ScienceLogic approaches you with. (They still have a long history of Managed Service Provider that influences their thinking and they are learning to be self-aware and thoughtful about you rather than your deployment being just a templated deploy that they've done many times before.)

They are making progress, but your clear and persistent insistence on deployment according to your use case will help minimize problems.
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

Alternatives Considered

Monitis

Monitis isn't a true RMM system in that it really lacks the second "M". This product does fantastic at remotely monitoring a large variety of endpoint types without an agent and is capable of getting even more in-depth with its agent-based monitoring. However, it is definitely not a replacement for a full RMM product like SolarWinds, Kaseya, or ConnectWise. It can be a great product to augment your existing tools but isn't likely a replacement.
Bryant Lee | TrustRadius Reviewer

ScienceLogic SL1

We vetted many other platforms and continue to do so (SolarWinds, Prognosis IR, Zenoss, etc.) and find ScienceLogic to be the most well-rounded and extensible platform. That means that unlike other platforms that are limited once you roll out the standard offering, ScienceLogic can continue to evolve to handle those other platforms and situations while still providing a solid base functionality for the more common solutions.
Tim Reaves | TrustRadius Reviewer

Scalability

Monitis

No score
No answers yet
No answers on this topic

ScienceLogic SL1

ScienceLogic SL1 7.3
Based on 1 answer
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.)
John &quot;Frotz&quot; Fa'atuai | TrustRadius Reviewer

Return on Investment

Monitis

  • It has been adequate since it identifies my levels of financial indices which I wish to reach or maintain.
  • In the time I had this tool, the control has been more positive than negative, and I like how effective it can be in the different aspects that use it.
Jose Raul Faria | TrustRadius Reviewer

ScienceLogic SL1

  • Flexibility in multi-tenancy allows us to tweak individual customers to allow us to properly alert and avoid SLA penalties for over-ticketing.
  • Provides performance data to reduce overall ecosystem costs in various platforms, such as over or undersized AWS resources.
  • Helps to maintain uptime and detect issues before they can become a full-blown outage, causing loss of faith from customers which ultimately hurts the bottom line.
Matthew Carter | TrustRadius Reviewer

Screenshots

Pricing Details

Monitis

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Required
$5*

* per installation

Monitis Editions & Modules

Additional Pricing Details

ScienceLogic SL1

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Required

ScienceLogic SL1 Editions & Modules

Edition
SL1 Infrastructure Health$01
SL1 Application Health$02
SL1 Service Health$03
SL1 Incident Automation$03
  1. per device
  2. per node
  3. per device
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Monitis
7.7
ScienceLogic SL1
8.0

Likelihood to Renew

Monitis
ScienceLogic SL1
7.9

Usability

Monitis
ScienceLogic SL1
7.0

Reliability and Availability

Monitis
ScienceLogic SL1
7.3

Performance

Monitis
ScienceLogic SL1
7.3

Support Rating

Monitis
ScienceLogic SL1
5.6

In-Person Training

Monitis
ScienceLogic SL1
9.1

Implementation Rating

Monitis
ScienceLogic SL1
7.3

Scalability

Monitis
ScienceLogic SL1
7.3

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