Skip to main content
TrustRadius
ScienceLogic SL1

ScienceLogic SL1

Overview

What is ScienceLogic SL1?

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.

Read more
Recent Reviews

ScienceLogic SL1

8 out of 10
September 11, 2023
It is used monitoring infrastructe of our client, and [...] provides the management of the software, implementing all the monitoring for …
Continue reading
Read all reviews

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

View all pros & cons

Video Reviews

1 video

ScienceLogic SL1 Review: Provides Integration Flexibility When Managing Large Volume of Devices
02:00
Return to navigation

Pricing

View all pricing

Entry-level set up fee?

  • Setup fee required
For the latest information on pricing, visithttps://www.sciencelogic.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $7.50 per month per node
Return to navigation

Product Details

What is ScienceLogic SL1?

The ScienceLogic SL1 platform aims to enable companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. SL1 uses patented discovery techniques to find everything in a network, so users get visibility across all technologies and vendors running anywhere in data centers or clouds. The vendor states the advantage of SL1 is that it collects and analyzes millions of data points across an IT universe (made up of infrastructure, network, applications, and business services), to help users make sense of it all, share data, and automate IT processes.


With SL1, the user can:

  • See everything across cloud and distributed architectures. Discover all IT components—–across physical, virtual, and cloud. Collect, merge, and store a variety of data in a clean, normalized data lake.
  • Contextualize data through relationship mapping and machine learning (ML) for actionable insights. Use this context to understand the impact of infrastructure and applications on business service health and risk, accelerate root cause analysis, and execute recommended actions.
  • Act on data that is shared across technologies and IT ecosystem in real time. Apply multi-directional integrations to automate workflows at cloud scale.

ScienceLogic SL1 Features

  • Supported: Infrastructure Monitoring (Cloud, Container, Server, Storage, Agent-Based, Network, Application, Database, UC/Video, Synthetic)
  • Supported: Closed-Loop Automations (Digital Experience Monitoring, CMDB & Inventory, Incident & Notifications, NetFlow, Configuration and Change Management, Troubleshooting & Remediation
  • Supported: Topology-Driven Event Correlation
  • Supported: Full-Stack Topology Mapping
  • Supported: Business Service Monitoring
  • Supported: Behavioral Correlation (Events, Changes, Anomalies, Topology)
  • Supported: Analytics - ML-Based Anomaly Detection
  • Supported: Incident Automation - Event Forwarding & Email
  • Supported: Dynamic Baselining Analytics
  • Supported: Manage Workflow Health & Endpoints
  • Supported: Dashboards and Reporting
  • Supported: Log Collection
  • Supported: 400+ Pre-Built Monitoring Integrations

ScienceLogic SL1 Screenshots

Screenshot of Application to infrastructure mapping with APM toolsScreenshot of CRM Business Service MapScreenshot of Mobile Banking Business Service Dashboard OverviewScreenshot of Mobile Banking Business Service Dashboard Availability ViewScreenshot of Mobile Banking Business Service Dashboard Anomalies ViewScreenshot of Business Services Leaderboard Dashboard OverviewScreenshot of Network Hotsheet DashboardScreenshot of Office Network MapScreenshot of Azure Map

ScienceLogic SL1 Videos

ScienceLogic SL1 Integrations

  • Kubernetes
  • Cisco HyperFlex
  • Nimble
  • Hyper-V
  • MySQL
  • Dynatrace
  • New Relic
  • Cloud -AWS
  • Azure
  • Google Cloud
  • IBM Cloud
  • Aliyun
  • CloudStack
  • OpenStack
  • etc.
  • Cloud Services – Amazon EKS
  • ECS
  • Fargate; Azure AKS; etc.
  • Containers – Docker
  • etc.
  • Software-defined Networks/WAN – Cisco
  • VMware
  • etc.
  • Network - Cisco
  • F5
  • Juniper
  • Meraki
  • Riverbed
  • Aruba
  • Avaya
  • Fortinet
  • HP
  • etc.
  • Storage - Dell EMC
  • NetApp
  • HPE
  • Hitachi
  • Nutanix
  • Pure Storage
  • etc.
  • Hypervisors – VMware
  • Xen
  • KVM
  • etc.
  • Operating Systems - Unix
  • Windows
  • Linux
  • Business Applications
  • Databases - Microsoft
  • SAP
  • Office 365
  • MS SQL Server
  • Oracle
  • IBM DB2
  • etc.
  • APM - AppDynamics
  • etc.
  • etc.
  • Storage - Dell EMC
  • NetApp
  • Pure
  • HP/Nimble
  • etc.
  • Cloud -AWS
  • Azure
  • Google
  • IBM
  • Aliyun
  • Openstack
  • etc.
  • Applications -Microsoft
  • SAP
  • etc.
  • Compute -VMWare
  • Microsoft Hyper-V
  • KVM
  • Linux
  • Unix
  • Converged -Nutanix
  • Unified Communications and video - Cisco
  • Polycom
  • Tandberg

ScienceLogic SL1 Competitors

ScienceLogic SL1 Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac, UNIX
Mobile ApplicationNo
Supported CountriesAmericas, EMEA, APAC
Supported LanguagesEnglish

Frequently Asked Questions

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.

ScienceLogic SL1 starts at $7.5.

LogicMonitor, Datadog, and Moogsoft are common alternatives for ScienceLogic SL1.

Reviewers rate Configurability highest, with a score of 10.

The most common users of ScienceLogic SL1 are from Enterprises (1,001+ employees).

ScienceLogic SL1 Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)0%
Mid-Size Companies (51-500 employees)0%
Enterprises (more than 500 employees)100%
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(380)

Attribute Ratings

Reviews

(1-8 of 8)
Companies can't remove reviews or game the system. Here's why
Benjamin Gerber | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Some - we have added small pieces of custom code
Although the product supports the adding of custom code and it is quite easy to add if you are a person that understands Python coding language, but it is kept to the bare minimum, and merely added or altered to fix a bug that have not yet been identified by SciencLogic support team.
August 30, 2023

My ScienceLogic Review

Score 10 out of 10
Vetted Review
Verified User
Incentivized
Yes - we have added extensive custom code
Bespoke Dynamic apps written in Python and it was easy to do if you have developer knowledge and we needed to monitor things that where out of the norm, like logging onto vcentre with an auth token that you get from the API and then presenting this token back to it to log on to get some metrics.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Yes - we have added extensive custom code
We have done limited amounts of in-product coding (dynamic applications). We usually leverage Professional Services to build those as needed for our end-users.

We have done extensive off-box integrations and audits and range the following gamut:
  • User account injection and Secondary Organization Alignment based on external access group definitions.
  • SyncServer Discovery Session Template generation based on end-user Device Template existence.
  • CMDB to SL1 custom monitoring configuration (we lifted and shifted our entire application monitoring semantic from our legacy, homegrown system onto SL1 in about a quarter).
  • Custom code deployment on our Central Databases / Data Collectors / Messaging Servers via our own RPMs and yum repos.
  • Ansible playbooks to handle all configuration of each server type; includes command-line access and named account creation / removal as people enter / leave the platform team.
  • ServiceNow Change Management injection (not all Changes are facilitated by SyncServer).
  • Replacement of SyncServer functionality due to our scale (includes physical device Change Requests which hit 2000 CI limits in the CR and then broke).
While we prefer to use the available APIs, we find that we frequently have to touch the database directly.

Much of our outside-in integrations and coding has been to support our multiple stacks (consistency enforcement).
Return to navigation