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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.

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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 …
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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

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Video Reviews

1 video

ScienceLogic SL1 Review: Provides Integration Flexibility When Managing Large Volume of Devices
02:00
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Pricing

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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
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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%
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Comparisons

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Reviews and Ratings

(380)

Attribute Ratings

Reviews

(26-50 of 121)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • A vendor did not have a supported remote reporting object for a specific scenario in their network setups, so we wrote a collection application that utilizes SSH connections and regex processing to provide extremely detailed and accurate monitoring and alerting of network status for hundreds of sites.
  • Creating customer copies of specific events with filtering allowed us to provide alerting capabilities for proprietary customer applications.
  • We use automations for ticketing creation and resolution in an external system.
  • We use the monitoring data for resizing AWS resources to optimize costs.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Start simple automation through e-mail receiving in the tool
  • Use the reports to analyse cloud environments
  • Use the component device topology for a visual view of some environments
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Using the vcenter PowerPack, we are taking events generated from vcenter and having them as emailed alerts, such as when vcenter begins to become unhealthy.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Powerpack can't fulfill every customer 's environment and needs to be modified or rewritten
  • Virtual devices provide application event monitoring
  • Inventory scanning can provide us automatically a way to collect inventory
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Unfortunately, due to the nature of the business model we are operating under, innovation has not been a priority. That is changing.
  • One of the areas of innovation which we want to pursue is integrating with Splunk to provide data to Splunk for analysis as well as a single pane of glass approach to user access to Splunk through the ScienceLogic SL1 UI
  • Using the ability to add custom fields to help identify devices that are not represented in the CMDB and close the gap on the completeness of the CMDB
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • We've been able to create our own code for monitoring previously unthought of platforms.
  • We've been able to reduce swivel chair in a manner we did not think possible by sharing data via API.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • We were able to write customer monitors to watch all sides of our business including our domain registrations.
  • We have dashboards that break out groups and their devices allowing them to see when something is going on in real-time. This has allowed us to stop fighting fires and be more proactive.
Robert Gruener | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • The monitoring of Linux hosts and Docker using SSH.
  • Driving customer focussed notification processes using a rules engine.
  • Dramatically reducing notifications by grouping events and controlling flapping
  • Enriching event handling using automations
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