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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

(1-22 of 22)
Companies can't remove reviews or game the system. Here's why
Score 9 out of 10
Vetted Review
Verified User
Incentivized
50
ScienceLogic's SL1 support team include system architects, site reliability engineers, technical support staff, program and delivery managers, incident and change dispatchers and software engineers. Sciencelogic support requires very good knowledge of infrastructure components such as network and server hardware, virtualisation systems, network protocols, operating systems knowledge, scripting skills and experience with SQL
Benjamin Gerber | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
20
We have most of the skills in-house to support ScienceLogic SL1 on an on-going basis. Most of them come from a tooling background and have been working with similar products. I started implementing SL1 with the team, and was involved on the Wintel side to figure and sort out all the snags during implementation. I then started to explore SL1 and how it could make my job easier, and it put me on a path to get my operator certificate, as well as my Professional certificate. I create dashboards in AP2 for the different organizations.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
16
Highly capable and broad platform of capabilities, many of which are easily and quickly adoptable at scale and pace. product approach to integration and power-packs makes delivery within a technology-rich, or large and complex enterprise landscape a relatively east and repeatable activity.
August 30, 2023

My ScienceLogic Review

Score 10 out of 10
Vetted Review
Verified User
Incentivized
7
1 Automations and monitoring Lead Engineer, a person who looks at things and works out integrations with third party bespoke monitors. 1 Sysops Manager, manages the first line of support who's team ensure that the relevant IT areas are notified of issues being shown in monitoring. 5 Sysop engineers who handle the ad-hoc IT requests and fault cases/monitored alert that are reported to them
Score 10 out of 10
Vetted Review
Verified User
Incentivized
6
Six people support five customers. They are well skilled and, at times, help the ScienceLogic SL1 support team when they get stuck technically and in term of feasibility and feature discussions.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
15
Python developers (or those developers migrating from Perl) Able to create RPMs Able to create Ansible scripts Able to create web interfaces Able to interact with ServiceNow APIs at speed. Able to create CLI infrastructure. Able to create ELK stacks and facilitate deep product operational state analysis Scrum Master Product Owner Functional (People) Manager
Score 8 out of 10
Vetted Review
Verified User
Incentivized
20
ScienceLogic resources need to be almost purely technical. It is an "open" tool, so the resource needs to know how to code (specially in python), needs to understand about network, operational system, technologies to be monitored, etc. Only a very small part of the team, most of them more close to the management, will be there, however focusing more in dashboards and reports.
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