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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
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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

(1-14 of 14)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Reports extraction is very difficult and at times it doesn't work.
  • Taking our server configuration report is difficult, and it is a cumbersome process like all monitoring enabled with all threshold parameters running in a server.
  • Creating Virtual DB servers credentials is difficult.
  • To find credentials aligned in a server is difficult.
  • Segregation of servers with collection data vs ping monitoring servers.
  • PowerPack upgrade is a cumbersome process as most of them are used as community PowerPacks, and PS creates those, and only PS can support and no one else.
August 30, 2023

My ScienceLogic Review

Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Bespoke Dynamic Apps
  • Discovering AWS Could services and devices and disabling what you do not require to save licenses
  • My List is small for what I find cumbersome
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Our deployment goes to great lengths to allow the vast majority of our users to ignore most of the legacy user interface by focusing on a few local / cultural works to trigger behaviors which those users need to execute (RunTest, AppMon Bypass). The 8.12 Unified UI solves these issues. We are currently evaluating when we can move our end-users to that Unified UI later this summer.
  • Designing whether ScienceLogic should participate with ServiceNow in a multi-master scenario or if ScienceLogic should be the single-master or if ServiceNow should be the single-master requires assistance. Cisco IT prefers ServiceNow as our single-master allowing us the flexibility of repainting a configuration downstream if things go sideways. This is an Enterprise Use Case concern.
  • We generate Availability and Critical Ping runbook automations for each of our end-user teams (by Organization). The design and implementation work was left as an exercise to Cisco IT. We will be looking for ways to encourage ScienceLogic to make this Enterprise Use Case concern simpler for future Enterprise adoptions. Our implementation was complicated by our desire to NOT use ServiceNow group data. We expect this to be migrated to the new Integration Server as we continue to morph this integration over time.
  • Multiple stacks (an Enterprise Use Case concern) is a challenge for configuration, especially if you design for rebuild repeatability. We've lost disks on our secondaries on one stack and have been forced to rebuild because we failed to estimate our disk capacity correctly. We originally estimated 1.2TB, but due to our scale, we rebuilt (several times) against 4TB internationally and 26TB domestically using RAID-0 with a dual-data center DR configuration. We found that RAID-6 cost us database speed on UCS 220C bare metals. We found that RAID-10 was better, but that RAID-0 was the fastest. We accept the DR fail-over model as our resiliency strategy rather than a full backup (since we're downstream from the CMDB and almost everything is disposable and repaintable from the single-master). We didn't find out these problems until after we had started deploying to the production environment which meant full rebuilds on each of our 8 stacks. The reconfiguration after each rebuild was made simple only because we reverse-engineered the authentication configuration and all other central database configurations and pushed those into our Ansible playbooks.
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