Propel your digital transformation.
I use ScienceLogic SL1 at my job at Kyndryl to provide monitoring services of IT infrastructure for clients and customer support teams.
Starting at $7.50 per month per node
View PricingOverview
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.
Recent Reviews
How ScienceLogic SL1 Differs From Its Competitors
Awards
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Reviewer Pros & Cons
Technical Lead
Computacenter (PTY) LTD (Information Technology & Services, 10,001+ employees)
Video Reviews
1 video
ScienceLogic SL1 Review: Provides Integration Flexibility When Managing Large Volume of Devices
02:00
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
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
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
ScienceLogic SL1 Videos
Watch Eliminating Visibility Gaps While Driving Tool Consolidation
Watch Diagnosing and Resolving Service Impacting Issues with Behavioral Correlation
Watch Automating Troubleshooting for Faster Root Cause Analysis
Watch CMDB Accuracy With Real-time Synchronization of Monitored Environment
Watch Understanding Infrastructure Impact on Apps with AppDynamics
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
- 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 Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac, UNIX |
| Mobile Application | No |
| Supported Countries | Americas, EMEA, APAC |
| Supported Languages | English |
ScienceLogic SL1 Downloadables
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.
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
| Consumers | 0% |
|---|---|
| Small Businesses (1-50 employees) | 0% |
| Mid-Size Companies (51-500 employees) | 0% |
| Enterprises (more than 500 employees) | 100% |
Comparisons
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Reviews and Ratings
(380)Attribute Ratings
Reviews
(51-75 of 141)Companies can't remove reviews or game the system. Here's why
April 21, 2020
ScienceLogic SL1: the good & the bad
It is getting better at integrating, but not all the pieces of data are easily available in the API to build the connections we need. That being said it is more open than most systems, but there are areas to improve in allowing getting bulk data sets easier and faster than the current method.
April 21, 2020
Great Extensible Monitoring (GEM) framework
Currently, we are in the process, of reviewing
April 21, 2020
A decade with ScienceLogic
With the rest-based API native to SL1, a variety of ETL and web-based technologies and pull and push data to SL1 for billing, incident management, automation, and alerting. These capabilities are furthered with the implementation of the integration server by science logic providing 2-way synchronization with Service Now.
April 21, 2020
ScienceLogic SL1 Review from a Solution Architect
Some, with an external billing system.
April 21, 2020
ScienceLogic SL1 Review
We can alert on very specific applications and services running in our Linux environment.
April 21, 2020
10 Years through thick and thin.
Currently no automation of workflows.
April 21, 2020
SL1 for the world
Primarily via integration with CMDB and ServiceNow.
April 21, 2020
Feedback from SL migration over ITM
We integrated SL with our ticketing tool - Netcool. It is running very well.
Currently under investigation.
April 20, 2020
From a non-technical view
Only some incident management and escalation processes.
April 20, 2020
If you want to be alerted...
ScienceLogic is integrated with ServiceNow, allowing incidents to be created when there's an issue. If configured incorrectly, this is an absolute mess and creates a ton of unnecessary paperwork. If configured correctly, it can be a powerful tool for assigning work to teams that need to chase down and issue and for creating a paper trail for issues.
December 28, 2019
Better monitoring with in Budget
SL1 integration with SNOW works well. CMDB sync process is a little hard for me as we have to define every model of the devices in integration to get sync with CMDB of SNOW.
October 29, 2019
ScienceLogic in the enterprise
Currently, we are utilizing ScienceLogic in a ticket escalation fashion. Depending on the severity of the event generated in ScienceLogic determines the priority within our ticketing system. Depending on the priority within the ticketing system, this determines if an outage warrants paging an analyst. For instance, a server going down would be much different than a redundant PSU going offline.
September 20, 2019
ScienceLogic - Thumbs Up
We have not used any ScienceLogic workflow automation tools yet. We would like to explore this area in the future.
August 26, 2019
ScienceLogic is ScienceMagic!
We have a dedicated event management team that manage the events in ScienceLogic 24-7. Within this team, there are a couple of different tiers.
August 24, 2019
Sciencelogic. Put your back into it!
We have largely left Sciencelogic as a standalone system in our environment. While it is the backbone of our alerting and monitoring internal processes, our company doesn't use much in the way of automation for remediation. We have the system generate alerts, that are sent out via email and SMS (via an HTTP API call to a separate SMS gateway) that go to a team of engineers for investigation/potential remediation.
August 23, 2019
Go with a different product, not worth the headache.
Doesn't integrate very well. It takes a lot of man-hours to try and figure out how to get this system to work with other systems, or even figure out if we can use it with other systems. Most of the time, we just have the other systems like Meraki email to ScienceLogic so it will have a ticket we can use to log notes and fixes.
August 12, 2019
ScienceLogic: A Complete Monitoring Solution.
The tool is integrated with our ticketing system (Cherwell) and reporting (PowerBI). We are building an integration with CMDB.
August 08, 2019
Ease of enterprise network monitoring/managing.
We integrate it with ServiceNow and automated to have first level troubleshooting like availability check, once we receive the alerts.
The vast majority of integration and automation is limited by what SyncSever and our own integrations with ServiceNow for Host Composites,
The vast majority of integration and automation is limited by what SyncSever and our own integrations with ServiceNow for Host Composites,
August 06, 2019
ScienceLogic for the city
We haven't begun looking at the automation piece right now. The only workflow we have is Sciencelogic is our MoM tool and all critical events are to create tickets in our ITSM tool which is Remedy currently and ServiceNow down the road.
August 06, 2019
Proceed with caution
ScienceLogic is not being used to automate workflows or processes. Setup is too difficult.
July 27, 2019
Adaptability in Cloud
We need to have a single server or multiple servers configured for the various ScienceLogic components to work together. Then device or server details can be configured to be monitored. An agent can also be installed in certain servers to be monitored, as it keeps communicating with the main system.
July 19, 2019
Science Logic Review
It helped with integrating other tools like service-now, automatically pulled the data from it like, DNS name, monitoring priority, etc.
July 17, 2019
Outdated and Clunky
It doesn't. This is a very outdated system.
Sciencelogic is able to generate tickets into popular ticketing systems such as ServiceNow, with the additional license and integration services that are required.