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
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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
Video Reviews
1 video
ScienceLogic SL1 Review: Provides Integration Flexibility When Managing Large Volume of Devices
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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
(76-100 of 202)Companies can't remove reviews or game the system. Here's why
May 17, 2021
ScienceLogic SL1's Benefits with the environment
- We can gain more clients as we were able to monitor all their devices and assure that all network connections, load balancers, and servers are working good
May 17, 2021
Good tool, not excellent
- Good: agentless deployment, less time with installations.
- Good: good out-of-the-box powerpack for most common systems, resulting in faster implementation.
- Not so good: Specific power packs are very bad, need to create custom snippets/dynamic apps.
- Not so good: huge appliances. We need more hardware to run the database than our production business high load oracle system.
May 11, 2021
My ScienceLogic Review
- Good impact: having a monitoring system that can be managed by anyone in our organization, not just a developer or NMS admin.
May 11, 2021
Just a try
- Consolidate all tools and acts as MOM.
- CMDB accuracy.
- Real time based discovery.
April 16, 2021
ScienceLogic SL1 review and why you should use it
- SL1 has simplified our event monitoring system, taking less time to manage than competitor products.
- SL1 is starting to save engineering time by reducing the effort and time taken to get the information required during the Incident process, reducing the Mean Time to Repair (MTTR).
- SL1 saves time as its discovered asset information can be auto update the CMDB.
- SL1's deep monitoring catches more events before they turn into Incidents enabling a more proactive approach.
- Where we have implemented automated restarts we have seen the engineer requirement to restore service reduced to zero.
- Automated restarts have also drastically increased service recovery time.
April 05, 2021
ScienceLogic - Enterprise Considerations
- For us, the ROI has been positive, but the specific ROI isn't the money spent on ScienceLogic itself, it is the money invested in the skills of the engineers who now leverage the platform to maintain our high standards of availability and performance monitoring while trending over years (5-10+). Those resource costs and investments far outweigh the cost of ScienceLogic and not only retention but valuation of those skills more the covers the specific ROI on ScienceLogic itself.
- Coming from a history of two decades of homegrown build (e.g. free), the cost of ScienceLogic feels like a questionable value, but when measured across the resources educated to use the ScienceLogic platform, the ability to quickly ramp up those same resources on technologies they may have scant knowledge of and be successful is incalculable.
March 19, 2021
SL1 - review
- Replacement of another tool
- Availability
March 11, 2021
ScienceLogic SL1 Review
- Complex prerequisites for agentless monitoring
- Agent-based monitoring scope should be improved
- Administration can be leveraged
March 05, 2021
Solid Monitoring
- Some cases have proven to be very beneficial to use ScienceLogic, like where availability is key.
- The previous point is a double edged sword because in the event that something does not work correctly you can potentially have false confidence.
- ScienceLogic can always be used in a way to show its value but sometimes it requires another step in the right direction to do so.
- It stands up on our objective to monitor a large set of device availability and device performance across the globe.
- It integrates very well with other tools available for some other specific purposes.
- Support for Graphical approach has helped in presenting the data in more efficient and readable formats.
March 03, 2021
ScienceLogic is a Logical Choice
- Being proactive
- Allow for release management
March 03, 2021
My ScienceLogic Review
- Scalability, positive
- Documentation, positive
- Agility, negative
March 03, 2021
Initial thoughts on ScienceLogic SL1
- COGS reduction
March 02, 2021
Flexibility, performance, and capability. Ideal platform to do more than you expect from a single product.
- Flexibility in multi-tenancy allows us to tweak individual customers to allow us to properly alert and avoid SLA penalties for over-ticketing.
- Provides performance data to reduce overall ecosystem costs in various platforms, such as over or undersized AWS resources.
- Helps to maintain uptime and detect issues before they can become a full-blown outage, causing loss of faith from customers which ultimately hurts the bottom line.
March 02, 2021
Very good, not wonderful
- Transitions took longer than expected (longer ROI)
- Support is easier in steady state (highering ROI in long therm)
- Learning curve is short for daily usage ((highering ROI in long therm)
- The cost of the appliance hardware is higher (lowering ROI in short therm)
March 02, 2021
Powerful but complicated.
- Still not possible to measure and personally I'm not involved in the money area.
March 02, 2021
SL1 Datacenter Monitoring
- ScienceLogic has led to teams being more proactive in addressing problems.
December 05, 2020
SiLo prevents silo's
- It has increased the productivity of our service desk and support engineers.
- Increased growth opportunities.
- Job Satisfaction.
June 26, 2020
In a world of shiny objects and hip new projects, ScienceLogic is a blast from the past.
- I haven't seen any positive ROI from using ScienceLogic
- The negative ROI is because we went from using in house and free monitoring tools to an expensive tool that provides very little addition features.
June 04, 2020
ScienceLogic SL1 Review
- Need to consider monitoring quantity. More monitoring devices may have more savings or demonstrate the speed for deployment.
May 18, 2020
SL1 allows you to monitor more, with less noise.
- Reduced MTTR.
- Better cross SILO interaction.
- Single pane of glass (reduced running costs).
May 04, 2020
The tool that keeps on evolving
- Cost per device and sales to customers has been an improvement.
- Negative impact on LOE to tune alerting for multiple disciplines
- Due to the integrated nature of the SL1 Platform, we can provide more feature functionality out of the box than other similar products. This directly impacts ROI.
- Low entry price and quick deployment time add up to a good ROI.
- Additional training may add costs.
- Quick delivery allows the teams to focus on the operations rather than a long deployment project.