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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
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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
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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
(51-75 of 207)Companies can't remove reviews or game the system. Here's why
October 03, 2022
SL1 Review
- Alerting and ticketing
- Automation
- Great support when needed.
- Can be a bit hard to navigate\find devices and whatnot
- Resource utilization
- Knowledge base could be flushed out more
October 03, 2022
SL1 event management
- incident management
- servers and network monitoring
- performance reporting
- route cause analysis
- reporting need to be enhanced and have more friendly interface with more features
- dashboards need to be more vibrant and easy to use
- agent usage is good for keeping performance data on the managed server
September 29, 2022
ScienceLogic SL1 Is A Reliable, Extensible, And Scalable Solution
- Automation in terms of alert and ticket enrichment with diagnostic details
- Incident ticket reduction, reducing operations workload
- Alerting and ticketing
- Account team is outstanding, very supportive on issues and with feature requests
- Support is great, especially on the critical issues when you need them
- ScienceLogic aggressively pursues customer engagement and improvements.
- Recently added ChatOps and Ideas Boards are examples
- Dynamic application and Powerpack framework enables quick build and share and as such many community built Powerpacks are available
- Dashboards have limitations in a couple of large enterprise use cases. New UI appears to be addressing these as it matures and resembles techniques seen in other enterprise tools
- Percentiles and baseline / deviation calculations on standard metrics are not what we've seen in the past from enterprise tools. However, more complex anomaly detection is now available as an advanced function
September 28, 2022
ScienceLogic insights
- With the use of PowerFlow and sync Pack, integrate and simplifies the Onboarding process.
- The Use of Global Manager puts forward a Holistic view of your entire tooling Infrastructure through a single glass of pane.
- Monitoring various Network and storage device vendors and the support can be requested pretty easily for any new vendor make or model via support page.
- Cisco ACI Monitoring has some challenges with Rest APIs as we are facing some issue with the endpoint alerting which we don't have a way to properly snooze.
- Alerts or KPIs needs to be flexible so it can adept easily while we migrate form any other tool in the market.
- Tool should provide Flexibility locally in the configuration so that we don't have to alter the Global settings until/unless thing is required on a Global span.
September 27, 2022
Short review from system monitoring perspective.
- Data flow.
- Manage system.
- Reporting
- UI
- Automatization.
- Resource consumption.
September 26, 2022
ScienceLogic the Next Choice?
- Monitors CPU's, memory, swap space on servers.
- NIC cards such as discards, errors, latency and availability.
- Logs are collected and made easily viewable through 'Investigator'.
- Coming from the Network side, bps and pps are hard to see.
- Finding devices in the product isn't intuitive.
- Map usage is very clumsy and seems to be added as a last thought with little functionality.
- Lacks a single pane to quickly see what's up or down.
September 23, 2022
great application, iffy support
- Ticketing system
- Monitoring
- Inventory
- Helpful Reports
- support
- communication
- lack of knowledge occasionally on new update breaks
September 22, 2022
My review about SL1.
- Email notification alert.
- Reporting
- Dashboards
- Performance
- In some cases, there might be some spike in CPU or Memory. Even though we receive an alert for it but we are unable to find which process consumes more CPU or Memory. We need that process details as well in the tool.
- SQL monitoring for non domain servers.
- More manuals on storage devices monitoring.
September 20, 2022
ScienceLogic SL1 review
- it is able to collect data via SNMP
- it is able to graph them
- it is able to receive Syslog messages from devices and create events from them based on defined rules
- I'm not sure whether it is doing above things particularly well but it does them fine
- from my experience so far, customization options are really poor - although you can write your own scripts in several places, their interaction with ScienceLogic SL1 back-end is hard to debug and appears to be reliant on undocumented proprietary python libraries
- options to integrate with other software suffer from the same points as mentioned above
- In my experience, UX/UI has been quite unpleasant for me and my colleagues
- Ping monitoring and polling reports are very good. Customer-first looks for this feasibility and how closely it can monitor that is well defined in ScienceLogic SL1.
- Collectors' connectivity with SL DB is very stable. We hardly see issues of any connectivity failing. Agentless is far better and easy to handle and use than other tools. The best part is plug and play type.
- CDM monitoring, it really does well and has wise poll reporting.
- The dashboard is really awesome. We use and showcase to customers their servers as a whole, and for one server, a lot of details can be checked under the performance graph.
- Bulk Onboarding/Offboarding is so good in ScienceLogic SL1. Search criteria are matchless. ScienceLogic SL1 has such a beautiful, organized field.
- Suppression alerts, FS is so well defined, easy and quick to use.
- ScienceLogic SL1 has improved so much in defining license consumption, which shows license consumed against all items.
- Log monitoring and event monitoring should be defined and should not be enabled with event ids. We have to create a duplicate Dynamic App if different events ids are to be enabled as per application. More visibility and descriptions should be included in the Log and Event id monitoring description.
- Database monitoring should be enhanced, and more advanced features should be added, such as replication, DB mirroring, DB Sync, Log Shipping, etc. So far, with the Dynamic app, we can't monitor DB status. The same goes with virtual server addition, we don't get DB status alerts which is deadly required. The same goes for all the DB like Oracle, Postgres, MySQL, and others. Numerous features and capabilities should be there. You may take the example of CA UIM, which has more than 75 parameters to enable against DB. ScienceLogic SL1 is lacking badly in this area.
- UNIX servers cluster monitoring is not that good, we can only monitor cluster nodes' status, but there are more that can be captured as part of features.
- TOP 10 processes and services should be captured for CPU and Memory. We don't have such things yet that can be enabled or found in a server.
- HADR, AS400 are majorly asked for by customers but till now it's not available.
- Application deep level monitoring is very limited in scope, such as HTTP, DNS, AD, and others.
- ScienceLogic SL1 reports don't work so well. They need to be worked on it for internal troubleshooting purposes.
- Hardware, Backup, and Storage monitoring are very limited in scope, which should be increased.
- Traps based monitoring should be encouraged more from ScienceLogic SL1.
- Monitoring with advanced features of Active Directory, DNS servers, Exchange servers, etc., should be more in scope.
- The most important thing, PowerPack, which is in ScienceLogic SL1, should be tested well and should be released only with the consent of the Application/DB team.
- There should be a team who should work on Community PowerPack so that if the customer wants to make it and use it via general availability should be available.
- Customer support and follow-up have gone down over the past two years as if they don't bother, which has a negative impact. Customer is big or small. SMEs who work ideally send out messages to other organizations about how good a tool is or how bad its support system is.
- A quarterly training session should be organized, as in real terms, your ScienceLogic SL1 is driven by SMEs who work on your tool, and many of the wrong impressions are sent due to SMEs' ignorance even if the tool is good.
- I see the big scope of ScienceLogic SL1 as a monitoring tool provided 10% of ScienceLogic SL1 product is improved. The demand for 10% is so much, and it's not good that it's the main reason your 90% good things are sidelined.
- Managing your files efficiently.
- The environment is quite basic.
- A very potent instrument, ScienceLogic SL1 is.
- Data management for large-scale projects is notoriously complex.
- Performance is slowed down by the option to move large amounts of data.
- As a new user, it might be difficult to set up the platform.
June 11, 2022
ScienceLogic SL1 is a Powerful and Reliable Cloud Multiple Services Automation Platform.
- ScienceLogic SL1 is very powerful tool.
- Setting is very simple.
- Effective files management.
- Not easy to deploy the platform when new user.
- Large project data management is very tricky.
- The ability to migrate big data slows the performance.
June 11, 2022
Review
- Installation of Appliances is simple
- UI is good
- It supports many Protocols
- APM is required
- Agent should be available for On-Prem solution
- AIOPS functionalities should be available for On-Prem solution
- Easy on data manipulation.
- Flexible on usability.
- Functional data modeling Cloud capabilities.
- ScienceLogic SL 1 is not an easy platform to configure the features.
- Not easy to navigate when a new user.
- The features accessibility can be more accessible.
June 06, 2022
Technical opinion
- Accurate monitoring.
- Monitoring automation.
- Alarm reporting.
- Hardware requirements too high.
- Tracing tool.
- Professional reporting tool.
June 02, 2022
SL1 Shines
- Automation engine - easy to take scripted action on specific device events.
- Automation action open source - the platform allows you to custom build snippet actions with Python to remediate any unhealthy event detected on devices.
- Manager of managers - the platform has several ways of receiving inbound alerts and alarms not only from directly monitored devices but from 3rd-party solutions in the form of traps, emails and REST API connections.
- Built-in Reporting - the reporting engine that comes with the platform is woefully inadequate to perform most of any report request that is not a very simple and basic output of data.
- Continuous Integration/Continuous Deployment support - the platform is bound by Power-Packs for deployment of monitoring solutions for specific device types. These are great when first starting out using the platform as they allow you to on-board several types of device support, but when you mature and start building your own actions and monitoring solutions, they are cumbersome to work with.
- Current Platform Architecture - the main CDB design requires lots of memory and CPU to handle the load of all the threaded processing of even a few thousand monitored devices. To scale up to several thousand or tens of thousands if devices becomes a pricing hurdle. Also, in a cloud deployment strategy, this processing power comes at a hefty price for cloud resources, not including the pricey SL1 license costs as well.
- Custom development support - when you start developing your own snippet actions for monitoring custom devices or solutions, ScienceLogic only provides a pay-for Professional Services resource to assist you in even the smallest of development questions. The product customer support desk will not spend time discussing development solutions and providing development support. This has been an issue for SL from the beginning and the company needs to put together a development support arm.
June 01, 2022
ScienceLogic SL1 Review
- Cisco device monitoring
- Ticketing integration
- Trap ticketing
- Release power packs for new products faster
March 23, 2022
SL1 - Early Adopter
- ITSM workflow automation and monitoring
- Seamless Integration with other observability platform tools
- Provides context between infrastructure, application, and business services relationships
- The elimination of on-premises collectors
- Improve out-of-the-box reporting capabilities
- Allow for more robust dashboards
March 23, 2022
SL1 - strategic monitoring tool of choice
- VMware vSphere stack monitoring
- Linux operating system monitoring (ssh)
- Historical performance data gathering and presentation
- Consolidation of functionality into a single PowerPack. e.g. Microsoft: Windows Server
- Search feature for historical events. Currently have to check individual devices.
- Need the ability to template thresholds on Linux devices based on Organization and filesystem name.
March 03, 2022
All in one AIOps solution
- Discovery of IT devices and update the CMDB
- Network device performance monitoring
- Event correlation of IT Devices
- SL1 uses remote monitoring technology for server device monitoring, using PowerShell, WMI, and other protocols which are cumbersome to deploy required lots of effort to open the ports and start initial monitoring
- Remote monitoring technology brings some challenges such as a number of devices to be monitored per collector.
- Procuring remote monitoring pre requisites are time consuming and error prone
- Log monitoring & management required significant improvement
- Data analytics & management required significant improvement
February 15, 2022
Science Logic EM7 SL1 Release for Service Providers
- Event logging
- Event escalation
- Monitoring of applications
- Collection of data
- Ticketing platform is being deprecated
- UI not intuitive for most users
- SL1 is not complete in functionality
December 13, 2021
My view on ScienceLogic SL1
- Escalation support for EM7 product
- Flawless handover between support engineers during a P1
- Online Training
- Service desk support needs improvement. I would love to get minimal questions from SD agent during a critical P1 support call when [the] customer is referring a case number
- Support engineer knowledge on IS product needs improvement
- Delay in Engineering teams support during public holidays and weekend support
- Percona support and response needs improvement during crisis
November 30, 2021
Good product!
- UI is good.
- Alerts feature has been beneficial.
- API makes it easy to pull data for developers.
- API are not robust since they fail sometimes due to multiple requests.
- API documentation could be bettered.
- UI is a little slow and dodgy sometimes.
- Powerful monitoring capability, can ingest data from a lot of sources
- Good multi-tenancy features
- Extensible - can write your own powerpacks/code snippets
- Built-in automation features
- Business Services
- The interface - it is out of the 1980s. Version 8.14 is current and I believe a new version is coming with a new interface. UPDATE - the new interface is much, much better.
- Community - not a huge user group like you have with other software. i.e. - very few blogs on features/how-tos etc.
- Monitoring items in VMware is a bit cumbersome, You need to monitor the vCenter endpoint. It will drag in all components relating to it. If you wish to see metrics for particular machines, you also need to create and manage a discovery for that machine--something as simple as file space usage.
- Powerpack support. If you use a powerpack that is community-built, getting support for this is tough.
- Support does not have a chat option, however it is typically good.
- Discover the whole environment
- Getting granular details about the nodes in the environment
- Dynamic alignment of monitoring applications
- Agentless monitoring
- Understanding the inbuilt Maria DB schemas and data structure
- Details on the Dynamic Applications Snippets and the associated core Python scripts created on the servers
- Changing any details on the backend [via Database] not reflected in front end [GUI]