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.
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How ScienceLogic SL1 Differs From Its Competitors
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Technical Lead
Computacenter (PTY) LTD (Information Technology & Services, 10,001+ employees)
Video Reviews
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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 207)Companies can't remove reviews or game the system. Here's why
May 17, 2021
Just the beginning
We're still in pilot phase to see if we can get the same efficiencies as other organisations have through their deployments.
- Increased speed and efficiency of onboarding new environments.
- Contextual troubleshooting with IT and Business Services.
- Consolidation of toolsets.
- Requires deep knowledge of the product, time to upskill.
- Do not assume everything works straight out of box, be prepared to develop code.
- Business resistance to change and expenditure.
May 17, 2021
SciLo
We use ScienceLogic SL1 as our modes of monitoring of our devices within the company. We use multi vendor platform that are enrolled in SciLo. We use this platform to schedule maintenance window when we have activities, change, and other tasks. We also use it to monitor certificates and uptime of the devices.
- You can integrate automation.
- Monitoring devices for outages.
- Scheduling for device maintenance window.
- Modernized display or GUI.
- Additional tools for monitoring.
- Device logging.
May 17, 2021
ScienceLogic SL1's Benefits with the environment
ScieLo is very useful, especially to us engineers, it makes our life easier and efficient as the automation from monitoring (networks and certificates validity) and integration to Snow ( ticket creation for any alert/error).
- The automation of monitoring
- The integration to ticketing tools
- Can change schedules and automate the maintenance schedule of the device to prevent alerts
- For now, I can't see any problem with ScienceLogic SL1, however, I think it's good to put an option or settings with the TimeZone, since our office is in AU but we're working in the PH.
May 17, 2021
Good tool, not excellent
We've been using SL1 for some years for infrastructure and application capacity monitoring and we've been satisfied with the tool. The SaaS, agentless, open/customized tool brought us the opportunity to monitor our customer devices with power packs (some good, others not so much) and create our own monitoring collections, presentations, and monitors, which was good. The quick data warehouse and report/dashboard capabilities are a plus for the tool as well, for simple purposes they can fulfill what is required.
- Agentless monitoring
- Capacity monitoring
- Cloud capacity monitoring
- General integration through snippets/api/RBA
- Development documentation is still required.
- Out of the box integration with event management tools.
May 11, 2021
My ScienceLogic Review
Multi-tended customer and internal managed service provider monitoring. Used across the company by technology owners and developers. Addresses inventory and network monitoring system servicing to CDW and its clients.
- Dynamic Applications: Able to build custom applications which makes us more scalable.
- CMDB population: Automatic CI population of assets and attributes provides excellent inventory reporting and helps with billing.
- Dashboards: Excellent ways to build custom views of devices and graphs helps to get a good view of the health of a customer's system.
- Upgrades: Looking forward to the new Yum deployment.
- Interface management: I want to be able to disable/not discover certain interfaces. Filters by type, device class, ifDescr, org, etc. would be lovely.
May 11, 2021
Just a try
Currently, we are using ScienceLogic for one of our accounts as it is a rich platform and it connects so many technologies.
- Correlation
- Incident reduction
- P1 Outage handling
- Dashboards
- On your website, please include a doc for the offline upgrade if it is not there, as I didn't find one.
- ITSM testing with ServiceNow.
- PerconaCluster.
April 16, 2021
ScienceLogic SL1 review and why you should use it
We use Science Logic SL1 as our monitoring and event-based automation tool to help manage our managed service customers networks and infrastructure. We also offer a Monitoring as a Service proposition, where our clients can just purchase a monitoring and automation service only.
ScienceLogic helps solve a number of problems:
ScienceLogic helps solve a number of problems:
- Monitoring of status and performance of assets and services.
- Displays and views via dashboards and Business Service views of the overall health/risk and performance of key higher-level services.
- Event-based automation. ScienceLogic is a great platform to launch automated actions from. It comes with a large number of pre-build infrastructure specific scripts, which are easy to customize (with basic knowledge of Python).
- Integration with other IT deliver tools such as ITSM tooling & CMDB.
- Auto-generation of network maps that show asset dependency.
- Status and performance monitoring with great de-duplication of events.
- Event-based automation.
- Easy integration with ITSM tools for CMDB, Incident Management and Change Enablement.
- Dashboards and Business Service views.
- Network dependency mapping.
- One of the strengths of ScienceLogic is its investment in the roadmap and development.
- SL always listen to ideas on how we think we can improve the product.
We use ScienceLogic across the organization to monitor both our infrastructure and the health endpoints of services, and have found it gives us great visibility of system health. We are currently exploring moving away from competent level dashboarding and moving to dashboarding that will display the business services and show the impact a component failure has on that service as well as any other services dependent or linked to it.
In 2020 we carried out a migration to ScienceLogic’s SaaS platform to remove the requirement of both hosting and managing onsite DBs and this has also opened up new opportunities we are exploring within ScienceLogic.
- Easy to install and configure.
- Good level of detail/information captured from the monitoring.
- Great engagement from account managers, CSM’s and support teams.
- Reduce the time it takes to fix support requests.
April 05, 2021
ScienceLogic - Enterprise Considerations
ScienceLogic brings significant abilities to the table (and on their roadmap) which enable critical business operations (such as maintaining our company website's health and availability) to track against our ServiceNow (CMDB) data and our ScienceLogic (IT Infrastructure Monitoring) deployment. We have replaced our legacy / homegrown system with ScienceLogic to enable our on-prem, private cloud and multi-cloud deployments (sometimes using all three) the ability to ensure health and availability.
We are looking to move to ScienceLogic's AIOps and data lakes to further simplify the transformation of our event-storms to meaningful business information.
- Deep monitoring across infrastructure components and with 8.12 across application layers
- Device discovery which builds infrastructure components
- ServiceNow Integration for CMDB driven device discovery as well as event-to-incident integration and automation
- Runbook Automation controlling notification as well as leading to remediation capabilities
- Event richness enabling detection of leading events which occur prior to a failure
- 12 introduces #multitenancy support which enables Enterprise with many Organizations to share (read-only) properties and performance data across Organizations without compromising credentials with inappropriate access. This is the first release of this feature and we are only now evaluating the well-communicated delivery against our requirements. This has been communicated as only being applicable via the new UI.
- Monitor thyself. We have found data gappiness issues which stem from incomprehensible / non-actionable system messages. The system is unable to communicate SIGTERM when used as a timeout (implying capacity issues) and SIGTERM when actually used as a fault (implying something non-actionable). The advisory services team is going to help, but this needs to be productized and shipped rather than be made available by customer success manager engagement. Things that SHOULD have results but do not should throw a under-collected event by the type of collection which is under reported. This should have a dynamic part of the event giving specific numbers not bland / generic statements that have to be interpreted. The platform team should immediately recognize the fault because the numbers are relevant. These events should be actionable, either referencing KB articles or some other specific remediation plan.
- Data collector load v. capacity planning in both a vertical (cpu, memory, disk) and horizontal (more collectors). The data collector specs are very stale. 4x24G is recommended for 1000 devices but customers frequently view that as individual devices, not the DCM trees found during discovery. Those tend to be my expect N (<= 1000) devices + M (which are barely understood records and which are typically treated as zero, when in fact these devices are what blow through the assumed 4x24G capacity spec). Need a horizontal-infra-scaling event as well as a vertical-capacity-limit event to be thrown when more collectors are needed.
- Actionable events. My end users barely understand the events. Referencing a KB article by URL might help users and admins in remediation. If you already understand the events they are obvious. If you don't, such as timeouts, having an article which helps people identify standard remediation steps will help close outages faster. Most events are contextual. Pointing users at that context will help.
March 19, 2021
SL1 - review
We used it as the AIOps platform to do the proactive monitoring. In addition to that, we are also tied into our ServiceNow. It is used by the department and expanding to BU. The main focus of the ScienceLogic is to provide monitoring in a relationship, this gives the team the opportunity to quantify a lot of gaps that we had before.
- Flexible
- Expandable
- Service provider level
- Very detailed
- Complicated
- Lack of support from SL1
- Support sucks
- PS team sucks
- No SLa on support, it’s a joke
March 11, 2021
ScienceLogic SL1 Review
I have been using ScienceLogic for the past 2 years now and have seen significant improvement in the tool. It is a highly flexible tool and works efficiently for monitoring the entire IT infrastructure from hardware to software to cloud, application and synthetic monitoring. The tools has open snippet codes, which gives you the flexibility to adapt to any type of environment.
- Server monitoring
- Network monitoring
- Application URL monitoring
- Database monitoring
- Dashboard customization process needs to be improved
- Reporting part requires improvement
- Agent-based monitoring needs to be improved
March 05, 2021
Solid Monitoring
We uses SL1 to monitor computer systems for availability and performance metrics. It is used for all necessary monitoring needs across the company. SL1 allows us to very quickly respond to outages as well as making informed decisions with performance metrics.
- SNMP Monitoring
- MIB Importing
- OID Mapping
- WMI Monitoring
- RBAC
- Dashboards
- Device Mapping
It is being used across the whole organization for monitoring the network devices availability and performance. It is used to monitor the devices on various parameters and get the case logged automatically in case of some issue for the appropriate team to look into and get it fixed before the impact becomes huge. From packet drops on interfaces to availability of the device all are being very well taken care by the ScienceLogic.
- Monitor the large set of network devices very well.
- Gives a detailed analysis of system performance in terms of graphs which makes it easy to read and understand.
- Nice GUI to facilitate all the required options in the front without missing the deep dive options in case if someone wants to look into details.
- Placement of the options are in such a way that it is very convenient for the engineers to look into the information they are seeking.
- Taking the auto backup of the devices will be one feature I would like to see in it.
- Running the script on the devices feature will be very useful.
- Firing the command on set of devices will be an added advantage.
March 03, 2021
ScienceLogic is a Logical Choice
We use ScienceLogic as our proactive monitoring platform for our core infrastructure devices, including our VMs, as well as all the devices for our managed customers. The monitoring notification system allows us to notify the key stakeholders, by email of any potential issues before it becomes critical. The flexibility of ScienceLogic is allowing us to tailor the monitoring of each device differently.
- Versatile
- Integrated with our existing environment
- Customize
- Expensive
- No standard template
March 03, 2021
My ScienceLogic Review
ScienceLogic products are used across the whole organization that I belong to. It is a core component of one of our solutions to deliver managed services for our customers. It is also used internally to monitor and manage our own infrastructure.
- Network Discovery: It is able to discover devices based on a plethora of mechanisms (SNMP, API, Netconf, etc.) with little effort.
- Event processing: It includes event policies for a massive number of technology-specific events with a granular severity classification schema.
- Dynamic modeling: It is highly accurate in determining which collections (performance, faults, etc.) are aligned to each network node or component based on the discovered device class.
- Reporting: The reporting engine embedded in ScienceLogic is not really robust and does not provide a development framework that provides the level of sophistication demanded by certain technologies.
- Scalability: ScienceLogic DB does not scale very well for large networks or, at least, the sizing criteria are not clearly defined.
- Integration with ITSM systems.
March 03, 2021
Initial thoughts on ScienceLogic SL1
We are using ScienceLogic SL1 for our managed services business. It is used to manage and monitor all internal infrastructure as well. As of yet, we haven't addressed any milestones from our previous monitoring tool. COGS are a first-hand business problem that it has addressed.
- User friendly
- SNMP monitoring
- Powerpacks
- Dynamic applications features
- BGP monitoring
- Improve Windows monitoring
March 02, 2021
Flexibility, performance, and capability. Ideal platform to do more than you expect from a single product.
As a managed services provider, we use ScienceLogic internally as well as in support of our customers for monitoring. We utilize it for availability and performance monitoring across all customers and internally. The data gathered is also used for sizing/re-sizing, application requirements planning, and continuous improvement cycles. We utilize the platform for automation for remediation and alerting/ticketing.
- Flexibility and coverage for the full spectrum of device types and use cases.
- Robust automation and event management interaction.
- Ability to write custom snippets for various actions/collections creates high customization ceiling for solving problems.
- HA/DR requires dedicated physical hardware to my knowledge.
March 02, 2021
Very good, not wonderful
Disclaimer: We are heavy users.
Review: It is a great tool, however, there are still some gaps.
We were impressed, at first sight, with the easy way to monitor anything in an agentless way just by using specific powerpacks, however, in a few months we realized it was not so simple. It is a trade-off between the pros and cons.
From the perspective of service provider and internal users we use and support sciencelogic in internal (in house) and external (offering) in order to address the monitoring for several different technologies (as databases, hypervisors, cloud, operational systems, etc). So the pros and cons:
Pros:
1. Agentless monitoring is surely the future. In a small environment it does not matter, however when there are thousands of servers, appliances, etc, do not botter with agent patching, install, reinstall, etc, is a relief.
2. Snippets can be used to customize or get the information exactly as you need
3. Runbooks can save a lot of time. When you get used to the possibilities in the tool, the runbooks can save some time and you can even start using data that usual tools cannot.
Cons: You need to pay way more attention to the network, appliance hardware/usage, need to code, etc. IF you want to fully use the tool.
- Agentless solution minimizes the time we spend patching for security needs.
- Report and Dashboard are easy to create and use
- Price
- Easy customization
- Runbook automation
- The data collectors/database required hardware is way more complex than the documentation indicates. When you use more "heavy" collections (such as PowerShell), achieving 5k devices or more you will need some hundreds of RAM for your database and some dozens of RAM for your collections.
- There are several powerpacks that need to be enhanced (some are really bad). We had to develop several snippets on our own.
- If you want to use the tool a little bit deeper you should program in python and know what is being monitored.
- Not a good solution to monitor logs (agentless solution that requires an agent to monitor logs)
March 02, 2021
Powerful but complicated.
As we are a large company we have many different requirements and due to the way ScienceLogic works we are having to spend a lot of time creating standards and disabling some features from the product that may impact on our customer's requirements. Regarding tool the specifically, it seems to be a very powerful tool but as the famous phrase from Spiderman says, with great power comes great responsibilities. The level of knowledge from the maintainers must be on a higher level than the previous tools required.
- Flexibility through scripting.
- Easy installation and upgrade.
- Wide community on the internet.
- Unwanted automation that causes rework like the auto alignment monitoring.
- Database monitoring on a full spectrum.
- Old GUI still connected with Nagios.
March 02, 2021
SL1 Datacenter Monitoring
ScienceLogic is being used in a datacenter environment for monitoring computers, storage, and network resources. The datacenter administrates SL1, and all other departments are the customer. It addresses the problem that previously no central platform existed for the capture of events across multiple platforms.
- Discovery of different types of devices in one session using multiple credential types
- Very custom dashboards
- granular roles and rights
- Support could be more responsive
December 05, 2020
SiLo prevents silo's
It is the core of our Atlas Integration Framework and Platform. It is used to discover, monitor and provide AIOps internally and for our government customers. It addressed various issues from visibility to analytics.
- Discovery and Monitoring
- Contextual Analytics
- Integrations to ServiceNow
- Dashboards
- Reporting
- Training
June 26, 2020
In a world of shiny objects and hip new projects, ScienceLogic is a blast from the past.
Used to monitor servers, network, and application. It is mainly used by IT only. Application monitoring proved to be difficult, so most of that has been written in-house or leverages other monitoring tools and events are sent to ScienceLogic.
- The platform has been relatively stable. As far as I know no outages outside of upgrades.
- The platform has good out of the box support for common enterprise platforms like VMWare and Pure Storage.
- It provides a nice event viewer for a single page displaying all events happening in your environment.
- The point in time nature of the data points can be misleading. The data would be more valuable in some cases if the 5 minute polling interval was an average value of the previous 5 minutes, not point in time when the collection happens.
- Container and Kubernetes monitoring is poor. Granted we are a few months behind of upgrades, so haven't been able to try out the latest versions.
- Snippet development within the platform is not ideal. There really needs to be a way to source snippets from Git repositories, so code can be versioned and tested outside of the platform.
- Testing snippets outside of the platform can be challenging. We would really like to have some mock test framework we could pull into our testing suite so unit testing complex snippets is easier.
June 04, 2020
ScienceLogic SL1 Review
I use ScienceLogic SL1 to perform infrastructure monitoring for my customer. It addresses the following business problems: (1) We use separated monitoring tool in server & network environment before and use different method to monitor. We choose to monitor server & network devices in one tool. (2) Auto-scanning for inventory is what we like to use.
- Auto-scanning for inventory registration
- Write your own powerpack and can use in all similar environments
- No agent installation required to perform monitoring
- Need Python skill
- Remote connection method for monitoring may be blocked by security compliance control
- Each server or monitoring target will require credentials stored in SL1. If different devices use different credentials, they may cause trouble.
May 18, 2020
SL1 allows you to monitor more, with less noise.
We utilize SL1 to enable and empower our customer to monitor their IT estate and services and drive down their MTTR's.
We are give them unparalleled visibility into their most critical business service, to reduce event noise, utilize event correlation and look at key metrics thus enabling them to quickly and effectively diagnose, root cause, identify resolution groups to remediate the incident and reduce the costly downtime.
- Event correlation.
- Solid architecture.
- IT Service monitoring.
- Complex.
- Steep learning curve.
- Dated UI.
May 04, 2020
The tool that keeps on evolving
Currently, it's employed in our managed services practice across a couple hundred clients. We utilize ScienceLogic SL1 for alerting in break fix scenarios as well as health reporting in multiple technological disciplines.
- Customization
- Support
- Pricing
- Clarity around alerting
- Roadmap for alerting and technologies
- GUI and ease of use
- Reporting