My review after working so closely with ScienceLogic SL1 as monitoring tool.
I am an SME in HCL Technologies for the ScienceLogic SL1 monitoring tool and have five ScienceLogic SL1 customers in a shared environment. …
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
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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
(101-125 of 207)Companies can't remove reviews or game the system. Here's why
- The ability to mix collection methods makes ScienceLogic SL1 particularly flexible.
- Built-in device-specific dashboards provide a one-stop place to see everything associated with a monitored device. It's good to see the new UI has continued this with the device investigator.
- API access to pull from or push to the SL1 platform is a powerful aspect of the integration capabilities of ScienceLogic SL1.
- Easily adding new data points makes it easy to expand the scope of the collected data and the importance of the ScienceLogic SL1 platform in the enterprise.
- Reporting: The reporting mechanism is too complex for the average user. An easier method to query the underlying data would be very beneficial.
- UI inconsistencies. The new UI appears to resolve that.
- Documentation: while there is a vast amount of documentation, examples that are applicable to the real world would go a long way towards the adoption of more features of the platform.
- Quick Infrastructure discovery.
- Correlation of the discovered events to the services they affect.
- Automated baselining.
- Short deployment time.
- Low price when compared to the competitors.
- Integration with other systems (ticketing, change, etc.).
- Compliance with the industry standards (ITIL).
- Ticketing system could be improved.
- User interface can be confusing to the new users.
April 29, 2020
New concept of monitoring
- Discovering.
- New technology.
- Adaptation.
- Scheduling.
- Log monitoring.
- Message collectors.
April 28, 2020
Great Monitoring Tool
- SL1 can be used to monitor any kind of devices both physical and virtual including cloud systems.
- SL1 gives you the ability to automate tasks using simple pre-define templates.
- SL1 uses AIOPS, which is one of the best practices for this modern times for any tool.
- Better user interface.
- API integration with other tools.
- Message collector for syslog should be incorporated, not an option.
- Diverse coverage.
- Experienced team.
- Strong technology.
- Pricing not always competitive.
- Cannot always cover all layers of technology and need to integrate.
April 25, 2020
Single Solution Platform for IT
- Real time discover
- Analytics/machine learning
- Data lake
- Real-time context
- AIOps
- Derive relationships
- Applications, infrastructure, cloud, and IoT
- IT operations
- Refine data
- Real-time context
- Distributed architecture
- Network
April 25, 2020
SL1 Automation: AI ops is the future
- Flexibility to customize almost everything, thresholds (per device), access, etc.
- Amount of data in product, closest to single pane of glass.
- Ease of use, navigating product is simple. New UI is great.
- Ability to utilize Downstream Suppression within different organizations. Monitoring multiple organizations requires an all or none with downstream suppression.
- Access and hooks to the product can be cumbersome and almost too granular.
- No configuration management or Netflow data. These additions could be game-changers for the product.
April 24, 2020
ScienceLogic collapses multiple NMS into one and provides un-thought of before benefits
- Developer friendly
- Easy to train customer base on its use.
- Architecture/stack is modern.
- The support process is slow.
- Support level one has proven very unhelpful to power users.
- The upgrade process is tedious and prone to failure.
April 24, 2020
All robust tool that meets all your DM requirements
- User-friendly dashboard.
- Better support for troubleshooting.
- Can scale up to thousands of appliances.
- Toolbox are the key component.
- No customized monitoring dashboard.
- No Timezone setting preference by default it's in GMT.
- For memory-related events, SL1 takes cache memory as actual memory which leads to a false positive.
April 23, 2020
ScienceLogic SL1 - THE monitoring tool going forwards!
- There is no other platform on the market that offers the flexibility as ScienceLogic.
- If you have a clear vision of where your organization wants to go, ScienceLogic gives you the platform and tools to make that happen.
- The rich feature set out of the box is excellent, and the customizations available through powerpacks and snippet data collection is extremely powerful.
- The lack of clear communication on upcoming features and additions to the product can be a little confusing at times, but they are working to improve this.
- The UI is a bit rough, however this is being addressed in an upcoming release.
April 22, 2020
SL1 review
- Infra monitoring.
- Integration with other ITSM tools.
- Easy setup.
- Not a multi thread process, trouble when there are multiple incidents.
- Difficult to understand script used.
- Need to install agents.
April 22, 2020
My Review of SL1
- Wide range of PowerPacks/Dynamic Apps for supporting many technologies
- Modular deployment
- Highly customizable
- More compatibility with third party software/integration with other monitoring tools.
- Creating custom content is not always intuitive/easy.
- Upgrading/backups can be difficult, but we are getting better with each new version.
April 22, 2020
SCILO is the COOLLIE O
- Eventing
- Reporting
- Dashboards
- Need more PowerPacks for large vendors.
- Can take some time to get PowerPacks updated.
- Better application monitoring.
- Robust platform able to be easily upgraded
- Great support
- Not locked into vendor monitoring solutions - you can create your own
- Able to scale up to many thousands of devices
- The remote monitoring of devices using distributed collectors
- Better guides are needed on how to implement various features, particularly writing code snippets
- It takes a lot of work to bring a new system up to speed and better out of box functionality is needed.
- Release notes can be limited and often do not describe new features
April 21, 2020
ScienceLogic SL1: the good & the bad
- Collects data from anything
- Maps relationships across technology stacks
- Runbook automation
- One place for all the information we need
- User experience. The new UI, although it may look prettier, is painful to do simple tasks. Not fully baked.
- The new UI is lacking in mapping functionality that was native in the Flash experience.
- Self Monitoring of SL1 itself. No one can tell you what is a healthy or unhealthy system or when you need more resources or less. What is the system running behind or having problems?
- Making power packs and developer best practices doesn't exist. The platform can do it but there isn't any direction or documentation on how to do it successfully without risk of breaking the system.
- As a service provider, the new UI doesn't support theming and whitelabel like the classic UI, which makes it very challenging for us to sell and transition our customers to.
- Reduce the hardware footprint and cost to run the software. Very resource heavy when you use all the features.
- Make the agent easy and turnkey to collect basic Microsoft and other basic OS-level metrics just work when agent-less isn't an option.
April 21, 2020
Great Extensible Monitoring (GEM) framework
- Provides real-time device availability alerting
- Provides dynamic topology views of devices
- Provides the parent-child relationships with those topology views
- Can be noisy because of the large number of simultaneous alerts.
- The UI (classical) is not always intuitive.
April 21, 2020
A decade with ScienceLogic
- Easy dashboards
- Highly flexible monitoring
- Extensible architecture
- Documentation completeness and accuracy
- QA of new features
- Pricing
April 21, 2020
ScienceLogic SL1 Review from a Solution Architect
- Flexibility in how you can code your specific monitoring needs
- Graphql
- AIOPs
- Patching and support
- Fixing built-in power packs
- Making the system more efficient--collectors can't handle 1000 devices without issues
April 21, 2020
ScienceLogic SL1 Review
- Dynamic Applications are a huge plus. This allows for flexibility to track custom items.
- Reporting is somewhat lacking on some data rollup functions.
April 21, 2020
10 Years through thick and thin.
- ScienceLogic is generally quick to respond to issues we find.
- ScienceLogic provides very detailed monitoring solutions for the major product vendors.
- QA does not test the product to the scale that some customers may use it leading to potentially revenue impacting outages.
- Documentation around some of the power-packs released for public consumption.
- Certain things have been broken in the existing UI and have gone overlooked while developing the "new" UI.
April 21, 2020
SL1 for the world
- Short time to market, quick intuitive deployment and standard based on standard powerpacks and consolidation of monitoring parameters.
- Ease of use and comprehensive presentation of monitoring data in standard or customized dashboards.
- Integration with ServiceNow (this architecture and features could well be enhanced).
- Integration with ITSM, ServiceNow in particular, reference architecture, best practice, user group.
- Interoperability with Azure - how to apply SL1 monitoring on Azure.
- Interoperability with Cisco UC - how to apply SL1 monitoring on Cisco UC.
April 21, 2020
Feedback from SL migration over ITM
- Helpful dashboards.
- Agent-less - easy to implement.
- Easy to add collectors or increase the number of device monitored.
- Good support.
- Customization on monitoring needs.
- Facilitate the credentials process.
- Scalable.
- Customizable.
- Many ways to monitor different things.
- Quite "heavy" monitoring system.
- If something special must be achieved, it can be quite complex to set up.
April 20, 2020
From a non-technical view
- Event detection
- Reports have intermittent bugs. Not all options are available for all reports, such as device categories are not available in many reports.
- More modern looking dashboards
April 20, 2020
If you want to be alerted...
- Alerts can be really granular, allowing a small subset or large group to be notified of a particular event.
- Alerts can be suppressed or put into a monitoring mode to allow teams to focus on urgent matters.
- I'd like to see critical ping options have customizable time periods.
- The system could be improved by allowing for less clicks and tab surfing.