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Pricing
View all pricingEntry-level set up fee?
- Setup fee required
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Starting price (does not include set up fee)
- $7.50 per month per node
Features Scorecard
Product Details
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 Eliminate Visibility Gaps While Driving Tool Consolidation
Watch Diagnose and Resolve Service Impacting Issues with Behavioral Correlation
Watch Automate Troubleshooting for Faster Root Cause Analysis
Watch Achieve CMDB Accuracy With Real-time Synchronization of Monitored Environment
Watch Understand Infrastructure Impact on Apps with AppDynamics
ScienceLogic SL1 Downloadables
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 Customer Size Distribution
Consumers | 0% |
---|---|
Small Businesses (1-50 employees) | 0% |
Mid-Size Companies (51-500 employees) | 0% |
Enterprises (more than 500 employees) | 100% |
ScienceLogic SL1 Technical Details
Deployment Types | On-premise, SaaS |
---|---|
Operating Systems | Windows, Linux, Mac, UNIX |
Mobile Application | No |
Supported Countries | Americas, EMEA, APAC |
Supported Languages | English |
Comparisons
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Frequently Asked Questions
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Reviews and Ratings
Reviews
(1-25 of 155)- Popular Filters
- Development of stable cloud computing infrastructure.
- Monitoring the full production ecosystem.
- Automation of business processes.
- I have not discovered new area that requires improvements.
- I have no additional feature that I can recommend.
- 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.
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.
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.
Cognizant Review
- On prem Monitoring
- Cloud monitoring
- customization option available to explore solutions that are not available out of the box
- Integration Options
- Integration Options
- License flixibility
- PS cost
- Frequency to release new cloud service support
Technical opinion
- Accurate monitoring.
- Monitoring automation.
- Alarm reporting.
- Hardware requirements too high.
- Tracing tool.
- Professional reporting tool.
I recommend to buy this platform. Also some development skills will need if some features are not comming in the standard product, this will also imply difficulties to support the product.
My ScienceLogic Review
It escalates callouts to our engineers via PagerDuty and then raises a ticket in hornbill for the incident.
- It monitors our devices and reports on the detections we have created.
- Most of the things I can think of have now been addressed in this new release.
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.
ScienceLogic SL1 Review
- Cisco device monitoring
- Ticketing integration
- Trap ticketing
- Release power packs for new products faster
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
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.
SL1 is continuously evolving and it effectively integrates with other softwares to become Manger of managers.
- Auto-Discovery feature is very good which helps us in building relationships between hyper-v and VMware host and guest devices. Also, it helps in building the relationship with MSSQL Databases.
- Ability to perform bulk discovery and update in ScienceLogic.
- Flexibility to clone the Dynamic Applications and do custom modifications.
- Flexibility to create custom RBA's and do several automations.
- OOB Reports (Availability and Capacity) are not very user-friendly and also do not fetch correct data most of the time or even show blank reports a lot of time. A very limited number of reports and that too very basic and do not comply with industry best practices (like Availability reports do not have a business and not business hour feature and even does not exclude the outages during scheduled maintenance)
- Dashboards do not have a lot of widgets and are hence are not able to create complex dashboards. There should be the flexibility of adding an additional column on dashboards through Custom attributes.
- Not possible to put only a few metrics (like DB services) in maintenance for a certain period. The entire server has to be put in maintenance mode and then even OS alerts get suppressed.
- The audit logs page does not get loaded and gives "504 Gateway Time-out" most of the time
- Every small customization is treated as PS work and PS is very costly.
- The SL1 support team does not support and even does provide suggestions on issues on customized DA even if the issue is because of the built-in ScienceLogic functions. There are a lot of internal Dynamic Apps (Like for filesystem, services, processes, availability, etc) where there is no visibility on the logic of how alerts are configured.
Scope of use cases - each PowerPack should be tested properly for alerting. With the help of the application team, the DB alerts should be tested. They should consult with the DB team and ask what alerting is required and how relevant it is with the PowerPack that ScienceLogic SL1 offers, and accordingly, this should be enhanced.
- 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.
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
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
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
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]
Just the beginning
- 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.
SciLo
- You can integrate automation.
- Monitoring devices for outages.
- Scheduling for device maintenance window.
- Modernized display or GUI.
- Additional tools for monitoring.
- Device logging.
ScienceLogic SL1's Benefits with the environment
- 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.
Good tool, not excellent
- 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.
My ScienceLogic Review
- 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.