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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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 205)Companies can't remove reviews or game the system. Here's why
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).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
We are using ScienceLogic SL1 in a multi-tenant environment with our central database in the AWS Gov Cloud. The benefits of the ScienceLogic SL1 platform for us and our customers is the ability to provide access to our customers and their technical staff to use beyond just a monitoring solution but as an operations management platform as well providing insights into the operating environment.
We are deploying the SL1 for our customers. This product is typically used by organizations driven by the DevOps model. IT allows them to harness the elements of AI into the infrastructure monitoring and IT Service Management. Surprsiningly, it also has a simple ticketing system built-in. However, in most cases, the customers decide to integrate with their existing ticketing systems. While I have seen IT using it, the business hardly ever gets more than a dashboard to see which services are up.