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ScienceLogic AI Platform

Score8.8 out of 10

434 Reviews and Ratings

What is ScienceLogic AI Platform?

ScienceLogic provides a unified IT Operations platform designed to manage operational workflows using high-fidelity Telemetry Data and explainable automation. The ScienceLogic AI Platform is deployable across On-Premises, Cloud, and Hybrid Environments. The platform consolidates monitoring tools to provide Observability and enables engineers to automate manual processes using Machine Learning capabilities. The platform utilizes automation for Closed-Loop Remediation and provides insights governed by enterprise policies. The solution is intended to reduce Mean Time to Repair (MTTR) and improve operational efficiency by ensuring automated actions are verifiable and aligned with organizational requirements. Through direct integrations and Discovery capabilities, the ScienceLogic AI Platform allows enterprises and Managed Service Providers (MSPs) to manage distributed infrastructures. The architecture is built on continuous data collection to support infrastructure management at scale. The solution is designed for use by enterprises, MSPs, and government agencies to support service scalability. It facilitates toolset consolidation through automated workflows built on environmental data. The platform is intended to facilitate service restoration and provide organizational visibility. According to the vendor, the system aims to support the transition toward autonomous IT Operations.

Media

Screenshot of Unified Observability and Contextual Intelligence
Screenshot of Relationship Mapping & Service Visibility
Screenshot of ITSM and Collaboration Integrations
Screenshot of Low-Code Workflow Builder
Screenshot of Dynamic Application Development
Screenshot of Executive Overview Dashboard
Screenshot of Business Services Dashboard
Screenshot of Relationship Mapping

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Screenshot of Unified Observability and Contextual Intelligence

Top Performing Features

  • Monitoring and Alerting

    The tool provides real-time monitoring of IT infrastructure and applications, and prioritizes alerts to users when there are anomalies or issues detected.

    Category average: 8.1

  • Collaboration and Communication

    The tool provides features for collaboration and communication among IT teams, such as chat, ticket commenting, and shared dashboards.

    Category average: 7.7

  • Performance Analytics

    The tool analyzes historical performance data to provide insights and recommendations for optimizing system performance and resource allocation.

    Category average: 7.6

Areas for Improvement

  • Threat Intelligence

    The tool can leverage external libraries of known issues, best practices, and troubleshooting guides to support IT teams in problem-solving and decision-making.

    Category average: 7.2

  • Capacity Planning Tool

    The tool predicts future resource utilization and helps IT teams plan for capacity upgrades or adjustments to avoid performance issues.

    Category average: 6.9

  • Incident Management

    The tool helps manage and track incidents by providing a centralized platform for logging, notifying, and resolving incidents.

    Category average: 7.1

SL1 A Reliable User-Friendly.

Use Cases and Deployment Scope

To monitor any type of network device, it's very user-friendly & easy to understand. We can explore much & have real-time troubleshooting. Log analysis is very efficient. Dashboard customization & report fetching based on user requirements can also be done very proficiently.

Pros

  • Monitors of any type of network nodes.
  • Delivering unified visibility across hybrid and multi-vendor environments.
  • Observability

Cons

  • Event parsing & ticket generation can be more efficient.

Return on Investment

  • Time saving.
  • Power flow.
  • Enhanced visibility.
  • Observability

Other Software Used

Splunk Enterprise Security

End user ScienceLogic SL1 experience

Use Cases and Deployment Scope

We use ScienceLogic SL1 to monitor our Windows and Unix machines. I do not have admin rights, and in case there is some need from our side to modify some system settings or events, we are creating service requests to our company's ScienceLogic SL1 team. I have in scope Windows machines, so my responsibility is to configure correctly the thresholds and monitors of services, which we want to be aware of their state. Also discovery and configuration of the servers before deployment is in my scope.

Pros

  • Good granularity in monitored metrics
  • Easy to grasp overview in Device Manager
  • Different methods how to monitor systems (SNMP / PS)

Cons

  • Copying of text (hostnames, IP addresses etc) in the properties tab not working
  • System time in preferences could not be set to match my country's DST updates

Return on Investment

  • I do not have visibility on the financial effect of ScienceLogic SL1 deployment, it is higher level of management.
  • For me, the investment is on faster way how to check issues with servers in my scope - sometimes performance analysis or check in ScienceLogic SL1 is enough and much faster than logging on a server.
  • Management of numerous servers at the same time via templates saves a lot of time compared to previous tool.
  • Agentless method, which has both pluses and minuses.

Alternatives Considered

Centreon and Tivoli Monitoring (legacy)

Other Software Used

Windows Server, Red Hat Ansible Automation Platform, VMware vCenter, Cyberark Secrets Manager

ScienceLogic is a Logical Choice

Use Cases and Deployment Scope

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.

Pros

  • Versatile
  • Integrated with our existing environment
  • Customize

Cons

  • Expensive
  • No standard template

Return on Investment

  • Being proactive
  • Allow for release management
  • Trending analytical

Alternatives Considered

Zenoss Cloud

Other Software Used

ServiceNow IT Operations Management, Calabrio Teleopti WFM

ScienceLogic SL1 - Review

Use Cases and Deployment Scope

We are using ScienceLogic SL1 as part of our offering called [...] which is an integrated platform with ScienceLogic SL1 and Servicenow. This offering caters our shared services and dedicated customer for there infra monitoring and ITSM. ScienceLogic SL1 helps us in monitoring infrastructure with real time event management for incident creation. Also, We use ScienceLogic SL1 to populate CMDB which in turn helps in change management process.

Pros

  • Asset Discovery
  • Event Management
  • Business Service Mapping

Cons

  • Asset dependency mapping discovery
  • Controlled Cloud Discovery
  • Reporting

Return on Investment

  • Better visibility
  • Customer Satisfaction
  • Less Implementation time

Alternatives Considered

SolarWinds Network Configuration Manager (NCM) and Splunk Infrastructure Monitoring

Other Software Used

ServiceNow IT Service Management, Freshservice, Delinea Secret Server

Science Logic : Journey from Better to Best

Use Cases and Deployment Scope

Science logic helps our company to provide services to the customers in more easier and relevant ways. We can easily monitor any sort of devices on it in a very unique way. The design scope of a use case can be the enterprise, a specific system or a subsystem. Use cases that are used to describe the business process are typically of scope “enterprise”.

Pros

  • It better monitors every single and smallest things for the devices like CPU utilization, Thresholds, Memories etc.
  • Auto-ticketing for the alerts is the best part of it.
  • It helps to build relationship between one parent and many child devices.

Cons

  • It should only alert for the device/server which is down, not for all the other devices attached to the same affected devices.
  • Tabs should be in more organized manner instead.
  • Nothing more.

Return on Investment

  • We integrated ScienceLogic SL1 to streamline our IT operations. We used its unified monitoring for a clear view of our hybrid IT environment, automating asset discovery which saved significant manual effort. The platform's AI-driven analytics improved our incident response, dependency mapping aided in informed decision-making during migrations, and its capacity planning tools optimized our resource utilization. Overall, SL1 transformed our IT processes, making them more proactive and efficient.
  • Grouping of Devices for central management
  • communicates with Service Now very well
  • Easily search customers or devices
  • Event Monitoring
  • Dashboards and creating custom Dashboards
  • Device Discovery

Alternatives Considered

Fortinet on IBM Cloud

Other Software Used

Fortinet on IBM Cloud

Usability