It escalates callouts to our engineers via PagerDuty and then raises a …
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Entry-level set up fee?
- Setup fee required
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Starting price (does not include set up fee)
- $7.50 per month per node
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.
- 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
- Cisco HyperFlex
- New Relic
- Cloud -AWS
- Google Cloud
- IBM Cloud
- Cloud Services – Amazon EKS
- Fargate; Azure AKS; etc.
- Containers – Docker
- Software-defined Networks/WAN – Cisco
- Network - Cisco
- Storage - Dell EMC
- Pure Storage
- Hypervisors – VMware
- Operating Systems - Unix
- Business Applications
- Databases - Microsoft
- Office 365
- MS SQL Server
- IBM DB2
- APM - AppDynamics
- Storage - Dell EMC
- Cloud -AWS
- Applications -Microsoft
- Compute -VMWare
- Microsoft Hyper-V
- Converged -Nutanix
- Unified Communications and video - Cisco
|Small Businesses (1-50 employees)||0%|
|Mid-Size Companies (51-500 employees)||0%|
|Enterprises (more than 500 employees)||100%|
|Deployment Types||On-premise, SaaS|
|Operating Systems||Windows, Linux, Mac, UNIX|
|Supported Countries||Americas, EMEA, APAC|
Previously we used ScienceLogic to be a trigger point on our automated self-healing pipeline, but we have recently started testing the out of the box features within SL1 to automate system recovery.
It plugs in well/integrates well with other tooling we use which is assisting us to remove the need for manual out of hours escalations for critical monitoring alerts.
These are the benefits we noticed for automating our monitoring through ScienceLogic:
- Improved security and compliance. Automatically record and audit all employee actions within a workflow, safeguard vital data, restrict access and roles of users and alert project owners when any problems arise.
- Centralized documents and access. With manual workflows, there’s no such thing as a centralized document database. However, with a single, unified database, documents, forms, workflow records, and other assets are readily available and never lost.
- Adoption without disruption. Adopting workflow automation allows for seamless integration with existing digital infrastructures and legacy systems. The right tool can stitch everything together and eliminate the need for multiple tracking systems.
- Improved teamwork and morale. A good workflow solution removes barriers to collaboration across teams and departments. By driving efficiencies so a team spends less time on manual tasks and more time on their actual jobs, workflow automation drives productivity, process value, and can actually inspire happier employees.