Skylar One

Skylar One (formerly SL1) is the flagship unified observability, AIOps, and automation platform within the ScienceLogic AI Platform.

Reviewed by 7wData

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Publisher review

Skylar One (formerly SL1) is the flagship unified observability, AIOps, and automation platform within the ScienceLogic AI Platform. Founded in 2003 and headquartered in Reston, United States, the platform is designed for mid-to-large enterprises with revenues between $1B and $30B. It targets IT operations teams seeking to consolidate fragmented monitoring tools into a single pane of glass across on-premises, cloud, and hybrid environments. The product is marketed as a tool to modernize legacy platforms and reduce tool sprawl, with a particular focus on service-aware visibility rather than just infrastructure metrics. Skylar One is deployable in any environment and is used by global system integrators, service providers, and government agencies including those requiring FedRAMP compliance.

The platform operates by ingesting telemetry from any source—logs, metrics, traces, events—and applying unsupervised learning and reasoning to detect anomalies and root causes without pre-defined thresholds. It turns repeatable remediation steps into low-code workflows via Skylar Automation, and ensures network configurations and policies stay aligned as the environment evolves through Skylar Compliance. A key differentiator is its 'PowerPack' architecture: pre-built integrations and dynamic apps that map dependencies and business services. However, users report that customizations tied to these PowerPacks are removed during updates, making upgrades difficult. The platform also includes Skylar AI for predictive insights and Skylar Advisor for prescriptive recommendations, all accessible through a single interface that consolidates data from over 200 integrations.

Skylar One competes directly with Dynatrace, New Relic, AppDynamics, and Datadog. According to Gartner Peer Insights, Dynatrace holds a 4.6 rating from 1,700 reviews, while ScienceLogic's AI Platform generally rates lower in user satisfaction on review aggregators. The platform is often evaluated as a replacement for multiple legacy tools rather than a point solution, which can be both a strength (reducing vendor count) and a weakness (increasing initial complexity). Its pricing is subscription-based, typically per device or node, but exact tier figures are not publicly disclosed. The platform is owned and operated by ScienceLogic, Inc., which has not been acquired or spun off.

The honest trade-offs are significant. While Skylar One offers comprehensive monitoring and AI-driven automation, users on Reddit and G2 report that getting basic functionality is 'complex and long-winded,' and that the product is not easy to onboard for teams wanting a simpler out-of-box experience. Support is described as 'lacklustre' by some, with broken scripts in Dynamic Apps during updates cited as a recurring pain point. On the positive side, once configured, it provides precise insights to predict and solve issues efficiently, and it is very easy to set up for basic monitoring. The platform's ability to rationalize legacy tools is a concrete benefit for large enterprises, but the upgrade process remains a friction point that potential buyers should budget for in terms of staff time and testing.

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How it works

  1. Unified observability

    Ingests logs, metrics, traces, and events from any source into a single pane of glass across hybrid environments.

  2. AI-driven intelligence

    Applies unsupervised learning and reasoning to detect anomalies and root causes without pre-defined thresholds.

  3. Low-code automation

    Turns repeatable remediation steps into low-code workflows via Skylar Automation for faster incident response.

  4. Service-aware visibility

    Maps dependencies and business services using PowerPacks to show impact of infrastructure issues on applications.

  5. Configuration compliance

    Ensures network configurations and policies stay aligned as the environment evolves through Skylar Compliance.

  6. Tool consolidation

    Consolidates fragmented monitoring tools into one platform, reducing vendor count and operational overhead.

  7. Predictive insights

    Uses Skylar AI and Skylar Advisor to predict issues and provide prescriptive recommendations before outages occur.

Strengths and trade-offs

Strengths

  • Helps modernise and rationalise a number of legacy platforms, reducing tool sprawl for enterprises with revenues between $1B and $30B.
  • Provides precise insights to predict and efficiently solve issues using unsupervised learning and reasoning without pre-defined thresholds.
  • Offers comprehensive monitoring capabilities across on-premises, cloud, and hybrid environments with over 200 integrations.
  • Very easy to set up for basic monitoring, with pre-built PowerPacks that map dependencies and business services quickly.

Trade-offs

  • Complex and long-winded to get basic functionality beyond initial setup, requiring significant configuration effort.
  • Difficult to keep upgraded as customizations linked to PowerPacks are removed during updates, breaking workflows.
  • Not easy to onboard and use for teams wanting a simpler product, with a steep learning curve for new users.
  • Lacklustre support according to some users, with reports of broken scripts in Dynamic Apps during updates not being promptly fixed.

Pricing context

Subscription-based pricing model, typically structured according to the number of devices or nodes; exact tier figures are not publicly disclosed.

Getting started with Skylar One

  1. Sign up for Skylar One

    Visit the ScienceLogic website and request a demo or trial account. Provide your enterprise details and IT environment scope. A sales representative will provision your tenant and send login credentials for the unified observability platform.

  2. Connect your data sources

    Log into the Skylar One interface and navigate to the integrations section. Use the PowerPack library to select and install pre-built integrations for your existing monitoring tools, cloud providers, and on-premises systems. Configure each source to stream telemetry into the platform.

  3. Configure service-aware visibility

    Define your business services and their dependencies by mapping infrastructure components using PowerPacks. Set up service-level views that correlate metrics, logs, and events to application health. Adjust the dependency maps to reflect your actual topology.

  4. Set up anomaly detection rules

    Enable Skylar AI to apply unsupervised learning on incoming telemetry. Allow the platform to establish baseline behavior without manual thresholds. Review detected anomalies and fine-tune sensitivity per service to reduce false positives while capturing critical issues.

  5. Deploy low-code automation workflows

    Use Skylar Automation to create remediation workflows for common incidents. Drag and drop actions like restarting services or triggering alerts. Test each workflow in a staging environment, then schedule it to run automatically when specific anomalies are detected.

Frequently Asked Questions

What is Skylar One and what does it do?

Skylar One is a unified observability, AIOps, and automation platform from ScienceLogic. It ingests logs, metrics, traces, and events from any source into a single interface, using unsupervised learning to detect anomalies and root causes without pre-defined thresholds.

How does Skylar One pricing work?

Skylar One uses a subscription-based pricing model, typically structured according to the number of devices or nodes monitored. Exact tier figures are not publicly disclosed, so interested buyers should contact ScienceLogic directly for a customized quote based on their environment.

What are the main features of Skylar One?

Key features include unified observability across hybrid environments, AI-driven anomaly detection, low-code automation via Skylar Automation, service-aware visibility using PowerPacks, configuration compliance checks, tool consolidation, and predictive insights from Skylar AI and Skylar Advisor.

How does Skylar One compare to Dynatrace?

Skylar One competes directly with Dynatrace, New Relic, AppDynamics, and Datadog. According to Gartner Peer Insights, Dynatrace holds a 4.6 rating from 1,700 reviews, while ScienceLogic's AI Platform generally rates lower in user satisfaction on review aggregators.

What are the common complaints about Skylar One?

Users report that getting basic functionality is complex and long-winded, with a steep learning curve. Upgrades are difficult because customizations linked to PowerPacks are removed during updates. Support is described as lacklustre, with broken scripts in Dynamic Apps not promptly fixed.

Is Skylar One good for consolidating legacy monitoring tools?

Yes, Skylar One is designed to help mid-to-large enterprises consolidate fragmented monitoring tools into a single pane of glass. It reduces vendor count and operational overhead, but the initial setup and configuration require significant effort, making it a trade-off for teams seeking simplicity.

Alternatives

How Skylar One compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This tool

Skylar One

Pricing
Subscription-based pricing model, typically structured according to the number of devices or nodes; exact tier figures are not publicly disclosed.
Target
Skylar One (formerly SL1) is the flagship unified observability, AIOps, and automation platform within the ScienceLogic AI Platform.
Strength
Helps modernise and rationalise a number of legacy platforms, reducing tool sprawl for enterprises with revenues between $1B and $30B.
Watch for
Complex and long-winded to get basic functionality beyond initial setup, requiring significant configuration effort.

Dynatrace

Pricing
Custom/Contact sales, premium enterprise pricing
Target
Enterprise IT, hybrid cloud monitoring
Deployment
SaaS, on-prem, hybrid
Strength
Full-stack observability with AI root cause analysis
Watch for
Complex pricing tiers for advanced features

New Relic

Pricing
$0.30/GB ingest, $0.50/GB retention
Target
DevOps, cloud-native apps
Deployment
Cloud-native SaaS
Strength
Developer-friendly APM with open telemetry
Watch for
Costs escalate with high-volume data

SolarWinds Observability

Pricing
Starts at $1,995/node/year
Target
Mid-market IT operations
Deployment
On-prem, cloud
Strength
Network performance monitoring focus
Watch for
Legacy perception post-2020 security incident

User reviews

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.linkedin.com
  2. www.reddit.com
  3. sciencelogic.com
  4. www.gartner.com
  5. www.g2.com
  6. www.g2.com