Skylar AI - The Future of AIOps and Observability
Part 2- Skylar AI lets you get more out of SL1
As continued from Part1 of this blog
ScienceLogic’s flagship AIOps product, has arguably the industry’s most complete set of integrations for telemetry collection, enabling insights and rapid automation, and supports almost any kind of device and environment - from legacy through to containers and cloud platforms.
Skylar AI is designed to work alongside SL1 to deliver a new class of insights, recommendations, visualizations and user experience.
At a high-level, the engine behind Skylar AI receives telemetry from SL1 and sends insights back to SL1 that can drive automations, third-party integrations and leverage all other capabilities of SL1. It also has future support to ingest third-party streaming telemetry and customer documents (such as KB articles and support tickets). The data lake within Skylar AI can also be accessed via third-party tools that support ODBC.
Skylar AI is Being Released as a Suite of Services
Skylar AI will initially comprise three primary services which are briefly described below.
1. Skylar Automated RCA - AI-based Root Cause Analysis for Logs
Solves the pain point of identifying and troubleshooting problems found in application and infrastructure logs. Streaming logs are analyzed in real-time to quickly identify details of problems and summarize their root cause showing key log lines and using GenAI to create plain language summaries.
Skylar Automated RCA is available now.
2. Skylar Analytics – A set of AI/ML and advanced analytic and data exploration capabilities
Skylar Analytics is designed to derive new value from data collected by SL1 by offering:
- Predictive Alerting – Accurately models and predicts impending issues with key resources such as disks, memory and CPU. Predictive alerting is designed to let you know about potential future issues with enough time to act and prevent them from happening in the first place.
- Always on Anomaly Detection – When troubleshooting a problem, allows you to see any associated metrics that appear to be abnormal. There is also a capability to set up alerting when a particular metric is anomalous.
- Data Visualization – A modern and highly flexible dashboarding environment and no-code visualization builder with over 40 visualization types.
- Data Exploration – The ability to use third-party reporting and data exploration tools that support the industry standard ODBC interface.
Skylar Analytics is planned for release in the fall.
3. Skylar Advisor – Automated guidance to optimize IT operations and proactively avoid issues
Skylar Advisor introduces a fundamentally new user experience for the IT Operator. It will automatically provide the user with important insights, predictions and actionable recommendations to keep everything running optimally.
Details on availability of Skylar Advisor are coming soon.
The latest information about Skylar AI can be found by visiting: https://sciencelogic.com/platform/skylar-aihttps://sciencelogic.com/platform/skylar-ai.