A precursor of AI and big data-based intelligent cloud
SYMPHONY A.I.
Symphony A.I. is an artificial intelligence for IT operations.
AIOps aims to optimize IT operations by introducing A.I.
into ICT cloud operations, breaking away from traditional
IT environments and introducing data-based decision-making.
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Data Collection and Analysis
- Comprehensive collection of metric and log data of system infrastructure (both physical and virtual)
- Optimized data preprocessing and variable selection
- Operational pattern-based clustering to create custom data
AI/ML Deep Learning and prediction
- Provides Low-Cost BUT High-Efficiency adoptive model learning
through data process to fit the characteristics of the workload - Creates an artificial intelligence-based model that
comprehensively considers short-term, medium-term,
and long-term prediction models - Provides unique, high-performance predictive models
through ensemble techniques
Cloud Optimization
- Optimal allocation based on resource prediction data
- Increase operational efficiency and cost reduction by providing optimal deployment plan per cluster
- Customized management capabilities for individual resources by recommending appropriate capacity and optimization measures after diagnosing the status of virtual resources.
Anomaly Detection
- Preceding post-failure response, Anomaly Detection provides capabilities to preemptively respond to system failure
- Detects anomalies of each category comprehensively utilizing data related to overall infrastructure, such as metric data, log data, and failure history
- Allows efficient operation in the managing-level by proving anomaly prioritization forecast and suggesting customized countermeasures to corresponding anomalies
- OKESTRO Co., Ltd.
-
CEO. Min-jun Kim, Young-gwang Kim
Business Reg No. 674-88-01017
Tel. +82-2-6080-0029
Email. info@okestro.com
- Head office.
43rd floor, 108, Yeoui-daero, Yeongdeungpo-gu, Seoul (Yeouido-dong, Park One Tower 2)