Sangfor is proud to be listed as a Representative Vendor in the recently published Gartner Market Guide for AIOps, China¹. This Market Guide provides a detailed analysis of the AIOps market in China.
AIOps, short for Artificial Intelligence for IT Operations, is defined in the Market Guide as follows:
AIOps platforms enhance IT operations management by integrating AI into the event management process to augment, accelerate and automate responses to signals from monitoring and observability tools. This covers areas such as anomaly detection, event correlation and reduction, root-cause analysis and accelerated or automated remediation.
In terms of market direction, Gartner stated that "China’s interest in AIOps is growing. According to Gartner’s Forecast: IT Operations Management Software, Worldwide, 2021-2027 research, the AIOps market in China is estimated to grow by 46.9% annually between 2023 and 2025, from $30.2 million to $64.9 million."
The large number of internet users worldwide is generating significant amounts of data and transactions. This increases the complexity of IT infrastructure management and cybersecurity risks. We believe that the use of AI technology can accelerate digital transformation across various industries. Specifically, the emergence of AIOps helps organizations process data more quickly and accurately, as well as carry out complex operations more efficiently.
In recent years, Sangfor has invested heavily in AI and big data technologies, including AIOps. It is recognized as a Representative Vendor in AIOps by the Gartner Market Guide for its SkyOps engine.
Sangfor SkyOps uses over 50 AI algorithms and correlates vast amounts of data to offer granular operation and maintenance for IT infrastructure and cloud platforms. It addresses over 150 typical failure scenarios, predicts issues 7-30 days in advance, detects problems within a minute, and pinpoints them in three minutes, significantly improving operational efficiency.
Key Capabilities of Sangfor SkyOps
Full-Stack Resource Monitoring
SkyOps provides extensive monitoring capabilities across software and hardware layers, including virtual machines (VMs), desktop applications, databases, business health status, resource status, cloud platforms, servers, storage, CPUs, memory, and RAID. It creates a unified data collection system that covers over 500 monitoring metrics, enabling rapid detection and remediation of issues.
Hardware Failure Prediction and Detection
SkyOps predicts disk issues in advance and provides an overview of potential risks. It alerts operations staff to inspect hard drives and suggests migrating business operations to prevent downtime and data loss. The system also forecasts memory failures and recommends immediate replacement of faulty memory sticks. Additionally, it predicts hardware failures 7-30 days in advance with over 90% accuracy using log and metric data.
SkyOps accurately forecasts the resource demands of hosts and VMs with a 96.8% accuracy rate. It provides early warnings for resource overloads, preventing risks caused by emergency capacity expansion and guiding rational scaling based on historical trends.
Alert Correlation and Root Cause Analysis
SkyOps combines AI algorithms and domain expertise for slow service detection and root cause analysis. It automatically diagnoses faults and provides remediation suggestions. Alert correlation reduces over 90% of repetitive alerts, improving operational efficiency by 30% and cutting the Mean Time to Identify (MTTI) by 50%.
Network Quality of Service (QoS) Analysis
SkyOps’ network QoS analysis technology analyzes and predicts network performance, correlating different network layers for a unified operational view. It identifies over 50 common failure scenarios within minutes, reducing the risk of faults by 70%.
AIOps in Sangfor Products
SkyOps is integrated into Sangfor Hyperconverged Infrastructure (HCI) and uses technologies like operational knowledge graphs, deep learning, transfer learning, and small sample learning. SkyOps uses extensive data and computational power for deep learning algorithms, covering 150+ typical fault scenarios. It predicts hardware failures 7-30 days in advance and identifies root causes in one second with over 90% accuracy. SkyOps in Sangfor HCI is scheduled for international release in October 2023.
Sangfor Virtual Desktop Infrastructure (VDI) integrates the IOM platform, which is equipped with a full-stack intelligent operations and maintenance engine. IOM automatically detects and resolves over 70% of virtual desktop resource bottlenecks, cutting the time needed to identify and repair 50% of faults to within one minute. IOM in Sangfor VDI is scheduled for international release in Q4 2023.
In the face of emerging technologies and complex challenges, Sangfor continues to innovate to Make Digital Transformation Simpler and Secure for every organization. Our ongoing exploration and application of AIOps aim to help our customers improve operational efficiency and advance toward a brighter digital future.
1. Gartner, Inc., Market Guide for AIOps, China, By Leo Li, Matt Crossley, Padraig Byrne, Published August 31, 2023
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