Customer background

KONE, founded in 1910 and headquartered in Finland, is one of the world's leading manufacturers of elevators and escalators, dedicated to providing high-quality, reliable, and safe elevator products and services to users worldwide. In addition to equipment production, we also offer maintenance and upgrade services for elevators and escalators, aiming to improve operational efficiency and safety.

KONE Elevator deploys its business on the AWS platform, providing digital solutions including crowd monitoring, equipment status monitoring, and maintenance services. With AWS's cloud computing, big data, and artificial intelligence technologies, KONE Elevator has significantly improved equipment reliability and maintenance efficiency, while also enhancing the customer experience.

As the business expanded, KONE Elevator faced new challenges:

In terms of monitoring and operation and maintenance management, the original monitoring system struggled to handle large volumes of equipment data and frequent fault troubleshooting. When equipment issues arise, debugging and fault localization are inefficient, making real-time monitoring of system performance impossible, resulting in prolonged resolution cycles and affecting overall service quality and user experience.

Solutions

Unified data collection and correlation analysis

Using observable RUM+APM+logs, rapid debugging and troubleshooting are achieved. Through Guance, developers and operations staff can focus on tracking issues through a single platform and monitor the performance metrics of all components in the application in real time, improving the efficiency of debugging and troubleshooting.

Guance Func standalone programmable module

Customized data collection and alert modules for multiple business scenarios allow users to write custom scripts and integrate them into monitoring systems to achieve business-based automated monitoring and scalability. Business teams can capture richer data and use it for deeper analysis and decision-making.

Collection and analysis of logs

By enabling custom log formats, it can flexibly record and display different types of business data according to different business needs, better understand business operations and internal structure, and thus optimize business operations.

Customer outcomes

Enhancing AWS monitoring granularity:

Guance enables KONE Elevator to monitor products on the AWS cloud (such as EC2, EKS, RDS) in greater detail, enabling comprehensive collection and display of various product metrics. By establishing real-time monitoring and quickly locating fault causes, KONE Elevator significantly reduces the failure rate and enhances the user experience of its applications.

Custom monitoring and data analysis:

Through custom scripts, KONE Elevator can flexibly collect and analyze business data from different dimensions, supporting deeper decision-making and business analysis. This highly customized monitoring method enables KONE Elevator to better optimize its operational management and resource allocation.

Unified log collection and analysis:

Guance log collection and parsing functions help KONE Elevator uniformly manage scattered log data across different systems. By centrally displaying and integrating with the alarm system, KONE Elevator can achieve deeper fault analysis and business trend warnings, further enhancing business reliability and efficiency.

KONE Elevator Guance