LotteON leveraged AI and Amazon Connect to automate incident response during nights and holidays.
Lotte On introduced SentryOn, an RCA agent that automates root cause analysis for its AWS EKS-based MSA environment.
AskON uses RAG and graphs to let developers search code's business context in natural language.
They used CloudWatch and Redis Stream to detect DynamoDB load and pause/resume Kafka consumption.
We internalized an external Batch Scheduler using Quartz and a common library, calling it OnQuartz.
AWS Bedrock was used to automatically analyze login anomalies, speeding up response times.
A single Slack Command automated Jira and GitLab deployment and merge tasks.
Lotte ON internalized a real-time image processing service using S3 Object Lambda and CloudFront.
Tracks interface history and call stacks using AOP, MDC, and Kafka Interceptor.
A 5-minute batch notification system was replaced with real-time exception notifications based on AOP and Redis.
Lotte ON integrated more than 50 in-house systems using Okta and its own account management system.
Aurora MySQL's load balancing issues and cost problems were resolved using Maxscale.
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