AI BriefingLotte ON news
The latest AI and developer news from Lotte ON, with short summaries.
Visit website →Building a 24×7 Instant Response System for AI-Based Online Services
LotteON leveraged AI and Amazon Connect to automate incident response during nights and holidays.
Agentic AI — Introducing the RCA Agent 'SentryOn' (Built with Strands SDK)
Lotte On introduced SentryOn, an RCA agent that automates root cause analysis for its AWS EKS-based MSA environment.
AskON: Turning Code into a Searchable Knowledge Asset
AskON uses RAG and graphs to let developers search code's business context in natural language.
Calming DynamoDB! Building a Real-Time Backpressure Architecture with Kafka and Redis
They used CloudWatch and Redis Stream to detect DynamoDB load and pause/resume Kafka consumption.
Internalizing the Batch Scheduler: The OnQuartz Development Journey
We internalized an external Batch Scheduler using Quartz and a common library, calling it OnQuartz.
AI-Powered Security Monitoring Automation for Detecting Login Anomalies with AWS Bedrock
AWS Bedrock was used to automatically analyze login anomalies, speeding up response times.
Building a Jira-GitLab Integration with Slack Commands
A single Slack Command automated Jira and GitLab deployment and merge tasks.
Lotte ON's Journey Building Its Own Real-Time Image Processing Service, LLIS
Lotte ON internalized a real-time image processing service using S3 Object Lambda and CloudFront.
Building a Budget-Friendly APM with AOP and MDC: From Interface History Management to Call Tracing
Tracks interface history and call stacks using AOP, MDC, and Kafka Interceptor.
Real-time Exception Notification System Built with AOP and Redis
A 5-minute batch notification system was replaced with real-time exception notifications based on AOP and Redis.
Lotte ON's Journey to Adopting Integrated Authentication (Okta)
Lotte ON integrated more than 50 in-house systems using Okta and its own account management system.
Switching from RDS Proxy to Open-Source Maxscale
Aurora MySQL's load balancing issues and cost problems were resolved using Maxscale.