AI BriefingMarket Kurly news
The latest AI and developer news from Market Kurly, with short summaries.
Visit website →A Whirlwind Launch Story: Kurly's Beauty Kurly App Service
Kurly introduced the 'site' concept within its app to launch the Beauty Kurly service and improved loading speed by solving the RootViewController re-creation issue.
Kurly's Journey Building a Near-Real-Time Demand Forecasting Pipeline with Dataflow
Kurly shared its experience and deployment process for building a near-real-time demand forecasting pipeline using Apache Beam and Dataflow.
Kurly Delivery Product Team Raises Practice Score from 48 to 128 Through 9 Months of Agile Coaching
Kurly's Delivery Product Team significantly boosted its team software development maturity score from 48 to 128 through nine months of agile coaching.
Watching a Global Conference Together for 6 Hours: A Group Viewing Event for ProductCon - ProductCon London 2023
Through a group viewing of ProductCon London 2023, participants shared insights on the courage required in product leadership and strategies for responding to the AI era.
Building Integration Tests Similar to User Scenarios with TestContainers
Kurly used TestContainers to automate integration tests that closely resemble real environments, improving deployment stability.
Kurly Cuts Data Pipeline Processing Time to 13 Seconds with BigQuery Adoption
Kurly reduced data loading time from 30 minutes to 13 seconds and improved cost efficiency by adopting BigQuery.
Kurly Commerce Platform Wraps Up Dev Culture FT Activities... Confirms Preference for Apple Keyboards and Terminal Git
Kurly Commerce Platform's Dev Culture FT wrapped up its 2022 activities, releasing employee survey results and future plans.
Kurly Adopts BigQuery to Resolve Data Pipeline Latency and Complexity
Kurly resolved the latency and storage issues of its existing data warehouse by adopting BigQuery.
AWS Holds MLOps Distributed Training Workshop, Sharing Large-Scale Model Training and Inference Strategies Based on SageMaker
AWS held a hands-on MLOps and large-scale distributed training workshop for domestic customers, sharing SageMaker-based data mesh construction and Trainium use cases.
Kurly Data Science Team Shares Operational Practices for Demand Forecasting Models and Leakage Prevention
Kurly's Data Science Team shared operational principles for demand forecasting models and leakage prevention techniques.
Kurly Presents Genetic Algorithm-Based Logistics Production Planning Optimization Paper at IEEM 2022
Kurly presented a paper at IEEE IEEM 2022 on production planning optimization that uses a genetic algorithm to improve batch picking efficiency at logistics centers.
Daily Scrum: Thoughts on Doing 'Daily Scrum' Better
Kurly's product organization analyzed the worst cases of daily scrums and presented effective operating principles for team autonomy and goal achievement.
Kelly Engineer Visits Datadog Dash 2022… Checks Out New Features Including Official OpenTelemetry Support
Kelly's Platform Engineering team attended Datadog Dash 2022 and experienced key new features, including official OpenTelemetry support, and the company's headquarters culture.
Kurly Overhauls UX of 7-Year-Old Review Service... Phase 1 Complete
Kurly improved the navigation UX of its review service, which had been operating for 7 years, and completed the Phase 1 project.
Kurly Maximizes Logistics Picking Efficiency with Digital Twin and Genetic Algorithm
Kurly applied a Digital Twin and a genetic algorithm to predict picking speed and reduce the number of product types, improving on-site efficiency.
Building Kurly's Own MLOps - Kubeflow Adoption Story
Considering vendor lock-in and cost issues, Kurly chose Kubeflow over AWS SageMaker and optimized its production environment by applying Elyra, SealedSecrets, and more.
Kurly Reveals Key Job-Specific Keywords Selected Directly by Current Employees
Ahead of large-scale hiring, Kurly revealed key job-specific keywords and competencies for planning, design, development, and other roles, directly selected by current employees.
Building Kurly's Own MLOps - Laying the Foundation
Kurly built its own MLOps platform using Karpenter and NVDP to implement automatic allocation and deprovisioning of GPU resources.
Kurly Optimizes Logistics QPS with Genetic Algorithm... Reduces Unique Product Count by Over 10%
Kurly applied a genetic algorithm to reduce the number of unique products per basket by more than 10%, improving logistics processing speed.
Promoting the API I Built - A Guide to Spring REST Docs
While redeveloping its gift-sending system, Kurly combined Spring REST Docs with Swagger UI to build a system for documentation automation and test-based verification.