QCon 2024: Cloud-Native Engineering Practices for AI EraChallenges and Cost Optimization
The Rise of Cloud-Native and AI: New Challenges and Opportunities
In today’s rapidly evolving landscape of cloud-native and AI-driven technologies, enterprises face unprecedented challenges and opportunities. The widespread adoption of intelligent computing services, large-scale containerized applications, and multimodal large language models presents a critical question: how can organizations maintain innovation while optimizing architecture, controlling costs, and ensuring efficient andstable system operation?
The answer lies in optimizing code and system architecture. This includes building efficient observability systems, managing disk I/O in container clusters, and leveraging serverless technologies for large language models. These advancements are shaping the future oftechnology.
QCon Shanghai: A Platform for Sharing and Learning
To address these challenges and explore the latest innovations, QCon Shanghai, scheduled for October 18-19, will host a dedicated track titled Cloud-Native Engineering Practices. Led by Cai Feng, Senior R&D Director at Ctrip, the track will feature presentations from leading technical experts from companies like Alibaba Cloud, Ant Group, Ctrip, eBay, NetEase, Weibo, and Amazon Web Services.
Key Takeaways from the Track
- BuildingEfficient Observability Systems for Intelligent Computing Services: Xu Kejia, Senior Technical Expert at Alibaba Cloud and the leader of the iLogtail open-source project, will discuss Building Next-Generation Observability Pipelines for Intelligent Computing Services. He will delve into how cloud-native technologies can drive efficient operation of intelligent computingservices. His presentation will cover:
- Managing and collecting massive data in Kubernetes container clusters.
- Implementing cost-effective and efficient observability data collection and processing pipelines using iLogtail.
- Addressing technical challenges in observability systems within large-scale multi-tenant clusters.
- Optimizingperformance and enhancing system stability for precise control of data collection.
- Real-world case studies showcasing Alibaba Cloud’s technical practices in intelligent computing service scenarios.
Beyond Cloud-Native Engineering Practices
QCon Shanghai will also feature tracks on large model infrastructure and computing power optimization, AI application development practices,and AI reshaping technology workflows.
Conclusion
QCon Shanghai 2024 presents a valuable opportunity for technical professionals to learn about the latest advancements in cloud-native engineering practices and AI technologies. By sharing their expertise and experiences, leading experts will provide insights into how organizations can navigate the challenges and opportunities ofthis rapidly evolving landscape.
References:
- QCon Shanghai 2024 Website: [Insert website link]
- iLogtail Open-Source Project: [Insert project link]
Note: This article is a sample based on the provided information. It can be further expanded with more details about thespeakers, their presentations, and the overall QCon Shanghai event.
Views: 0