yue li's Speaker Profile @ Sessionize

Building Ultra-Large-Scale Cloud-Native Edge Systems Using Chaos Engineering

Fast growing technologies, such as 5G networks, industrial Internet, and AI, are giving edge computing an important role in driving digital transformation. As each new technology brings benefits, it brings challenges. First, there are massive heterogeneous edge devices and it encompass a broad range of device types. Second, Edge devices are often located in unstable and complex physical and network environments, such as limited bandwidth, high latency, etc. How to overcome these challenges and build a stable, large-scale edge computing platform needs to be resolved.
KubeEdge is an open source edge computing framework that extends the power of kubernetes from central cloud to edge. Now, Kubernetes clusters powered by KubeEdge, can stably support 100,000 edge nodes and manage more than one million pods.
In this session, we will share the Key challenges of manage massive heterogeneous edge nodes and tell how using ChaosMesh to makes KubeEdge more Reliable in large-scale edge nodes.

Performance Testing Benchmark Framework with Locust: Enterprise Best Practices and CI/CD Integration

we will explore how to use the open-source tool Locust to build an efficient product performance testing benchmark framework and integrate it into the enterprise's Continuous Integration/Continuous Deployment (CI/CD) processes. By sharing best practices from enterprise implementations, this topic will guide attendees on how to effectively conduct performance testing in Kubernetes environments to ensure products meet predetermined performance standards before release.

Chaos Engineering practice under ultra-large-scale cloud-native edge computing

Fast growing technologies, such as 5G networks, industrial Internet, and AI, are giving edge computing an important role in driving digital transformation. As each new technology brings benefits, it brings challenges. First, there are massive heterogeneous edge devices and it encompass a broad range of device types. Second, Edge devices are often located in unstable and complex physical and network environments, such as limited bandwidth, high latency, etc. How to overcome these challenges and build a stable, large-scale edge computing platform needs to be resolved.
KubeEdge is an open source edge computing framework that extends the power of kubernetes from central cloud to edge. Now, Kubernetes clusters powered by KubeEdge, can stably support 100,000 edge nodes and manage more than one million pods.
In this session, we will share the Key challenges of manage massive heterogeneous edge nodes and tell how using ChaosMesh to makes KubeEdge more Reliable in large-scale edge nodes.

Enhancing Product Release Quality with Chaos Engineering: Best Practices with Chaos Mesh

Enhancing Product Release Quality with Chaos Engineering: Best Practices with Chaos Mesh in Enterprise CI/CD Pipelines.
This talk will explore how enterprises can leverage Chaos Mesh, an open-source chaos engineering platform, to simulate real-world scenarios and discover hidden issues in development stages. By integrating chaos experiments into CI/CD pipelines, organizations can proactively improve product release quality, ensuring high availability and resilience.
We will dive into practical strategies, real-world examples, and best practices from leading enterprises that have successfully adopted this approach.

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yue li

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