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To identify and resolve performance bottlenecks, the key is resource monitoring and latency analysis: Resource Monitoring: By tracking CPU, memory, storage, and network usage, bottlenecks can be identified. Bonree’s real-time monitoring helps quickly pinpoint high-consumption areas. WAMR’s advantages lie in its lightweight footprint, AOT (Ahead-of-Time) compilation performance, which is ideal for resource-constrained edge computing. However, it may face performance bottlenecks under high concurrency. Bonree can monitor WAMR’s runtime resource usage, helping to assess and optimize these bottlenecks. Post-Deployment Application Management Key aspects of post-deployment management are dynamic resource allocation and elastic scaling. Bonree can monitor system load in real-time, adjusting resources automatically to ensure optimal performance under high load and resource savings during lower load. |
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Hello WAMR community,
Leveraging WAMR's small footprint, AOT mode performance and isolation model, I'm building a new Github project: FUSE Runtime, a flexible and portable framework for safety-critical edge compute use-cases.
Here is the link to GitHub Repo.
Some of the key feature additions:
I'm reaching out to the community for "gut check" on the direction of the project. I would value your take on:
FUSE is completely new, and at this stage I'm primarily focused on directional alignment. Any feedback is welcomed. Feel free to reach out if you want to discuss in detail.
Thank you in advance for your time, and all the work you do on WAMR project.
P.S. Extra Reading on motivation, background and agent swarm setup used in the project.
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