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Authors: Brendan O'Leary
2022-10-27

tldr - powered by Generative AI

The presentation discusses the challenges faced by organizations and individual contributors in contributing to open source projects and the importance of understanding the bigger picture beyond software supply chain security.
  • Open source software has become critical in the world and is eating into organizations that employ them
  • Incentivizing and understanding the contribution to revenue is a challenge for organizations
  • Maintaining sustainability of open source projects is a big question
  • Understanding the people connections and relating it to the finance side of things is critical for open source projects
  • Individual contributors face challenges in understanding collaboration, transactional vs social relationships, and software incentives
Authors: Sandor Guba
2022-05-20

One of the underestimated benefits of Kubernetes is the standardization of labels. Of course in every provision system, you have the ability to mark the assets with taints, tags, labels, or something. Prometheus raised the stakes and built a whole metric system on labels. The concept was so successful that more and more tooling tries to benefit from it. Modern logging, tracing, and metric systems have at least one common characteristic: they have labels. In this talk, Sandor will demonstrate how to fully exploit labels with tools that are available already at your hands. Correlate different inputs, transform logs to metrics, and more!Click here to view captioning/translation in the MeetingPlay platform!
Authors: Rui Zang, Cathy Zhang
2022-05-18

tldr - powered by Generative AI

The presentation discusses an enhanced snapshot-based approach to address the challenges of creating new function instances and supporting fast auto-scaling in response to burst traffic. The approach involves breaking the original function code image into essential and non-essential code blocks, regenerating a new set of unique data associated with a specific micro VM instance, and adjusting existing running micro VMs resource boundary to create more function containers.
  • The enhanced snapshot-based approach addresses the challenges of creating new function instances and supporting fast auto-scaling in response to burst traffic.
  • The approach involves breaking the original function code image into essential and non-essential code blocks.
  • A small program is developed to regenerate a new set of unique data associated with a specific micro VM instance.
  • Existing running micro VMs resource boundary is adjusted to create more function containers.
  • The approach reduces code start latency and saves time.
  • The snapshot file needs to be downloaded before starting the container.
  • The essential code blocks are smaller and only a small portion of the data are actually used during the function test run.
  • The snapshot file and essential code blocks combined are much smaller than the original image size.
  • This results in a shorter downloading time and a shorter code start time.