『Signal and Trace』のカバーアート

Signal and Trace

Signal and Trace

著者: Highlight.io
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Signal & Trace is your source for insights into the latest in engineering culture, dev experience, and observability. We chat with leading technical founders, CTOs, and industry execs who are shaping the future of how we monitor, shape, and build software systems. Listen and learn about the trending topics and best practices around scaling applications and improving system reliability.Highlight.io
エピソード
  • The Future of Developer Documentation - Han Wang from Mintlify
    2024/09/06

    In this episode, we sit down with Han from Mintlify (mintlify.com) to explore how they’re revolutionizing developer documentation with a focus on interactivity and accessibility. Han shares insights into the challenges of creating tools that enhance developer productivity while ensuring ease of use. We also dive into the future of documentation and how Mintlify is paving the way for more intuitive developer experiences!


    To learn more, take a look at the following!

    - https://mintlify.com

    - https://x.com/mintlify

    - https://x.com/handotdev

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    41 分
  • Turso.tech with Glauber Costa
    2024/04/18

    YouTube:

    https://youtu.be/cZJVH_jtelg


    Blog https://www.highlight.io/blog/blog/podcast-ep9-turso-glauber-costa Glauber Costa https://twitter.com/glcst https://turso.tech/ Highlight https://www.highlight.io/ https://twitter.com/thejaykhatri https://twitter.com/chrisesplin https://twitter.com/highlightio

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    55 分
  • Nimbus.dev founder Kevin Lin
    2024/04/17

    Nimbus helps companies optimize their observability costs, especially when using tools like Datadog. By identifying common log patterns and aggregating similar log entries, Nimbus can reduce the billable data volume by 80-90% without losing any of the underlying observability data. This allows companies to drastically cut their observability costs without sacrificing visibility or insights. Nimbus achieves these savings by sitting in between the customer and their observability vendor, processing and optimizing the data before sending it to the vendor.

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    31 分

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