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Nick Travaglini

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  • Sep 18, 2024 | honeycomb.io | Nick Travaglini |Brian Chang |Lex Neva

    Building a center of production excellence (CoPE) starts with indexing on production. Here’s why. Odds are that a software engineer today is really focused on one place: pre-prod. Short for “pre-production,” this is slang for an environment where software code operates in a prototype phase of its development lifecycle. Common sense would have one believe that this is a safe space, a workbench of sorts, where problems can be found and remediated.

  • Sep 17, 2024 | honeycomb.io | Nick Travaglini |Brian Chang |Rox Williams

    At this point, it’s almost passé to write a blog post comparing events to the three pillars. Nobody really wants to give up their position. Regardless, I’m going to talk about how great events are and use some analogies to try to get that across. Maybe these will help folks learn to really appreciate them and to depreciate a certain understanding of the three pillars. Or maybe not.

  • Sep 9, 2024 | honeycomb.io | Nick Travaglini |Brian Chang |Rox Williams

    In 2016, we at Honeycomb first borrowed the term “observability” from the wikipedia entry for control systems observability, where it is a measure of your ability to understand internal system states just by observing its outputs. We then spent a couple of years trying to work out how that definition might apply to software systems. Many twitter threads, podcasts, blog posts, and lengthy laundry lists of technical criteria emerged from that work, including a whole ass book.

  • Aug 15, 2024 | honeycomb.io | Nick Travaglini

    Alerts are a perennial topic, and a CoPE will need to engage with them. The bounds of this problem space are formed by two types of alerts: Reactive alerts (in Honeycomb, we call these Triggers): They are alerts that fire after some event, like crossing a pre-determined boundary. Proactive alerts (Burn Alerts based on Honeycomb’s SLO feature): These give notice before crossing a threshold; in the case of SLOs, that means before failing to meet the stated objective.

  • Aug 8, 2024 | honeycomb.io | Nick Travaglini

    The previous post laid out the basic idea of instrumentation and how OpenTelemetry’s auto-instrumentation can get teams started. However, you can’t rely only on auto-instrumentation. This post will discuss the limitations in more detail and how a CoPE can help teams overcome them. Once your teams begin working with telemetry from auto-instrumentation, they’ll soon realize something: it’s reeeeally barebones.

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