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Founder and CEO at @fiberplane - Collaborative notebooks for SRE's.

Investor in teams solving hard problems at NP-Hard Ventures.

Fiberplanehttps://fiberplane.com
nphardvchttps://nphard.vc
We're big fans of #gitops @fiberplane but it's not just about infrastructure as code; templatized post-mortems enhance resilience and can serve as a blueprint for teams to bounce back after (un)foreseen events. Thats why we created this @github action: https://t.co/azxErNfC6o The action seamlessly syncs
templates for post-mortems (alongside other vital SRE documents). #observability #gitops #devops
GitHub - fiberplane/sync-templates: GitHub Action for sync'ing Fiberplane templates

GitHub Action for sync'ing Fiberplane templates. Contribute to fiberplane/sync-templates development by creating an account on GitHub.

GitHub
Super proud of the team for this release. Autometrics Explorer a developer friendly and opinionated UI to visualize Prometheus metrics. https://autometrics.dev Explorer brings together function-level metrics, service level objectives and alerts making for a fast debugging workflow. Read more about the features on the blog: https://autometrics.dev/blog/announcing-the-autometrics-explorer-a-clear-and-contextual-ui-for-prometheus-metrics
One of the coolest things with
https://github.com/autometrics-dev is the ability to add the build_info metrics which captures version information of your releases, enabling you to instantly spot faulty commits across metrics.
Autometrics

Easily add metrics to your code that actually help you spot and debug issues in production. Built on Prometheus and OpenTelemetry. - Autometrics

GitHub
We open sourced the Autometrics CLI and Explorer for a local observability workflow. It's written in #rust and spins up a local #prometheus instance for you alongside a UI where you can explore your metrics. #Autometrics standardizes metric names and generates PromQL queries for request rate, error rate and latency so you don't have to. Function-level metrics enable you to shorten the feedback loop without the need to commit & deploy. You can find the code on GitHub: https://github.com/autometrics-dev/am
GitHub - autometrics-dev/am: Companion CLI app

Companion CLI app. Contribute to autometrics-dev/am development by creating an account on GitHub.

GitHub
We’re releasing a GitHub action for https://github.com/autometrics-dev that will enable developers to see the changeset for instrumented functions. Think of it as a form of code coverage but in this case metric coverage.
Autometrics

Easily add metrics to your code that actually help you spot and debug issues in production. Built on Prometheus and OpenTelemetry. - Autometrics

GitHub

How do you define "availability" of your service? Service Level Objectives describe the thresholds your service should adhere to. Latency and success rate as SLO's are a great start.

With Autometrics it is trivial to add these to your functions and start tracking these (especially with Python!).

Check out the #python repo for Autometrics on GitHub: https://github.com/autometrics-dev/autometrics-py

We've been making some great progress on Autometrics, our open source framework for observability. Autometrics makes it trivial to add instrumentation and metrics to your code and meets developers where they are; at the function-level (and inside the IDE). We recently launched a VSCode extension enabling you to view metrics from within the IDE: https://fiberplane.com/blog/announcing-autometrics-for-vscode-preview
Announcing Autometrics for VSCode preview - Blog

A New VSCode Extension for Seamless Observability Metrics from within your IDE.

It’s hackweek @fiberplane and we're working on a bunch of autometrics features, implementations and tutorials. As a refresher autometrics is a let of open source libraries that make it easier to understand error rates and response times, amongst others. Here's a quick video of autometrics in action! #rustlang
We had demos yesterday @fiberplane and one feature I’m very excited about, which we’re launching soon, is “Views”, that enable you to organize notebooks into smart collections based on labels.