Some common themes this week around on-call, incident response, IoT sensor collection, and Java application monitoring. Buckle up! 📡🌈📈
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From The Community
Whether or not you believe the “single root cause” exists, eBay’s Groot event-graph-based approach to RCA demonstrates some extremely impressive numbers for their causality graphs. The whitepaper on Groot’s design (in partnership with University of Illinois Urbana-Champaign and Peking University) can be found here.
I have a lot of conflicting feels on this one. Yes, I agree with the author’s take, but I also recognize that not everyone has the resources or freedom to proritize High Availability for their entire architecture. Here’s a terrible thought… are you better off taking a service down for maintenance without notifying your customer?
This article reminds me of all the insecurities and chaos I felt joining an on-call rotation for the first time. Fortunately, the author provides some key take-aways and tips for preparing for your own encounter with the pager.
A handy article for developing your own custom Prometheus exporter in Go. The code examples use a commercial weather API service, but you can grok the pattern without using that resource.
Most of us have a passing understanding of SLIs, SLOs, and how they feed into SLAs. Unfortunately, many of us still struggle with the question of how to leverage them for availability numbers and error budgets. This post aims to answer these for us.
Incident responses can be a chaotic experience for everyone. This post from Datadog highlights some best practices for collecting your data in preparation for writing the postmortem.
A more hands-on (and vendor agnostic) approach to organizing your incident response information and data.
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I never get tired of seeing all of the creative ways that folks use Grafana for their personal use. I’ve never considered running my own weater station before (narrator: he might) but it’s nice to know I could self-service my IoT data collection and visualization.
Speaking of pulling external sensor data, this might be the first example I’ve seen for doing this with Zabbix.
I don’t work with Java, but I’m glad to see that their ecosystem plays nicely with tools like Prometheus and Grafana. Some good examples here for profiling your Java bits with Java Flight Recorder and JDK Mission Control.
A simple walkthrough for tracing your Spring Java application with Jaeger.
I’m not a fan of Facebook, but there’s no denying they have some brilliant engineers over there. Async stack traces seem like one of those things that are simple in concept, but highly complicated (and confusing af) in practice. Maybe it’s just me. 😆
“A WeatherFlow data collector for local-UDP, remote-socket, and remote-rest APIs. Feeds InfluxDB and Grafana Loki back-ends. Includes current conditions, forecasts, and historical details.”
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See you next week!
– Jason (@obfuscurity) Monitoring Weekly Editor