Towards approachable observability with wide events
The article discusses the author's journey towards creating a comprehensive observability system for their services. Initially using Prometheus for metrics, the author transitioned to a more flexible system that could handle various data types. The exploration included building custom tools for data visualization and integrating tracing for better service monitoring.
- ▪The author started with Prometheus and Grafana for time series data but sought a more unified observability solution.
- ▪They shifted to using DuckDB for handling arbitrary JSON payloads and built a custom frontend for data visualization.
- ▪The introduction of tracing allowed for better data correlation and monitoring within the observability system.
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Record
| Original publisher | Marending |
| Canonical URL | https://marending.dev/notes/wide-events/ |
| Publication time | Sun, 17 May 2026 18:43:06 +0000 |
| Retrieval time | 2026-05-17T19:03:20.885Z |
| Last seen | 2026-05-17T19:03:20.885Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Uigs18WAn4uZ |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
← back 17 May 2026Towards approachable observability with wide eventsA tragedy in four acts I like to think about how to get operational insights into the services I host. It’s become kind of a hobby, to be honest. Maybe this whole thing is just bike shedding. What better way to avoid the crushing reality that an actual project you had in mind doesn’t live up to your expectations than by not even attempting it, and instead building infrastructure around your existing applications? Maybe that’s a topic for therapy. Anyhow, I realized during my latest manic observability episode that I barely even remember how I got here. So for posterity, I’m outlining the history and motivations for all the different phases in this note.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Marending.
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