Just discovered this very nice piece of software. Very plug and play, nice and easy to use. If you work with #OpenTelemetry, I would definitely recommend
https://github.com/mesaglio/otel-front
GitHub - mesaglio/otel-front: Lightweight OpenTelemetry viewer for local development. View traces, logs & metrics instantly.

Lightweight OpenTelemetry viewer for local development. View traces, logs & metrics instantly. - mesaglio/otel-front

GitHub
VictoriaTraces: Recording Rules, Metrics, and Alerts from Trace Spans
https://rtfm.co.ua/en/victoriatraces-recording-rules-metrics-and-alerts-from-trace-spans/
VictoriaTraces - just like Vic
#Grafana #OpenTelemetry #VictoriaMetrics
VictoriaTraces: Recording Rules, Metrics, and Alerts from Trace Spans

Example of creating Recording Rules for metrics and alerts from OpenTelemetry traces in VictoriaTraces - latency and errors in a Backend API, AWS ALB, and PostgreSQL

RTFM: Linux, DevOps, and system administration | DevOps-engineering, and system administration. Cases from practice.
You added #vLLM to your stack. Now try figuring out why inference suddenly got slow. Traditional #APM wonโ€™t show you KV cache pressure, queueing, prefill, or decode bottlenecks. New walkthrough from Julia Furst Morgado on observing vLLM with #OpenTelemetry and Dash0: eu1.hubs.ly/H0vjfj40

Observing vLLM with OpenTeleme...
Observing vLLM with OpenTelemetry and Dash0 ยท Dash0

How to observe vLLM using OpenTelemetry and Dash0. Covers the traces vLLM actually emits, which Prometheus metrics matter, OTel Collector configuration, and what you'll see once data is flowing.

Agents will make your telemetry explode. You are not ready

์—์ด์ „ํŠธ ๊ธฐ๋ฐ˜ ์ž๋™ํ™”๊ฐ€ ๊ธ‰์ฆํ•˜๋ฉด์„œ ๊ธฐ์กด์˜ ํ…”๋ ˆ๋ฉ”ํŠธ๋ฆฌ ๋ฐ ๊ด€์ธก์„ฑ ์‹œ์Šคํ…œ์ด ๊ฐ๋‹นํ•˜์ง€ ๋ชปํ•˜๋Š” ๋ฐ์ดํ„ฐ ํญ์ฆ๊ณผ ๋ณต์žกํ•œ ์ƒํƒœ ์กฐํ•ฉ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•˜๊ณ  ์žˆ๋‹ค. ๊ธฐ์กด์˜ ๋ฉ”ํŠธ๋ฆญ, ๋กœ๊ทธ, ํŠธ๋ ˆ์ด์Šค ๋ถ„๋ฆฌ ๋ฐฉ์‹์€ ์—์ด์ „ํŠธ ์†๋„์— ๋งž์ถฐ ํ™•์žฅ๋˜์ง€ ๋ชปํ•˜๋ฉฐ, ์ปจํ…์ŠคํŠธ ์†์‹ค๋กœ ์ธํ•ด ๋ฌธ์ œ ์›์ธ ์ถ”์ ์ด ์–ด๋ ค์›Œ์ง„๋‹ค. OpenTelemetry์˜ ์˜ฌ๋ฐ”๋ฅธ ํ™œ์šฉ๊ณผ W3C ํŠธ๋ ˆ์ด์Šค ์ปจํ…์ŠคํŠธ ํ‘œ์ค€์„ ํ†ตํ•œ ์‹ ํ˜ธ ์—ฐ๊ณ„๊ฐ€ ํ•„์ˆ˜์ ์ด๋ฉฐ, ์—์ด์ „ํŠธ์˜ ์˜์‚ฌ๊ฒฐ์ • ๊ฒฝ๋กœ๋ฅผ ๊ด€์ธก ๊ฐ€๋Šฅํ•˜๊ฒŒ ์„ค๊ณ„ํ•˜๋Š” ๊ฒƒ์ด ๊ด€๊ฑด์ด๋‹ค. AI ์—์ด์ „ํŠธ ์‹œ๋Œ€์— ๋งž๋Š” ๊ด€์ธก์„ฑ ์•„ํ‚คํ…์ฒ˜ ์žฌ์„ค๊ณ„๊ฐ€ ์‹œ๊ธ‰ํ•˜๋‹ค.

https://shippingbytes.com/2026/05/21/agents-will-make-your-telemetry-explod/

#observability #telemetry #aiagents #opentelemetry #monitoring

Agents will make your telemetry explode. You are not ready. โ€“ shipping bytes

I have operated systems at scale long enough to know that the scariest failures are not the ones that blow up immediately. They are the ones that accumulate quietly, in the background, until the night you realize you cannot see what is happening anymore. Agents are going to do that to your observability stack. Vercel [โ€ฆ]

https://www.linkedin.com/posts/juliocasal_something-broke-in-prod-you-have-no-idea-share-7454601371544264704-Nt1t - "Something broke in prod and I don't know what." That's an observability fail. This is what #OpenTelemetry solves.
Something broke in prod. You have no idea where. That's not a bug. That's a missing observability layer. Many engineering teams reach for logs first. And logs help. But logs alone won't tell youโ€ฆ | Julio Casal | 12 comments

Something broke in prod. You have no idea where. That's not a bug. That's a missing observability layer. Many engineering teams reach for logs first. And logs help. But logs alone won't tell you why a request took 4 seconds, which service caused the cascade, or whether the problem is CPU, memory, or a slow database call. That's what OpenTelemetry solves. It's a vendor-neutral, open standard for collecting the three signals you actually need: ๐“๐ซ๐š๐œ๐ž๐ฌ tell you what happened to a request across every service it touched. You see exactly where latency was introduced and where errors occurred. ๐Œ๐ž๐ญ๐ซ๐ข๐œ๐ฌ give you the numbers over time. Request rates, error rates, GC pressure, thread pool saturation. The stuff that tells you when a system is about to break, not just after it does. ๐‹๐จ๐ ๐ฌ still matter, but structured logs correlated with trace IDs are a completely different tool than raw text files. Here's what makes OpenTelemetry different from everything before it: โ†’ One SDK. Any backend. No vendor lock-in. โ†’ Works with Jaeger, Prometheus, Grafana, Aspire, Azure Monitor, Datadog, whatever you use. โ†’ Auto-instrumentation for ASP .NET Core, HttpClient, EF Core, and more. โ†’ The industry has aligned on this. It's not going away. In ASP .NET Core, setup is a few NuGet packages and a handful of lines in Program.cs. The image has the full code pattern. The real unlock is running an OTLP Collector in production. You batch, filter, and route telemetry without touching your app. Change your backend without a redeploy. Here's a full blueprint to start your next .NET project with all the OpenTelemetry goodness wired up ๐Ÿ‘‡ https://lnkd.in/gnQhKDDC | 12 comments on LinkedIn

LinkedIn

#OpenTelemetry is a #CNCF graduated project

From OpenCensus and OpenTracing to today, this project has been a community effort from the beginning.

Thank you to everyone who contributed code, docs, specs, reviews, feedback, support, and end-user experiences. This milestone belongs to you.

https://opentelemetry.io/blog/2026/otel-graduates/

๐Ÿ‘‡ Learn why #Spotify Engineering relied on #VictoriaMetrics for extreme #Scale observability in this case study.
https://bit.ly/49e5P6w

#Prometheus #OpenTelemetry #Grafana #Engineering #OTel

Spotifyโ€™s performance & control across large monitoring environments with VictoriaMetrics

Spotify needed to replace its legacy in-house time series database to overcome stability and performance limitations, which would bring about query delays and timeouts. The Spotify observability team chose VictoriaMetrics to support efficient metric ingestion, querying, and alerting at scale.

VictoriaMetrics

PromptVC, version control for prompts in production

PromptVC๋Š” ํ”„๋กœ๋•์…˜ ํ™˜๊ฒฝ์—์„œ LLM ํ”„๋กฌํ”„ํŠธ ๋ณ€๊ฒฝ ์ด๋ ฅ์„ ์ฒด๊ณ„์ ์œผ๋กœ ๊ด€๋ฆฌํ•˜๋Š” ๋ฒ„์ „ ๊ด€๋ฆฌ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ํ”„๋กฌํ”„ํŠธ ๋ณ€๊ฒฝ์— ๋”ฐ๋ฅธ ์„ฑ๋Šฅ, ๋น„์šฉ, ์‘๋‹ต ํ’ˆ์งˆ ๋ณ€ํ™”๋ฅผ ์ถ”์ ํ•˜๊ณ , ํ…์ŠคํŠธ ์ฐจ์ด๋ฟ ์•„๋‹ˆ๋ผ ํ–‰๋™ ์ฐจ์ด๊นŒ์ง€ ๋น„๊ตํ•ด ์šด์˜์ƒ์˜ ๋ถˆํ™•์‹ค์„ฑ์„ ์ค„์ž…๋‹ˆ๋‹ค. OpenTelemetry์™€ OpenInference๋ฅผ ํ™œ์šฉํ•ด ์ž๋™์œผ๋กœ LLM ํ˜ธ์ถœ์„ ๊ณ„์ธกํ•˜๋ฉฐ, Python๊ณผ TypeScript SDK๋ฅผ ์ง€์›ํ•ด ๋‹ค์–‘ํ•œ ํ™˜๊ฒฝ์— ์‰ฝ๊ฒŒ ํ†ตํ•ฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ†ต๊ณ„์  ๋ฒค์น˜๋งˆํฌ ๊ธฐ๋Šฅ๋„ ์ œ๊ณตํ•ด ํ”„๋กฌํ”„ํŠธ ๋ณ€๊ฒฝ์˜ ํšจ๊ณผ๋ฅผ ๊ฐ๊ด€์ ์œผ๋กœ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

https://www.promptvc.io/blog/introducing-promptvc

#llm #promptengineering #observability #versioncontrol #opentelemetry

Introducing PromptVC: Prompt Version Control for Production LLM Apps

An LLM feature can regress without a deploy. PromptVC gives LLM applications version history, traces, diffs, metrics, alerts, and enough evidence to say whether a change helped or hurt.

Have you heard of #OpenTelemetry Arrow, but wasn't sure what it was all about? This blog post by Geeking Out host @adrianamvillela demystifies Arrow: What is it? What problem does it solve? How does it work?

Learn more: https://open.substack.com/pub/geekingoutpodcast/p/lets-learn-about-otel-arrow-together?r=27vnzy&utm_campaign=post&utm_medium=web

And don't forget to subscribe to our Substack!

In this new article, I explain how to integrate your Spring AI application with LangSmith for observability, supported by OpenTelemetry and Arconia.

https://www.thomasvitale.com/spring-ai-observability-langsmith-arconia/

#Java #SpringAI #AI #LangChain #LangSmith #OpenTelemetry