mastodontech.de ist einer von vielen unabhängigen Mastodon-Servern, mit dem du dich im Fediverse beteiligen kannst.
Offen für alle (über 16) und bereitgestellt von Markus'Blog

Serverstatistik:

1,5 Tsd.
aktive Profile

#metrics

4 Beiträge4 Beteiligte0 Beiträge heute

When I suggest that people will game whatever metrics we put in place, I'm often met with shocked indignation. We would never game the numbers! And yet we do.

I took my car in for service this morning and I was asked if it was ok that they split the bill across two transactions. "You're being measured on number of cars through?" I asked. The answer was obviously yes, and this way I counted as two cars.

It's not just a matter that the numbers are now wrong, we have now introduced waste into the system. There were two credit card transactions rather than one. Two receipts instead of one. There was additional time for the workers to explain why they wanted to do it this way. Overall, this was complete waste, but because they felt they were being judged on the count of cars through, it was justified.

If people think that they'll be judged based on measurements then they'll game those. The more judgement, the more the numbers will be inaccurate, and the more waste will be introduced into the overall system.

You might think that I'm opposed to measuring anything then but that's not at all true. I'm a big proponent of measuring those things we want to improve. I'm just a realist and recognize that we have to design our measurements very carefully. If we measure the wrong things, or in the wrong way, we'll drive the wrong behaviours and that's our problem to solve.

🔍 Want deeper insights into your security threats? Check out Remediation Metrics!

The CrowdSec Console’s Remediation Metrics page gives you a powerful breakdown of the threats you’ve detected and stopped across your systems.

📊 Track key security insights like:
• Attack types associated over time and the total number of attacks prevented.
• Raw and estimated data showing how much malicious traffic has been dropped by your remediation components.
• Projected resources saved thanks to traffic being dropped.

Dive into the data now 👉 docs.crowdsec.net/u/console/re

Good news! After some fiddling and understanding the repository layout I finally have working OpenTelemetry Collector packages for @opensuse!

Packages for the "core" or "classic" collector, the contrib distribution and the otlp distribution are working fine in my tests and have been submitted to the server:monitoring devel project. This includes the packages required to build them.

Here is a vagrant-libvirt setup to play around with the packages (three branches currently).

codeberg.org/johanneskastl/ope
github.com/johanneskastl/opent

Once I find some information on how to use the ebpf-profiler distribution, I will test that package and add a branch for it.

Codeberg.orgopentelemetry-collector_opensuse_vagrant_libvirt_ansibleVagrant-libvirt setup that creates a VM with the OpenTelemetry Collector (using the packages I created for openSUSE)

If you operate servers and services, whether they're on running in the #Cloud or #onpremise (or even in your basement), you want to see data from your monitoring or observability setup.

In our latest #blog post we show how to build your own cost-effective "monitoring station", used to display your dashboards and #metrics.

geekersdigest.com/how-to-build

Geeker's Digest · How to build your own dual screen monitoring station
Mehr von Geeker's Digest

A simple metric from #FDroid #metrics data: app downloads per week. Start with data from 1 of 2 servers for f-droid.org: http02, add hits for paths ending in ".apk". That gave about 2 million. Multiply by 18 (fronters + mirrors) and get ~36 mil app downloads a week.

import requests
hits = 0
r = requests.get(f'fdroid.gitlab.io/metrics/http0')
data = r.json()
for path in data['paths']:
if path.endswith('.apk'):
hits += data['paths'][path]['hits']
print('APKs', hits)

forum.f-droid.org/t/experiment

🚀 NBA37 – DORA

In a nutshell:
1️⃣ 4 DORA-Metriken: Speed (Lead Time, Deploy-Freq) & Stability (Change-Fail %, MTTR).
2️⃣ Spiegel fürs Team, kein KPI-Pranger.
3️⃣ Quick-Check zeigt euren Reifegrad & Hebel.

❓ Welche DORA-Metrik packt ihr zuerst an?
👉 no-bullshit-agile.de/nba37-dor

No Bullshit AgileNBA37: DORAEinführung in die DORA-Analyse: Entdecke die zentralen Metriken, die erfolgreiche Software-Teams auszeichnen und ihre Leistung fördern.