#raspberry-pi — Public Fediverse posts

Amiga-Inspired AROS Goes Bare Metal on Raspberry Pi

https://fed.brid.gy/r/https://hackaday.com/2026/08/23/amiga-inspired-aros-goes-bare-metal-on-raspberry-pi/

Amiga-Inspired AROS Goes Bare Metal on Raspberry Pi

https://fed.brid.gy/r/https://hackaday.com/2026/08/23/amiga-inspired-aros-goes-bare-metal-on-raspberry-pi/

Amiga-Inspired AROS Goes Bare Metal on Raspberry Pi

https://fed.brid.gy/r/https://hackaday.com/2026/08/23/amiga-inspired-aros-goes-bare-metal-on-raspberry-pi/

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 23-08-2026 10:38 CEST Max Elev: 48° W Sun Elevation: 49° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 23-08-2026 10:38 CEST Max Elev: 48° W Sun Elevation: 49° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 23-08-2026 10:38 CEST Max Elev: 48° W Sun Elevation: 49° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

Introduction to Python and Electronics Workshop Series (5 Weeks)

Learning Studios, The Digital Depot, Saturday, September 5 at 11:00 AM GMT+1

sundmay⚡️ Welcome to the world of electronics with Python that can interact with electronics (it's called CircuitPython).

⚙️ Through a series of five 1.5 hour workshops, we will introduce you to circuits with paper circuits, find out what breadboards are (It's not made of bread 🍞). How it all connects together, what is a Raspberry Pi Pico, and how do you use code to make it all work? And what is this CircuitPython you keep mentioning?

🎮 By the last session, you will be able to code a game controller connected to a Raspberry Pi Pico, and when you connect that a laptop, you can play games! And as it's customisable, you can change and modify it as it's all in Python! 🐍

👉 Each session builds on the previous one, so it's advised to attend all the sessions.

NOTE: There's only 10 places for this workshop.
We hope to see more folks from the underrepresented community to participate in our workshop series.

🎟️ Register here: https://ti.to/coding-grace/circuitpython-and-electronics-workshop-series

🗓️ Workshop Dates

• Session 1 - Intro to Circuits with Paper Circuits: Sat, Sep 5 (11:00 - 12:30)

• Session 2 - A Taste of Electronics: Sat, Sep 12 (11:00 - 12:30)

• Session 3 - A Taste of Pico: Sat, Sep 19 (11:00 - 12:30)

• Session 4 - More with CircuitPython and Pico: Sat, Sep 26 (11:00 - 12:30)

• Session 5 - ALT.CTRL GamePad: Sat, Oct 3 (11:00 - 12:30)

🙏 Thank you

• This workshop series is part-funded by Dublin City Council's Dublin City Council Community Grant Scheme 2026: The Informal Adult Education Grant

• A big thank you to The Digital Hub for their continued support of our diversity in tech events

💖 Community Partners

PyLadies Dublin | GameCraft

https://ainriail.org/event/introduction-to-python-and-electronics-workshop-series-5-weeks-1

Introduction to Python and Electronics Workshop Series (5 Weeks)

Learning Studios, The Digital Depot, Saturday, September 5 at 11:00 AM GMT+1

sundmay⚡️ Welcome to the world of electronics with Python that can interact with electronics (it's called CircuitPython).

⚙️ Through a series of five 1.5 hour workshops, we will introduce you to circuits with paper circuits, find out what breadboards are (It's not made of bread 🍞). How it all connects together, what is a Raspberry Pi Pico, and how do you use code to make it all work? And what is this CircuitPython you keep mentioning?

🎮 By the last session, you will be able to code a game controller connected to a Raspberry Pi Pico, and when you connect that a laptop, you can play games! And as it's customisable, you can change and modify it as it's all in Python! 🐍

👉 Each session builds on the previous one, so it's advised to attend all the sessions.

NOTE: There's only 10 places for this workshop.
We hope to see more folks from the underrepresented community to participate in our workshop series.

🎟️ Register here: https://ti.to/coding-grace/circuitpython-and-electronics-workshop-series

🗓️ Workshop Dates

• Session 1 - Intro to Circuits with Paper Circuits: Sat, Sep 5 (11:00 - 12:30)

• Session 2 - A Taste of Electronics: Sat, Sep 12 (11:00 - 12:30)

• Session 3 - A Taste of Pico: Sat, Sep 19 (11:00 - 12:30)

• Session 4 - More with CircuitPython and Pico: Sat, Sep 26 (11:00 - 12:30)

• Session 5 - ALT.CTRL GamePad: Sat, Oct 3 (11:00 - 12:30)

🙏 Thank you

• This workshop series is part-funded by Dublin City Council's Dublin City Council Community Grant Scheme 2026: The Informal Adult Education Grant

• A big thank you to The Digital Hub for their continued support of our diversity in tech events

💖 Community Partners

PyLadies Dublin | GameCraft

https://ainriail.org/event/introduction-to-python-and-electronics-workshop-series-5-weeks-1

Introduction to Python and Electronics Workshop Series (5 Weeks)

Learning Studios, The Digital Depot, Saturday, September 5 at 11:00 AM GMT+1

sundmay⚡️ Welcome to the world of electronics with Python that can interact with electronics (it's called CircuitPython).

⚙️ Through a series of five 1.5 hour workshops, we will introduce you to circuits with paper circuits, find out what breadboards are (It's not made of bread 🍞). How it all connects together, what is a Raspberry Pi Pico, and how do you use code to make it all work? And what is this CircuitPython you keep mentioning?

🎮 By the last session, you will be able to code a game controller connected to a Raspberry Pi Pico, and when you connect that a laptop, you can play games! And as it's customisable, you can change and modify it as it's all in Python! 🐍

👉 Each session builds on the previous one, so it's advised to attend all the sessions.

NOTE: There's only 10 places for this workshop.
We hope to see more folks from the underrepresented community to participate in our workshop series.

🎟️ Register here: https://ti.to/coding-grace/circuitpython-and-electronics-workshop-series

🗓️ Workshop Dates

• Session 1 - Intro to Circuits with Paper Circuits: Sat, Sep 5 (11:00 - 12:30)

• Session 2 - A Taste of Electronics: Sat, Sep 12 (11:00 - 12:30)

• Session 3 - A Taste of Pico: Sat, Sep 19 (11:00 - 12:30)

• Session 4 - More with CircuitPython and Pico: Sat, Sep 26 (11:00 - 12:30)

• Session 5 - ALT.CTRL GamePad: Sat, Oct 3 (11:00 - 12:30)

🙏 Thank you

• This workshop series is part-funded by Dublin City Council's Dublin City Council Community Grant Scheme 2026: The Informal Adult Education Grant

• A big thank you to The Digital Hub for their continued support of our diversity in tech events

💖 Community Partners

PyLadies Dublin | GameCraft

https://ainriail.org/event/introduction-to-python-and-electronics-workshop-series-5-weeks-1

Introduction to Python and Electronics Workshop Series (5 Weeks)

Learning Studios, The Digital Depot, Saturday, September 5 at 11:00 AM GMT+1

sundmay⚡️ Welcome to the world of electronics with Python that can interact with electronics (it's called CircuitPython).

⚙️ Through a series of five 1.5 hour workshops, we will introduce you to circuits with paper circuits, find out what breadboards are (It's not made of bread 🍞). How it all connects together, what is a Raspberry Pi Pico, and how do you use code to make it all work? And what is this CircuitPython you keep mentioning?

🎮 By the last session, you will be able to code a game controller connected to a Raspberry Pi Pico, and when you connect that a laptop, you can play games! And as it's customisable, you can change and modify it as it's all in Python! 🐍

👉 Each session builds on the previous one, so it's advised to attend all the sessions.

NOTE: There's only 10 places for this workshop.
We hope to see more folks from the underrepresented community to participate in our workshop series.

🎟️ Register here: https://ti.to/coding-grace/circuitpython-and-electronics-workshop-series

🗓️ Workshop Dates

• Session 1 - Intro to Circuits with Paper Circuits: Sat, Sep 5 (11:00 - 12:30)

• Session 2 - A Taste of Electronics: Sat, Sep 12 (11:00 - 12:30)

• Session 3 - A Taste of Pico: Sat, Sep 19 (11:00 - 12:30)

• Session 4 - More with CircuitPython and Pico: Sat, Sep 26 (11:00 - 12:30)

• Session 5 - ALT.CTRL GamePad: Sat, Oct 3 (11:00 - 12:30)

🙏 Thank you

• This workshop series is part-funded by Dublin City Council's Dublin City Council Community Grant Scheme 2026: The Informal Adult Education Grant

• A big thank you to The Digital Hub for their continued support of our diversity in tech events

💖 Community Partners

PyLadies Dublin | GameCraft

https://ainriail.org/event/introduction-to-python-and-electronics-workshop-series-5-weeks-1

Introduction to Python and Electronics Workshop Series (5 Weeks)

Learning Studios, The Digital Depot, Saturday, September 5 at 11:00 AM GMT+1

sundmay⚡️ Welcome to the world of electronics with Python that can interact with electronics (it's called CircuitPython).

⚙️ Through a series of five 1.5 hour workshops, we will introduce you to circuits with paper circuits, find out what breadboards are (It's not made of bread 🍞). How it all connects together, what is a Raspberry Pi Pico, and how do you use code to make it all work? And what is this CircuitPython you keep mentioning?

🎮 By the last session, you will be able to code a game controller connected to a Raspberry Pi Pico, and when you connect that a laptop, you can play games! And as it's customisable, you can change and modify it as it's all in Python! 🐍

👉 Each session builds on the previous one, so it's advised to attend all the sessions.

NOTE: There's only 10 places for this workshop.
We hope to see more folks from the underrepresented community to participate in our workshop series.

🎟️ Register here: https://ti.to/coding-grace/circuitpython-and-electronics-workshop-series

🗓️ Workshop Dates

• Session 1 - Intro to Circuits with Paper Circuits: Sat, Sep 5 (11:00 - 12:30)

• Session 2 - A Taste of Electronics: Sat, Sep 12 (11:00 - 12:30)

• Session 3 - A Taste of Pico: Sat, Sep 19 (11:00 - 12:30)

• Session 4 - More with CircuitPython and Pico: Sat, Sep 26 (11:00 - 12:30)

• Session 5 - ALT.CTRL GamePad: Sat, Oct 3 (11:00 - 12:30)

🙏 Thank you

• This workshop series is part-funded by Dublin City Council's Dublin City Council Community Grant Scheme 2026: The Informal Adult Education Grant

• A big thank you to The Digital Hub for their continued support of our diversity in tech events

💖 Community Partners

PyLadies Dublin | GameCraft

https://ainriail.org/event/introduction-to-python-and-electronics-workshop-series-5-weeks-1

When your retro-pi Pi4 decides "NOT TODAY, SATAN". Ah well. Time to do some fixin.

#retrogaming #RaspberryPi #pi4

When your retro-pi Pi4 decides "NOT TODAY, SATAN". Ah well. Time to do some fixin.

#retrogaming #RaspberryPi #pi4

When your retro-pi Pi4 decides "NOT TODAY, SATAN". Ah well. Time to do some fixin.

#retrogaming #RaspberryPi #pi4

When your retro-pi Pi4 decides "NOT TODAY, SATAN". Ah well. Time to do some fixin.

#retrogaming #RaspberryPi #pi4

When your retro-pi Pi4 decides "NOT TODAY, SATAN". Ah well. Time to do some fixin.

#retrogaming #RaspberryPi #pi4

Procesor oferuje sporą moc do postawienia sobie kilku prostych aplikacji serwerowych do zastosowań domowych. W zasadzie to jestem zaskoczony, bo komputer pracuje znacznie żwawiej niż #RaspberryPi czy #OrangePi. Do tego procesor x86_64 daje znacznie szerszy dostęp do oprogramowania niż ARM. No i pozostaje zużycie prądu - według plotek wynosi 3-5W w idle'u, co jest niesamowitą wartością choć sam tego nie mierzyłem (jeszcze).

Głównymi ograniczeniami będzie przestrzeń dyskowa (emmc 8GB) i 2 GB RAM

Procesor oferuje sporą moc do postawienia sobie kilku prostych aplikacji serwerowych do zastosowań domowych. W zasadzie to jestem zaskoczony, bo komputer pracuje znacznie żwawiej niż #RaspberryPi czy #OrangePi. Do tego procesor x86_64 daje znacznie szerszy dostęp do oprogramowania niż ARM. No i pozostaje zużycie prądu - według plotek wynosi 3-5W w idle'u, co jest niesamowitą wartością choć sam tego nie mierzyłem (jeszcze).

Głównymi ograniczeniami będzie przestrzeń dyskowa (emmc 8GB) i 2 GB RAM

Procesor oferuje sporą moc do postawienia sobie kilku prostych aplikacji serwerowych do zastosowań domowych. W zasadzie to jestem zaskoczony, bo komputer pracuje znacznie żwawiej niż #RaspberryPi czy #OrangePi. Do tego procesor x86_64 daje znacznie szerszy dostęp do oprogramowania niż ARM. No i pozostaje zużycie prądu - według plotek wynosi 3-5W w idle'u, co jest niesamowitą wartością choć sam tego nie mierzyłem (jeszcze).

Głównymi ograniczeniami będzie przestrzeń dyskowa (emmc 8GB) i 2 GB RAM

Procesor oferuje sporą moc do postawienia sobie kilku prostych aplikacji serwerowych do zastosowań domowych. W zasadzie to jestem zaskoczony, bo komputer pracuje znacznie żwawiej niż #RaspberryPi czy #OrangePi. Do tego procesor x86_64 daje znacznie szerszy dostęp do oprogramowania niż ARM. No i pozostaje zużycie prądu - według plotek wynosi 3-5W w idle'u, co jest niesamowitą wartością choć sam tego nie mierzyłem (jeszcze).

Głównymi ograniczeniami będzie przestrzeń dyskowa (emmc 8GB) i 2 GB RAM

Procesor oferuje sporą moc do postawienia sobie kilku prostych aplikacji serwerowych do zastosowań domowych. W zasadzie to jestem zaskoczony, bo komputer pracuje znacznie żwawiej niż #RaspberryPi czy #OrangePi. Do tego procesor x86_64 daje znacznie szerszy dostęp do oprogramowania niż ARM. No i pozostaje zużycie prądu - według plotek wynosi 3-5W w idle'u, co jest niesamowitą wartością choć sam tego nie mierzyłem (jeszcze).

Głównymi ograniczeniami będzie przestrzeń dyskowa (emmc 8GB) i 2 GB RAM

Looking for an ultra-lightweight OS for your #RaspberryPi?

I tested #DietPi against standard Raspberry Pi OS Lite to measure real-world performance differences. The benchmark results:

📉 RAM Usage: 109 MiB vs 176 MiB (-38%)
💾 Storage: 953 MB vs 4.1 GB (-77%)
⚡ Boot Time: 12.5s vs 21.8s (-42%)

Read the full step-by-step installation guide and performance review:

🔗 https://peppe8o.com/install-dietpi-raspberry-pi/

#Linux #OpenSource #Debian #SelfHosting #SysAdmin

Looking for an ultra-lightweight OS for your #RaspberryPi?

I tested #DietPi against standard Raspberry Pi OS Lite to measure real-world performance differences. The benchmark results:

📉 RAM Usage: 109 MiB vs 176 MiB (-38%)
💾 Storage: 953 MB vs 4.1 GB (-77%)
⚡ Boot Time: 12.5s vs 21.8s (-42%)

Read the full step-by-step installation guide and performance review:

🔗 https://peppe8o.com/install-dietpi-raspberry-pi/

#Linux #OpenSource #Debian #SelfHosting #SysAdmin

Looking for an ultra-lightweight OS for your #RaspberryPi?

I tested #DietPi against standard Raspberry Pi OS Lite to measure real-world performance differences. The benchmark results:

📉 RAM Usage: 109 MiB vs 176 MiB (-38%)
💾 Storage: 953 MB vs 4.1 GB (-77%)
⚡ Boot Time: 12.5s vs 21.8s (-42%)

Read the full step-by-step installation guide and performance review:

🔗 https://peppe8o.com/install-dietpi-raspberry-pi/

#Linux #OpenSource #Debian #SelfHosting #SysAdmin

Looking for an ultra-lightweight OS for your #RaspberryPi?

I tested #DietPi against standard Raspberry Pi OS Lite to measure real-world performance differences. The benchmark results:

📉 RAM Usage: 109 MiB vs 176 MiB (-38%)
💾 Storage: 953 MB vs 4.1 GB (-77%)
⚡ Boot Time: 12.5s vs 21.8s (-42%)

Read the full step-by-step installation guide and performance review:

🔗 https://peppe8o.com/install-dietpi-raspberry-pi/

#Linux #OpenSource #Debian #SelfHosting #SysAdmin

Looking for an ultra-lightweight OS for your #RaspberryPi?

I tested #DietPi against standard Raspberry Pi OS Lite to measure real-world performance differences. The benchmark results:

📉 RAM Usage: 109 MiB vs 176 MiB (-38%)
💾 Storage: 953 MB vs 4.1 GB (-77%)
⚡ Boot Time: 12.5s vs 21.8s (-42%)

Read the full step-by-step installation guide and performance review:

🔗 https://peppe8o.com/install-dietpi-raspberry-pi/

#Linux #OpenSource #Debian #SelfHosting #SysAdmin

🇷🇸Ground Station: Nis, Serbia METEOR-M2 4 22-08-2026 14:27 CEST Max Elev: 70° E Sun Elevation: 49° Gain: 15 | Northbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 4 22-08-2026 14:27 CEST Max Elev: 70° E Sun Elevation: 49° Gain: 15 | Northbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 4 22-08-2026 14:27 CEST Max Elev: 70° E Sun Elevation: 49° Gain: 15 | Northbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 4 22-08-2026 14:27 CEST Max Elev: 70° E Sun Elevation: 49° Gain: 15 | Northbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 4 22-08-2026 14:27 CEST Max Elev: 70° E Sun Elevation: 49° Gain: 15 | Northbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 4 22-08-2026 14:27 CEST Max Elev: 70° E Sun Elevation: 49° Gain: 15 | Northbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

#Image-handler für den #Raspberrypi. 🆕 Version Raspi-auto-Downloader

* Komfortabler Download und Installer auf SD-Karte.
* Neu mit Bugfix für moderne SD-Kartenadapter.
* Unterstützt aktuelles Dietpi und RaspiOS.
* Von mir gemacht, getestet mit bestem Wissen und Gewissen für die Shell und ohne KI.
https://github.com/dewomser/Raspi-auto-downloader

#Image-handler für den #Raspberrypi. 🆕 Version Raspi-auto-Downloader

* Komfortabler Download und Installer auf SD-Karte.
* Neu mit Bugfix für moderne SD-Kartenadapter.
* Unterstützt aktuelles Dietpi und RaspiOS.
* Von mir gemacht, getestet mit bestem Wissen und Gewissen für die Shell und ohne KI.
https://github.com/dewomser/Raspi-auto-downloader

#Image-handler für den #Raspberrypi. 🆕 Version Raspi-auto-Downloader

* Komfortabler Download und Installer auf SD-Karte.
* Neu mit Bugfix für moderne SD-Kartenadapter.
* Unterstützt aktuelles Dietpi und RaspiOS.
* Von mir gemacht, getestet mit bestem Wissen und Gewissen für die Shell und ohne KI.
https://github.com/dewomser/Raspi-auto-downloader

#Image-handler für den #Raspberrypi. 🆕 Version Raspi-auto-Downloader

* Komfortabler Download und Installer auf SD-Karte.
* Neu mit Bugfix für moderne SD-Kartenadapter.
* Unterstützt aktuelles Dietpi und RaspiOS.
* Von mir gemacht, getestet mit bestem Wissen und Gewissen für die Shell und ohne KI.
https://github.com/dewomser/Raspi-auto-downloader

#Image-handler für den #Raspberrypi. 🆕 Version Raspi-auto-Downloader

* Komfortabler Download und Installer auf SD-Karte.
* Neu mit Bugfix für moderne SD-Kartenadapter.
* Unterstützt aktuelles Dietpi und RaspiOS.
* Von mir gemacht, getestet mit bestem Wissen und Gewissen für die Shell und ohne KI.
https://github.com/dewomser/Raspi-auto-downloader

Question for the #homelab nerds out there.

I have a running family of projects (well more like a breakfast club of misfits) that I've been deploying to my "lab" (by which I mean, currently, a mediocre #raspberrypi), currently stitched together with docker-compose.

An important underlying theme to this effort, and a reason why I'm sticking with the pi, is a focus upon resource-constrained, high-efficiency, self-contained, open-source computing. Kinda the opposite of the vibe of the times, I know, but I think it's important.

I suspect I'm far from alone in this, and I'm curious: what are other folks working on projects like this use for observability? So far, I'm cobbling my own together with shell scripts and instrumentation in the code (using #tokio tracing if it matters).

I don't really want to go down the "standard" bobsled run that ends with an army of proxmox vms and various free-tier accounts on cloud-based services... again, resource-constrained and self-contained. It feels like we used to have tools like this, when every server was a pet; surely those haven't gone away?

Search results, unfortunately, are twenty pages of "The N best homelab observability stacks in 2026! (Number N-M will suprise you)" AI-generated marketing blogslop, all of which I've sampled launch an aforementioned sled.

So, asking here. Tips solicited. Retoots welcome.

#askfedi

Question for the #homelab nerds out there.

I have a running family of projects (well more like a breakfast club of misfits) that I've been deploying to my "lab" (by which I mean, currently, a mediocre #raspberrypi), currently stitched together with docker-compose.

An important underlying theme to this effort, and a reason why I'm sticking with the pi, is a focus upon resource-constrained, high-efficiency, self-contained, open-source computing. Kinda the opposite of the vibe of the times, I know, but I think it's important.

I suspect I'm far from alone in this, and I'm curious: what are other folks working on projects like this use for observability? So far, I'm cobbling my own together with shell scripts and instrumentation in the code (using #tokio tracing if it matters).

I don't really want to go down the "standard" bobsled run that ends with an army of proxmox vms and various free-tier accounts on cloud-based services... again, resource-constrained and self-contained. It feels like we used to have tools like this, when every server was a pet; surely those haven't gone away?

Search results, unfortunately, are twenty pages of "The N best homelab observability stacks in 2026! (Number N-M will suprise you)" AI-generated marketing blogslop, all of which I've sampled launch an aforementioned sled.

So, asking here. Tips solicited. Retoots welcome.

#askfedi

Question for the #homelab nerds out there.

I have a running family of projects (well more like a breakfast club of misfits) that I've been deploying to my "lab" (by which I mean, currently, a mediocre #raspberrypi), currently stitched together with docker-compose.

An important underlying theme to this effort, and a reason why I'm sticking with the pi, is a focus upon resource-constrained, high-efficiency, self-contained, open-source computing. Kinda the opposite of the vibe of the times, I know, but I think it's important.

I suspect I'm far from alone in this, and I'm curious: what are other folks working on projects like this use for observability? So far, I'm cobbling my own together with shell scripts and instrumentation in the code (using #tokio tracing if it matters).

I don't really want to go down the "standard" bobsled run that ends with an army of proxmox vms and various free-tier accounts on cloud-based services... again, resource-constrained and self-contained. It feels like we used to have tools like this, when every server was a pet; surely those haven't gone away?

Search results, unfortunately, are twenty pages of "The N best homelab observability stacks in 2026! (Number N-M will suprise you)" AI-generated marketing blogslop, all of which I've sampled launch an aforementioned sled.

So, asking here. Tips solicited. Retoots welcome.

#askfedi

Question for the #homelab nerds out there.

I have a running family of projects (well more like a breakfast club of misfits) that I've been deploying to my "lab" (by which I mean, currently, a mediocre #raspberrypi), currently stitched together with docker-compose.

An important underlying theme to this effort, and a reason why I'm sticking with the pi, is a focus upon resource-constrained, high-efficiency, self-contained, open-source computing. Kinda the opposite of the vibe of the times, I know, but I think it's important.

I suspect I'm far from alone in this, and I'm curious: what are other folks working on projects like this use for observability? So far, I'm cobbling my own together with shell scripts and instrumentation in the code (using #tokio tracing if it matters).

I don't really want to go down the "standard" bobsled run that ends with an army of proxmox vms and various free-tier accounts on cloud-based services... again, resource-constrained and self-contained. It feels like we used to have tools like this, when every server was a pet; surely those haven't gone away?

Search results, unfortunately, are twenty pages of "The N best homelab observability stacks in 2026! (Number N-M will suprise you)" AI-generated marketing blogslop, all of which I've sampled launch an aforementioned sled.

So, asking here. Tips solicited. Retoots welcome.

#askfedi

Question for the #homelab nerds out there.

I have a running family of projects (well more like a breakfast club of misfits) that I've been deploying to my "lab" (by which I mean, currently, a mediocre #raspberrypi), currently stitched together with docker-compose.

An important underlying theme to this effort, and a reason why I'm sticking with the pi, is a focus upon resource-constrained, high-efficiency, self-contained, open-source computing. Kinda the opposite of the vibe of the times, I know, but I think it's important.

I suspect I'm far from alone in this, and I'm curious: what are other folks working on projects like this use for observability? So far, I'm cobbling my own together with shell scripts and instrumentation in the code (using #tokio tracing if it matters).

I don't really want to go down the "standard" bobsled run that ends with an army of proxmox vms and various free-tier accounts on cloud-based services... again, resource-constrained and self-contained. It feels like we used to have tools like this, when every server was a pet; surely those haven't gone away?

Search results, unfortunately, are twenty pages of "The N best homelab observability stacks in 2026! (Number N-M will suprise you)" AI-generated marketing blogslop, all of which I've sampled launch an aforementioned sled.

So, asking here. Tips solicited. Retoots welcome.

#askfedi

Migrating my Sites into Docker Containers

https://alexmasters.com/migrating-my-sites-into-docker-containers/

Migrating my Sites into Docker Containers

https://alexmasters.com/migrating-my-sites-into-docker-containers/

Migrating my Sites into Docker Containers

https://alexmasters.com/migrating-my-sites-into-docker-containers/

Migrating my Sites into Docker Containers

https://alexmasters.com/migrating-my-sites-into-docker-containers/

Migrating my Sites into Docker Containers

https://alexmasters.com/migrating-my-sites-into-docker-containers/

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 11:02 CEST Max Elev: 30° W Sun Elevation: 52° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 11:02 CEST Max Elev: 30° W Sun Elevation: 52° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 11:02 CEST Max Elev: 30° W Sun Elevation: 52° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 11:02 CEST Max Elev: 30° W Sun Elevation: 52° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 11:02 CEST Max Elev: 30° W Sun Elevation: 52° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 11:02 CEST Max Elev: 30° W Sun Elevation: 52° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 09:22 CEST Max Elev: 36° E Sun Elevation: 38° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 09:22 CEST Max Elev: 36° E Sun Elevation: 38° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

🇷🇸Ground Station: Nis, Serbia METEOR-M2 3 22-08-2026 09:22 CEST Max Elev: 36° E Sun Elevation: 38° Gain: 15 | Southbound

#NOAA #NOAA15 #NOAA18 #NOAA19 #MeteorM2_3 #MeteorM2_4 #weather #weathersats #APT #LRPT #wxtoimg #MeteorDemod #rtlsdr #gpredict #raspberrypi #RN2 #ISS

Tomb Raider Underworld Test 01 (Raspberry Pi 500+)

https://www.youtube.com/watch?v=cqEkaMqdLd8

#raspberrypi #GamingOnLinux #Linux #Gaming #ARM #Proton #Steam

Tomb Raider Underworld Test 01 (Raspberry Pi 500+)

https://www.youtube.com/watch?v=cqEkaMqdLd8

#raspberrypi #GamingOnLinux #Linux #Gaming #ARM #Proton #Steam

Tomb Raider Underworld Test 01 (Raspberry Pi 500+)

https://www.youtube.com/watch?v=cqEkaMqdLd8

#raspberrypi #GamingOnLinux #Linux #Gaming #ARM #Proton #Steam

Tomb Raider Underworld Test 01 (Raspberry Pi 500+)

https://www.youtube.com/watch?v=cqEkaMqdLd8

#raspberrypi #GamingOnLinux #Linux #Gaming #ARM #Proton #Steam