DataHoarding Status Report APR 2025
Storage Server is all green. Got capacity.
Send me Memes to fill it
#datahoard #homelab #server #hosting
DataHoarding Status Report APR 2025
Storage Server is all green. Got capacity.
Send me Memes to fill it
#datahoard #homelab #server #hosting
Iโve been thinking lately (always a mistake) about all the cultural works to which we don't have access. Everything removed from streaming; everything locked behind DRM so that most libraries and archives won't have copies which can redundantly survive disruption. Sometimes I get real sad about the future readers and historians and others who just won't be able to find copies of the incredible things made during the current digital dark age.
As ever, I try to let this radicalize me rather than lead me into despair. I know that there are lots of horrors worth raging against, but this is one I feel well-positioned to work against. It's low-stakes enough that I won't feel self-loathing if I burn out or need to take a break. It's no secret that I like to read and organize books so this is a topic close to my heart and one which can bring me joy and allow me to share it with those around me too. There is a fair bit of tech nerd stuff to it, enough that I have an opportunity to learn & practice new things, but not so much that Iโm totally out of my depth. And there are plenty of communities out there to help and share strategies.
But the big thing I see missing from my understanding and many of the conversations about shadow libraries and unauthorized archivism is the social and professional practice of librarianship rather than mechanical practice of data storage. I don't have space to go to library school, but I could definitely stand to read (and archive) introductory books on the topic, or take an online class. Friends who know: what are some of the better places to get started with an introduction to library & information science and archive science?
#libraries #librarian #archivist #archives #archivism #archivist #libraryScience #informationScience #archiveScience #culture #repositories #dataHoard #archiving #piracy #unauthorizedArchives #guerillaArchives #shadowLibraries #digiPres #digitalPreservation
What's the path of least resistance to archive reddit.com threads that are somehow still online?
I've seen that web.archive.org and archive.is can get blocked by reddit's bot detection, and even if not, they don't archive all the permalinks to nested comments etc.
#datahoarder #datahoarding #datahoard #dataarchival #webarchiving #reddit
Apparently I just noticed I am storing over 55.5 TERABYTES of data on my server.
My server's 89% Full in one year and 10 months.
How did I get here again? ๐
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: South-East Asia ๐ [flights]
๐ฅ: ๐ฒ๐พKUL - Kuala Lumpur [6.687]๐
๐ฅ: ๐ธ๐ฌSIN - Singapore [6.582]
๐ฅ: ๐ฎ๐ฉCGK - Jakarta [6.540]๐
4 : ๐น๐ญBKK - Bangkok [6.175]
5 : ๐ต๐ญMNL - Manila [5.178]
6 : ๐น๐ผTPE - Taipei [4.539]๐
7 : ๐ป๐ณSGN - Ho Chi Minh City [3.728]
8 : ๐น๐ญDMK - Bangkok (Don M.) [3.175]
9 : ๐ป๐ณHAN - Hanoi [2.804]
10 : ๐ฎ๐ฉDPS - Denpasar [2.707]๐
#Datahoard #ATC
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: Central Asia ๐ [flights]
๐ฅ: ๐ฐ๐ฟALA - Almaty [1.432]
๐ฅ: ๐ฆ๐ฟGYD - Baku [1.316]
๐ฅ: ๐บ๐ฟTAS - Tashkent [1.081]
4 : ๐ฐ๐ฟNQZ - Nur-Sultan [849]
5 : ๐ฐ๐ฌFRU - Bishkek [458]
6 : ๐น๐ฒASB - Ashkhabad [333]
#Flights #Datahoard #Airtravel #Dataisbeautiful #Airports #Aviation #Avgeek #AirTraffic #Aviationlovers #Planes #Aviationdaily #Planespotting #ATC #FR24
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: #China ๐ฒ [flights]
๐ฅ: ๐จ๐ณPVG - Shanghai [8.916]
๐ฅ: ๐จ๐ณCAN - Guangzhou [8.025]โฌ
๐ฅ: ๐จ๐ณPEK - Beijing [7.877]โฌ
4 : ๐จ๐ณSZX - Shenzhen [7.044]
5 : ๐จ๐ณXIY - Xian [6.134]
6 : ๐จ๐ณPKX - Lixian [6.093]
7 : ๐จ๐ณCKG - Chongqing [5.703]โฌ
8 : ๐จ๐ณKMG - Kunming [5.681]โฌ
9 : ๐จ๐ณHGH - Hangzhou [5.422]
10 : ๐จ๐ณSHA - Shanghai [4.826]
#Datahoard #Flying #Dataisbeautiful #FR24
๐LONGEST DISTANCE๐
Week 37: ๐ฉ #India ๐ [km]
๐ฅ: ๐ฎ๐ณ BLR-SFO ๐บ๐ธ @airindia [14.015]
๐ฅ: ๐ฎ๐ณ BOM-SFO ๐บ๐ธ @airindia [13.511]
๐ฅ: ๐ฎ๐ณ BOM-EWR ๐บ๐ธ @airindia [12.546]
4 : ๐ฎ๐ณ BOM-JFK ๐บ๐ธ @airindia [12.532]
5 : ๐ฎ๐ณ DEL-SFO ๐บ๐ธ @airindia [12.381]
6 : ๐ฎ๐ณ DEL-IAD ๐บ๐ธ @airindia [12.058]
7 : ๐ฎ๐ณ DEL-ORD ๐บ๐ธ @airindia [12.021]
8 : ๐ฎ๐ณ DEL-EWR ๐บ๐ธ @united [11.764]
#Aviation #Datahoard #Flying #FR24 #Airtravel
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: #Belgium ๐ง [flights]
๐ฅ: ๐ง๐ชBRU - Brussels [3.739]
๐ฅ: ๐ง๐ชCRL - Charleroi [958]
#Flying #Planes #Datahoard #Avgeek #FR24 #Airtravel #Airports #ATC #Dataisbeautiful #Aviation #Aviationdaily #AirTraffic #Planespotting #Aviationlovers
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: #SaudiArabia ๐ธ๐ฆ [flights]
๐ฅ: ๐ธ๐ฆJED - Jeddah [4.691]
๐ฅ: ๐ธ๐ฆRUH - Riyadh [4.589]
๐ฅ: ๐ธ๐ฆDMM - Dammam [1.658]
4 : ๐ธ๐ฆMED - Madinah [1.042]๐
5 : ๐ธ๐ฆAHB - Abha [565]
6 : ๐ธ๐ฆGIZ - Gizan [361]๐
7 : ๐ธ๐ฆTUU - Tabuk [307]
#Planespotting #ATC #Flying #AirTraffic #FR24 #Airports #Planes #Dataisbeautiful #Aviationdaily #Aviationlovers #Airtravel #Datahoard #Avgeek
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: Oceania ๐ [flights]
๐ฅ: ๐ฆ๐บSYD - Sydney [5.596]๐
๐ฅ: ๐ฆ๐บMEL - Melbourne [4.413]๐
๐ฅ: ๐ฆ๐บBNE - Brisbane [3.760]๐
4 : ๐ณ๐ฟAKL - Auckland [2.545]๐
5 : ๐ฆ๐บPER - Perth [2.483]
6 : ๐ฆ๐บADL - Adelaide [1.607]๐
7 : ๐ณ๐ฟCHC - Christchurch [1.216]๐
8 : ๐ณ๐ฟWLG - Wellington [1.114]๐
9 : ๐ฆ๐บCNS - Cairns [974]๐
10 : ๐ฆ๐บCBR - Canberra [713]๐
#Flights #Datahoard #Airtravel
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: #SouthKorea ๐ฅ [flights]
๐ฅ: ๐ฐ๐ทICN - Seoul [7.482]๐
๐ฅ: ๐ฐ๐ทCJU - Cheju [3.389]๐
๐ฅ: ๐ฐ๐ทGMP - Seoul (Gimpo) [2.488]๐
4 : ๐ฐ๐ทPUS - Busan [1.881]๐
5 : ๐ฐ๐ทCJJ - Chongju [597]๐
6 : ๐ฐ๐ทTAE - Taegu [432]๐
#Airports #Flying #Planes #Dataisbeautiful #Aviation #Airtravel #AirTraffic #FR24 #Avgeek #Aviationlovers #Planespotting #Aviationdaily #Datahoard #ATC
๐ซBUSIEST AIRPORTS๐ฌ
Week 37: North-East Asia ๐ [flights]
๐ฅ: ๐ฏ๐ตHND - Tokyo [9.028]โฌ๐
๐ฅ: ๐จ๐ณPVG - Shanghai [8.916]โฌ
๐ฅ: ๐จ๐ณCAN - Guangzhou [8.025]โฌ
4 : ๐จ๐ณPEK - Beijing [7.877]โฌ
5 : ๐ฐ๐ทICN - Seoul [7.482]๐
6 : ๐จ๐ณSZX - Shenzhen [7.044]
7 : ๐จ๐ณXIY - Xian [6.134]
8 : ๐จ๐ณPKX - Lixian [6.093]
9 : ๐จ๐ณCKG - Chongqing [5.703]โฌ
10 : ๐จ๐ณKMG - Kunming [5.681]โฌ
#Airports #Datahoard #Airtravel
โฑMOST ON-TIME AIRLINESโฑ
Week 37: ๐จโโ๏ธ European Airlines ๐
๐ฅ: ๐ท๐บ@Aeroflot - [65.7%]
๐ฅ: ๐ฉ๐ฐ@Sas - [59.6%]
๐ฅ: ๐ณ๐ดNorwegian - [58.1%]
4 : ๐ช๐ธ@vueling - [46.3%]โฌ๐
5 : ๐ฎ๐ช@ryanair - [43.3%]โฌ๐
6 : ๐ช๐ธ@Iberia - [40.8%]โฌ๐
7 : ๐น๐ทPegasus - [36.2%]โฌ๐
8 : ๐ฌ๐ง@easyjet - [35.6%]โฌ๐
9 : ๐ซ๐ท@AirFrance - [34.6%]๐
10 : ๐ญ๐บ@wizzair - [33.8%]โฌ
#Dataisbeautiful #Datahoard #Aviationlovers #FR24
๐ผAIRPORT PROFILE๐ซ
๐ถ๐ฆDOH - Doha๐ถ๐ฆ
- ๐ซ Total departures/routes: 10421/194
- โญ Most traveled route: DOH-DXB
- ๐ฅ Longest flight: DOH-AKL [14537km]
โณ Delayed flights: 64.1%
โฑ Median dep. delay: 20m
๐ Cancellation rate: 0.1%
*last 30 days
#Dataisbeautiful #ATC #Airtravel #FR24 #Planespotting #Flights #Aviationdaily #Aviationlovers #AirTraffic #Datahoard #Avgeek #Airports #Planes
๐ค๐ฅ DATA PROCESSING STATS ๐ฅ๐ค
Week 37:
๐ซ Processed Flights: 3.184.005 โฌ
๐งณ Commercial: 3.070.935
๐ฆ Cargo: 53.704 | ๐ฅ Private: 59.366
๐ Routes: 67.354 โฌ
๐จโโ๏ธ Airlines: 1.314
๐ผ Airports: 5.080 ๐
๐ Cities: 3.823
๐ฐ๐ฎ Countries: 233
#ATC #FR24 #Flights #Dataisbeautiful #Datahoard #Avgeek #Aviationdaily #AirTraffic #Planes #Airtravel #Planespotting #Airports #Aviationlovers
โณLONGEST DURATIONโณ
Week 36: ๐ฉ EU ๐ช๐บ
๐ฅ: ๐ซ๐ท CDG-PER ๐ฆ๐บ @Qantas QF34 [16h33m]
๐ฅ: ๐ณ๐ฑ AMS-CGK ๐ฎ๐ฉ Fly Garuda GA89 [14h37m]
๐ฅ: ๐ซ๐ท CDG-SCL ๐จ๐ฑ @AirFrance AF406 [14h01m]๐
4 : ๐ช๐ธ BCN-SCL ๐จ๐ฑ Level [13h58m]๐
5 : ๐ฎ๐น FCO-EZE ๐ฆ๐ท @Aerolineas_AR AR1141 [13h48m]๐
6 : ๐ซ๐ท CDG-HND ๐ฏ๐ต @AirFrance AF274 [13h26m]๐
7 : ๐ณ๐ฑ AMS-TPE ๐น๐ผ China Airl. CI74 [13h24m]๐
#AirTraffic #FR24 #Flying #Datahoard #Avgeek
๐ซBUSIEST AIRPORTS๐ฌ
Week 36: #Portugal ๐ [flights]
๐ฅ: ๐ต๐นLIS - Lisbon [4.534]
๐ฅ: ๐ต๐นOPO - Porto [2.262]๐
๐ฅ: ๐ต๐นFAO - Faro [1.641]
4 : ๐ต๐นPDL - Ponta Delgada [696]๐
5 : ๐ต๐นFNC - Funchal [643]
#Aviation #Planespotting #Datahoard #AirTraffic #FR24 #Airtravel #Flying #Airports #Aviationlovers #Dataisbeautiful #Aviationdaily #Avgeek #ATC #Planes
๐ซBUSIEST AIRPORTS๐ฌ
Week 36: South Asia ๐ [flights]
๐ฅ: ๐ฎ๐ณDEL - Delhi [8.419]
๐ฅ: ๐ฎ๐ณBOM - Mumbai [6.011]๐
๐ฅ: ๐ฎ๐ณBLR - Bangalore [4.752]๐
4 : ๐ฎ๐ณHYD - Hyderabad [3.579]๐
5 : ๐ฎ๐ณMAA - Madras [2.755]๐
6 : ๐ฎ๐ณCCU - Kolkata [2.671]
7 : ๐ง๐ฉDAC - Dhaka [1.579]๐
8 : ๐ฎ๐ณAMD - Ahmedabad [1.561]
9 : ๐ฎ๐ณCOK - Kochi [1.366]๐
10 : ๐ณ๐ตKTM - Kathmandu [1.266]โฌ๐
#Datahoard #Flying #Aviationdaily
๐ซBUSIEST AIRPORTS๐ฌ
Week 36: #Poland ๐ฅ [flights]
๐ฅ: ๐ต๐ฑWAW - Warsaw [3.604]๐
๐ฅ: ๐ต๐ฑKRK - Krakow [1.545]๐
๐ฅ: ๐ต๐ฑGDN - Gdansk [1.082]๐
4 : ๐ต๐ฑKTW - Katowice [1.003]๐
5 : ๐ต๐ฑWRO - Wroclaw [743]๐
6 : ๐ต๐ฑPOZ - Poznan [624]๐
#AirTraffic #Planespotting #Aviation #Aviationdaily #ATC #Datahoard #Airtravel #Dataisbeautiful #Airports #FR24 #Flights #Avgeek #Planes #Aviationlovers