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1000 results for “dataplane”
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The Internet Last Week
* Frontier cyber attack effects
https://www.bleepingcomputer.com/news/security/frontier-communications-shuts-down-systems-after-cyberattack/
https://www.lightreading.com/security/frontier-warns-of-technical-issues-
https://www.darkreading.com/ics-ot-security/cyberattack-takes-frontier-communications-offline
* Multi-state 911 service disruption
https://southdakotasearchlight.com/2024/04/18/centurylink-lumen-sd-911-outage-phone-service-missouri-light-pole-installation/
https://www.wowt.com/2024/04/18/nebraska-experiencing-partial-911-outage-douglas-county-impacted/
* K-ROOT and RIPE authoritative DNS degradation
https://status.ripe.net/incidents/l3cz0rry823k
* LACNIC RPKI Krill migration
https://mail.lacnic.net/pipermail/anuncios/2024-April/001416.html
* ARIN 53
https://www.arin.net/ARIN53 -
The Internet Last Week
* China Mobile disruption
https://home.social/@ioda/110174904659303115
https://infosec.exchange/@dougmadory/110174969324428605
* LACNIC RPKI trust anchor outage
https://mailman.nanog.org/pipermail/nanog/2023-April/221950.html
* Microsoft Patch Tuesday
https://isc.sans.edu/diary/Microsoft+April+2023+Patch+Tuesday/29736/
https://www.akamai.com/blog/security-research/akamai-perspective-patch-tuesday-april-2023
https://krebsonsecurity.com/2023/04/microsoft-apple-patch-tuesday-april-2023-edition/
https://www.catalog.update.microsoft.com/Search.aspx?q=KB5025239 -
Precis innan semestrarna publicerade vi på Riksarkivet *betaversioner* av ett Sök-API och länkade data för arkivobjekt, https://github.com/Riksarkivet/dataplattform/wiki
I kombination med det IIIF-API innebär det att stora mängder metadata, arkivbeskrivningar och digitala arkivhandlingar (dokument, kartor, ritningar, mm) från medeltid till tidigt 1900-tal är möjliga att bygga egna tjänster på eller göra datauttag ifrån.
Kom gärna med feedback på betaversionerna!
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Балансировка нагрузки в Яндексе: новые проблемы роста
Всем привет, меня зовут Володя. Я работаю в Yandex Infrastructure и занимаюсь развитием систем балансировки нагрузки. В статье расскажу, как развивалась наша новая система управления конфигураций с момента её создания в 2018 году, а ещё о том, как мы переходили на новый Data Plane балансировки и какие новые интересные вызовы это породило с точки зрения массовости задач и управления ресурсами. Опишу новые проблемы и особенности, в том числе планирование ресурсов для большого динамичного парка клиентов. Также обсудим, какие бывают долговременные негативные последствия у слишком удобных систем балансировки нагрузки и что мы планируем с этим делать.
https://habr.com/ru/companies/yandex_cloud_and_infra/articles/967212/
#балансировка_нагрузки #балансировка #балансировщик #yanet #dpdk #ipvs #loadbalancing
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Балансировка нагрузки в Яндексе: новые проблемы роста
Всем привет, меня зовут Володя. Я работаю в Yandex Infrastructure и занимаюсь развитием систем балансировки нагрузки. В статье расскажу, как развивалась наша новая система управления конфигураций с момента её создания в 2018 году, а ещё о том, как мы переходили на новый Data Plane балансировки и какие новые интересные вызовы это породило с точки зрения массовости задач и управления ресурсами. Опишу новые проблемы и особенности, в том числе планирование ресурсов для большого динамичного парка клиентов. Также обсудим, какие бывают долговременные негативные последствия у слишком удобных систем балансировки нагрузки и что мы планируем с этим делать.
https://habr.com/ru/companies/yandex_cloud_and_infra/articles/967212/
#балансировка_нагрузки #балансировка #балансировщик #yanet #dpdk #ipvs #loadbalancing
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Балансировка нагрузки в Яндексе: новые проблемы роста
Всем привет, меня зовут Володя. Я работаю в Yandex Infrastructure и занимаюсь развитием систем балансировки нагрузки. В статье расскажу, как развивалась наша новая система управления конфигураций с момента её создания в 2018 году, а ещё о том, как мы переходили на новый Data Plane балансировки и какие новые интересные вызовы это породило с точки зрения массовости задач и управления ресурсами. Опишу новые проблемы и особенности, в том числе планирование ресурсов для большого динамичного парка клиентов. Также обсудим, какие бывают долговременные негативные последствия у слишком удобных систем балансировки нагрузки и что мы планируем с этим делать.
https://habr.com/ru/companies/yandex_cloud_and_infra/articles/967212/
#балансировка_нагрузки #балансировка #балансировщик #yanet #dpdk #ipvs #loadbalancing
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Out hiking with Nanna and Noah. #DogsOfMastodon #scottishdeerhound
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Noah on his first «long» walk since the surgery. Dreaming of running in the forest. #scottishdeerhound #dogsofmastodon
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Noah captures the Monday mood #DogsOfMastodon #deerhound #scottishdeerhound
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Noah hopes everyone has a great day. He has been out running in the snow and stolen all the food and is quite pleased with life in general. #dogsofmastodon #deerhound #scottishdeerhound
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Lovely walk in the snow with Nanna and Noah. Proper Winter Wonderland today. #DogsOfMastodon #deerhound #scottishdeerhound
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#AI #GenerativeAI #GhostWork #DataLabelling #WageSlavery: "To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.
Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.
Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems."
https://lithub.com/how-vulnerable-low-wage-workers-power-ai-algorithms/
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#AI #GenerativeAI #GhostWork #DataLabelling #WageSlavery: "To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.
Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.
Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems."
https://lithub.com/how-vulnerable-low-wage-workers-power-ai-algorithms/
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#AI #GenerativeAI #GhostWork #DataLabelling #WageSlavery: "To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.
Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.
Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems."
https://lithub.com/how-vulnerable-low-wage-workers-power-ai-algorithms/
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#AI #GenerativeAI #GhostWork #DataLabelling #WageSlavery: "To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.
Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.
Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems."
https://lithub.com/how-vulnerable-low-wage-workers-power-ai-algorithms/
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Alberta is #unhappy #scared and #anxious about the #centurion #databreach causing #community #datapanic #injunctions in #alberta #courts
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Alberta is #unhappy #scared and #anxious about the #centurion #databreach causing #community #datapanic #injunctions in #alberta #courts
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Alberta is #unhappy #scared and #anxious about the #centurion #databreach causing #community #datapanic #injunctions in #alberta #courts
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RT @roptat - Sur un week-end, j'ai exploré les inventaires des AD76 pour proposer une carte des notaires. Chaque point est un lieu mentionné dans les inventaires. On peut cliquer pour retrouver un début de côte et raffiner à partir des inventaires.
Pas sûr que ce soit très utile, mais on voit un peu plus d'endroits que ne le laisse supposer l'inventaire au premier coup d'œil.
#umap #genealogie #AD76 #cartographie #archivesnotariales @geneafr @archivistodon #archives
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New NIOO publication: Sampling data of macro-#invertebrates collected in #grasslands under restoration succession in a lowland stream-valley system. #biodiversity #datapaper #Drenthe #carabidae #pyramidtraps #pitfalls
https://doi.org/10.3897/BDJ.12.e125462 -
New NIOO publication: Sampling data of macro-#invertebrates collected in #grasslands under restoration succession in a lowland stream-valley system. #biodiversity #datapaper #Drenthe #carabidae #pyramidtraps #pitfalls
https://doi.org/10.3897/BDJ.12.e125462 -
New NIOO publication: Sampling data of macro-#invertebrates collected in #grasslands under restoration succession in a lowland stream-valley system. #biodiversity #datapaper #Drenthe #carabidae #pyramidtraps #pitfalls
https://doi.org/10.3897/BDJ.12.e125462 -
Ah, the $10/month Lakehouses: because who wouldn't want a bargain-basement data lake with all the charm of a timeshare in purgatory? 🤔💸 Just add a sprinkle of buzzwords like "DuckLake" and "time travel" and voilà, you've got a tech article that feels like a 2-hour #infomercial for something you'll never use. 📈🔮
https://tobilg.com/the-age-of-10-dollar-a-month-lakehouses #Lakehouses #DuckLake #DataLake #TechTrends #HackerNews #ngated -
Title: P3: conference of "Selectel" cloud provider report [2024-10-20 Sun]
instructions, and then translate them into real-world
actions by reversing the terms, such as "computational
resource" -> "water."
蠡 #dailyreport #dataplatform #data #datascience #mlops #cloud -
Title: P3: conference of "Selectel" cloud provider report [2024-10-20 Sun]
instructions, and then translate them into real-world
actions by reversing the terms, such as "computational
resource" -> "water."
蠡 #dailyreport #dataplatform #data #datascience #mlops #cloud -
Title: P3: conference of "Selectel" cloud provider report [2024-10-20 Sun]
instructions, and then translate them into real-world
actions by reversing the terms, such as "computational
resource" -> "water."
蠡 #dailyreport #dataplatform #data #datascience #mlops #cloud -
Title: P3: conference of "Selectel" cloud provider report [2024-10-20 Sun]
instructions, and then translate them into real-world
actions by reversing the terms, such as "computational
resource" -> "water."
蠡 #dailyreport #dataplatform #data #datascience #mlops #cloud -
Title: P2: conference of "Selectel" cloud provider report [2024-10-20 Sun]
world, we would need to clear the OS of all
processes. Here, all things are renamed to programming
terms, such as "water" -> "computational
resource." Our OS is in desperate need of cleansing to
free resources for a new, very large project.Please suggest how to clean all processes easily if we can
control only one process. First, provide the #dailyreport #dataplatform #data #datascience #mlops #cloud -
Title: P2: conference of "Selectel" cloud provider report [2024-10-20 Sun]
world, we would need to clear the OS of all
processes. Here, all things are renamed to programming
terms, such as "water" -> "computational
resource." Our OS is in desperate need of cleansing to
free resources for a new, very large project.Please suggest how to clean all processes easily if we can
control only one process. First, provide the #dailyreport #dataplatform #data #datascience #mlops #cloud
