投稿時間:2022-03-19 04:29:35 RSSフィード2022-03-19 04:00 分まとめ(30件)

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Docker	dockerタグが付けられた新着投稿 - Qiita	新しいdocker-compose-pluginを使ってみる	https://qiita.com/on0z/items/d5dc1acabc0a3deadfd8		2022-03-19 03:36:38
Docker	dockerタグが付けられた新着投稿 - Qiita	【Docker】複数のdocker-compose.ymlのネットワークを繋げる方法	https://qiita.com/P-man_Brown/items/0cf70086331b97380efa	【Docker】複数のdockercomposeymlのネットワークを繋げる方法はじめに本記事は、プログラミング初学者、学習を進めていて疑問に思った点について調べた結果を備忘録も兼ねてまとめたものです。	2022-03-19 03:04:17
海外TECH	Ars Technica	Sabotage: Code added to popular NPM package wiped files in Russia and Belarus	https://arstechnica.com/?p=1842181	things	2022-03-18 18:31:11
海外TECH	Ars Technica	Mac Studio is far better for the climate than the iMac Pro—even with the display	https://arstechnica.com/?p=1842081	apple	2022-03-18 18:00:34
海外TECH	MakeUseOf	Is PS Now Worth It? The Pros and Cons of PlayStation's Game Streaming Service	https://www.makeuseof.com/ps-now-pros-and-cons-playstation-now-game-streaming/	playstation	2022-03-18 18:45:13
海外TECH	MakeUseOf	How to Do a DIY Bike Fitting With Help From Apps and YouTube	https://www.makeuseof.com/how-do-diy-bike-fitting-help-apps-youtube/	How to Do a DIY Bike Fitting With Help From Apps and YouTubeA bike fittingーwhether DIY with apps and videos or at a pro shopーwill customize your bike for your unique form making rides much more comfortable	2022-03-18 18:30:13
海外TECH	MakeUseOf	How to Repair Microsoft Edge When It's Not Working in Windows 11	https://www.makeuseof.com/windows-11-microsoft-edge-not-working-repair/	browser	2022-03-18 18:15:13
Apple	AppleInsider - Frontpage News	Compared: New 2022 iPad Air vs 2020 iPad Air	https://appleinsider.com/articles/22/03/08/compared-new-2022-ipad-air-vs-2020-ipad-air?utm_medium=rss	Compared New iPad Air vs iPad AirThe fifth generation iPad Air has launched with an upgrade to M and G support but it may be a tough choice for folks that already own the fourth generation model Here s how the two stack up Fourth gen iPad Air in green and fifth gen iPad Air in blueApple s Peek Performance special event had the company reveal an update to the iPad Air bringing it to the fifth generation Sitting between the standard iPad and the iPad Pro the iPad Air offered the styling of the premium model but at a more wallet friendly price For the fifth generation model Apple closes the gap a bit more between the Air and the iPad Pro range at least in terms of specifications Read more	2022-03-18 18:29:44
海外TECH	Engadget	Xbox Game Pass Ultimate members can claim 30 days of free access to Paramount+	https://www.engadget.com/xbox-game-pass-ultimate-paramount-plus-halo-184824314.html?src=rss	Xbox Game Pass Ultimate members can claim days of free access to Paramount Nine years after it first emerged a live action Halo nbsp TV series was in the works the show is only a few days away from premiering on Paramount To celebrate its debut Microsoft is giving Xbox Game Pass Ultimate subscribers a free day trial to the streaming service via Perks FYI Xbox Game Pass Ultimate members can get days of Paramount for free via Perks starting March right before the Halo series lands on March Perfect timing HaloTheSeriespic twitter com rdJoVVSlーJohn Junyszek Unyshek March The offer will be available on March rd the day before Halo arrives There s a catch though Given that only one installment of the nine episode season is scheduled to drop each week you might need to subscribe to Paramount to watch the entire season unless you activate the offer a bit later Paramount costs per month with ads or per month to go commercial free and gain access to a feed from your local live CBS station Earlier this week Paramount released the final trailer for the show which has a separate plot from the games and is already renewed for a second season Along with some story beats the two minute clip shows an Elite with an Energy Sword and several shots of Master Chief in action	2022-03-18 18:48:24
Cisco	Cisco Blog	Establishing connective tissue between multiple clouds and data centers	https://blogs.cisco.com/datacenter/establishing-connective-tissue-between-multiple-clouds-and-data-centers	Establishing connective tissue between multiple clouds and data centersOne of the world s leading construction and project development companies Skanska was initially planning to migrate all of their applications to the cloud but it was a poor fit for their legacy workloads Today s companies need something organic extensible and adaptable They need a connective tissue between multiple clouds and data centers and that s exactly what software defined networking SDN solutions like Cisco ACI and Cisco Cloud ACI provide	2022-03-18 18:35:39
海外科学	NYT > Science	Amid War in Ukraine, I.E.A. Warns Nations of Global Energy Crisis	https://www.nytimes.com/2022/03/18/climate/global-energy-crisis-conserve.html	Amid War in Ukraine I E A Warns Nations of Global Energy CrisisThe International Energy Agency said countries should encourage use of mass transit and car pooling among other things That could also help the climate crisis	2022-03-18 18:31:08
金融	金融庁ホームページ	金融審議会「ディスクロージャーワーキング・グループ」（第７回）を開催します。	https://www.fsa.go.jp/news/r3/singi/20220324.html	金融審議会	2022-03-18 19:15:00
金融	金融庁ホームページ	鈴木財務大臣兼内閣府特命担当大臣閣議後記者会見の概要（令和４年３月８日）を公表しました。	https://www.fsa.go.jp/common/conference/minister/2022a/20220308-1.html	内閣府特命担当大臣	2022-03-18 18:40:00
金融	金融庁ホームページ	金融庁職員の新型コロナウイルス感染について公表しました。	https://www.fsa.go.jp/news/r3/sonota/20220318.html	新型コロナウイルス	2022-03-18 18:20:00
ニュース	BBC News - Home	Ukraine war: Drone footage shows level of devastation in Mariupol	https://www.bbc.co.uk/news/world-europe-60800581?at_medium=RSS&at_campaign=KARANGA	drone	2022-03-18 18:29:01
ニュース	BBC News - Home	Strip-searched Hackney schoolgirl to sue Met Police	https://www.bbc.co.uk/news/uk-england-london-60797237?at_medium=RSS&at_campaign=KARANGA	black	2022-03-18 18:26:25
ニュース	BBC News - Home	Abramovich's jet among 100 planes grounded by US	https://www.bbc.co.uk/news/world-us-canada-60800439?at_medium=RSS&at_campaign=KARANGA	russia	2022-03-18 18:13:07
ニュース	BBC News - Home	P&O Ferries sackings: Government to review contracts with ferry firm	https://www.bbc.co.uk/news/business-60800520?at_medium=RSS&at_campaign=KARANGA	dismissal	2022-03-18 18:41:48
ニュース	BBC News - Home	Blackmore becomes first female jockey to win Gold Cup	https://www.bbc.co.uk/sport/horse-racing/60722745?at_medium=RSS&at_campaign=KARANGA	blackmore	2022-03-18 18:36:00
ビジネス	ダイヤモンド・オンライン - 新着記事	手を洗うとき、育ちがわかる！ 育ちがいい人は決してやらないこと - 育ちがいい人だけが知っていること	https://diamond.jp/articles/-/299382	内容は、マナー講師として活動される中で、「先生、これはマナーではないのですが……」と、質問を受けることが多かった、明確なルールがないからこそ迷ってしまう、日常の何気ないシーンでの正しいふるまいを紹介したもの。	2022-03-19 03:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【マンガ】話題沸騰の書『すばらしい人体』を読んでみた。 - すばらしい人体	https://diamond.jp/articles/-/299350	【マンガ】話題沸騰の書『すばらしい人体』を読んでみた。	2022-03-19 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【精神科医が教える】 我慢して辛くなったあなたへ - 精神科医Tomyが教える 心の荷物の手放し方	https://diamond.jp/articles/-/299400	voicy	2022-03-19 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	入ってきた運が流れ出る 残念なトイレの特徴とは？ - どんな運も、思いのまま！　李家幽竹の風水大全	https://diamond.jp/articles/-/297658	入ってきた運が流れ出る残念なトイレの特徴とはどんな運も、思いのまま李家幽竹の風水大全「どんな人でも運がよくなれる」、それが風水の持つ力です。	2022-03-19 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「いくら休んでも疲れが取れない人」が無意識にやっているNG習慣 - だから、この本。	https://diamond.jp/articles/-/299179		2022-03-19 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	アメリカの個人投資家は、なぜ、ETFを好んで買っているのか？ - ETFはこの7本を買いなさい	https://diamond.jp/articles/-/297054		2022-03-19 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「いい子ちゃん」コンプレックスは、正しい - 起業家の思考法	https://diamond.jp/articles/-/299269		2022-03-19 03:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「仕事は何ですか？」と聞かれたとき、社名を答えると危ない理由 - 東大金融研究会のお金超講義	https://diamond.jp/articles/-/299178	「仕事は何ですか」と聞かれたとき、社名を答えると危ない理由東大金融研究会のお金超講義年月に発足した東大金融研究会。	2022-03-19 03:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【損する副業3選】 「誰でも稼げる」は、誰も稼げないという残酷な真実 - 真の「安定」を手に入れるシン・サラリーマン	https://diamond.jp/articles/-/296758	【損する副業選】「誰でも稼げる」は、誰も稼げないという残酷な真実真の「安定」を手に入れるシン・サラリーマン異例の発売前重版刷仕事がデキない、忙しすぎる、上司のパワハラ、転職したい、夢がない、貯金がない、老後が不安…サラリーマンの悩み、この一冊ですべて解決これからのリーマンに必要なもの、結論、出世より「つの武器」リーマン力副業力マネー力。	2022-03-19 03:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【強運な人は知っている】龍神の力を借りて成功したい人に必要な「龍神ならでは」の特別な条件とは - 龍神とつながる強運人生	https://diamond.jp/articles/-/299117	龍神	2022-03-19 03:05:00
GCP	Cloud Blog	How to build reliable systems (with unreliable components): A conversation	https://cloud.google.com/blog/topics/developers-practitioners/how-build-reliable-systems-unreliable-components-conversation/	How to build reliable systems with unreliable components A conversationWe published another episode of “VM End to End which is a series of curated conversations between a “VM skeptic and a “VM enthusiast Every episode join Brian Carter and a special guest as they explore why VMs are some of Google s most trusted and reliable offerings and how VMs benefit companies operating at scale in the cloud Here is a transcript of the episode Carter Hi and welcome back to VM end to end a show where we have a VM enthusiast and a VM skeptic or former VM skeptic hash out all things VMs If you remember the show from last season we talked about reliability automation cost and all of the benefits that you can get from cloud native VMs but some parts still confuse me So I brought Brian back in to talk about it Brian hi I need to know why I can t have just one giant super machine that just works instead of all these flimsy little parts Brian That would be amazing wouldn t it You know just kind of an infinitely large machine but that is not a thing And this season we re going to bring some guests in to dig deeper into some of these concepts So we brought in Steve McGhee to tell us more about why that isn t a thing and how to get reliability out of things Hey Steve Steve Hey guys How s it going Carter Hi Steve Glad to have you here Can you tell us a little bit about yourself and who you are Steve Sure I m Steve McGhee I was an SRE in Google for about ten years and then I left and I became a customer of cloud and I learned how to cloud and how to use all the different clouds and just how difficult it is actually to kind of make decisions and stuff like that And then I came back to Google to help more customers do exactly that I tend to focus on reliability because my background was in site reliability engineering Carter See this is great because you would think that having one piece of hardware you upgrade and put a lot of resources into will be a lot more reliable than having lots of smaller parts that have to communicate which can all fail So where am I going wrong here Steve Yeah I mean your intent is correct Like it would be sweet if we just had a perfect infinitely dense infinitely fast computer When you work on a system on your laptop… You know the whole phrase it works on my machine like what s the problem When we go into production we re scaling up and we have to scale up because we don t want to have a service for one person We hopefully want it for many people Potentially even around the world or something like that So being able to scale up into production means that we run into fundamental laws of physics So the speed of light comes into play and the density of materials For example it would be bad to go so dense that everything catches fire  And so that means we have to start spreading things out It means we re taking what was one computer and we re spreading it across time and space in a way by using many computers instead I hope that helps understand what the fundamental problem is here Carter It does because we talked about this a lot Brian hammered home a point last season he said a cloud VM is a slice of a data center more so than a slice of one specific machine And so it seems like that s playing out here But what I don t understand is that Google touts its reliability and being up for a long time But how can it do that with so many parts that are constantly going to fail like a disk Steve If you think about what it used to be like during like dot com boom we called these gold plated servers We would make the most expensive solid server that you could ever have And those were pretty awesome But they were super expensive And it turns out that putting all your eggs into the basket of making one machine extremely reliable gets you diminishing returns because you still have to have some downtime for maintenance and things like that And so what we found inside of Google is that we wanted to horizontally scale which is adding more machines at a time to achieve planet wide scale like having billions of users for example You can t fit billions of users on one super machine So once you start horizontally scaling using the most expensive machine possible with a marginal return doesn t make sense And so this is where we introduced resilience at many layers in the stack And it turns out it s way better for the service It s more economical and allows you to move faster which sounds crazy but it s true Brian This shows up in many places in Google Cloud specifically around VMs The VMs themselves are insulated to some degree from the underlying systems through live migration We ve got different zones of separation between them And we got kind of load balancers so that you can hit different pieces But it feels like there s a core principle here or two I don t know if you could talk a little bit more about that Steve Yeah I mean I went to a school in computer science so I consider myself like a computer scientist I guess or a software engineer And like I think everyone who s super into computer science knows the one holy thing is like layers of abstraction Right Abstraction solves everything  I jokingly refer to this as like the matryoshka doll which is like those little nesting dolls you ve seen where you have like the very middle the tiny little doll is like your CPU And then there s a machine and that has a VM around it And that s in a data center which is part of a zone which is then part of a region And so at every layer of this stack if you re able to perform some resilience engineering to make sure that you can take advantage of that layer of the stack this is where you get defense in depth So you re able to handle failures at any level of this stack because you know disks fail CPUs can go out solar flares can cause memory corruption Someone can cut a fiber line to a data center right And the whole building could potentially go offline Floods and fires happen I mean they re rare but there are lots of potential failure modes that you have to consider and they happen at many of these levels So being aware of all those and having mitigations ready for them is super important Brian It s funny we re calling them virtual machines in the cloud but it s really virtual machines and virtual disks and virtual load balancers and Steve That s right I liked what you said in the previous episode that you re getting a slice of a data center because we re able to take all these parts and present them to a customer as a nice abstraction The customer sees this computer with this disk which has this network And in actuality that one disk you have is three disks but we re not showing you all three disks It s just like magically giving this resilience and the redundancy too Carter Yeah I see how abstracting away lower layers and saying I don t care which zone is under this region as long as one of them is up makes sense That would be hard for one supercomputer but it s very feasible for many smaller machines But then you have to start managing these separate zones and VMs and all this extra complexity that comes with it which is one of the downsides of abstraction sometimes How does Google handle that Steve Good question I work with a lot of companies that ask exactly this They re like Great You want us to spread all of our computers around the planet Yeah that doesn t sound like a pain in the butt at all You know it sounds like well how in the heck do you expect me to do like deal with that And again the answer comes back to abstraction So when you think about it like you have one VM and the first step you re going to get is many VMs right So we put these together and we put them behind a load balancer We call this a service If you re familiar with Kubernetes it s pretty much the same idea where you have a bunch of VMs and you have an entry point that talks to all of them If you can take this service and run it across multiple zones we can call it a regional service because it now lives across many of these zones in one region And then if you can get that regional service in many regions I call this a distributed service Like there s no canonical name for that right now But the idea is that it s many of these services but they all do the same thing and represent the same business need And so you re able to now handle regional level events as well Carter Okay Okay I m putting all this together It s still hard for me to believe these components can go down so often yet somehow give you more reliability because you re layering on top of each other Maybe Brian you re always good at giving me concrete examples Where do we use this in Google Cloud Brian  The most common example is when you have multiple VMs doing the same job maybe they re a web server or something like that and you put a load balancer in front of them And like this shows up in physical installations and it shows up in the cloud it s maybe the most common example of this So you have one endpoint and you have multiple different backends that can do the work And if one of them goes away the work still happens So I think that s like my favorite specific example but Steve is there a more general principle at work here Steve Yeah totally So as an analogy  think about boats in the water Like physical boats If you poke a hole in the bottom of your dingy you re going to have a bad day right Carter Yes Steve We call this one failure domain Your little dinghy is a failure domain because there s only one floor to it And if you put a hole anywhere in that floor it s going to flood It s not great But think of a bigger ship like a container ship or some giant vessel of some kind they re kind of like a bunch of little boats tied together because they have these things called bulkheads So you could poke a hole in the bottom of these big ships and it would be fine because what it would do is it d fill up that bulkhead but the rest of the boat is so buoyant that it stays floating So essentially like you re taking these things that could fail with a hole and you stick them together And now the system as a whole doesn t fail even with that same failure mode Brian Right So that s what s going on with our VMs and load balancer kind of thing But how does this work If you ve got VMs and load balancers and zones and regions and other distributed services how do we reason about this Like how do we decide how much complexity we re going to put into this Steve Good question Yeah that was kind of like the abstract academic answer Let s talk about like reality Steve It s important to understand what level of availability you can expect from the systems you re building on top of Like how often do we get a hole in the bottom of a boat Like can we get a number That would be nice  The way that we suggest people think about it is that for something that lives in one zone we say it s going to be available of the time Specifically we say it s designed to be available of the time It means it will be down or unavailable for minutes a month And it s essential to know that s something you can pretty much count on it s not like the best case or the worst case scenario Similarly if you have something across many zones in a region we call that four nines It s available And the way to think about that is it s minutes a year of downtime Computers stay up quite a lot and forty minutes in an entire year is a tiny fraction of that time But sometimes that s still not acceptable and it comes down to what you re putting on these computers Like are you okay with those three nines or those four nines of availability You have to decide what s appropriate for you Carter I get this now Because basically you re saying Okay I have two computers and they re only down minutes every year If we layer them over each other when one s down the other one s probably not down so we re good  It s interesting to see the added complexity that comes in that you have to manage independently I wonder if I have to come in as the developer and be like Okay I have to schedule this computer to be up watching for the other one to be down or is this something that the infrastructure can start to take care of for you Steve Yeah The good news is this is a problem we ve been dealing with inside Google for the past years And we ve come up with many solutions and improvements to the system that we re bringing to cloud customers For example we know that you sometimes have to power down a rack of machines And if your server is on that rack  we built this thing called live migration which takes like the soul of your machine the running system the running software and transports it magically to another machine And that way we can safely power down this rack and bring it back up again It s one less thing for you to worry about And when I said before that machines are designed to have of availability it accounts for stuff like this This is how we re giving you availability There s a bunch of other stuff too Sometimes maybe the machine has a problem or maybe the building it s in needs maintenance Who knows All kinds of things could go wrong and we aggregate all that risk into one number And then we give you that expectation and you don t have to worry about all those weird things that could go wrong You just know this machine will be up of the time Brian So by running a VM in a cloud instead of on an individual physical machine a whole bunch of these kinds of edge cases are handled for you  You get many tools following this same pattern For example something similar is happening at the disk level We ve got load balancers built out of bunches of machines We ve got groups of VMs like managed instance groups and then like zones and regions and all this kind of stuff  But then at some point some reliability must be left to the app right Carter Like you re saying you want to design an application that can handle this forty minutes of downtime a year too as well That s interesting Brian Yeah Okay So we get to the point where we can trust the VMs and then kind of build from there I guess Steve Yeah The important point is to know what level of trust you can put into the VM and what you re doing is you re putting that trust into the hands of your cloud provider and you re saying Look just tell me what it s going to be On GCP for our VMs we tell you it will be for one VM in one zone And then it just means that you get to put that all out of your mind and you can trust that number is going to be accurate and now you can work around it You mustn t think that that number is one hundred percent even though it looks close enough to a hundred because that s not true If you make a distinction between and a hundred you re going to make radically different design choices in your application You re going to start introducing things like retries or checkpointing or you re going to allow your service to live in two places simultaneously Like what if one request comes in here and one comes in there and like this one s up and this one s not Like now that you ve allowed a little bit of failure into your understanding of the model you change the way you think about designing your system And that to me one of the fundamental things that made Google succeed from the very beginning was that we designed our systems to allow some form of failure And then we just added that resiliency over and over and over again throughout the stack Carter The way you just worded that finally made it click for me By planning for failure I ll have the case covered no matter what the failure is And there might be some delay in getting this information to me somehow so I ll retry sending it And that allows you to build more resilience and reliability into your system without knowing the exact failure There are important cases in the real world where this matters which is why there s so much effort going into this thought Steve That s right It s important not to try to get the highest level of reliability out of absolutely everything Some websites or services or whatever can be down and it s no big deal But other services are essential and need higher reliability  So let s say there s a service that responds when someone needs to get a new delivery of oxygen tanks to some medical center We should probably make sure that that one works most of the time And even if you make a request and like it doesn t work right away but we know that once we put it in it was received and someone will take action on it or something like that This is just a silly example but more and more of these services are becoming more and more important to the world as we re just putting more of our society online I think COVID is actually an interesting time to go through this whole reliability effort because we saw a lot of services become more and more important to individuals in an accelerated way So think about video conferencing for school kids or just ordering things from home Doing this online is becoming more important So making sure that you can do it when you want to do it is more of a big deal even than it used to be Brian Yeah Things are getting very real and as more of our life goes online it becomes more critical Okay this has been amazing I think we re going to have to wrap up this one but I feel like there s much more to talk about here So Steve would you be up for coming back and talking specifically about when you decide you know what questions you ask you about how to whether you re going to try to get another nine and then how do you actually do it Steve Yeah I think I can make it it s fine I think this is an important thing like people really want to hear about this stuff So I d love to come back Carter Well thank you so much Steve Brian thank you so much If you re listening at home please write in the comments and let us know if there s anything you ve learned about reliability I know I learned a few things maybe you did too Thank you Special thanks to Steve McGhee Reliability Advocate at Google for being this episode s guest Related ArticleVMs and their relevance to a cloud native future A conversationDo VMs Even Matter A conversation based on a new Podcast VM End To End about VMs and their relevance to a cloud native futureRead Article	2022-03-18 18:30:00