https://www.cyberus-technology.de/posts/2019-05-14-zombieloa...
https://www.cyberus-technology.de/posts/2019-05-14-zombieloa...
I've also seen teams where the Defintion of Done doesn't include any steps at all towards deployment. Done is when someone approves the pull request.
Not surprisingly, it takes longer for those teams to 'complete' a change. In the former case, they are continuously surprised, and angered, by 'requirements' that 'no one' told them about. In the later, they stop halfway, and wonder why everyone is waiting on them, because it's 'development complete'.
A cursory look would imply that each color segment increments population count in some sort of consistent and logical way, but it doesn't.
The increments are like so:
0 to 1 million
1 million to 5 million (5x increase)
5 million to 10 million (2x)
10 million to 20 million (2x)
20 million to 50 million (2.5x)
50 million to 100 million (2x)
100 million to >500 million (5x+)
That last category is the most misleading, because it paints the US, Russia, China, India, and a bunch of other countries as being in the same league, when they're not even close.
The details show the US at 320 million people, Russia at 144 million, the China at 1.4 BILLION and India at 1.3 Billion.
It's insane that these are grouped together. Totally nonsensical. The difference between China and Russia is about 10x. [UPDATE: My initial bad math said it was a 77x difference.]
</rant>
The population of Russia is ~146.7M [0]
The population of China is ~1,403M (~1.4B) [1]
This makes China ~9.6 times larger than Russia.
The US is ~327M [2], which makes China about ~4.3 times as large.
It's a big difference, but not as large as 77x.
[0] - https://en.wikipedia.org/wiki/Russia
Put another way, after 5 years, the average weight loss was ~3kg, with an average weight gain of 78.6% of the original lost weight.
Also, in general, an obese person who is obese before, and after 5 years has a weight that is ~3kg is likely still obese.
So this study basically just says that an average person isn't successful at keeping a large amount of weight, and gains most of it back. The specific statistics stated by the commenter above may not be correct, but the sentiment is definitely true.
That said, the study does confirm that very low energy diets (~800 meal replacement) beat out hypoenergetic balanced diet (~1200-1500 normal food) in long term weight maintence. Which is what the article is suggesting being implemented. So it's still not a great long term solution, but it's the better of the two non-exercise based solutions which this study evaluated.
I'm not sure where you got the $219 price from, but the stock price was nowhere near that before the breach.
Was it really a block at the registrar level or was it a block at the DNS level, i.e., the registrar also ran DNS service and their DNS service refused to return responses for zoho.com domains?
At what layer or at which stage of the protocol can a registrar disrupt this and take a domain offline?
Terms:
ICANN: The organization responsible for coordinating the maintenance of the domain name system (among other things).
Registrar: A company authorized to update ICANN database on behalf of registrants. Google, GoDadddy, Enom, etc are registrars
Registrants: An entity that wants to register a domain name. In this case, Zoho is a registrant, but it could also be an individual. This is your role if you 'own' a domain.
Authoritative Name Server: A domain name server that is considered authoritative for a specific domain.
Stuff registrars can do (among other things):
1.) They can update the ICANN database to disable a domain completely[1]
2.) They can replace your authoritative name servers with their own or someone else's (ex: botnet domains being reassigned to a security company for dismantling via court order)[2]
3.) If the authoritative name servers for a domain are owned by the registrar, then the registrar can merely change the DNS entries themselves to point to something other than the domain owner's wishes.
[0] - https://en.wikipedia.org/wiki/ICANN
[1] - https://www.icann.org/resources/pages/epp-status-codes-2014-...
[2] - https://www.icann.org/en/system/files/files/guidance-domain-...
It's left as a very simple task for developers leveraging DynamoDB to make the appropriate trade offs on consistent or inconsistent read.
source: Used to work for AWS on a service that heavily leveraged DynamoDB. Not _once_ did we experience any problems with consistency or reliability, despite them and us going through numerous network partitions in that time. The only major issue came towards the end of my time there when DynamoDB had that complete service collapse for several hours.
On the sheer scale that DynamoDB operates at, it's more likely to be a question of "How many did we automatically handle this week?" than "How often do we have to deal with network partitions?"
"GetItem provides an eventually consistent read by default."
This seems to meet the definition of "DynamoDB's default settings"
[0] - https://docs.aws.amazon.com/amazondynamodb/latest/APIReferen...
I understand not wanting to change the implementation now, but users should never have assumed it would be stable in the first place.
It's not an assumption. It's directly in the documentation.
"If the same seed is used for separate Random objects, they will generate the same series of random numbers."[0]
[0] - https://docs.microsoft.com/en-us/dotnet/api/system.random
I (still) work with a Classic ASP code base.
I kid you not, that there are VBScript functions, which call JScript (not JavaScript) functions, which in turn call VBScript functions.
It is a terrifying and glorious mess.
edit:
I also worked with a system at one time that used node.js to create C# files on the file system, then use the C# compiler to create an executable and then run it. It was... not great.