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A look into the scale of the Cloud

A look into the scale of the Cloud

I’ve spent hours doing various kinds of maths in order to figure out how big the big cloud providers actually are, and I tought it was worth sharing (part of) the results. Before showing you the numbers, I want to make sure who reads this post fully understands the method and the results, so please don’t jump to the numbers.

The most difficult part of the job was figuring out a way for measuring their size. Provided that my aim is not to calculate how big a single cloud provider actually is, but rather how they compare to each other, I decided to count the number of public IP addresses the company is using.

This number could seem easy to understand, but believe me it is not. It means nothing if you want to measure the size of a single platform, because we don’t know how those IP addresses are being used internally, and don’t know how many of them are being used by customers.

Moreover, we are in the cloud era, and thousands of instances could be hidden behind a single frontend with a single public IP: in this case, my calculation method would count them all as a single instance. This is the reason why I’m making a distinction between leaders and low cost providers.

It’s all about their typical use case: low cost providers generally don’t host big infrastructures or clusters, so their instances are more likely to be using public IP addresses. Leaders are hosting very large scale platforms, and they are more likely to host extremely high percentages of non public facing instances.

I’m counting for each cloud provider the number of IP addresses announced by its Autonomous System(s). In addition, leaders publish a list of IPs that they use (see Sources), but I’ve found this list to be used in different ways: Microsoft Azure for example is announcing all the ranges included in its list, but Amazon is not. I double checked and the ranges not being announced are really assigned to Amazon, so this simply means they aren’t being used (yet).

This is making the comparation yet more difficult to carry out, because in it we have players that simply announce to the internet any range they own, and others that announce only the ones actually in use or soon to be.

Finally, here are the numbers (remember the unit of measure is the single public IP address).


Amazon Microsoft Google
Announced 11,202,304 19,593,984 1,377,024
Declared 19,022,512 7,501,920 556,800

Low Cost

OVH DigitalOcean Hetzner Linode
Announced 1,709,312 930,560 906,752 325,632 311,296

And a graph.


Do you think I forgot someone? Please let me know!



Announced: IP ranges announced from the company’s one or more Autonomous Systems.

Declared: Amazon Web Services, Google Cloud*, Microsoft Azure.

* Ref: “Where can I find Compute Engine IP ranges?”

Amazon AWS: nessun downtime dovuto al terremoto

Amazon AWS: nessun downtime dovuto al terremoto

Ieri, 11 Marzo 2011 uno dei più forti terremoti degli ultimi 150 anni ha colpito il Giappone. A poco più di 24 ore dal sisma si contano già 1500 morti. Si contano le vittime e si teme per Fukushima I, centrale nucleare colpita dal sisma che pare abbia causato la distruzione del sarcofago di uno dei reattori (6 già attivi e 2 in costruzione).

Le autorità rassicurano, considerata la differente tipologia del reattore e le differenti misure di sicurezza, è impossibile il ripetersi di un incidente simile a quello di Chernobyl del 1986.

Comunque, lascio il lavoro da reporter alla BBC che ne sa sicuramente più di me e torno al mio. Guardate l’immagine qui sotto:

Si tratta di uno screenshot della pagina in cui è riassunto lo stato di tutti i servizi Amazon AWS di tutte le regioni. Come potete notare, durante e dopo il sisma la struttura Amazon di Tokyo non ha subito nessun downtime nè nessun rallentamento. Quando dico che mi fido ciecamente del Cloud computing.

Sono curioso, voglio vedere se Amazon rilascerà un comunicato ufficiale sull’accaduto.

L’ultimo pensiero va, ovviamente, alle vittime del sisma e alle decine di migliaia di persone che hanno perso tutto.

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