Google data centers explained
Google data centers are the large data center facilities Google uses to provide their services, which combine large drives, computer nodes organized in aisles of racks, internal and external networking, environmental controls (mainly cooling and humidification control), and operations software (especially as concerns load balancing and fault tolerance).
There is no official data on how many servers are in Google data centers, but Gartner estimated in a July 2016 report that Google at the time had 2.5 million servers. This number is changing as the company expands capacity and refreshes its hardware.[1]
Locations
The locations of Google's various data centers by continent are as follows:[2] [3]
!Continent!Location!Geo!Products Location!Cloud Location!Timeline!DescriptionNorth America | Arcola (VA), USA | 38.9433°N -77.5243°W | Loudoun County | N. Virginia (us-east4) | 2017 - announced[4] [5] | |
North America | Atlanta (GA), USA | 33.7497°N -84.5848°W | Douglas County | - | 2003 - launched | 350 employees |
South America | Cerrillos, Santiago, Chile | [6] | - | Santiago (southamerica-west1) | 2020 - announced[7] 2021 - launched[8] | |
Asia | Changhua County, Taiwan | 24.1385°N 120.4257°W | Changhua County | Taiwan (asia-east1)
| 2011 - announced2013 - launched | 60 employees |
North America | Clarksville (TN), USA | | Montgomery County | - | 2015 - announced | |
North America | Columbus (OH), USA | | - | Columbus (us-east5) | 2022 - launched[9] | |
North America | Council Bluffs (IA), USA | | Council Bluffs | | 2007 - announced 2009 - completed first phase completed
2012 and 2015 - expanded
| 130 employees |
North America | Council Bluffs (IA), USA | | | Iowa (us-central1) | | |
Asia | Delhi, India | | - | Delhi (asia-south2) | 2020 - announced2021 - launched[10] | |
Middle East | Doha, Qatar | | - | Doha (me-central1) | 2023 - launched[11] | |
Europe | Dublin, Ireland | 53.3201°N -6.4421°W | Dublin | - | 2011 - announced2012 - launched | 150 employees[12] |
Europe | Eemshaven, Netherlands | | Eemshaven | | 2014 - announced2016 - launched 2018, 2019 - expansion
| 200 employees |
Europe | Frankfurt, Germany | [13] | - | Frankfurt (europe-west3) | 2022 - expanded[14] | |
Europe | Fredericia, Denmark | 55.5582°N 9.6558°W | Fredericia | - | 2018 - announced[15] 2020 - launched | €600M building costs |
Europe | Ghlin, Hainaut, Belgium | 50.4693°N 3.8655°W | Saint-Ghislain | Belgium (europe-west1) | 2007 - announced2010 - launched | 12 employees |
Europe | Hamina, Finland | 60.5366°N 27.117°W | Hamina | Finland (europe-north1)
| 2009 - announced2011 - first phase completed 2022 - expansion
| 6 buildings, 400 employees [16] |
North America | Henderson (NV), USA | | Henderson | Las Vegas (us-west4) | 2019 - announced[17] 2020 - launched
| 64-acres; $1.2B building costs[18] [19] |
Asia | Hong Kong, Hong Kong | | - | Hong Kong (asia-east2) | 2017 - announced[20] 2018 - launched[21] | |
Asia | Inzai, Japan | | Inzai | - | 2023 - launched | |
Asia | Jakarta, Indonesia | | - | Jakarta (asia-southeast2) | 2020 - launched[22] | |
Asia | Koto-Ku, Tokyo, Japan | | - | Tokyo (asia-northeast1)
| 2016 - launched[23] | |
North America | Leesburg (VA), USA | 39.0518°N -77.539°W | Loudoun County | N. Virginia (us-east4) | 2017 - announced | |
North America | Lenoir (NC), USA | 35.8986°N -81.5474°W | Lenoir | - | 2007 - announced 2009 - launched
| over 110 employees |
Asia | Lok Yang Way, Pioneer, Singapore | [24] | Singapore | Singapore (asia-southeast1) | 2022 - launched | |
Europe | London, UK | | - | London (europe-west2)
| 2017 - launched[25] | |
North America | Los Angeles (CA), USA | | - | Los Angeles (us-west2) | | |
Europe | Madrid, Spain | | - | Madrid (europe-southwest1) | 2022 - launched[26] | |
Pacific | Melbourne, Australia | | - | Melbourne (australia-southeast2)
| 2021 - launched[27] | |
Europe | Middenmeer, Noord-Holland, The Netherlands | [28] | Middenmeer | Netherlands (europe-west4) | 2019 - announced[29] | |
North America | Midlothian (TX), USA | | Midlothian | Dallas (us-south1) | 2019 - announced2022 - launched[30] | 375-acres; $600M building costs[31] |
Europe | Milan, Italy | | - | Milan (europe-west8) | 2022 - launched[32] | |
North America | Moncks Corner (SC), USA | | Berkeley County | South Carolina (us-east1) | 2007 - launched 2013 - expanded
| 150 employees |
North America | Montreal, Quebec, Canada[33] | | - | Montréal (northamerica-northeast1) | 2018 - launched[34] | 62.4-hectares; $600M building costs[35] |
Asia | Mumbai, India | | - | Mumbai (asia-south1) | 2017 - launched[36] | |
North America | New Albany (OH), USA | | New Albany | - | 2019 - announced | 400-acres; $600M building costs[37] [38] |
Asia | Osaka, Japan | | - | Osaka (asia-northeast2)
| 2019 - launched[39] | |
South America | Osasco, São Paulo, Brazil | | - | São Paulo (southamerica-east1) | 2017 - launched[40] | |
North America | Papillion (NE), USA | | Papillion | - | 2019 - announced | 275-acres; $600M building costs[41] [42] |
Europe | Paris, France | | - | Paris (europe-west9) | 2022 - launched[43] | |
North America | Pryor Creek (OK), USA | 36.2411°N -95.3301°W | Mayes County | - | 2007 - announced 2012 - expanded
| |
South America | Quilicura, Santiago, Chile | -33.3585°N -70.6973°W | Quilicura | - | 2012 - announced2015 - launched | up to 20 employees expected. A million dollar investment plan to increase capacity at Quilicura was announced in 2018.[45] |
North America | Reno (NV), USA | | Storey County | - | 2017 - 1,210 acres of land bought in the Tahoe Reno Industrial Center[46] 2018 - announced
2018 November - project approved by the state of Nevada[47] [48]
| |
North America | Salt Lake City (UT), USA | | - | Salt Lake City (us-west3) | 2020 - launched[49] | |
Asia | Seoul, South Korea | | - | Seoul (asia-northeast3)
| 2020 - launched[50] | |
Pacific | Sydney, Australia | | - | Sydney (australia-southeast1)
| 2017 - launched[51] | |
Middle East | Tel Aviv, Israel[52] | | - | Tel Aviv (me-west1) | 2022 - launched[53] | |
North America | The Dalles (OR), USA | 45.6325°N -121.2023°W | The Dalles | Oregon (us-west1) | 2006 - launched | 80 full-time employees |
North America | Toronto, Canada | | - | Toronto (northamerica-northeast2) | 2021 - launched[54] | |
Europe | Turin, Italy | | - | Turin (europe-west12) | 2023 - launched[55] | |
South America | Vinhedo, São Paulo, Brazil | | | São Paulo (southamerica-east1) | | |
Europe | Warsaw, Poland | | - | Warsaw (europe-central2) | 2019 - announced2021 - launched[56] | |
Asia | Wenya, Jurong West, Singapore | 1.3513°N 103.7098°W | Singapore | Singapore (asia-southeast1) | 2011 - announced2013 - launched 2015 - expanded
| |
North America | Widows Creek (Bridgeport) (AL), USA | 34.9134°N -85.7481°W[57] | Jackson County | - | 2018 - broke ground | |
Europe | Zürich, Switzerland | [58] | - | Zurich (europe-west6) | 2018 - announced2019 - launched[59] | url=https://www.datacenterknowledge.com/google-alphabet/google-building-cloud-data-centers-close-swiss-banks | title=Google Building Cloud Data Centers Close to Swiss Banks | | |
Europe | Austria | | | | 2022 - announced[60] | |
Europe | Berlin, Germany[61] | | | Berlin (europe-west10) | 2021 - announced[62] 2023 August - launched [63] | |
Middle East | Dammam, Saudi Arabia | | | | 2021 - announced[64] | |
Europe | Athens, Greece | | | | 2022 - announced | |
North America | Kansas City, Missouri | | | | 2019 - announced[65] | |
Middle East | Kuwait | | | | 2023 - announced[66] | |
Asia | Malaysia | | | | 2022 - announced[67] | |
Pacific | Auckland, New Zealand | | | | 2022 - announced | |
Europe | Oslo, Norway | | | | 2022 - announced | |
North America | Querétaro, Mexico | | | | 2022 - announced[68] | |
Africa | Johannesburg, South Africa | | | Johannesburg (africa-south1) | 2022 - announced2024 - launched | |
Europe | Sweden | | | | 2022 - announced | |
Asia | Tainan City, Taiwan | | - | Taiwan (asia-east1)
| 2019 September - announced[69] [70] [71] | |
Asia | Thailand | | | | 2022 - announced | |
Asia | Yunlin County, Taiwan | | - | Taiwan (asia-east1) | 2020 September - announced[72] | |
Europe | Waltham Cross, Hertfordshire, UK | | | | 2024 January - announced[73] | | |
Hardware
Original hardware
The original hardware (circa 1998) that was used by Google when it was located at Stanford University included:[74]
- Sun Microsystems Ultra II with dual 200 MHz processors, and 256 MB of RAM. This was the main machine for the original Backrub system.
- 2 × 300 MHz dual Pentium II servers donated by Intel, they included 512 MB of RAM and 10 × 9 GB hard drives between the two. It was on these that the main search ran.
- F50 IBM RS/6000 donated by IBM, included 4 processors, 512 MB of memory and 8 × 9 GB hard disk drives.
- Two additional boxes included 3 × 9 GB hard drives and 6 x 4 GB hard disk drives respectively (the original storage for Backrub). These were attached to the Sun Ultra II.
- SSD disk expansion box with another 8 × 9 GB hard disk drives donated by IBM.
- Homemade disk box which contained 10 × 9 GB SCSI hard disk drives.
Production hardware
As of 2014, Google has used a heavily customized version of Debian Linux. They migrated from a Red Hat-based system incrementally in 2013.[75]
The customization goal is to purchase CPU generations that offer the best performance per dollar, not absolute performance. How this is measured is unclear, but it is likely to incorporate running costs of the entire server, and CPU power consumption could be a significant factor.[76] Servers as of 2009–2010 consisted of custom-made open-top systems containing two processors (each with several cores), a considerable amount of RAM spread over 8 DIMM slots housing double-height DIMMs, and at least two SATA hard disk drives connected through a non-standard ATX-sized power supply unit. The servers were open top so more servers could fit into a rack. According to CNET and a book by John Hennessy, each server had a novel 12-volt battery to reduce costs and improve power efficiency.[77] [78]
According to Google, their global data center operation electrical power ranges between 500 and 681 megawatts.[79] [80] The combined processing power of these servers might have reached from 20 to 100 petaflops in 2008.[81]
Network topology
Details of the Google worldwide private networks are not publicly available, but Google publications make references to the "Atlas Top 10" report that ranks Google as the third largest ISP behind Level 3.
In order to run such a large network, with direct connections to as many ISPs as possible at the lowest possible cost, Google has a very open peering policy.
From this site, we can see that the Google network can be accessed from 67 public exchange points and 69 different locations across the world. As of May 2012, Google had 882 Gbit/s of public connectivity (not counting private peering agreements that Google has with the largest ISPs). This public network is used to distribute content to Google users as well as to crawl the internet to build its search indexes.The private side of the network is a secret, but a recent disclosure from Google indicate that they use custom built high-radix switch-routers (with a capacity of 128 × 10 Gigabit Ethernet port) for the wide area network. Running no less than two routers per datacenter (for redundancy) we can conclude that the Google network scales in the terabit per second range (with two fully loaded routers the bi-sectional bandwidth amount to 1,280 Gbit/s).
These custom switch-routers are connected to DWDM devices to interconnect data centers and point of presences (PoP) via dark fiber.
From a datacenter view, the network starts at the rack level, where 19-inch racks are custom-made and contain 40 to 80 servers (20 to 40 1U servers on either side, while new servers are 2U rackmount systems.[82] Each rack has an Ethernet switch). Servers are connected via a 1 Gbit/s Ethernet link to the top of rack switch (TOR). TOR switches are then connected to a gigabit cluster switch using multiple gigabit or ten gigabit uplinks.[83] The cluster switches themselves are interconnected and form the datacenter interconnect fabric (most likely using a dragonfly design rather than a classic butterfly or flattened butterfly layout[84]).
From an operation standpoint, when a client computer attempts to connect to Google, several DNS servers resolve www.google.com
into multiple IP addresses via Round Robin policy. Furthermore, this acts as the first level of load balancing and directs the client to different Google clusters. A Google cluster has thousands of servers, and once the client has connected to the server additional load balancing is done to send the queries to the least loaded web server. This makes Google one of the largest and most complex content delivery networks.[85]
Google has numerous data centers scattered around the world. At least 12 significant Google data center installations are located in the United States. The largest known centers are located in The Dalles, Oregon; Atlanta, Georgia; Reston, Virginia; Lenoir, North Carolina; and Moncks Corner, South Carolina.[86] In Europe, the largest known centers are in Eemshaven and Groningen in the Netherlands and Mons, Belgium. Google's Oceania Data Center is located in Sydney, Australia.[87]
Data center network topology
To support fault tolerance, increase the scale of data centers and accommodate low-radix switches, Google has adopted various modified Clos topologies in the past.[88]
Project 02
One of the largest Google data centers is located in the town of The Dalles, Oregon, on the Columbia River, approximately 80 miles (129 km) from Portland. Codenamed "Project 02", the complex was built in 2006 and is approximately the size of two American football fields, with cooling towers four stories high.[89] [90] The site was chosen to take advantage of inexpensive hydroelectric power, and to tap into the region's large surplus of fiber optic cable, a remnant of the dot-com boom. A blueprint of the site appeared in 2008.[91]
Summa papermill
In February 2009, Stora Enso announced that they had sold the Summa paper mill in Hamina, Finland to Google for 40 million Euros.[92] [93] Google invested 200 million euros on the site to build a data center and announced additional 150 million euro investment in 2012.[94] [95] Google chose this location due to the availability and proximity of renewable energy sources.[96]
Floating data centers
See also: Google barges. In 2013, the press revealed the existence of Google's floating data centers along the coasts of the states of California (Treasure Island's Building 3) and Maine. The development project was maintained under tight secrecy. The data centers are 250 feet long, 72 feet wide, 16 feet deep. The patent for an in-ocean data center cooling technology was bought by Google in 2009[97] [98] (along with a wave-powered ship-based data center patent in 2008[99] [100]). Shortly thereafter, Google declared that the two massive and secretly-built infrastructures were merely "interactive learning centers, [...] a space where people can learn about new technology."[101]
Google halted work on the barges in late 2013 and began selling off the barges in 2014.[102] [103]
Software
Most of the software stack that Google uses on their servers was developed in-house.[104] According to a well-known Google employee, C++, Java, Python and (more recently) Go are favored over other programming languages.[105] For example, the back end of Gmail is written in Java and the back end of Google Search is written in C++.[106] Google has acknowledged that Python has played an important role from the beginning, and that it continues to do so as the system grows and evolves.[107]
The software that runs the Google infrastructure includes:[108]
- Google Web Server (GWS) custom Linux-based Web server that Google uses for its online services.
- Storage systems:
- Google File System and its successor, Colossus[109]
- Bigtable structured storage built upon GFS/Colossus
- Spanner planet-scale database, supporting externally-consistent distributed transactions
- Google F1 a distributed, quasi-SQL DBMS based on Spanner, substituting a custom version of MySQL.
- Chubby lock service
- MapReduce and Sawzall programming language
- Indexing/search systems:
- TeraGoogle Google's large search index (launched in early 2006)[110]
- Caffeine (Percolator) continuous indexing system (launched in 2010).
- Hummingbird major search index update, including complex search and voice search.[111]
- Borg declarative process scheduling software
Google has developed several abstractions which it uses for storing most of its data:[112]
- Protocol Buffers "Google's lingua franca for data",[113] a binary serialization format which is widely used within the company.
- SSTable (Sorted Strings Table) a persistent, ordered, immutable map from keys to values, where both keys and values are arbitrary byte strings. It is also used as one of the building blocks of Bigtable.[114]
- RecordIO a sequence of variable sized records.[115] [116]
Software development practices
Most operations are read-only. When an update is required, queries are redirected to other servers, so as to simplify consistency issues. Queries are divided into sub-queries, where those sub-queries may be sent to different ducts in parallel, thus reducing the latency time.
To lessen the effects of unavoidable hardware failure, software is designed to be fault tolerant. Thus, when a system goes down, data is still available on other servers, which increases reliability.
Search infrastructure
Index
Like most search engines, Google indexes documents by building a data structure known as inverted index. Such an index obtains a list of documents by a query word. The index is very large due to the number of documents stored in the servers.
The index is partitioned by document IDs into many pieces called shards. Each shard is replicated onto multiple servers. Initially, the index was being served from hard disk drives, as is done in traditional information retrieval (IR) systems. Google dealt with the increasing query volume by increasing number of replicas of each shard and thus increasing number of servers. Soon they found that they had enough servers to keep a copy of the whole index in main memory (although with low replication or no replication at all), and in early 2001 Google switched to an in-memory index system. This switch "radically changed many design parameters" of their search system, and allowed for a significant increase in throughput and a large decrease in latency of queries.[117]
In June 2010, Google rolled out a next-generation indexing and serving system called "Caffeine" which can continuously crawl and update the search index. Previously, Google updated its search index in batches using a series of MapReduce jobs. The index was separated into several layers, some of which were updated faster than the others, and the main layer wouldn't be updated for as long as two weeks. With Caffeine, the entire index is updated incrementally on a continuous basis. Later Google revealed a distributed data processing system called "Percolator"[118] which is said to be the basis of Caffeine indexing system.[119] [120]
Server types
Google's server infrastructure is divided into several types, each assigned to a different purpose:[121] [122] [123]
- Web servers coordinate the execution of queries sent by users, then format the result into an HTML page. The execution consists of sending queries to index servers, merging the results, computing their rank, retrieving a summary for each hit (using the document server), asking for suggestions from the spelling servers, and finally getting a list of advertisements from the ad server.
- Data-gathering servers are permanently dedicated to spidering the Web. Google's web crawler is known as GoogleBot. They update the index and document databases and apply Google's algorithms to assign ranks to pages.
- Each index server contains a set of index shards. They return a list of document IDs ("docid"), such that documents corresponding to a certain docid contain the query word. These servers need less disk space, but suffer the greatest CPU workload.
- Document servers store documents. Each document is stored on dozens of document servers. When performing a search, a document server returns a summary for the document based on query words. They can also fetch the complete document when asked. These servers need more disk space.
- Ad servers manage advertisements offered by services like AdWords and AdSense.
- Spelling servers make suggestions about the spelling of queries.
Security
In October 2013, The Washington Post reported that the U.S. National Security Agency intercepted communications between Google's data centers, as part of a program named MUSCULAR.[124] [125] This wiretapping was made possible because, at the time, Google did not encrypt data passed inside its own network.[126] This was rectified when Google began encrypting data sent between data centers in 2013.[127]
Environmental impact
Google's most efficient data center runs at using only fresh air cooling, requiring no electrically powered air conditioning.[128]
In December 2016, Google announced that—starting in 2017—it would purchase enough renewable energy to match 100% of the energy usage of its data centers and offices. The commitment will make Google "the world's largest corporate buyer of renewable power, with commitments reaching 2.6 gigawatts (2,600 megawatts) of wind and solar energy".[129] [130] [131]
Further reading
External links
Notes and References
- Web site: How Many Servers Does Google Have? . Data Center Knowledge . March 16, 2017 . September 20, 2018.
- Web site: Google data centers, locations. July 21, 2014.
- Web site: ISO/IEC 27001 - Compliance . 2023-07-11 . Google Cloud . en.
- Web site: Report . Times-Mirror Staff . Google 'caps off' $600M investment in Loudoun County . February 12, 2021 . LoudounTimes.com . June 19, 2019 . en.
- Web site: Google Plans 2 Loudoun Data Centers . 12 April 2023 . LoudounNow.com . November 29, 2017 . en.
- Web site: Arellano (CIPER) . Alberto . 2020-05-25 . Las zonas oscuras de la evaluación ambiental que autorizó "a ciegas" el megaproyecto de Google en Cerrillos . 2023-07-10 . CIPER Chile . es.
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- Web site: 2021-12-01 . Una nueva Región de Google Cloud en Santiago, todo el potencial de la nube ahora más cerca . 2023-07-10 . Google.
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- Web site: New Google Cloud region now open in Qatar . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Dublin, Ireland – Data Centers – Google . April 2, 2019 . www.google.com.
- Web site: PROJEKT IN HANAU: RECHENZENTRUM FÜR GOOGLE ENTWICKELT . NDC-GARBE. September 2, 2021 .
- Web site: Google Cloud investing in Germany with new infrastructure and sustainable energy . 2023-07-10 . Google Cloud Blog . en-US.
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- Web site: Investing in Google infrastructure, investing in Nevada. . 2023-07-10 . Google Cloud Blog . en-US.
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- Web site: Baxtel . Google Henderson NV Data Center . February 12, 2021 . baxtel.com . en.
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- Web site: Google - Singapore . 2023-07-11 . www.streetdirectory.com.
- Web site: Google Cloud Platform now open in London . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: New Google Cloud region in Madrid, Spain now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: The Google Cloud region in Melbourne is now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Welcome . 2023-07-10 . Agriport A7 . nl-NL.
- Web site: June 24, 2019 . Google to Spend $1.1 Billion on New Data Centers in Netherlands . Data Center Knowledge.
- Web site: A Google Cloud region now available in Dallas, Texas . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: June 14, 2019 . Google's massive $600M data center takes shape in Ellis County as tech giant ups Texas presence . February 12, 2021 . Dallas News . en.
- Web site: New Google Cloud region in Milan, Italy now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Project to expand Google's activities in Quebec - Future computer data center in Beauharnois . May 10, 2021 . www.quebec.ca . fr.
- Web site: GCP arrives in Canada with launch of Montréal region . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Google's ongoing commitment in Quebec . February 12, 2021 . Google Blog - Company News . en.
- Web site: Stiver . Dave . November 1, 2017 . GCP arrives in India with launch of Mumbai region . July 30, 2019 . Google Cloud Blog . en.
- Web site: Williams . Mark . Google joins New Albany high-tech crowd with $600 million data center . February 12, 2021 . The Columbus Dispatch . en . December 30, 2020 . https://web.archive.org/web/20201230214959/https://www.dispatch.com/business/20191103/google-joins-new-albany-high-tech-crowd-with-600-million-data-center . dead .
- Web site: New Albany, Ohio – Data Centers – Google . February 12, 2021 . Google Data Centers . en.
- Web site: Google Cloud launches new Osaka region to support growing customer base in Japan . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: GCP arrives in South America with launch of São Paulo region! . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Google confirms it is behind $600m Papillion data center project . February 12, 2021 . www.datacenterdynamics.com . en.
- Web site: Papillion, Nebraska – Data Centers – Google . February 12, 2021 . Google Data Centers . en.
- Web site: Google Cloud region in Paris France now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Dawn-Hiscox . Tanwen . February 20, 2018 . Google to spend m on Pryor data center expansion . live . https://web.archive.org/web/20190423135640/https://www.datacenterdynamics.com/news/google-to-spend-600m-on-pryor-data-center-expansion/ . April 23, 2019 . April 23, 2019 . Data Centre Dynamics.
- Web site: September 28, 2018 . Google ha decido de invertir millones de dólares en su centro de datos en Chile . dead . https://web.archive.org/web/20190330032359/http://newtechmag.net/2018/09/28/google-ha-decidido-invertir-140-millones-de-dolares-en-su-centro-de-datos-de-chile/ . March 30, 2019 . December 8, 2018 . Newtechmag.net . es.
- Web site: Tanwen Dawn-Hiscox . April 18, 2017 . Google is planning a massive data center in Nevada . December 8, 2018 . Datacenterdynamics.com.
- Web site: Jason Hidalgo . November 16, 2018 . Nevada approves Google's M data center near Las Vegas, M in tax incentives . December 8, 2018 . Rgj.com.
- Web site: Jason Hidalgo . September 16, 2020 . Google to invest $600 million in data center near Reno, gets tax break . October 26, 2020 . Reno Gazette Journal . "With our new data center in Storey County and our expanded investment in our Henderson site, Google will have two facilities in Nevada, bringing our total investment to over $1.88 billion.".
- Web site: Google Cloud region in Salt Lake City now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: New GCP Region in Seoul . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Google Cloud expands to Australia with new Sydney region . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Google launches GCP region in Tel Aviv, Israel . datacenterdynamics.com.
- Web site: Google Cloud region in Tel Aviv Israel now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Google Cloud Toronto region now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: New Google Cloud region in Turin, Italy now open . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: September 27, 2019 . Google to Build Cloud Data Centers in Poland . Data Center Knowledge.
- Web site: Google kicks off construction on M Alabama data center . August 19, 2019 . Made in Alabama . April 9, 2018 . en.
- Web site: Die Schweizer Google Cloud Platform zieht zu Green in den Aargau . 2023-07-10 . Swiss IT Magazine . de.
- <
- Web site: Introducing 5 new Google Cloud regions . 2023-07-10 . Google Cloud Blog . en-US.
- News: 2022-09-30 . Google plant ein großes Rechenzentrum südlich des Flughafens BER . de . Der Spiegel . 2023-07-10 . 2195-1349.
- Web site: Google Cloud investing in Germany with new infrastructure and sustainable energy . 2023-07-10 . Google Cloud Blog . en-US.
- Web site: Berlin-Brandenburg Google Cloud region is now open . 2024-02-03 . Google Cloud Blog . en-US.
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