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Introduction

The data in this page is provided for information purposes only. Usage may vary for a same number of users, depending on hardware structure and use habits. Many factors can affect usage: email volume, email size, number of recipients, number of events, event scheduling, etc.

On this page:

Related:

About units

Several BlueMind components use up resources. A standard "per user" calculation cannot be applied because a user who only uses email will not generate the same system load as a user using email and collaborative services (Calendar, etc.) and a smartphone.

As a result, sizing is calculated on a "per unit" basis:

User profile

Units

Email only

1

Email + intense collaborative use

2

Email + collaborative services + smartphone

5

Also, for a same amount of units, a use of email only will not consume the same amount of resources as an email+collaborative use: unlike collaborative tools, email, for example, is more heavily dependent on IO than on CPU.

CPU

CPU is stated in number of cores. Reference values are based on recent Xeon-type CPU.

BlueMind has several services, as a result we recommend a minimum of 2 cores.

Please note that too much CPU can lead to other issues on virtualized environments (https://techan.fr/problemes-de-performance-sur-vmware-du-a-du-cpu-ready.html)

Units

Number of core(s)

1-200

2

200-1000

4

1000-20006
2000-30008
3000-600012

6000+

2 / 1000 units

RAM

Units

RAM

1-25016 GB
250-100024 GB
1000-250032GB
2500-500048GB
5000-10,00064GB*
10,000+96GB*

*With the Cyrus service and bm-elasticsearch on dedicated servers 

Storage / IO Performance

Disks and performance

Email is highly demanding on disks for file reading and writing as well as email processing (indexing, read status, etc.). Disk quality and speed are key to the performance of email services.

IOPS = "Input/Output Operations Per Second"

The email service is a heavy user of IO, as a result storage is sized in IOPS . As for storage space, it depends on client requirements (quotas, etc.)

Minimum disk performance 

The email service being IO hungry, storage is sized in IOPS. The storage space itself directly depends on client requirements (quotas etc.).

Depending on the final usage, all the disks do not require the same performance levels. Below are the minimum IOPS for any installation:

Mount PointDescriptionType

Minimum

IOPS

NFSblock device
/var/lib/postgresqlPostgreSQL database(error)(tick)10,000 iops
/var/spool/cyrus/metaemail metadata(error)(tick)10,000 iops
/var/spool/cyrus/dataemails(error)(tick)6,000 iops
/var/spool/bm-hsmarchived emails (tick)(tick)6,000 iops
/var/spool/bm-elasticsearchsearch index (error)(tick)10,000 iops
/var/spool/bm-mailEAS/mapi Email Service
~2Go
(tick)(tick)6,000 iops
/var/loglogs (tick)(tick)6,000 iops
/var/backups/bluemindsauvegardes(tick)(tick)6,000 iops

For installations with more than 2,000 users, expected iops can be calculated based on the number of users and usage:


Units

IOPS per Unit

1

1


IOPS data for storage devices (wikipedia)


Device  

Type  

IOPS  

Interface  

Notes  

7,200 rpm   SATA drives

HDD

~75-100 IOPS [2]

SATA 3 Gb/s


 

10,000 rpm SATA drives

HDD

~125-150 IOPS [2]  

SATA 3 Gbit/s


 

10,000 rpm SAS drives

HDD

~140 IOPS [2]

SAS


 

15,000 rpm SAS drives

HDD

~175-210 IOPS [2]

SAS



Source: http://en.wikipedia.org/wiki/IOPS

Examples

Core/RAM distribution over several servers (virtual or otherwise) is not described here.

However, for up to 16/24 cores, we believe that a single-platform installation makes sense.

Above this threshold, and to manage populations of tens of thousands of users or more, the architecture must be distributed.

Also, the email part as well as the database (which collaborative use/smartphone places heavy demands on) must be kept separate from the rest.

Users / Units

Node

CPU

#cores

RAM

IOPS / Disk

25 users / 5 with smartphones

45 units (20 + 25)


2

16

13.5 / all disks

150 users / 50 collaborative users of which 25 with smartphones

225 units (100+25*2+25*5)


4

16

67.5

SATA 7,200 minimum

300 users / 100 collaborative users / 30 smartphones

490 units (200 + 70*2 + 30*5)


4

24

147

2 * 10K rpm SAS

1 * 15K rpm SAS

600 users / 200 collaborative users / 50 smartphones

950 units (400 + 150*2 * 50*5) → 4 CPU, 24 GB of RAM

Core

2

20

285

SSD, Bay or other system

Edge24

1,000 users / 250 collaborative users / 100 Psmartphones

1,300 units (750 + 150 * 2 + 100 * 5) → 6 CPU, 32 GB of RAM

Core

2

20

390

SSD, Bay or other system

BM-ES28dedicated ES for more than 1TB of emails and archives
Edge24

2,000 users / 500 collaborative users / 200 smartphones

3,100 units (1500 + 300*2 + 200 * 5) → 12 CPU, 48GB of RAM

Core

6

20

930

Bay (2,000 IOPS)

BM-ES212dedicated ES from 1TB of emails and archives
Cyrus212dedicated Cyrus from 2TB of emails and archives
Edge24

4,000 users / 1000 collaborative users / 300 smartphones

5,900 units (3000 + 700*2 + 300*5) → 12 CPU, 64GB of RAM

Core

6

36

1,770

Bay (2-3,000 IOPS)

BM-ES212dedicated ES from 1TB of emails and archives
Cyrus212dedicated Cyrus from 2TB of emails and archives
Edge24

4,000 users / 1000 collaborative users / 1000 smartphones

8,000 units (3000 + 1000*5) → 16 CPU, 64GB of RAM

Core

6

36

2,400

Bay 3,000 IOPS

SAN / other technology

BM-ES412dedicated ES from 1TB of emails and archives
Cyrus412dedicated Cyrus from 2TB of emails and archives
Edge24

4,000 users / 4,000 collaborative users / 1000 smartphones

1,1000 units (3,000*2 + 1,000*5) → 22 CPU, 96GB of RAM

Core

10

44

3,300

SAN / other technology

BM-ES424dedicated ES from 1TB of emails and archives
Cyrus424

dedicated Cyrus from 2TB of emails and archives

consider 2 cyrus nodes

Edge24

5,000+ users (10,000; 100,000; etc.)

The system must be distributed and the architecture designed on an ad-hoc basis.





Bandwidth

Bandwidth requirements cannot be predicted as they largely depend on mail traffic. Please note that the data on bandwidth usage of the BlueMind calendar and smartphones below clearly shows the preponderance of mail traffic.

BlueMind Calendar bandwidth

For a user with the Calendar application open in their web browser, in http and in bytes (measured on the network with Wireshark):

  • every 30 seconds: one doSync 1067 / 293 (sends local modifications and retrieves changes)
  • every 5 seconds: one ping: 898 / 233, i.e. 5388 / 1398 in 30s (one keepalive)

Client to server: 215 bytes/sec (1,067+5,388)/30

Server to client: 56 bytes/sec (293+1,398)/30

Number of active users

Client to Server

Server to Client

1

215 B/s

56 B/s

100

21 KB/s

6 KB/s

1,000

210 KB/s

60 KB/s

10,000

2.1 MB/s

600 KB/s

With room for maneuvre, for 1,000 Calendars running in web browsers:

  • Client to server: 500KB/s
  • Server to client: 150KB/s

Contacts bandwidth

For a user with the Contacts application running in their browser, in http and in bytes:

144 bytes/second

Specifically:

  • a ping every 5 seconds
  • a "bmc" every 30 seconds

By doubling the value measured to ensure a comfortable safety margin, we calculate a bandwidth of 288 bytes per second for a user who has launched the Contacts application.

Smartphone bandwidth

Microsoft provides the following ActiveSync ratios: 1.04KB/s/user

i.e. for 100 smartphones: 104Kbit, or 13KB/s

By taking a sensible safety margin of x2, we calculate:

  • 100 smartphones == 26KB/s
  • 1,000 smartphones == 260KB/s
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