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Measuring VM performance (CPU, Disk, Latency, Concurrent Users etc) on Ubuntu and comparing Vultr, Digital Ocean and UpCloud – Part 4 of 4

June 5, 2018 by Simon

How can you measure VM performance (CPU, Disk, Latency, Concurrent Users etc) on Ubuntu and comparing Vultr, Digital Ocean and UpCloud – Part 4 of 4

Read Part 1, Part 2, Part 3 or Part 4

I ran the MySQL benchmark preparation command again (no problem this time).

sysbench --test=oltp --oltp-table-size=1000000 --db-driver=mysql --mysql-db=test --mysql-user=root --mysql-password=###################### prepare
sysbench 0.4.12:  multi-threaded system evaluation benchmark

Creating table 'sbtest'...
Creating 1000000 records in table 'sbtest'...

Test table and records created

Test Records Created

Now I can benchmark MySQL on my main server.

sysbench --test=oltp --oltp-table-size=1000000 --db-driver=mysql --mysql-db=test --mysql-user=root --mysql-password=################################# --max-time=60 --oltp-read-only=on --max-requests=0 --num-threads=8 run

RAW Output

sysbench 0.4.12:  multi-threaded system evaluation benchmark

Running the test with following options:
Number of threads: 8

Doing OLTP test.
Running mixed OLTP test
Doing read-only test
Using Special distribution (12 iterations,  1 pct of values are returned in 75 pct cases)
Using "BEGIN" for starting transactions
Using auto_inc on the id column
Threads started!
Time limit exceeded, exiting...
(last message repeated 7 times)
Done.

OLTP test statistics:
    queries performed:
        read:                            336210
        write:                           0
        other:                           48030
        total:                           384240
    transactions:                        24015  (400.09 per sec.)
    deadlocks:                           0      (0.00 per sec.)
    read/write requests:                 336210 (5601.24 per sec.)
    other operations:                    48030  (800.18 per sec.)

Test execution summary:
    total time:                          60.0242s
    total number of events:              24015
    total time taken by event execution: 480.0242
    per-request statistics:
         min:                                  1.79ms
         avg:                                 19.99ms
         max:                                141.00ms
         approx.  95 percentile:              37.49ms

Threads fairness:
    events (avg/stddev):           3001.8750/27.36
    execution time (avg/stddev):   60.0030/0.01

Results

queries performed (in 60 seconds):

  • read: 336210
  • other: 48030
  • total: 384240

I decided to add an index to see if I can speed this query up (read the MySQL index page here). I added an index (in Adminer) on the columns “Id” and “pad” for the sbtest table in the test database

I restarted the MySQL process

mysql restart
[ ok ] Restarting mysql (via systemctl): mysql.service.

I ran the same benchmark again.

Raw Output

sysbench --test=oltp --oltp-table-size=1000000 --db-driver=mysql --mysql-db=test --mysql-user=root --mysql-password=########################## --max-time=60 --oltp-read-only=on --max-requests=0 --num-threads=8 run
sysbench 0.4.12:  multi-threaded system evaluation benchmark

Running the test with following options:
Number of threads: 8

Doing OLTP test.
Running mixed OLTP test
Doing read-only test
Using Special distribution (12 iterations,  1 pct of values are returned in 75 pct cases)
Using "BEGIN" for starting transactions
Using auto_inc on the id column
Threads started!
Time limit exceeded, exiting...
(last message repeated 7 times)
Done.

OLTP test statistics:
    queries performed:
        read:                            426538
        write:                           0
        other:                           60934
        total:                           487472
    transactions:                        30467  (507.69 per sec.)
    deadlocks:                           0      (0.00 per sec.)
    read/write requests:                 426538 (7107.67 per sec.)
    other operations:                    60934  (1015.38 per sec.)

Test execution summary:
    total time:                          60.0110s
    total number of events:              30467
    total time taken by event execution: 479.9124
    per-request statistics:
         min:                                  5.75ms
         avg:                                 15.75ms
         max:                                138.57ms
         approx.  95 percentile:              25.10ms

Threads fairness:
    events (avg/stddev):           3808.3750/8.70
    execution time (avg/stddev):   59.9891/0.00

Results

The quick index added 20% extra throughput on queries 🙂

Mysql before and after an index

Don’t forget to delete your test database

DROP DATABASE `test`;

Viewing MySQL Index Usage (on the “test” database)

Query to show Index stats for a table ‘test’

SELECT
 OBJECT_SCHEMA as 'Database', OBJECT_NAME as 'Table', 
 INDEX_NAME as 'Index', 
 COUNT_STAR, 
 SUM_TIMER_WAIT,  MIN_TIMER_WAIT, AVG_TIMER_WAIT, MAX_TIMER_WAIT, 
 COUNT_READ, 
 SUM_TIMER_READ, MIN_TIMER_READ, AVG_TIMER_READ, MAX_TIMER_READ,  
 COUNT_FETCH, SUM_TIMER_FETCH, MIN_TIMER_FETCH, AVG_TIMER_FETCH, MAX_TIMER_FETCH
FROM 
 performance_schema.table_io_waits_summary_by_index_usage
WHERE 
 object_schema = 'test'

I can see the MySQL PRIMARY index is getting used 🙂

Index Summary

Read more in viewable query stats (columns) here.

Other System Information Tools

Show processor information

cat /proc/cpuinfo

Output

processor       : 0
vendor_id       : GenuineIntel
cpu family      : 6
model           : 61
model name      : Virtual CPU a7769a6388d5
stepping        : 2
microcode       : 0x1
cpu MHz         : 2394.454
cache size      : 16384 KB
physical id     : 0
siblings        : 1
core id         : 0
cpu cores       : 1
apicid          : 0
initial apicid  : 0
fpu             : yes
fpu_exception   : yes
cpuid level     : 13
wp              : yes
flags           : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 syscall nx rdtscp lm constant_tsc rep_good nopl xtopology eagerfpu pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm invpcid_single kaiser fsgsbase bmi1 avx2 smep bmi2 erms invpcid xsaveopt arat
bugs            : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass
bogomips        : 4788.90
clflush size    : 64
cache_alignment : 64
address sizes   : 40 bits physical, 48 bits virtual
power management:

Memory Information

You can assign 512MB, 1GB, 2GB or more memory to a server on Vultr, Read my guide here on upgrading resources for Vultr VM’s here.

Only upgrade your server’s memory when server processes demand it, there is no need to pay for extra idle memory. Read my older guides on upgrading Digital Ocean and AWS servers.

I use the htop utility to monitor memory and processes. The memory usage will depend on how you have configured your server to use connection pools in code, MySQL or services.  Also what memory demands do you get in pean bandwidth times?

HTOP

You can check your server memory details on Ubuntu with this command

cat /proc/meminfo

Output

MemTotal:        2048104 kB
MemFree:           96176 kB
MemAvailable:     693072 kB
Buffers:          183476 kB
Cached:           526124 kB
SwapCached:            0 kB
Active:          1467220 kB
Inactive:         243228 kB
Active(anon):    1070464 kB
Inactive(anon):    27004 kB
Active(file):     396756 kB
Inactive(file):   216224 kB
Unevictable:        3652 kB
Mlocked:            3652 kB
SwapTotal:             0 kB
SwapFree:              0 kB
Dirty:                64 kB
Writeback:             0 kB
AnonPages:       1004504 kB
Mapped:           114664 kB
Shmem:             94192 kB
Slab:             192692 kB
SReclaimable:     171892 kB
SUnreclaim:        20800 kB
KernelStack:        3072 kB
PageTables:        20528 kB
NFS_Unstable:          0 kB
Bounce:                0 kB
WritebackTmp:          0 kB
CommitLimit:     1024052 kB
Committed_AS:    2424332 kB
VmallocTotal:   34359738367 kB
VmallocUsed:           0 kB
VmallocChunk:          0 kB
HardwareCorrupted:     0 kB
AnonHugePages:    247808 kB
CmaTotal:              0 kB
CmaFree:               0 kB
HugePages_Total:       0
HugePages_Free:        0
HugePages_Rsvd:        0
HugePages_Surp:        0
Hugepagesize:       2048 kB
DirectMap4k:       67440 kB
DirectMap2M:     2029568 kB

Use Memory or Disk (Swap)

You can configure the use of Memory over Disk by configuring your/etc/sysctl.conf file (setting value “vm.swappiness”)

You can check your swap file settings by running the following command

cat /proc/sys/vm/swappiness
1

Or By running

sysctl vm.swappiness
vm.swappiness = 1

Set a new swap file value by editing /etc/sysctl.conf

sudo nano /etc/sysctl.conf

Set the following to use more ram over the swap disk.

vm.swappiness = 1

Read about swappiness values here: https://en.wikipedia.org/wiki/Swappiness

Service Performance

Performance (and allocated resources) depends on the demands of your operating system and installed software

What operating system do you have?

lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 16.04.4 LTS
Release:        16.04
Codename:       xenial

View NGINX Status, how much memory does it use?

/etc/init.d/nginx status
● nginx.service - A high performance web server and a reverse proxy server
   Loaded: loaded (/lib/systemd/system/nginx.service; enabled; vendor preset: enabled)
   Active: active (running) since Fri 2018-05-25 21:28:25 AEST; 1 weeks 3 days ago
     Docs: man:nginx(8)
 Main PID: #### (nginx)
    Tasks: 3
   Memory: 58.9M
      CPU: 33min 11.515s
   CGroup: /system.slice/nginx.service
           ├─#### nginx: master process /usr/sbin/nginx -g daemon on; master_process on;
           ├─#### nginx: worker process
           └─#### nginx: cache manager process

PHP (and Child Worker) status how much memory does it use and how many child workers do you have? Read my add PHP child workers post here (and update to PHP 7.2 here)

sudo service php7.2-fpm status
● php7.2-fpm.service - The PHP 7.2 FastCGI Process Manager
   Loaded: loaded (/lib/systemd/system/php7.2-fpm.service; enabled; vendor preset: enabled)
   Active: active (running) since Fri 2018-05-25 21:28:26 AEST; 1 weeks 3 days ago
     Docs: man:php-fpm7.2(8)
 Main PID: #### (php-fpm7.2)
   Status: "Processes active: 0, idle: 20, Requests: 75911, slow: 0, Traffic: 0.1req/sec"
    Tasks: 21
   Memory: 694.2M
      CPU: 20h 49min 45.132s
   CGroup: /system.slice/php7.2-fpm.service
           ├─ #### php-fpm: master process (/etc/php/7.2/fpm/php-fpm.conf)
           ├─ #### php-fpm: pool www-acc
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-acc
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           ├─ #### php-fpm: pool www-usr
           └─ #### php-fpm: pool www-usr

MySQL Status

sudo service mysql status
● mysql.service - MySQL Community Server
   Loaded: loaded (/lib/systemd/system/mysql.service; enabled; vendor preset: enabled)
   Active: active (running) since Fri 2018-05-25 21:28:27 AEST; 1 weeks 3 days ago
 Main PID: ##### (mysqld)
    Tasks: 35
   Memory: 405.9M
      CPU: 2h 17min 31.822s
   CGroup: /system.slice/mysql.service
           └─#### /usr/sbin/mysqld

Shared VM Hosts

One of the biggest impacts (after server latency) for your server is not the disk performance but the number of hosts/websites on the server who are also using the disk and server resources.

Reverse IP Lookup

I have 80 other web servers on my server (based on a reverse lookup).

I may move to a dedicated box when I can afford it.

Security

Above all else ensure that security is number 1 priority and make performance second priority.

Scan your site with Zap, Qualys and Kali Linux. Performance means nothing if you are hacked.

website-report

Simulated concurrent users

You can use Siege to test the maximum concurrent users accessing your site before the server starts to drop connections.

FYI: If you use Cloudflare (you should) this may not work as it will block connections.

Install Siege

sudo apt-get install siege

Test  your server with 10 concurrent serves for 1 minute

siege -t1m c10 'https://yourserver.com/'

Results

siege -t1m c10 'https://yourserver.com/'
** SIEGE 3.0.8
** Preparing 15 concurrent users for battle.
The server is now under siege...
Lifting the server siege...      done.

Transactions:                    417 hits
Availability:                 100.00 %
Elapsed time:                  59.01 secs
Data transferred:               8.24 MB
Response time:                  1.62 secs
Transaction rate:               7.07 trans/sec
Throughput:                     0.14 MB/sec
Concurrency:                   11.46
Successful transactions:         417
Failed transactions:               0
Longest transaction:            2.26
Shortest transaction:           1.49

Keep upping the connections (from 10 above) to a limit where connections start dropping.

I tried 25 then 50 concurrent users hitting a server on Digital Ocean and it did not fail.

Conclusion

  • Choose a server near your customers
  • Change hosts if one is faster and cheaper
  • Measure or benchmark your server (and compare over time).
  • Use Cloudflare

Create your own server today

  • Create your own server on Vultr here.
  • Create your own server on Digital Ocean here.
  • Create your own server on UpCloud here.

And remember you can install the Runcloud server management dashboard here.

I hope this guide helps someone.

< Previous

Read Part 1, Part 2, Part 3 or Part 4

Filed Under: Cloud, Digital Ocean, disk, Domain, Linux, NGINX, Performance, PHP, php72, Scalability, Scalable, Speed, Storage, Ubuntu, UpCloud, Vultr, Wordpress Tagged With: and, can, comparing, Concurrent Users etc, cpu, digital ocean, Disk, How, Latency, measure, on, Performance, ubuntu, UpCloud - Part 4 of 4, vm, vultr, you

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