performance Archives » 100% Best Unlimited Private Proxies: Fast, Cheap and Secure

[EzzyTech] Dedicated Performance Server ✅ Multiple Data Center ✅ Fully Configurable ProtectionDDoS Protection | Proxies123.com

EzzyTech networks aims to provide customers with an affordable but reliable and fast price dedicated web hosting plans. Our servers are located in the United States. We have 99.9% SLA uptime. Combine that with our super fast and friendly 24/7 support and it will not take long to smile!

Data center locations:
New york city | Miami, FL | Los Angeles California

All of our Dedicated Server hosting packages include the following fantastic features:

Support Solid support 24/7 (the average response time is less than 30 minutes and we do not subcontract) and live chat
✅ High performance and perpetual safety
✅ 99.99% availability guarantee
✅ High configuration flexibility and much more!

Best value dedicated server package:

Intel Core i5 4570
CPU 4 x 3.20 GHz
8GB of DDR3 RAM
250 GB hard drive storage
Premium bandwidth of 10TB
Scalable IP addresses
Highly configurable
Not managed (fully manageable)

Price: 69.99 / month
More information | Order now!

Intel Xeon E3 1245 V2
CPU 4 x 3.40 GHz
16 GB of DDR3 RAM
500 GB hard drive storage
Premium bandwidth of 10TB
Scalable IP addresses
Highly configurable
Not managed (fully manageable)

Price: 89.99 / month
More information | Order now!

Intel Xeon E3 1240 V5
CPU 4 x 3.50 GHz
16GB DDR4 ECC RAM
1TB HDD storage
Premium bandwidth of 10TB
Scalable IP addresses
Highly configurable
Not managed (fully manageable)

Price: 89.99 / month
More information | Order now!

Intel Xeon E3 1240 V6
CPU 4 x 3.70 GHz
16GB DDR4 ECC RAM
1TB HDD storage
Premium bandwidth of 10TB
Scalable IP addresses
Highly configurable
Not managed (fully manageable)

Price: 109.99 / month
More information | Order now!

Intel Xeon E3 1270 V3
CPU 4 x 3.50 GHz
32GB DDR3 ECC RAM
512 GB of SSD storage
Premium bandwidth of 10TB
Scalable IP addresses
Highly configurable
Not managed (fully manageable)

Price: 119.99 / month
More information | Order now!

Frequent questions:

Ques: How long will it take you to deliver the server?
Answer We have 48 hours to deliver. But normally they deliver within 24 hours.

Ques: How many dedicated IPs will I get with the server?
Answer Each of our dedicated servers includes 1 IP address and can request up to 5 IP addresses with the server
(No justification is required). But the purchase of more than 5 IP may require the justification of ARIN.

Ques: Do you have a money back guarantee?
Answer No. For the dedicated server, we do not offer any money back guarantee.

Ques: Does it provide full access to the root.
Answer If we do.

Ques: Does it provide protection against DDoS?
Answer Yes. Each server contains 20 Gbps DDoS Protection. You can climb it

Ques: Do you provide a fully managed service?
Answer Yes. You can choose the fully managed service during configuration. You must select cPanel Control Panel in this regard.

Ques: Do you allow KVM access?
Answer If we do.

Ques: Does it provide customized configuration according to my needs?
Answer Obviously, in addition, you can make a server activate according to your personal requirements.
You can contact our support team by email / ticket, phone or live chat with your requirements
and we will inform you if we have your preferences or configurations available.

If you need more information or help, do not hesitate to send us an email to sales[at]ezzytech.com

Website: https://www.ezzytech.com
Email: sales[at]ezzytech.com
Telephone number: +8801711985664

Performance: simple update of mysql with 40 million and 128 GB of RAM that takes too long

We are having problems with simple updates in a single table that take a long time. The table contains ~ 40 million rows.

and the job runs every day that truncates the table and inserts new data from other sources in that table.

Here is the table:

CREATE TABLE temp (
NO int (4) NOT NULL AUTO_INCREMENT,
DATE1 date DEFAULT NULL,
CODE int (4) DEFAULT NULL,
TYPE varchar (20) DEFAULT NULL,
SCODE int (4) DEFAULT NULL,
Nature varchar (25) DEFAULT NULL,
UNITS decimals (19,4) DEFAULT NULL,
BNITS decimal (19,4) DEFAULT NULL,
DRECD double DEFAULT & # 39; 0 & # 39 ;,
FNO varchar (50) DEFAULT NULL,
FLAG varchar (5) DEFAULT NULL,
MBAL double DEFAULT NULL,
PBAL double DEFAULT NULL,
MTotalBal double DEFAULT NULL,
PLNOT decimal (19,4) DEFAULT NULL,
Decimal PLBOOK (19,4) DEFAULT NULL,
AGE int (4) DEFAULT NULL,
RETABS decimal (19,4) DEFAULT NULL,
DELAY decimal (19,4) DEFAULT NULL,
INDEX1 decimal (19,4) DEFAULT NULL,
RETINDEXABS decimal (19,4) DEFAULT NULL,
RetIndexCAGR decimal (19,4) DEFAULT NULL,
CURRAMT decimal (19,4) DEFAULT NULL,
GLOSSLT decimal (19,4) DEFAULT NULL,
GLOSSST decimal (19,4) DEFAULT NULL,
UNITSFORDIVID decimal (19,4) DEFAULT NULL,
double factor DEFAULT NULL,
LNav double DEFAULT & # 39; 10 & # 39 ;,
Date2 date DEFAULT NULL,
IType int (4) DEFAULT NULL,
Double rate DEFAULT NULL,
CurrAmt double DEFAULT NULL,
IndexVal double DEFAULT NULL,
LatestIndexVal double DEFAULT NULL,
Field int (4) DEFAULT NULL,
C_Code int (4) DEFAULT NULL,
B_Code int (4) DEFAULT NULL,
Rm_Code int (4) DEFAULT NULL,
Group_name varchar (100) DEFAULT NULL,
Type 1 varchar (20) DEFAULT NULL,
Type2 varchar (20) DEFAULT NULL,
IsOnline tinyint (3) unsigned DEFAULT NULL,
SFactor double DEFAULT NULL,
OS_Code int (4) DEFAULT NULL,
PRIMARY KEY (NO)
SCODE KEY (SCODE),
KEY C_Code (C_Code),
TYPE OF KEY (TYPE),
KEY OS_Code (OS_Code),
KEY LNav (LNav),
KEY IDX_1 (AGE, Type 2),
KEY DATE1 (DATE1)
) MOTOR = InnoDB DEFAULT CHARSET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci

note: the reason for having so many indexes is that we have many selections in the future that will decrease the explorations of the table.

UPDATE Temp
INNER JOIN SchDate ON Temp.Sch_Code = SchDate.Sch_Code
SET LatestNav = NavRs, NavDate = LDate;
- The SchDate table contains 41K record

UPDATE Temp
SET Age = DATEDIFF (NAVDATE, TR_DATE),
CurrAmt = (LatestNav * Units),
PL_Notional = (UNITS * (LatestNav - Rate)),
Divd_Recd = 0;
Here is my.cnf for reference

[client]
port = 3307
max_execution_time = 0
local_infile = 1

[mysql]
no beep

[mysqld]

port = 3307
# jump blocking
# skip-name-resolution
default_authentication_plugin = mysql_native_password
wait_timeout = 300
interactive_timeout = 300
default-storage-engine = INNODB
sql-mode = "NO_ENGINE_SUBSTITUTION, ANSI_QUOTES"
max_execution_time = 0
innodb_autoinc_lock_mode = 0
group_concat_max_len = 153600
skip-log-bin
log_bin_trust_function_creators = 1
#expire_logs_days = 3
local_infile = 1
skip-log-bin


### Parameters related to cache / buffer ###
table_open_cache = 1024000
open_files_limit = 2048000
key_buffer_size = 2147483648

# myisam_max_sort_file_size = 1G
# myisam_sort_buffer_size = 512M
# myisam_repair_threads = 1



# General and slow registration.
log-output = ARCHIVE
# general-log = 0
# general_log_file = "E:  Mysql  MySQL Server 8.0  Data  2016SERVER.log"
# slow-query-log = 1
# slow_query_log_file = "E:  Mysql  MySQL Server 8.0  Data  2016SERVER-slow.log"
long_query_time = 100


# Specific values of the thread
sort_buffer_size = 2147483648
read_buffer_size = 2147483648
read_rnd_buffer_size = 1073741824
join_buffer_size = 1073741824
thread_cache_size = 600
bulk_insert_buffer_size = 4294967296

### Mysql Directory & Tables ###
datadir = "E:  Mysql  Data  Data "
tmp_table_size = 17179869184

max_heap_table_size = 8589934592



### Parameters related to Innodb ###
# innodb_force_recovery = 3

## Innodb start-stop related parameter
innodb_max_dirty_pages_pct = 0
innodb_buffer_pool_dump_pct = 100
innodb_buffer_pool_dump_at_shutdown = 1
innodb_buffer_pool_load_at_startup = 1

innodb_change_buffer_max_size = 50
innodb_file_per_table = 1
innodb_log_file_size = 10G
innodb_log_buffer_size = 4294967295
innodb_log_files_in_group = 10
#innodb_buffer_pool_chunk_size = 1024M
innodb_buffer_pool_size = 96636764160
### innodb_buffer_pool_size = 90G
innodb_buffer_pool_instances = 50
# innodb_flush_method = O_DIRECT
innodb_flush_log_at_trx_commit = 1
innodb_lock_wait_timeout = 100
innodb_write_io_threads = 64
innodb_read_io_threads = 64

# Binary Logging.
# log-bin = "E:  Mysql  Data  Data  2016SERVER-bin"

# Registration error.
log-error = "E:  Mysql  Data  Data  2016SERVER.err"

# Id. From the server.
Server ID = 2

lower_case_table_names = 1

# Secure File Priv.
secure-file-priv = "E:  Mysql  Uploads"
max_connections = 500
# innodb_thread_concurrency = 9

innodb_thread_concurrency = 0
innodb_adaptive_max_sleep_delay = 150000
innodb_autoextend_increment = 2048
# innodb_concurrency_tickets = 5000
# innodb_old_blocks_time = 1000
innodb_open_files = 1500
innodb_stats_on_metadata = 0
innodb_checksum_algorithm = 0
# back_log = 80
# flush_time = 0
max_allowed_packet = 512M
table_definition_cache = 1400
binlog_row_event_max_size = 8K
# sync_master_info = 10000
# sync_relay_log = 10000
# sync_relay_log_info = 10000
loose_mysqlx_port = 33060

innodb_flush_method = without buffer
### innodb_flush_method = async_unbuffered
default-time-zone = +05: 30
tmpdir = "C: / TEMP"
innodb_io_capacity = 1000
plugin_dir = "C: / Program Files / MySQL / MySQL Server 8 / lib / plugin"
innodb_log_write_ahead_size = 16394
mysqlx_max_connections = 500
innodb_random_read_ahead = 1

the first update takes 30 to 35 minutes and the second update takes 15 minutes.

Here is the explanatory plan for update 1.

1 SIMPLE SchDate index PRIMARY, Sch_Code, IDX_1 Sch_Code 4 39064 100 Use of index
1 SIMPLE temp ref. SCH_Code SCH_Code 9 SchDate.Sch_Code 1 100 Using the index condition

I am running this query in Windows 10. Is there any way to increase the speed of the UPDATE query? Any changes related to the configuration would be useful?

performance – Kattis Ants Challenge

I'm trying to learn Haskell by doing some quiz problems. I have worked a bit with the language but I still have a long way to go.

At this moment I am working with a problem called ants:

An army of ants walks on a horizontal pole in length. l cm, each with a constant speed of 1 cm / s. When a walking ant reaches one end of the stick, it immediately falls. When two ants meet, they turn around and start walking in opposite directions. We know the original positions of the ants on the stick, unfortunately, we do not know the directions in which the ants are walking. Your task is to calculate the earliest possible times for all the ants to fall off the pole.

Entry

The first line of entry contains an integer that gives the number of cases that follow, at most 100. The data for each case starts with two whole numbers: the length l of the pole (in cm) and north, the number of ants that reside at the pole. These two numbers are followed by north the integers give the position of each ant at the pole as the distance measured from the left end of the pole, in no particular order. All input integers are between 0 and 1000000 and are separated by blanks.

Exit

For each entry case, send two numbers separated by a single space. The first number is the earliest possible time when all the ants fall off the pole (if the directions of their walks are properly chosen) and the second number is the last possible time.

Entry sign
two
10 3
2 6 7
214 7
11 12 7 13
176 23 191

It is quite simple, some analysis and minor calculations. My program finished running in 0.69 seconds, while the best result someone achieved with Haskell is something like 0.03! Is very annoying.

I tried to accelerate it with an even uglier code, but the best I've achieved with this is 0.66 seconds.

Can someone detect some obvious things about this code to improve runtime?

main = do
content <- getContents
    let cases = parse contents

    mapM_ putStrLn (map showcase cases)

type Case = (Int, [Int])

showcase :: Case -> Rope
showcase (len, positions) =
leave ds = dists len positions
edgiest = (snd. maximum) ds
es = max (len - edgiest) edgiest

medium = (minimum snd.) ds
mm = min (len - midmost) midmost
in show mm ++ "" ++ show is


dists :: Int -> [Int] -> [(Float, Int)]
dists l = map ( x -> (abs (fromIntegral x - m), x))
where m = fromIntegral l / 2.0

parse :: String -> [Case]
parse = parseCases. tail words - omit the first whole

parseCases :: [String] -> [Case]
parseCases [] = []
parseCases xs =
let (cs, rest) = parseCase xs
in cs: parseCases rest

parseCase :: [String] -> (Case, [String])
parseCase (len: a: xs) =
let the ants = read a
positions = (reading the map, take ants) xs
rest = drop ants xs
in ((read len, positions), rest)

Performance – Python Plot shows live SQL data on Tkinter Canvas

I have written a code where I have a simple graphical user interface with a Tkinter canvas. In this canvas I draw a Matplot. The Matplot is updated every second with false sensor data that I simulate in an SQLite database (only for tests at this time).

I achieved most of my goals for this test case. But some things that I would like to have reviewed:

The performance does not seem to be really good. The window is delayed if you drag it over the desk. I think this is caused by the redrawing of the canvas. I tried using threads but I could not interrupt my mainloop when updating the canvas.
My Code seems quite messy (I'm a beginner and I'm just learning to code with good style). All the criticisms and ideas to do it better are welcome.

So here is my code so far:

from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
of matplotlib.figure import figure
import tkinter as tk
import numpy as np
import matplotlib.pyplot as plt
Import matplotlib.animation as animation.
import sqlite3
from datetime import datetime
of random import randint

MainApplication class (tk.Frame):
def __init __ (self, parent, * args, ** kwargs):
tk.Frame .__ init __ (self, parent, * args, ** kwargs)
self.parent = father

root.update_idletasks ()

f = Figure (figsize = (15,5), dpi = 55)
x = 1
ax = f.add_subplot (111)
line, = ax.plot (x, np.sin (x))

To encourage (i):
# Open database
conn = sqlite3.connect (& # 39; Sensor_Data.db & # 39;)
c = conn.cursor ()
# Create some false sensor data
NowIs = datetime.now ()
Temperature = randint (0, 100)
Humidity = randint (0, 100)
# Add data to the database
c = conn.cursor ()
# Insert a row of data
c.execute ("insert in the values of Sensor_Stream_1 (Date, Temperature, Humidity) (?,?,?)",
(Now it is, temperature, humidity)
# Save (confirm) the changes
conn.commit ()
# Select data from the database
c.execute ("SELECT the temperature FROM Sensor_Stream_1 LIMIT 30 DISPLACEMENT (SELECT ACCOUNT (*) FROM Sensor_Stream_1) -30")
# Gives a list of all temperature values
x = 1
Temperatures = []

            To record in c.fetchall ():
Temperatures.append (str (x) + & # 39;, & # 39; + str (record[0]))
x + = 1
# Setting the graph with the values of X and Y
xList = []
            yList = []

            For each line in temperatures:
if len (eachLine)> 1:
x, y = eachLine.split (& # 39;, & # 39;)
xList.append (int (x))
yList.append (int (y))

ax.clear ()

ax.plot (xList, yList)

ax.set_ylim (0,100)
ax.set_xlim (1.30)

ax.tick_params (axis = & # 39; both & # 39 ;, what = & # 39; major & # 39 ;, labelsize = 12)

ax.grid (b = None, which = & # 39; major & # 39 ;, axis = & # 39; both & # 39 ;, ** kwargs)


label = tk.Label (root, text = "Temperature / Humidity"). pack (side = "top", fill = "both", expand = True)

canvas = FigureCanvasTkAgg (f, master = root)
canvas.get_tk_widget (). pack (side = "left", fill = "both", expand = True)

root.ani = animation.FuncAnimation (f, animate, range = 1000)

yes __name__ == "__main__":
root = tk.Tk ()
MainApplication (root) .pack (side = "top", fill = "both", expand = True)
root.mainloop ()

performance setting – Parallele Computing – processor speed 2 vs 4

Without knowing the exact function (I suppose it is something quite long, possibly with integrals or differential equations), I can only make the following suggestions:

It seems that you are using exact numbers. If this is necessary for your application, then probably there is not much you can do, but exact numbers generally slow things down substantially. If you can, use Real numbers (just place a period after the numbers as {phi, 0., Pi / 4., Pi / 56.}. If you need more precision than that but do not necessarily require the infinite precision of the exact numbers, you can also do this: {phi, 0 & # 39; 50, Pi / 4 & # 39; 50, Pi / 56 & # 39; Where the apostrophes are really serious accents. This will give you 50 digits of precision to work with, which will make your final answer come close to the exact answer.

The other thing I would try is:

XX1 = Parallel table[{XXXX[phi, theta, si]], phi, theta, if}, {phi, 0, Pi / 4, Pi / 56}, {theta, 0, ArcCot[Cos[phi]], ArcCot[Cos[phi]]/ 14}, {yes, 0 Pi, 0 Pi, 0}]

I think that Parallel table It's a better way to handle this than ParallelEvaluate. In a test function, I see an acceleration of 100x. ParallelEvaluate it is simply to evaluate exactly the same function 4 times in each data point instead of dividing the task into several threads.

If you can, combine both for the best acceleration.

I hope this helps a bit! There are some people here who are amazing in optimization, maybe they can improve the speed even more. If possible, I would recommend publishing your XXXX It works unless it's incredibly long.

ASIA Cloud Server ★ Reliable + High performance ~ Limited time offer ~ 50% discount

Greetings from ModernOne!!!

Why choose us?

– Server in the cloud located in the AIMS KL data center.
– Quality service and affordable prices.
– Friendly staff 24×7.
– Free reverse DNS
– Fast support through support ticket
– Free migration – We will help you to migrate your website for FREE
– We offer BGB services: we help you announce your IP space
– We offer discount for orders from multiple servers.

ModernOne A dedicated server provider is pleased to announce our latest special offers.

Please find our latest offers as below.

*** All packages can be updated / reduced or redesigned according to your requirements. ***

Apply the promotional code to enjoy a 50% discount.

PROMOTIONAL CODE: NUBE-50

NUBE-4E

* 4 CPU Core
* 8GB memory
* 200 GB of storage
* 10 Mbps of bandwidth
* Data transfer without measuring
* 2 dedicated IP address
Free configuration

Normal price: $ 70/ month
Discounted price: $ 35/ month (PROMO CODE: NUBE-50)
Order now

NUBE-8E

* 8 CPU Core
* 16GB memory
* 300 GB of storage
* 10 Mbps of bandwidth
* Data transfer without measuring
* 2 dedicated IP address
Free configuration

Normal price: $ 120/ month
Discounted price: $ 60/ month (PROMO CODE: NUBE-50)
Order now

Contact Us

If you do not see what you need here or on our website, do not hesitate to contact a personalized plan.
Please send us a Ticket or send us an email to sales [@]nocser.net

For a complete list of our plans, visit us at www.nocser.net.

Performance – Solving a DMOJ problem known as slot machines in Python 3

Good day. I've written a code that simulates slot machines, but here I'm looking to optimize it or, more importantly, make it work in 2 seconds or less.

Here is my code:

money = int (entry ())
m1 = int (entry ())
m2 = int (entry ())
m3 = int (entry ())
tour = 0

while (money! = 0):
# machine 1
money - = 1
m1 + = 1
yes (m1 == 35):
money + = 30
m1 = 0
rotate + = 1

# machine 2
money - = 1
m2 + = 1
yes (m2 == 100):
money + = 60
m2 = 0
rotate + = 1

# machine 3
money - = 1
m3 + = 1
yes (m3 == 10):
money + = 9
m3 = 0
rotate + = 1

print (& # 39; Martha plays {} times before going bankrupt. & # 39;. format (turns))

For anyone who is wondering, I am doing this for the problem https://dmoj.ca/problem/ccc00j3 of DMOJ.

[WTS] Well balanced DEDICATED SERVERS + 35% discount for 3 months | Excellent time of activity + free configuration!

You are interested Dedicated high-end server hosting services?

CentoHost has been one of the main providers of web hosting services since 2002. We use the latest Dell server technology in our own data center to ensure our customers get the best performance from their websites. Our wide selection of web hosting services will adapt to your hosting needs, whether you are creating a small and simple website, or a high-powered, high-traffic website. Our main objective is to provide the best available technology with exceptional customer service. With a large customer base comes a wide range of web hosting requirements. We have adapted our company to these needs by providing flexible and scalable services.

SPECIAL OFFER: First 3 MONTHS – 35% DISCOUNT

Our dedicated servers are located in Own data center in Europe – Bosnia and Herzegovina. You will get access to the serial console with performance servers. You can also install and customize applications.

Our characteristics:

Unmetered bandwidth
Free DDoS protection
Ready for IPv6
Free configuration
Free hardware RAID
Quick configuration
Dell PowerEdge Servers
DDR3 ECC RAM
Guaranteed resource
Monitoring of the server
Remote reboot
Simple and dual CPUs

Take a look at Centohost Dedicated entry-level servers:
Start with a dedicated server within your budget –Bandwidth without meter + Free DDoS protection + Ready for IPv6 + Free configuration)

Server Package PE-R320
Six Core Xeon E5-2420v2
Speed - 6 Cores x 1.9 GHz
Memory – 16 GB DDR3
Hard drives – 2 TB (2 x 1 TB SATA3)
Bandwidth without measuring
PRICE – $ 129 / month – $ 83.85 / month – ORDER NOW

Server Package PE-R320 – 2
Six Core Xeon E5-2440
Speed - 6 Cores x 2.4 GHz
Memory – 16 GB DDR3
Hard drives – 2 TB (2 x 1 TB SATA3)
Bandwidth without measuring
PRICE – $ 144 – $ 93.60 / month (3 months 35% discount) – ORDER NOW

You can also take a look at Centohost Dedicated performance servers:
More powerful servers for medium and large projects. –Bandwidth without meter + Free DDoS protection + Ready for IPv6 + Free configuration)

PE R610 Server Package – 1
2 x 6 Core Xeon X5650
Speed - 12 cores x 2.7 GHz (+ HT)
Memory – 32 GB DDR3
Hard drives – 2 TB SAS (2 x 1 TB SATA) Optional
Bandwidth without measuring
PRICE – $ 243 – $ 157.95 / month (3 months 35% discount) – ORDER NOW

Server Package PE R610 – 2
2 x 6 Core Xeon X5670
Speed - 12 Cores x 2.93 GHz (+ HT)
Memory – 32 GB DDR3
Hard drives – 2 TB SAS (2 x 1 TB SATA) Optional
Bandwidth without measuring
PRICE – $ 259 – $ 168.35 / month (3 months 35% discount) – ORDER NOW

Server Package PE-R710 – 3
2 x 6 Core Xeon X5670
Speed - 12 Cores x 2.93 GHz (+ HT)
Memory – 32 GB DDR3
Hard drives – 2 TB SAS (2 x 1 TB SATA) Optional
Bandwidth without measuring
PRICE – $ 274 – $ 178.10 / month (3 months 35% discount) – ORDER NOW

Server Package PE-R620
2 x 8 Core Xeon E5-2670
Speed - 16 Cores x 2.60 GHz (+ HT)
Memory – 64 GB DDR3
Hard drives – 2 TB SAS (2 x 1 TB SATA) Optional
Bandwidth without measuring
PRICE – $ 369 – $ 239.85 / month (3 months 35% discount) – ORDER NOW

Included with dedicated server:
– Quick configuration (In most cases, our servers will be ready in just 4 hours after your order)
– IPv4 and IPv6 network (All dedicated servers include IPv4 and IPv6 network addresses and connections)
– Traffic without filter (All our dedicated servers come with data transfer without meter)
– No configuration price (All our dedicated servers have a completely FREE configuration, even if you pay monthly)
– Free DDoS protection (All the dedicated servers in our offer are protected with an advanced DDoS protection system)
– Free hardware RAID (We offer FREE hardware raid control with all our performance servers)

=== >> Write to us:
Centohost LLC
7260 W. Azure Dr Ste. 140-796
Las Vegas, NV 89130, United States
E-mail: info@centohost.com
Phone: + 1-702-323-3802
Fax: + 1-702-323-3844

Not sure what is the best plan for you?
No problem. Send us a ticket with your questions and we will respond with a quote. Free.

[WTS] Best Business Hosting (FREE domain) | Money back guarantee at any time

High performance business hosting

ScopeHosts Enterprise Based Business accommodation The plans are adequate to meet all types of business standards. An easy-to-use cPanel eliminates complexity and increases the performance of the website to a higher level.

What kind of sites do Business Hosting need?
Business Hosting is perfect to host E-commerce websites, websites with a large amount of HD images and streaming videos, business listings and social networking sites. Choose the most appropriate plan to get the website hosted efficiently. ScopeHosts has made managing high-powered websites easier and more efficient through the best solutions and expert assistance.

Spotlights, to enhance your digital identity.

Are you running out of budget to ensure online presence? Optimize your website with a 100% secure and feature-rich web hosting infrastructure.

1. SSL Certificate for secured transactions.
2. Ease to control high traffic.
3. Standard protection of DDOS.
4. Web hosting infrastructure without problems.
5. CloudFlare CDN to accelerate the performance of the website.

The best business hosting plans for the success of your online presence

BH-Mini

2GB VRAM
30 GB of SSD space
2 vCPU & # 39; s
Unlimited bandwidth
Cloudflare CDN FREE
Comodo SSL FREE
Free domain

Price: E 16.99 / month

BUY NOW

BH-Pro

4GB VRAM
60 GB of SSD space
4 vCPU & # 39; s
Unlimited bandwidth
Cloudflare CDN FREE
Comodo SSL FREE
Free domain

Price: E 35.99 / month

BUY NOW

BH-Enterprise

6GBvRAM
120 GB SSD space
6 vCPU & # 39; s
Unlimited bandwidth
Cloudflare CDN FREE
Comodo SSL FREE
Free domain

Price: E 49.99 / month.

BUY NOW

Note
1. Monthly prices reflected when purchasing a 12-month contract (other contract terms available).
2. FREE and COMFORTABLE Positive SSL domain available only in annual subscriptions.

ScopeHosts Business Hosting
The comprehensive solution for e-commerce, high traffic and growing business websites.

For more updated offers Follow us on Facebook Y Twitter for updates

Insured Via de pago

Contact Us Here for consultations

Best regards,
Andre Allan
Sales Manager
Thank you

[MilesWeb] Managed WordPress Hosting at $ 1 / month | 50% OFF

This is a discussion about [MilesWeb] Managed WordPress Hosting at $ 1 / month | 50% discount | Free Domain, SSL within Webmaster Marketplace forums, part of the business category; MilesWeb makes WordPress fast, easy and safe. Our fully managed WordPress hosting service is ideal for bloggers, web developers, WooCommerce …