Step By Step Configuration Of High Availability (HA ) For Grafana On Redhat/CentOs 7


subtitle indonesia marriage not dating ep 5 click here High Availability is a group of computer that ensures the availability of backup server with no down-time. It can reduces the load on a single server which means lots of hits are coming on a single server to access any application, website and other applications on the server.

We can reduce the load on a server by configuring HA act as load balancer. It can be configured using Nginx or HA Proxy Server.

zyvox oral suspension cost HA Proxy is an open source Load balancer available today’s date. There are many load balancer like KEMP, Zevenet , Neutrino , Nginx etc.

aripiprazole augmentation induced hypertension in major depressive disorder a case report Configuration fle  binäre optionen market maker  /etc/haproxy/haproxy.conf

xenical orlistat 60mg follow link Our Senario Requirement 

a. HAProxy Server –

b. Application 1 IP –

c. Application 2 IP –

There are two method of HAproxy with the help of we can set up load balancing.

  1. Frontend
  2. Backend

denmark gay dating sites Installation of HAproxy on Redhat

Yum install Haproxy* -y

Sildenafil Citrate köpa flashback Services of HAProxy

enter  Systemctl  start/enable  haproxy

enter site Configuration  

Go the file /etc/haproxy/haproxy.conf

By Default, Grafana HTTP Port is 3000

binäre optionen indikatoren strategie Frontend Configuration For HAProxy

Put these line shown below

Frontend main

Bind :*80

Option http-server-close

Option forwarder

Default_backend app-main

click Backend Configuration as Balance Algorithm 

Backend app-main

Balance roundrobin                                    # Algorithm method

Server   test1  check       # application 1

Server   test1  check       # application 2

Now Restart a Service Again

go site systemctl  restart  haproxy

Go to browser and type and enter You will see HAProxy will take you on one of application available. You do not need to worry about on which server you’re logged in.

You’re done.



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