I'm facing issues with posting data to instance in Google Compute Engine. I have tested using httpbin and am able to push over 1mb of data if I connect to the instance directly. However, when connecting with a https load balancer in front, I can't push over 300kb of data.
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lets say there are 2 web services. The goal is, that the app gateway routes the requests to both of them. If one of them is down, it should cache all the requests. Once it is up again, which can happen hours later, all the requests cached in the meantime should be send to it in the correct sequence. This is to preserve both services in the same state. Is something like this possible with an application gateway? Or with any other webserver/tool?
Thanks!
u can do that but u need some configuration HTTP Load Balancing
Load Balancer Overview
The capacity of a single server is limited. Once a website gains more and more attraction the instance serving the site comes to a point where it can not handle any more users. The website starts to slow down or even become unavailable as the server goes down from the traffic.
This is the point where a load balancer enters the game. It allows to spread the “load” that all those visitors and their requests create to be “balanced” over a series of different instances.
In case of increasing load on a setup, capacity can easily be increased by adding more instances to the load balancers backend. This allows to scale your infrastructure without any downtime or delays whilst waiting for DNS zones to be updated.
We have two apache servers for load balancing. Whenever I upload a file on one server. Using load balancing concepts, will it get copied into other server.
Do these two server maintain replica of each other?
If not, how to do that? How to maintain the replica of one another servers?
If Yes, what configuration is required.
Thanks for help.
Load balancing balances the requests that are sent to a load balancer to the server that actually answers them.
Handling files that are uploaded to one server is on the application level - it must be handled by your application - e.g. through storing it in a location that all nodes can access (filesystem, database).
There's nothing that tomcat or an appserver can do for you - because they don't know what needs to be replicated and what doesn't. They don't know if something that you uploaded will be processed and can be forgotten, or if it will be stored for later download.
If you make a setup with multiple load balancers, can it still support sticky sessions (e.g. cookie based)?
Since sticky sessions rely on state stored at the load balancer, the different load balancers would have to exchange that information. So technically I believe it is feasible.
Are there any free/paying solutions which can be deployed on prem that provide this feature?
I guess load balancers of AWS, Azure, etc implement such a feature?
What algorithm is used to balance HTTP load among several instances running on Bluemix? It seems I can use auto-scaling service to scale horizontally, and want to know what algorithm is used when balancing the load.
Cloud Foundry uses round-robin load balancing to distribute requests across the running instances of your app.
HI, just now i download the Elastic Load Balance 2.1.0 from WSO2 ,It
is running on terminal side of Linux ubuntu, but it is not showing the
Management console url. If it is not showing url where can i get UI
of Elastic Load Balance.
i have a multiple esb server with same configuration.if my a1 server
go down that time data load will shift to my a2 server .Is this use of
Elasticloadbalance will you explain me about this what is the exactly
use of this .
No, there is no UI component for ELB. Everything has to be done through configuring physical files.
Elastic LoadBalancer 2.1.0 is based on Hazlecast dependent clustering. This has two parts, one is load balancing and the other is elasticity. Load Balancing is simply distributing workload among a number of endpoints configured in a static or dynamic manner. Elasticity is simply scaling, ie monitoring load on worker nodes and starts or terminates nodes based on need on an IaaS environment.
Not only manages when a node goes down but also depending on load it can spawn new nodes to handle and if the load is low it can kill unwanted instances in an IaaS environment.