load-balancing

I've a loadbalancer and I get this kind errors: 2017/09/12 11:18:38 [crit] 22348#22348: accept4() failed (24: Too many open files) 2017/09/12 11:18:38 [alert] 22348#22348: *4288962 socket() failed (24: Too many open files) while connecting to upstream, client: x.x.x.x, server: example.com, request: "GET /xxx.jpg HTTP/1.1", upstream: "http://y.y.y.y:80/xxx.jpg", host: "example.com", referrer: "https://example.com/some-page" 2017/09/12 11:18:38 [crit] 22348#22348: *4288962 open() "/usr/local/nginx/html/50x.html" failed (24: Too many open files), client: x.x.x.x, server: example.com, request:

I know that by default, Bluemix / Cloud Foundry use round-robin load balancing . Is there a way to change that? If I deploy 2 apps with the same route, and want 90% of my traffic to go to blue, and 10% to green, is that possible? You would have to deploy more than two instances of the app to have better than 50-50 control over who sees what. If you have 10 instances, for example, and you update 1, then you could get your 90-10 split. Check out this CF CLI plugin: https://github.com/krujos/scaleover-plugin Configuring the load balancer is not possible. One workaround you could use to "simulate"

I tried to test RabbitMQ, but I found that rabbitmq has some problems: if I created a cluster of 3 nodes, I can't publish/delivered more than 6000/s. in other hand, if I worked with one single node, I can publish/delivery until 25000/s. which means, more that I add nodes, more performance is deteriorating. but from this article : https://blog.pivotal.io/pivotal/products/rabbitmq-hits-one-million-messages-per-second-on-google-compute-engine they can publish more than 1 million, so how they can do that? I want to make RabbitMQ process more than 1 million messages per second I resolved the

If I curl a POST request with file upload to my google compute load balancer (LB) I get a 502 error. If I do the same curl to the worker node behind the LB, it works . If I use a library like PHP Guzzle, it works either way. If I do a basic GET request on the LB, I get the correct response but the worker log does not acknowledge receiving the request as if the LB cached it. What is going on? FYI, google LB newb. Thanks Edit: I'm using GCE HTTP LB. The Curl command looks like this: curl http://1.2.3.4 -F "key=value" -F "data=@path/to/file" This curl command works when using the GCE VM IP but

I am using the Azure Load Balancer with Azure service fabric to host multiple self host web applications, I'd like to create a rule that allows me to route based on the users URL request. So for example if a user navigates to : http:// domain.com/Site1 then the rule would route to: http:// domain.com**:8181**/Site1 within the cluster if the user navigates to: http:// domain.com/Site2 then the rule would route to: http:// domain.com**:8282**/Site2 within the cluster Is this possible with azure service fabric/load balancer? The Azure Load Balancer only forwards traffic it receives on a port to a

I am currently developing a websocket application, which is deployed on a Tomcat server. Because of the huge number of users I would like to distribute the workload to multiple Tomcat instances. I decided to use Apache for load balancing. Now I have a problem with the implementation of Apache load balancing and sticky session for websockets requests. This is my Apache configuration: ProxyRequests off SSLProxyEngine on RewriteEngine On <Proxy balancer://http-localhost/> BalancerMember https://mcsgest1.desy.de:8443/Whiteboard/ route=jvm1 keepalive=On smax=1 connectiontimeout=10 retry=600 timeout