HAProxy load balancing with sticky sessions based on request body

Integrating systems you have no influence on needs a lot of workarounds. Recently we could not scale Python service consuming SOAP messages with a new hardware. It just didn’t benefit from more processing cores. On the other hand (and this happens often with older software) setting up several instances gave almost linear scalability. Only thing left – configure a loadbalancer and we are done.

Easier said than done. We had to make sure messages are loadbalanced but also that all messages related to given customer USSD conversation always hit the same backend service. So, we had to use application layer information to configure sticky sessions. This is not straightforward in HAProxy when you have to look into http payload and parse some specific information. We used HAProxy 1.6 and simple LUA script to do just that:

core.Alert("LUA script parsing SOAP element loaded");

function parseElement(txn, salt)

    local payload = txn.req:dup()

    -- parses integer value from element named "element"
    local value = string.match(string.match(payload, "element>%d+<"), "%d+")
    core.Info("value: " .. value)
    return value
end

-- register HAProxy "fetch"
core.register_fetches("parseElement", parseElement)

Put this script into a file and it can be loaded in HAProxy configuration using lua-load directive.

Script registers new HAProxy fetch which can be used to configure session stickiness.

balance roundrobin
stick-table type string size 30k expire 30m
stick on "lua.parseElement" table nodes

You have to also make sure all payload is loaded before you start parsing it. This can be achieved with option http-buffer-request configuration directive.

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And on the client side - use of service:


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First look

Screenshot of first version:


If you want to look at this closer, check the source code or download ready to run fatjar on github.During a last few evenings in my free time I've worked on mini-application called micro-burn. The idea of it appear from work with Agile Jira in our commercial project. This is a great tool for agile projects management. It has inline tasks edition, drag & drop board, reports and many more, but it also have a few drawbacks that turn down our team motivation.

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