beckje01

        get { HttpClient httpClient ->
            def result = httpClient.request("http://beckje01.com", { RequestSpec requestSpec ->
                requestSpec.body.type("text/plain").stream { it << request.body.text }
                requestSpec.method(request.method.toString())
                request.headers.getNames().each {
                    requestSpec.headers.set(it, request.headers.get(it))
                }
            })

            result.onError({

beckje01

@Grab('io.ratpack:ratpack-groovy:0.9.6')

import ratpack.registry.RegistrySpec

import static ratpack.groovy.Groovy.*
import static ratpack.registry.Registries.registry

ratpack {
    handlers {
        handler {

beckje01

import org.apache.log4j.MDC

class LoggingFilters {

	public static final String CORRELATION_HEADER = "X-CorrelationId" //Our Standard

	def filters = {
		correlationId(controller: '*', action: '*') { //For all requests
			before = {
				String correlationId = request.getHeader(CORRELATION_HEADER)

beckje01

### Keybase proof

I hereby claim:

  * I am beckje01 on github.
  * I am beckje01 (https://keybase.io/beckje01) on keybase.
  * I have a public key whose fingerprint is 857D 6372 9EA4 7492 4FB7  D95A C3C2 391B B016 F80A

To claim this, I am signing this object:

beckje01

import io.vertx.core.http.HttpHeaders
import io.vertx.core.http.HttpServerRequest
import io.vertx.core.json.JsonObject
import io.vertx.ext.apex.RoutingContext
import io.vertx.ext.apex.handler.impl.AuthHandlerImpl
import io.vertx.ext.auth.AuthProvider;

class BearerAuthHandler extends AuthHandlerImpl {

beckje01

<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.4.3">Jekyll</generator><link href="http://localhost:4000/feed.xml" rel="self" type="application/atom+xml" /><link href="http://localhost:4000/" rel="alternate" type="text/html" /><updated>2018-08-20T07:13:23-05:00</updated><id>http://localhost:4000/</id><title type="html">Apache Cassandra Website</title><subtitle>The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.
</subtitle><entry><title type="html">Hardware-bound Zero Copy Streaming in Apache Cassandra 4.0</title><l