diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.gitignore b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.gitignore
new file mode 100644
index 0000000..82eca33
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.gitignore
@@ -0,0 +1,25 @@
+/target/
+!.mvn/wrapper/maven-wrapper.jar
+
+### STS ###
+.apt_generated
+.classpath
+.factorypath
+.project
+.settings
+.springBeans
+.sts4-cache
+
+### IntelliJ IDEA ###
+.idea
+*.iws
+*.iml
+*.ipr
+
+### NetBeans ###
+/nbproject/private/
+/build/
+/nbbuild/
+/dist/
+/nbdist/
+/.nb-gradle/
\ No newline at end of file
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.mvn/wrapper/maven-wrapper.jar b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.mvn/wrapper/maven-wrapper.jar
new file mode 100644
index 0000000..9cc84ea
Binary files /dev/null and b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.mvn/wrapper/maven-wrapper.jar differ
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.mvn/wrapper/maven-wrapper.properties b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.mvn/wrapper/maven-wrapper.properties
new file mode 100644
index 0000000..b573bb5
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/.mvn/wrapper/maven-wrapper.properties
@@ -0,0 +1 @@
+distributionUrl=https://repo1.maven.org/maven2/org/apache/maven/apache-maven/3.5.3/apache-maven-3.5.3-bin.zip
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/LICENSE b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/LICENSE
new file mode 100644
index 0000000..261eeb9
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/LICENSE
@@ -0,0 +1,201 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+ 1. Definitions.
+
+ "License" shall mean the terms and conditions for use, reproduction,
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+
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+ "Derivative Works" shall mean any work, whether in Source or Object
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+ editorial revisions, annotations, elaborations, or other modifications
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+ "Contribution" shall mean any work of authorship, including
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+ 5. Submission of Contributions. Unless You explicitly state otherwise,
+ any Contribution intentionally submitted for inclusion in the Work
+ by You to the Licensor shall be under the terms and conditions of
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+ Notwithstanding the above, nothing herein shall supersede or modify
+ the terms of any separate license agreement you may have executed
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+ 6. Trademarks. This License does not grant permission to use the trade
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+ 7. Disclaimer of Warranty. Unless required by applicable law or
+ agreed to in writing, Licensor provides the Work (and each
+ Contributor provides its Contributions) on an "AS IS" BASIS,
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+ risks associated with Your exercise of permissions under this License.
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+ 8. Limitation of Liability. In no event and under no legal theory,
+ whether in tort (including negligence), contract, or otherwise,
+ unless required by applicable law (such as deliberate and grossly
+ negligent acts) or agreed to in writing, shall any Contributor be
+ liable to You for damages, including any direct, indirect, special,
+ incidental, or consequential damages of any character arising as a
+ result of this License or out of the use or inability to use the
+ Work (including but not limited to damages for loss of goodwill,
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+ on Your own behalf and on Your sole responsibility, not on behalf
+ of any other Contributor, and only if You agree to indemnify,
+ defend, and hold each Contributor harmless for any liability
+ incurred by, or claims asserted against, such Contributor by reason
+ of your accepting any such warranty or additional liability.
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+ Copyright [yyyy] [name of copyright owner]
+
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/README.md b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/README.md
new file mode 100644
index 0000000..af93e76
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/README.md
@@ -0,0 +1,8 @@
+## Spring Cloud Data Flow - Prometheus Service Discovery (Local Deployer)
+
+Sample service that uses the SCDF's runtime applications metadata to discover SpringBoot applications to be monitored with Prometheus.
+
+Works only for SCDF local deployer and should be used on for test/demo purposes.
+
+
+
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/mvnw b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/mvnw
new file mode 100755
index 0000000..5bf251c
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/mvnw
@@ -0,0 +1,225 @@
+#!/bin/sh
+# ----------------------------------------------------------------------------
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+# ----------------------------------------------------------------------------
+
+# ----------------------------------------------------------------------------
+# Maven2 Start Up Batch script
+#
+# Required ENV vars:
+# ------------------
+# JAVA_HOME - location of a JDK home dir
+#
+# Optional ENV vars
+# -----------------
+# M2_HOME - location of maven2's installed home dir
+# MAVEN_OPTS - parameters passed to the Java VM when running Maven
+# e.g. to debug Maven itself, use
+# set MAVEN_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000
+# MAVEN_SKIP_RC - flag to disable loading of mavenrc files
+# ----------------------------------------------------------------------------
+
+if [ -z "$MAVEN_SKIP_RC" ] ; then
+
+ if [ -f /etc/mavenrc ] ; then
+ . /etc/mavenrc
+ fi
+
+ if [ -f "$HOME/.mavenrc" ] ; then
+ . "$HOME/.mavenrc"
+ fi
+
+fi
+
+# OS specific support. $var _must_ be set to either true or false.
+cygwin=false;
+darwin=false;
+mingw=false
+case "`uname`" in
+ CYGWIN*) cygwin=true ;;
+ MINGW*) mingw=true;;
+ Darwin*) darwin=true
+ # Use /usr/libexec/java_home if available, otherwise fall back to /Library/Java/Home
+ # See https://developer.apple.com/library/mac/qa/qa1170/_index.html
+ if [ -z "$JAVA_HOME" ]; then
+ if [ -x "/usr/libexec/java_home" ]; then
+ export JAVA_HOME="`/usr/libexec/java_home`"
+ else
+ export JAVA_HOME="/Library/Java/Home"
+ fi
+ fi
+ ;;
+esac
+
+if [ -z "$JAVA_HOME" ] ; then
+ if [ -r /etc/gentoo-release ] ; then
+ JAVA_HOME=`java-config --jre-home`
+ fi
+fi
+
+if [ -z "$M2_HOME" ] ; then
+ ## resolve links - $0 may be a link to maven's home
+ PRG="$0"
+
+ # need this for relative symlinks
+ while [ -h "$PRG" ] ; do
+ ls=`ls -ld "$PRG"`
+ link=`expr "$ls" : '.*-> \(.*\)$'`
+ if expr "$link" : '/.*' > /dev/null; then
+ PRG="$link"
+ else
+ PRG="`dirname "$PRG"`/$link"
+ fi
+ done
+
+ saveddir=`pwd`
+
+ M2_HOME=`dirname "$PRG"`/..
+
+ # make it fully qualified
+ M2_HOME=`cd "$M2_HOME" && pwd`
+
+ cd "$saveddir"
+ # echo Using m2 at $M2_HOME
+fi
+
+# For Cygwin, ensure paths are in UNIX format before anything is touched
+if $cygwin ; then
+ [ -n "$M2_HOME" ] &&
+ M2_HOME=`cygpath --unix "$M2_HOME"`
+ [ -n "$JAVA_HOME" ] &&
+ JAVA_HOME=`cygpath --unix "$JAVA_HOME"`
+ [ -n "$CLASSPATH" ] &&
+ CLASSPATH=`cygpath --path --unix "$CLASSPATH"`
+fi
+
+# For Migwn, ensure paths are in UNIX format before anything is touched
+if $mingw ; then
+ [ -n "$M2_HOME" ] &&
+ M2_HOME="`(cd "$M2_HOME"; pwd)`"
+ [ -n "$JAVA_HOME" ] &&
+ JAVA_HOME="`(cd "$JAVA_HOME"; pwd)`"
+ # TODO classpath?
+fi
+
+if [ -z "$JAVA_HOME" ]; then
+ javaExecutable="`which javac`"
+ if [ -n "$javaExecutable" ] && ! [ "`expr \"$javaExecutable\" : '\([^ ]*\)'`" = "no" ]; then
+ # readlink(1) is not available as standard on Solaris 10.
+ readLink=`which readlink`
+ if [ ! `expr "$readLink" : '\([^ ]*\)'` = "no" ]; then
+ if $darwin ; then
+ javaHome="`dirname \"$javaExecutable\"`"
+ javaExecutable="`cd \"$javaHome\" && pwd -P`/javac"
+ else
+ javaExecutable="`readlink -f \"$javaExecutable\"`"
+ fi
+ javaHome="`dirname \"$javaExecutable\"`"
+ javaHome=`expr "$javaHome" : '\(.*\)/bin'`
+ JAVA_HOME="$javaHome"
+ export JAVA_HOME
+ fi
+ fi
+fi
+
+if [ -z "$JAVACMD" ] ; then
+ if [ -n "$JAVA_HOME" ] ; then
+ if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
+ # IBM's JDK on AIX uses strange locations for the executables
+ JAVACMD="$JAVA_HOME/jre/sh/java"
+ else
+ JAVACMD="$JAVA_HOME/bin/java"
+ fi
+ else
+ JAVACMD="`which java`"
+ fi
+fi
+
+if [ ! -x "$JAVACMD" ] ; then
+ echo "Error: JAVA_HOME is not defined correctly." >&2
+ echo " We cannot execute $JAVACMD" >&2
+ exit 1
+fi
+
+if [ -z "$JAVA_HOME" ] ; then
+ echo "Warning: JAVA_HOME environment variable is not set."
+fi
+
+CLASSWORLDS_LAUNCHER=org.codehaus.plexus.classworlds.launcher.Launcher
+
+# traverses directory structure from process work directory to filesystem root
+# first directory with .mvn subdirectory is considered project base directory
+find_maven_basedir() {
+
+ if [ -z "$1" ]
+ then
+ echo "Path not specified to find_maven_basedir"
+ return 1
+ fi
+
+ basedir="$1"
+ wdir="$1"
+ while [ "$wdir" != '/' ] ; do
+ if [ -d "$wdir"/.mvn ] ; then
+ basedir=$wdir
+ break
+ fi
+ # workaround for JBEAP-8937 (on Solaris 10/Sparc)
+ if [ -d "${wdir}" ]; then
+ wdir=`cd "$wdir/.."; pwd`
+ fi
+ # end of workaround
+ done
+ echo "${basedir}"
+}
+
+# concatenates all lines of a file
+concat_lines() {
+ if [ -f "$1" ]; then
+ echo "$(tr -s '\n' ' ' < "$1")"
+ fi
+}
+
+BASE_DIR=`find_maven_basedir "$(pwd)"`
+if [ -z "$BASE_DIR" ]; then
+ exit 1;
+fi
+
+export MAVEN_PROJECTBASEDIR=${MAVEN_BASEDIR:-"$BASE_DIR"}
+echo $MAVEN_PROJECTBASEDIR
+MAVEN_OPTS="$(concat_lines "$MAVEN_PROJECTBASEDIR/.mvn/jvm.config") $MAVEN_OPTS"
+
+# For Cygwin, switch paths to Windows format before running java
+if $cygwin; then
+ [ -n "$M2_HOME" ] &&
+ M2_HOME=`cygpath --path --windows "$M2_HOME"`
+ [ -n "$JAVA_HOME" ] &&
+ JAVA_HOME=`cygpath --path --windows "$JAVA_HOME"`
+ [ -n "$CLASSPATH" ] &&
+ CLASSPATH=`cygpath --path --windows "$CLASSPATH"`
+ [ -n "$MAVEN_PROJECTBASEDIR" ] &&
+ MAVEN_PROJECTBASEDIR=`cygpath --path --windows "$MAVEN_PROJECTBASEDIR"`
+fi
+
+WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain
+
+exec "$JAVACMD" \
+ $MAVEN_OPTS \
+ -classpath "$MAVEN_PROJECTBASEDIR/.mvn/wrapper/maven-wrapper.jar" \
+ "-Dmaven.home=${M2_HOME}" "-Dmaven.multiModuleProjectDirectory=${MAVEN_PROJECTBASEDIR}" \
+ ${WRAPPER_LAUNCHER} $MAVEN_CONFIG "$@"
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/mvnw.cmd b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/mvnw.cmd
new file mode 100644
index 0000000..019bd74
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/mvnw.cmd
@@ -0,0 +1,143 @@
+@REM ----------------------------------------------------------------------------
+@REM Licensed to the Apache Software Foundation (ASF) under one
+@REM or more contributor license agreements. See the NOTICE file
+@REM distributed with this work for additional information
+@REM regarding copyright ownership. The ASF licenses this file
+@REM to you under the Apache License, Version 2.0 (the
+@REM "License"); you may not use this file except in compliance
+@REM with the License. You may obtain a copy of the License at
+@REM
+@REM http://www.apache.org/licenses/LICENSE-2.0
+@REM
+@REM Unless required by applicable law or agreed to in writing,
+@REM software distributed under the License is distributed on an
+@REM "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+@REM KIND, either express or implied. See the License for the
+@REM specific language governing permissions and limitations
+@REM under the License.
+@REM ----------------------------------------------------------------------------
+
+@REM ----------------------------------------------------------------------------
+@REM Maven2 Start Up Batch script
+@REM
+@REM Required ENV vars:
+@REM JAVA_HOME - location of a JDK home dir
+@REM
+@REM Optional ENV vars
+@REM M2_HOME - location of maven2's installed home dir
+@REM MAVEN_BATCH_ECHO - set to 'on' to enable the echoing of the batch commands
+@REM MAVEN_BATCH_PAUSE - set to 'on' to wait for a key stroke before ending
+@REM MAVEN_OPTS - parameters passed to the Java VM when running Maven
+@REM e.g. to debug Maven itself, use
+@REM set MAVEN_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000
+@REM MAVEN_SKIP_RC - flag to disable loading of mavenrc files
+@REM ----------------------------------------------------------------------------
+
+@REM Begin all REM lines with '@' in case MAVEN_BATCH_ECHO is 'on'
+@echo off
+@REM enable echoing my setting MAVEN_BATCH_ECHO to 'on'
+@if "%MAVEN_BATCH_ECHO%" == "on" echo %MAVEN_BATCH_ECHO%
+
+@REM set %HOME% to equivalent of $HOME
+if "%HOME%" == "" (set "HOME=%HOMEDRIVE%%HOMEPATH%")
+
+@REM Execute a user defined script before this one
+if not "%MAVEN_SKIP_RC%" == "" goto skipRcPre
+@REM check for pre script, once with legacy .bat ending and once with .cmd ending
+if exist "%HOME%\mavenrc_pre.bat" call "%HOME%\mavenrc_pre.bat"
+if exist "%HOME%\mavenrc_pre.cmd" call "%HOME%\mavenrc_pre.cmd"
+:skipRcPre
+
+@setlocal
+
+set ERROR_CODE=0
+
+@REM To isolate internal variables from possible post scripts, we use another setlocal
+@setlocal
+
+@REM ==== START VALIDATION ====
+if not "%JAVA_HOME%" == "" goto OkJHome
+
+echo.
+echo Error: JAVA_HOME not found in your environment. >&2
+echo Please set the JAVA_HOME variable in your environment to match the >&2
+echo location of your Java installation. >&2
+echo.
+goto error
+
+:OkJHome
+if exist "%JAVA_HOME%\bin\java.exe" goto init
+
+echo.
+echo Error: JAVA_HOME is set to an invalid directory. >&2
+echo JAVA_HOME = "%JAVA_HOME%" >&2
+echo Please set the JAVA_HOME variable in your environment to match the >&2
+echo location of your Java installation. >&2
+echo.
+goto error
+
+@REM ==== END VALIDATION ====
+
+:init
+
+@REM Find the project base dir, i.e. the directory that contains the folder ".mvn".
+@REM Fallback to current working directory if not found.
+
+set MAVEN_PROJECTBASEDIR=%MAVEN_BASEDIR%
+IF NOT "%MAVEN_PROJECTBASEDIR%"=="" goto endDetectBaseDir
+
+set EXEC_DIR=%CD%
+set WDIR=%EXEC_DIR%
+:findBaseDir
+IF EXIST "%WDIR%"\.mvn goto baseDirFound
+cd ..
+IF "%WDIR%"=="%CD%" goto baseDirNotFound
+set WDIR=%CD%
+goto findBaseDir
+
+:baseDirFound
+set MAVEN_PROJECTBASEDIR=%WDIR%
+cd "%EXEC_DIR%"
+goto endDetectBaseDir
+
+:baseDirNotFound
+set MAVEN_PROJECTBASEDIR=%EXEC_DIR%
+cd "%EXEC_DIR%"
+
+:endDetectBaseDir
+
+IF NOT EXIST "%MAVEN_PROJECTBASEDIR%\.mvn\jvm.config" goto endReadAdditionalConfig
+
+@setlocal EnableExtensions EnableDelayedExpansion
+for /F "usebackq delims=" %%a in ("%MAVEN_PROJECTBASEDIR%\.mvn\jvm.config") do set JVM_CONFIG_MAVEN_PROPS=!JVM_CONFIG_MAVEN_PROPS! %%a
+@endlocal & set JVM_CONFIG_MAVEN_PROPS=%JVM_CONFIG_MAVEN_PROPS%
+
+:endReadAdditionalConfig
+
+SET MAVEN_JAVA_EXE="%JAVA_HOME%\bin\java.exe"
+
+set WRAPPER_JAR="%MAVEN_PROJECTBASEDIR%\.mvn\wrapper\maven-wrapper.jar"
+set WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain
+
+%MAVEN_JAVA_EXE% %JVM_CONFIG_MAVEN_PROPS% %MAVEN_OPTS% %MAVEN_DEBUG_OPTS% -classpath %WRAPPER_JAR% "-Dmaven.multiModuleProjectDirectory=%MAVEN_PROJECTBASEDIR%" %WRAPPER_LAUNCHER% %MAVEN_CONFIG% %*
+if ERRORLEVEL 1 goto error
+goto end
+
+:error
+set ERROR_CODE=1
+
+:end
+@endlocal & set ERROR_CODE=%ERROR_CODE%
+
+if not "%MAVEN_SKIP_RC%" == "" goto skipRcPost
+@REM check for post script, once with legacy .bat ending and once with .cmd ending
+if exist "%HOME%\mavenrc_post.bat" call "%HOME%\mavenrc_post.bat"
+if exist "%HOME%\mavenrc_post.cmd" call "%HOME%\mavenrc_post.cmd"
+:skipRcPost
+
+@REM pause the script if MAVEN_BATCH_PAUSE is set to 'on'
+if "%MAVEN_BATCH_PAUSE%" == "on" pause
+
+if "%MAVEN_TERMINATE_CMD%" == "on" exit %ERROR_CODE%
+
+exit /B %ERROR_CODE%
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/pom.xml b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/pom.xml
new file mode 100644
index 0000000..aa37cd8
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/pom.xml
@@ -0,0 +1,71 @@
+
+
+ 4.0.0
+
+ org.springframework.cloud
+ spring-cloud-dataflow-prometheus-service-discovery
+ 0.0.1-SNAPSHOT
+ jar
+
+ spring-cloud-dataflow-prometheus-service-discovery
+ Demo project for Spring Boot
+
+
+ org.springframework.boot
+ spring-boot-starter-parent
+ 2.0.1.RELEASE
+
+
+
+
+ UTF-8
+ UTF-8
+ 1.8
+
+
+
+
+ org.springframework.boot
+ spring-boot-configuration-processor
+ true
+
+
+ org.springframework.cloud
+ spring-cloud-dataflow-rest-resource
+ 1.5.0.BUILD-SNAPSHOT
+
+
+ org.springframework.boot
+ spring-boot-starter-web
+
+
+
+ org.springframework.boot
+ spring-boot-starter-test
+ test
+
+
+ org.springframework.hateoas
+ spring-hateoas
+ 0.24.0.RELEASE
+ test
+
+
+ org.springframework.hateoas
+ spring-hateoas
+ 0.24.0.RELEASE
+
+
+
+
+
+
+ org.springframework.boot
+ spring-boot-maven-plugin
+
+
+
+
+
+
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/main/java/org/springframework/cloud/dataflow/prometheus/servicediscovery/DataflowPrometheusServiceDiscoveryApplication.java b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/main/java/org/springframework/cloud/dataflow/prometheus/servicediscovery/DataflowPrometheusServiceDiscoveryApplication.java
new file mode 100644
index 0000000..c423eda
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/main/java/org/springframework/cloud/dataflow/prometheus/servicediscovery/DataflowPrometheusServiceDiscoveryApplication.java
@@ -0,0 +1,181 @@
+/*
+ * Copyright 2015-2017 the original author or authors.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.springframework.cloud.dataflow.prometheus.servicediscovery;
+
+import java.io.FileWriter;
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+import org.springframework.cloud.dataflow.rest.resource.AppStatusResource;
+import org.springframework.hateoas.hal.Jackson2HalModule;
+import org.springframework.http.converter.json.Jackson2ObjectMapperBuilder;
+import org.springframework.http.converter.json.MappingJackson2HttpMessageConverter;
+import org.springframework.scheduling.annotation.EnableScheduling;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.web.client.RestTemplate;
+
+/**
+ * Prometheus Service Discovery for SCSt apps deployed with the Local Deployer (?k8s?). It is build on top of the
+ * file_sd_config mechanism
+ *
+ * https://prometheus.io/docs/prometheus/latest/configuration/configuration/#%3Cfile_sd_config%3E
+ *
+ * @author Christian Tzolov
+ */
+@SpringBootApplication
+@EnableScheduling
+public class DataflowPrometheusServiceDiscoveryApplication {
+
+ private final Logger logger = LoggerFactory.getLogger(DataflowPrometheusServiceDiscoveryApplication.class);
+ private final ObjectMapper objectMapper;
+ private final RestTemplate restTemplate;
+
+
+ public enum TargetMode {local, promregator}
+
+ /**
+ * Url of the the SCDF Runtime REST endpoint:
+ * https://docs.spring.io/spring-cloud-dataflow/docs/current/reference/htmlsingle/#api-guide-resources-runtime-information-applications
+ */
+ @Value("${metrics.prometheus.target.discovery.url:http://localhost:9393/runtime/apps}")
+ private String targetDiscoveryUrl;
+
+ /**
+ * Path where the generated targets.json file is stored.
+ */
+ @Value("${metrics.prometheus.target.file.path:/tmp/targets.json}")
+ private String outputTargetFilePath;
+
+ // For k8s deployment use 'pod.ip' instead of 'url'
+ @Value("${metrics.prometheus.target.dataflow.runtime.attribute.name:url}")
+ private String attributeName;
+
+ @Value("${metrics.prometheus.target.mode:local}")
+ private TargetMode targetMode;
+
+ public DataflowPrometheusServiceDiscoveryApplication() {
+ this.objectMapper = Jackson2ObjectMapperBuilder.json().modules(new Jackson2HalModule()).build();
+ this.restTemplate = new RestTemplate(Arrays.asList(new MappingJackson2HttpMessageConverter(this.objectMapper)));
+
+ }
+
+ public static void main(String[] args) {
+ SpringApplication.run(DataflowPrometheusServiceDiscoveryApplication.class, args);
+ }
+
+ /**
+ * Use the metrics.prometheus.target.refresh.rate property (in milliseconds) to change the targets discovery rate.
+ *
+ * @throws IOException
+ */
+ @Scheduled(fixedRateString = "${metrics.prometheus.target.refresh.rate:15000}")
+ public void updateTargets() throws IOException {
+
+ String targetsJson;
+ if (this.targetMode == TargetMode.local) {
+ targetsJson = this.findTargetsFromDataflowRuntimeApps();
+ }
+ else if (this.targetMode == TargetMode.promregator) {
+ targetsJson = this.findTargetsWithPromregator();
+ }
+ else {
+ throw new IllegalStateException("Unknown target mode:" + this.targetMode);
+ }
+
+ logger.info(this.targetMode + ": " + targetsJson);
+
+ this.updateTargetsFile(targetsJson);
+ }
+
+ public String findTargetsFromDataflowRuntimeApps() throws IOException {
+
+ AppStatusResource.Page page = this.restTemplate.getForObject(this.targetDiscoveryUrl, AppStatusResource.Page.class);
+
+ List targetUrls = page.getContent().stream()
+ .map(appResource -> appResource.getInstances().getContent())
+ .flatMap(instances -> instances.stream().map(inst -> inst.getAttributes().get(this.attributeName)))
+ .map(url -> url.replace("http://", ""))
+ .collect(Collectors.toList());
+
+ return this.buildPrometheusTargetsJson(targetUrls);
+ }
+
+ private String findTargetsWithPromregator() throws IOException {
+ Object b = new RestTemplate().getForObject(this.targetDiscoveryUrl, Object.class);
+ return this.objectMapper.writeValueAsString(b);
+ }
+
+ /**
+ * Converts a list of urls into JSON list of static target configs, compliant with the file_sd_config format.
+ * @param targetUrls list of SCSt apps ip:ports to be used as prometheus metrics targets.
+ * @return json record compliant with file_sd_config
+ * @throws JsonProcessingException
+ */
+ private String buildPrometheusTargetsJson(List targetUrls) throws JsonProcessingException {
+ StaticConfig staticConfig = new StaticConfig();
+ staticConfig.setTargets(targetUrls);
+ staticConfig.setLabels(Collections.singletonMap("job", "scdf"));
+ return this.objectMapper.writeValueAsString(Arrays.asList(staticConfig));
+ }
+
+ /**
+ * Re-writes the updated targets json into output file used by Prometheus.
+ * @param targetsJson SCDF apps targets
+ * @throws IOException
+ */
+ private void updateTargetsFile(String targetsJson) throws IOException {
+ FileWriter fw = new FileWriter(this.outputTargetFilePath);
+ fw.write(targetsJson);
+ fw.close();
+ }
+
+ /**
+ * Java model used as JSON representation of Prometheus' static target format.
+ * https://prometheus.io/docs/prometheus/latest/configuration/configuration/#%3Cfile_sd_config%3E
+ */
+ public static class StaticConfig {
+ private List targets;
+ private Map labels;
+
+ public List getTargets() {
+ return targets;
+ }
+
+ public void setTargets(List targets) {
+ this.targets = targets;
+ }
+
+ public Map getLabels() {
+ return labels;
+ }
+
+ public void setLabels(Map labels) {
+ this.labels = labels;
+ }
+ }
+}
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/main/resources/application.properties b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/main/resources/application.properties
new file mode 100644
index 0000000..e69de29
diff --git a/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/test/java/org/springframework/cloud/dataflow/prometheus/servicediscovery/SpringCloudDataflowPrometheusServiceDiscoveryApplicationTests.java b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/test/java/org/springframework/cloud/dataflow/prometheus/servicediscovery/SpringCloudDataflowPrometheusServiceDiscoveryApplicationTests.java
new file mode 100644
index 0000000..483476b
--- /dev/null
+++ b/micrometer/spring-cloud-dataflow-prometheus-service-discovery/src/test/java/org/springframework/cloud/dataflow/prometheus/servicediscovery/SpringCloudDataflowPrometheusServiceDiscoveryApplicationTests.java
@@ -0,0 +1,16 @@
+package org.springframework.cloud.dataflow.prometheus.servicediscovery;
+
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.springframework.boot.test.context.SpringBootTest;
+import org.springframework.test.context.junit4.SpringRunner;
+
+@RunWith(SpringRunner.class)
+@SpringBootTest
+public class SpringCloudDataflowPrometheusServiceDiscoveryApplicationTests {
+
+ @Test
+ public void contextLoads() {
+ }
+
+}
diff --git a/src/main/asciidoc/images/grafana-influx-dashboard.png b/src/main/asciidoc/images/grafana-influx-dashboard.png
new file mode 100644
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diff --git a/src/main/asciidoc/images/grafana-influxdb-datasource.png b/src/main/asciidoc/images/grafana-influxdb-datasource.png
new file mode 100644
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diff --git a/src/main/asciidoc/images/grafana-prometheus-dashboard.png b/src/main/asciidoc/images/grafana-prometheus-dashboard.png
new file mode 100644
index 0000000..ae2d6c6
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diff --git a/src/main/asciidoc/images/scdf-micrometer-influxdb-grafana-architecture.png b/src/main/asciidoc/images/scdf-micrometer-influxdb-grafana-architecture.png
new file mode 100644
index 0000000..4dc7736
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diff --git a/src/main/asciidoc/images/scdf-micrometer-prometheus-grafana-architecture.png b/src/main/asciidoc/images/scdf-micrometer-prometheus-grafana-architecture.png
new file mode 100644
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Binary files /dev/null and b/src/main/asciidoc/images/scdf-micrometer-prometheus-grafana-architecture.png differ
diff --git a/src/main/asciidoc/index.adoc b/src/main/asciidoc/index.adoc
index 85a78e3..7b14d01 100644
--- a/src/main/asciidoc/index.adoc
+++ b/src/main/asciidoc/index.adoc
@@ -1,5 +1,5 @@
= Spring Cloud Data Flow Samples
-Sabby Anandan; David Turanski; Glenn Renfro; Eric Bottard; Mark Pollack; Chris Schaefer
+Sabby Anandan; David Turanski; Glenn Renfro; Eric Bottard; Mark Pollack; Chris Schaefer; Christian Tzolov
:doctype: book
:toc:
:toclevels: 4
diff --git a/src/main/asciidoc/micrometer/influx/main.adoc b/src/main/asciidoc/micrometer/influx/main.adoc
new file mode 100644
index 0000000..668ec0a
--- /dev/null
+++ b/src/main/asciidoc/micrometer/influx/main.adoc
@@ -0,0 +1,123 @@
+[[spring-cloud-data-flow-samples-micrometer-influx-overview]]
+:sectnums:
+:docs_dir: ../..
+
+=== SCDF metrics with InfluxDB and Grafana
+
+In this demonstration, you will learn how http://micrometer.io[Micrometer] can help to monitor your http://cloud.spring.io/spring-cloud-dataflow/[Spring Cloud Data Flow] (SCDF) streams using https://docs.influxdata.com/influxdb/v1.5/[InfluxDB] and https://grafana.com/grafana[Grafana].
+
+https://docs.influxdata.com/influxdb/v1.5/[InfluxDB] is a real-time storage for time-series data, such as SCDF metrics. It supports downsampling, automatically expiring and deleting unwanted data, as well as backup and restore. Analysis of data is done via a https://docs.influxdata.com/influxdb/v1.5/query_language/[SQL-like query] language.
+
+https://grafana.com/grafana[Grafana] is open source metrics Dashboard platform. It supports multiple backend time-series databases including InluxDB.
+
+The architecture (Fig.1) builds on the https://docs.spring.io/spring-boot/docs/2.0.1.RELEASE/reference/htmlsingle/#production-ready-metrics-getting-started[Spring Boot Micrometer] functionality. When a http://micrometer.io/docs/registry/influx[micrometer-registry-influx] dependency is found on the classpath the Spring Boot auto-configures the metrics export for `InfluxDB`.
+
+The https://cloud.spring.io/spring-cloud-stream-app-starters/[Spring Cloud Stream] (SCSt) applications inherit the mircometer functionality, allowing them to compute and send various application metrics to the configured time-series database.
+
+image::scdf-micrometer-influxdb-grafana-architecture.png[scaledwidth="100%", title="SCDF metrics analyzis with InfluxDB and Grafana"]
+
+Out of the box, SCSt sends https://docs.spring.io/spring-boot/docs/2.0.1.RELEASE/reference/htmlsingle/#production-ready-metrics-meter[core metrics] such as `CPU`, `Memory`, `MVC` and `Health` to name some. Among those the https://docs.spring.io/spring-integration/docs/current/reference/html/system-management-chapter.html#micrometer-integration[Spring Integration metrics] allows computing the `Rate` and the `Latency` of the messages in the SCDF streams.
+
+NOTE: Unlike Spring Cloud Data Flow Metrics Collector, metrics here are sent synchronously over HTTP not through a Binder channel topic.
+
+All Spring Cloud Stream App Starers enrich the standard http://micrometer.io/docs/concepts#_supported_monitoring_systems[dimensional tags] with the following SCDF specific tags:
+[width="100%",options="header"]
+|====================
+| tag name | SCDF property | default value
+| stream.name | spring.cloud.dataflow.stream.name | unknown
+| application.name | spring.cloud.dataflow.stream.app.label | unknown
+| instance.index | instance.index | 0
+| application.guid | spring.cloud.application.guid | unknown
+| application.type | spring.cloud.dataflow.stream.app.type | unknown
+|====================
+
+NOTE: For custom app starters that don't extend from the https://github.com/spring-cloud-stream-app-starters/core[core] parent, you should add the `app-starters-common` : `org.springframework.cloud.stream.app` dependency to enable the SCDF tags.
+
+Below we will present the steps to prep, configure the demo of Spring Cloud Data Flow's `Local` server integration with `InfluxDB`. For other deployment environment, such as `Cloud Foundry` or `Kubernetes`, additional configurations might be required.
+
+==== Prerequisites
+
+* A Running Data Flow Shell
+include::{docs_dir}/shell.adoc[]
+* A running local Data Flow Server
+include::{docs_dir}/local-server.adoc[]
+* Running instance of link:http://kafka.apache.org/downloads.html[Kafka]
+* Spring Cloud Stream 2.x based https://github.com/spring-cloud-stream-app-starters/time/blob/master/spring-cloud-starter-stream-source-time/README.adoc[Time] and https://github.com/spring-cloud-stream-app-starters/log/blob/master/spring-cloud-starter-stream-sink-log/README.adoc[Log] applications starters, pre-built with `io.micrometer:micrometer-registry-influx` dependency.
++
+NOTE: Next versions of the https://start-scs.cfapps.io/[SCSt App Initializr] utility would add support for Micrometer dependencies to facilitate the injection of micrometer-registries with SCSt apps.
+
+==== Building and Running the Demo
+
+. Register `time` and `log` applications that are pre-built with `io.micrometer:micrometer-registry-influx`. The next version of https://start-scs.cfapps.io/[SCSt App Initializr] allows adding Micrometer registry dependencies as well.
++
+```bash
+app register --name time2 --type source --uri file:///time-source-kafka-2.0.0.BUILD-SNAPSHOT.jar --metadata-uri file:///time-source-kafka-2.0.0.BUILD-SNAPSHOT-metadata.jar
+
+app register --name log2 --type sink --uri file:///log-sink-kafka-2.0.0.BUILD-SNAPSHOT.jar --metadata-uri file:///log-sink-kafka-2.0.0.BUILD-SNAPSHOT-metadata.jar
+```
++
+. Create InfluxDB and Grafana Docker containers
++
+```bash
+docker run -d --name grafana -p 3000:3000 grafana/grafana:5.1.0
+
+docker run -d --name influxdb -p 8086:8086 influxdb:1.5.2-alpine
+```
++
+. Create and deploy the following stream
++
+```bash
+dataflow:>stream create --name t2 --definition "time2 | log2"
+
+dataflow:>stream deploy --name t2 --properties "app.*.management.metrics.export.influx.db=myinfluxdb"
+```
+The `app.*.management.metrics.export.influx.db=myinfluxdb` instructs the `time2` and `log2` apps to use the `myinfluxdb` database (created automatically).
++
+By default, the InfluxDB server runs on `http://localhost:8086`. You can add the `app.*.management.metrics.export.influx.uri={influxbb-server-url}` property to alter the default location.
++
+You can connect to the InfluxDB and explore the measurements
++
+[source,bash]
+----
+docker exec -it influxdb /bin/bash
+root:/# influx
+> show databases
+> use myinfluxdb
+> show measurements
+> select * from spring_integration_send limit 10
+----
+
++
+. Configure Grafana
++
+* Open Grafana UI (http://localhost:3000) and log-in (user: `admin`, password: `admin`).
+* Create InfluxDB datasource called: `influx_auto_DataFlowMetricsCollector` that connects to our `myinfluxdb` influx database.
++
+[.left]
+image::grafana-influxdb-datasource.png[InfluxDB DataSource]
++
+.DataSource Properties
+[height="50%", width="60%",options=""]
+|====================
+| Name | influx_auto_DataFlowMetricsCollector
+| Type | InfluxDB
+| Host | http://localhost:8086
+| Access | Browser
+| Database | myinfluxdb
+| User (DB) | admin
+| Password (DB) | admin
+|====================
++
+NOTE: For previous `Grafana 4.x` set the `Access` property to `direct` instead.
++
+* Import the link:micrometer/influx/scdf-influxdb-dashboard.json[scdf-influxdb-dashboard.json] dashboard
++
+image::grafana-influx-dashboard.png[]
+
+==== Summary
+
+In this sample, you have learned:
+
+* How to use Spring Cloud Data Flow's `Local` server
+* How to use Spring Cloud Data Flow's `shell` application
+* How to use `InfluxDB` and `Grafana` to monitor and visualize Spring Cloud Stream application metrics.
diff --git a/src/main/asciidoc/micrometer/influx/scdf-influxdb-dashboard.json b/src/main/asciidoc/micrometer/influx/scdf-influxdb-dashboard.json
new file mode 100644
index 0000000..ddf47b5
--- /dev/null
+++ b/src/main/asciidoc/micrometer/influx/scdf-influxdb-dashboard.json
@@ -0,0 +1,1688 @@
+{
+ "__inputs": [
+ {
+ "name": "DS_INFLUX_AUTO_DATAFLOWMETRICSCOLLECTOR",
+ "label": "influx_auto_DataFlowMetricsCollector",
+ "description": "",
+ "type": "datasource",
+ "pluginId": "influxdb",
+ "pluginName": "InfluxDB"
+ }
+ ],
+ "__requires": [
+ {
+ "type": "grafana",
+ "id": "grafana",
+ "name": "Grafana",
+ "version": "5.1.0"
+ },
+ {
+ "type": "panel",
+ "id": "graph",
+ "name": "Graph",
+ "version": "5.0.0"
+ },
+ {
+ "type": "datasource",
+ "id": "influxdb",
+ "name": "InfluxDB",
+ "version": "5.0.0"
+ }
+ ],
+ "annotations": {
+ "list": [
+ {
+ "builtIn": 1,
+ "datasource": "-- Grafana --",
+ "enable": true,
+ "hide": true,
+ "iconColor": "rgba(0, 211, 255, 1)",
+ "name": "Annotations & Alerts",
+ "type": "dashboard"
+ }
+ ]
+ },
+ "editable": true,
+ "gnetId": null,
+ "graphTooltip": 0,
+ "id": null,
+ "iteration": 1525333319927,
+ "links": [
+ {
+ "icon": "external link",
+ "tags": [],
+ "type": "dashboards"
+ }
+ ],
+ "panels": [
+ {
+ "collapsed": false,
+ "gridPos": {
+ "h": 1,
+ "w": 24,
+ "x": 0,
+ "y": 0
+ },
+ "id": 11,
+ "panels": [],
+ "repeat": null,
+ "title": "Input Channel",
+ "type": "row"
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "${DS_INFLUX_AUTO_DATAFLOWMETRICSCOLLECTOR}",
+ "fill": 1,
+ "gridPos": {
+ "h": 7,
+ "w": 12,
+ "x": 0,
+ "y": 1
+ },
+ "id": 3,
+ "legend": {
+ "avg": false,
+ "current": false,
+ "max": false,
+ "min": false,
+ "show": true,
+ "total": false,
+ "values": false
+ },
+ "lines": true,
+ "linewidth": 1,
+ "links": [],
+ "nullPointMode": "null",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
+ "application_name"
+ ],
+ "type": "tag"
+ },
+ {
+ "params": [
+ "result"
+ ],
+ "type": "tag"
+ },
+ {
+ "params": [
+ "application_name"
+ ],
+ "type": "tag"
+ }
+ ],
+ "measurement": "spring_integration_send",
+ "orderByTime": "ASC",
+ "policy": "default",
+ "refId": "A",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
+ "params": [
+ "count"
+ ],
+ "type": "field"
+ }
+ ]
+ ],
+ "tags": [
+ {
+ "key": "stream_name",
+ "operator": "=~",
+ "value": "/^$stream$/"
+ },
+ {
+ "condition": "AND",
+ "key": "type",
+ "operator": "=",
+ "value": "channel"
+ },
+ {
+ "condition": "AND",
+ "key": "name",
+ "operator": "=",
+ "value": "input"
+ },
+ {
+ "condition": "AND",
+ "key": "application_name",
+ "operator": "=~",
+ "value": "/^$application$/"
+ }
+ ]
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "Input Channel Throughput",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "opm",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ }
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+ },
+ "id": 9,
+ "legend": {
+ "alignAsTable": true,
+ "avg": true,
+ "current": true,
+ "max": true,
+ "min": true,
+ "rightSide": false,
+ "show": true,
+ "total": false,
+ "values": true
+ },
+ "lines": true,
+ "linewidth": 1,
+ "links": [],
+ "nullPointMode": "null",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "dsType": "influxdb",
+ "groupBy": [],
+ "measurement": "process_cpu_usage",
+ "orderByTime": "ASC",
+ "policy": "default",
+ "refId": "A",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
+ "params": [
+ "value"
+ ],
+ "type": "field"
+ },
+ {
+ "params": [
+ " * 100"
+ ],
+ "type": "math"
+ }
+ ]
+ ],
+ "tags": []
+ },
+ {
+ "dsType": "influxdb",
+ "groupBy": [],
+ "measurement": "system_cpu_usage",
+ "orderByTime": "ASC",
+ "policy": "default",
+ "refId": "B",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
+ "params": [
+ "value"
+ ],
+ "type": "field"
+ },
+ {
+ "params": [
+ " * 100"
+ ],
+ "type": "math"
+ }
+ ]
+ ],
+ "tags": []
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "CPU",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "percent",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ }
+ ],
+ "yaxis": {
+ "align": false,
+ "alignLevel": null
+ }
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "${DS_INFLUX_AUTO_DATAFLOWMETRICSCOLLECTOR}",
+ "fill": 1,
+ "gridPos": {
+ "h": 7,
+ "w": 12,
+ "x": 12,
+ "y": 33
+ },
+ "id": 10,
+ "legend": {
+ "alignAsTable": true,
+ "avg": false,
+ "current": true,
+ "max": true,
+ "min": true,
+ "show": true,
+ "total": false,
+ "values": true
+ },
+ "lines": true,
+ "linewidth": 1,
+ "links": [],
+ "nullPointMode": "null",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
+ "1m"
+ ],
+ "type": "time"
+ },
+ {
+ "params": [
+ "stream_name"
+ ],
+ "type": "tag"
+ },
+ {
+ "params": [
+ "application_name"
+ ],
+ "type": "tag"
+ }
+ ],
+ "measurement": "jvm_memory_used",
+ "orderByTime": "ASC",
+ "policy": "default",
+ "refId": "A",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
+ "params": [
+ "value"
+ ],
+ "type": "field"
+ },
+ {
+ "params": [],
+ "type": "mean"
+ }
+ ]
+ ],
+ "tags": [
+ {
+ "key": "stream_name",
+ "operator": "=~",
+ "value": "/^$stream$/"
+ },
+ {
+ "condition": "AND",
+ "key": "application_name",
+ "operator": "=~",
+ "value": "/^$application$/"
+ }
+ ]
+ },
+ {
+ "dsType": "influxdb",
+ "groupBy": [
+ {
+ "params": [
+ "1m"
+ ],
+ "type": "time"
+ },
+ {
+ "params": [
+ "stream_name"
+ ],
+ "type": "tag"
+ },
+ {
+ "params": [
+ "application_name"
+ ],
+ "type": "tag"
+ }
+ ],
+ "hide": false,
+ "measurement": "jvm_memory_max",
+ "orderByTime": "ASC",
+ "policy": "default",
+ "refId": "B",
+ "resultFormat": "time_series",
+ "select": [
+ [
+ {
+ "params": [
+ "value"
+ ],
+ "type": "field"
+ },
+ {
+ "params": [],
+ "type": "mean"
+ }
+ ]
+ ],
+ "tags": [
+ {
+ "key": "stream_name",
+ "operator": "=~",
+ "value": "/^$stream$/"
+ },
+ {
+ "condition": "AND",
+ "key": "application_name",
+ "operator": "=~",
+ "value": "/^$application$/"
+ }
+ ]
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "JVM Memory",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "decbytes",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ }
+ ],
+ "yaxis": {
+ "align": false,
+ "alignLevel": null
+ }
+ }
+ ],
+ "schemaVersion": 16,
+ "style": "dark",
+ "tags": [],
+ "templating": {
+ "list": [
+ {
+ "allValue": null,
+ "current": {},
+ "datasource": "${DS_INFLUX_AUTO_DATAFLOWMETRICSCOLLECTOR}",
+ "hide": 0,
+ "includeAll": false,
+ "label": "Stream",
+ "multi": false,
+ "name": "stream",
+ "options": [],
+ "query": "show tag values with key=\"stream_name\"",
+ "refresh": 2,
+ "regex": "",
+ "sort": 0,
+ "tagValuesQuery": "",
+ "tags": [],
+ "tagsQuery": "",
+ "type": "query",
+ "useTags": false
+ },
+ {
+ "allValue": null,
+ "current": {},
+ "datasource": "${DS_INFLUX_AUTO_DATAFLOWMETRICSCOLLECTOR}",
+ "hide": 0,
+ "includeAll": false,
+ "label": "application",
+ "multi": true,
+ "name": "application",
+ "options": [],
+ "query": "show tag values with key=\"application_name\" WHERE stream_name='$stream'",
+ "refresh": 1,
+ "regex": "",
+ "sort": 0,
+ "tagValuesQuery": "show tag values with key=\"application_name\" WHERE stream='$stream' AND stream_type = '$tag'",
+ "tags": [],
+ "tagsQuery": "show tag values with key = \"stream_type\"",
+ "type": "query",
+ "useTags": false
+ },
+ {
+ "allValue": null,
+ "current": {},
+ "datasource": "${DS_INFLUX_AUTO_DATAFLOWMETRICSCOLLECTOR}",
+ "hide": 0,
+ "includeAll": false,
+ "label": "ApplicationId",
+ "multi": false,
+ "name": "application_id",
+ "options": [],
+ "query": "show tag values from \"spring_integration_send\" with key = \"application_guid\" WHERE stream_name = '$stream'",
+ "refresh": 2,
+ "regex": "",
+ "sort": 0,
+ "tagValuesQuery": "show tag values with key = \"application_guid\" WHERE stream_name = '$stream' and application_name = '$tag'",
+ "tags": [
+ "log2",
+ "time2"
+ ],
+ "tagsQuery": "show tag values with key=\"application_name\" WHERE stream_name='$stream'",
+ "type": "query",
+ "useTags": true
+ }
+ ]
+ },
+ "time": {
+ "from": "now-15m",
+ "to": "now"
+ },
+ "timepicker": {
+ "refresh_intervals": [
+ "5s",
+ "10s",
+ "30s",
+ "1m",
+ "5m",
+ "15m",
+ "30m",
+ "1h",
+ "2h",
+ "1d"
+ ],
+ "time_options": [
+ "5m",
+ "15m",
+ "1h",
+ "6h",
+ "12h",
+ "24h",
+ "2d",
+ "7d",
+ "30d"
+ ]
+ },
+ "timezone": "",
+ "title": "scdf-influxdb-dashboard",
+ "uid": "QvcTSLGik",
+ "version": 1
+}
diff --git a/src/main/asciidoc/micrometer/prometheus/main.adoc b/src/main/asciidoc/micrometer/prometheus/main.adoc
new file mode 100644
index 0000000..d247b05
--- /dev/null
+++ b/src/main/asciidoc/micrometer/prometheus/main.adoc
@@ -0,0 +1,171 @@
+[[spring-cloud-data-flow-samples-micrometer-prometheus-overview]]
+:sectnums:
+:docs_dir: ../..
+
+=== SCDF metrics with Prometheus and Grafana
+
+In this demonstration, you will learn how http://micrometer.io[Micrometer] can help to monitor your http://cloud.spring.io/spring-cloud-dataflow/[Spring Cloud Data Flow] Streams using http://prometheus.io[Prometheus] and https://grafana.com/grafana[Grafana].
+
+Prometheus is time series database used for monitoring of highly dynamic service-oriented architectures. In a world of microservices, its support for multi-dimensional data collection and querying is a particular strength.
+
+https://grafana.com/grafana[Grafana] is open source metrics Dashboard platform. It supports multiple backend time-series databases including Prometheus.
+
+The architecture (Fig.1) builds on the https://docs.spring.io/spring-boot/docs/2.0.1.RELEASE/reference/htmlsingle/#production-ready-metrics-getting-started[Spring Boot Micrometer] functionality. When a http://micrometer.io/docs/registry/prometheus[micrometer-registry-prometheus] dependency is found on the classpath the Spring Boot auto-configures the metrics export for `Prometheus`.
+
+The https://cloud.spring.io/spring-cloud-stream-app-starters/[Spring Cloud Stream] (SCSt) applications inherit the mircometer functionality, allowing them to compute and send various application metrics to the configured time-series database.
+
+image::scdf-micrometer-prometheus-grafana-architecture.png[title="SCDF metrics analyzis with Prometheus and Grafana"]
+
+Out of the box, SCSt sends https://docs.spring.io/spring-boot/docs/2.0.1.RELEASE/reference/htmlsingle/#production-ready-metrics-meter[core metrics] such as `CPU`, `Memory`, `MVC` and `Health` to name some. Among those the https://docs.spring.io/spring-integration/docs/current/reference/html/system-management-chapter.html#micrometer-integration[Spring Integration metrics] allows computing the `Rate` and the `Latency` of the messages in the SCDF streams.
+
+NOTE: Unlike Spring Cloud Data Flow Metrics Collector, metrics here are sent synchronously over HTTP not through a Binder channel topic.
+
+All Spring Cloud Stream App Starers enrich the standard http://micrometer.io/docs/concepts#_supported_monitoring_systems[dimensional tags] with the following SCDF specific tags:
+[width="100%",options="header"]
+|====================
+| tag name | SCDF property | default value
+| stream.name | spring.cloud.dataflow.stream.name | unknown
+| application.name | spring.cloud.dataflow.stream.app.label | unknown
+| instance.index | instance.index | 0
+| application.guid | spring.cloud.application.guid | unknown
+| application.gype | spring.cloud.dataflow.stream.app.type | unknown
+|====================
+
+NOTE: For custom app starters that don't extend from the https://github.com/spring-cloud-stream-app-starters/core[core] parent, you should add the `app-starters-common` : `org.springframework.cloud.stream.app` dependency to enable the SCDF tags.
+
+Prometheus employs the pull-metrics model, called metrics scraping. Spring Boot provides an actuator endpoint available at `/actuator/prometheus` to present a Prometheus scrape with the appropriate format.
+
+Furthermore Prometheus requires a mechanism to discover the target applications to be monitored (e.g. the URLs of the SCSt app instances). Targets may be statically configured via the `static_configs` parameter or dynamically discovered using one of the supported service-discovery mechanisms.
+
+The https://github.com/tzolov/spring-cloud-dataflow-prometheus-service-discovery[SCDF Prometheus Service Discovery] is a standalone (Spring Boot) service, that uses the https://goo.gl/kE4eLV[runtime/apps] endpoint to retrieve the URLs of the running SCDF applications and generate `targets.json` file. The targets.json file is compliant with the https://prometheus.io/docs/prometheus/latest/configuration/configuration/#%3Cfile_sd_config%3E[] Prometheus discovery format.
+
+Below we will present the steps to prepare, configure the demo of Spring Cloud Data Flow's `Local` server integration with `Prometheus`. For other deployment environment, such as `Cloud Foundry` or `Kubernetes`, additional configurations might be required.
+
+==== Prerequisites
+
+* A Running Data Flow Shell
+include::{docs_dir}/shell.adoc[]
+* A running local Data Flow Server
+include::{docs_dir}/local-server.adoc[]
+* Running instance of link:http://kafka.apache.org/downloads.html[Kafka]
+* Spring Cloud Stream 2.x based https://github.com/spring-cloud-stream-app-starters/time/blob/master/spring-cloud-starter-stream-source-time/README.adoc[Time] and https://github.com/spring-cloud-stream-app-starters/log/blob/master/spring-cloud-starter-stream-sink-log/README.adoc[Log] applications starters, pre-built with `io.micrometer:micrometer-registry-prometheus` dependency.
++
+NOTE: Next versions of the https://start-scs.cfapps.io/[SCSt App Initializr] utility would add support for Micrometer dependencies to facilitate the injection of micrometer-registries with SCSt apps.
+
+==== Building and Running the Demo
+
+. Register `time` and `log` applications that are pre-built with `io.micrometer:micrometer-registry-prometheus`. The next version of https://start-scs.cfapps.io/[SCSt App Initializr] allows adding Micrometer registry dependencies as well.
++
+```bash
+app register --name time2 --type source --uri file:///time-source-kafka-2.0.0.BUILD-SNAPSHOT.jar --metadata-uri file:///time-source-kafka-2.0.0.BUILD-SNAPSHOT-metadata.jar
+
+app register --name log2 --type sink --uri file:///log-sink-kafka-2.0.0.BUILD-SNAPSHOT.jar --metadata-uri file:///log-sink-kafka-2.0.0.BUILD-SNAPSHOT-metadata.jar
+```
++
+. Create and deploy the following stream
++
+```bash
+dataflow:>stream create --name t2 --definition "time2 | log2"
+
+dataflow:>stream deploy --name t2 --properties "app.*.management.endpoints.web.exposure.include=prometheus,app.*.spring.autoconfigure.exclude=org.springframework.boot.autoconfigure.security.servlet.SecurityAutoConfiguration"
+```
+The deployment properties make sure that the prometheus actuator is enabled and the Spring Boot security is disabled
++
+. Build and start the SCDF Prometheus Service Discovery application
++
+Build the spring-cloud-dataflow-prometheus-service-discover project form: https://github.com/spring-cloud/spring-cloud-dataflow-samples/micrometer/spring-cloud-dataflow-prometheus-service-discovery
++
+```bash
+cd ./spring-cloud-dataflow-samples/micrometer/spring-cloud-dataflow-prometheus-service-discovery
+./mvnw clean install
+```
+For convenience, the final https://github.com/spring-cloud/spring-cloud-dataflow-samples/raw/master/src/main/asciidoc/micrometer/prometheus/spring-cloud-dataflow-prometheus-service-discovery-0.0.1-SNAPSHOT.jar[spring-cloud-dataflow-prometheus-service-discovery-0.0.1-SNAPSHOT.jar] artifact is provided with this sample.
++
+Start the service discovery application:
++
+```bash
+java -jar ./target/spring-cloud-dataflow-prometheus-service-discovery-0.0.1-SNAPSHOT.jar \
+--metrics.prometheus.target.discovery.url=http://localhost:9393/runtime/apps \
+--metrics.prometheus.target.file.path=/tmp/targets.json \
+--metrics.prometheus.target.refresh.rate=10000 \
+--metrics.prometheus.target.mode=local
+```
++
+It will connect to the SCDF runtime url, and generates /tmp/targets.json files every 10 sec.
++
+. Create Prometheus configuration file (prometheus-local-file.yml)
++
+```yaml
+global:
+ scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
+ evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
+ # scrape_timeout is set to the global default (10s).
+
+# A scrape configuration containing exactly one endpoint to scrape:
+scrape_configs:
+ # The job name is added as a label `job=` to any timeseries scraped from this config.
+ - job_name: 'scdf'
+ metrics_path: '/actuator/prometheus'
+ file_sd_configs:
+ - files:
+ - targets.json
+ refresh_interval: 30s
+```
++
+Configure the file_sd_config discovery mechanism using the generated targets.json:
++
+. Start Prometheus
++
+```bash
+docker run -d --name prometheus \
+ -p 9090:9090 \
+ -v /prometheus-local-file.yml:/etc/prometheus/prometheus.yml \
+ -v /tmp/targets.json:/etc/prometheus/targets.json \
+ prom/prometheus:v2.2.1
+```
++
+Pass the prometheus.yml and map the /tmp/targets.json into /etc/prometheus/targets.json
++
+Use the management UI: http://localhost:9090/graph to verify that SCDF apps metrics have been collected:
++
+```
+# Throughput
+rate(spring_integration_send_seconds_count{type="channel"}[60s])
+
+# Latency
+rate(spring_integration_send_seconds_sum{type="channel"}[60s])/rate(spring_integration_send_seconds_count{type="channel"}[60s])
+```
++
+. Start Grafana Docker containers
++
+```bash
+docker run -d --name grafana -p 3000:3000 grafana/grafana:5.1.0
+```
++
+. Configure Grafana
++
+* Open Grafana UI (http://localhost:3000) and log-in (user: `admin`, password: `admin`).
+* Create Prometheus datasource called: `ScdfPrometheus`
++
+.DataSource Properties
+[width="60%",options=""]
+|====================
+| Name | ScdfPrometheus
+| Type | Prometheus
+| Host | http://localhost:9090
+| Access | Browser
+|====================
++
+NOTE: For previous `Grafana 4.x` set the `Access` property to `direct` instead.
++
+* Import the link:micrometer/prometheus/scdf-prometheus-grafana-dashboard.json[scdf-prometheus-grafana-dashboard.json] dashboard
++
+image::grafana-prometheus-dashboard.png[]
+
+==== Summary
+
+In this sample, you have learned:
+
+* How to use Spring Cloud Data Flow's `Local` server
+* How to use Spring Cloud Data Flow's `shell` application
+* How to use `Prometheus` and `Grafana` to monitor and visualize Spring Cloud Stream application metrics.
diff --git a/src/main/asciidoc/micrometer/prometheus/scdf-prometheus-grafana-dashboard.json b/src/main/asciidoc/micrometer/prometheus/scdf-prometheus-grafana-dashboard.json
new file mode 100644
index 0000000..9317e42
--- /dev/null
+++ b/src/main/asciidoc/micrometer/prometheus/scdf-prometheus-grafana-dashboard.json
@@ -0,0 +1,718 @@
+
+{
+ "annotations": {
+ "list": [
+ {
+ "builtIn": 1,
+ "datasource": "-- Grafana --",
+ "enable": true,
+ "hide": true,
+ "iconColor": "rgba(0, 211, 255, 1)",
+ "name": "Annotations & Alerts",
+ "type": "dashboard"
+ }
+ ]
+ },
+ "editable": true,
+ "gnetId": null,
+ "graphTooltip": 0,
+ "hideControls": false,
+ "id": 2,
+ "links": [
+ {
+ "icon": "external link",
+ "tags": [],
+ "type": "dashboards"
+ }
+ ],
+ "refresh": "10s",
+ "rows": [
+ {
+ "collapse": false,
+ "height": 282,
+ "panels": [
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "ScdfPrometheus",
+ "fill": 1,
+ "id": 1,
+ "legend": {
+ "avg": false,
+ "current": false,
+ "max": false,
+ "min": false,
+ "show": true,
+ "total": false,
+ "values": false
+ },
+ "lines": true,
+ "linewidth": 1,
+ "links": [],
+ "nullPointMode": "null",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "span": 6,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "expr": "rate(spring_integration_send_seconds_sum{type=\"channel\",name!=\"errorChannel\",name!=\"nullChannel\",result=\"success\",stream_name=\"$stream_name\",application_name=~\"$application_name\",application_guid=~\"$application_guid\"}[60s])/rate(spring_integration_send_seconds_count{type=\"channel\",name!=\"errorChannel\",name!=\"nullChannel\",result=\"success\",stream_name=\"$stream_name\",application_name=~\"$application_name\"}[60s])",
+ "format": "time_series",
+ "instant": false,
+ "intervalFactor": 2,
+ "legendFormat": "",
+ "refId": "A"
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "Channel Latency",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "s",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ }
+ ]
+ },
+ {
+ "aliasColors": {},
+ "bars": false,
+ "dashLength": 10,
+ "dashes": false,
+ "datasource": "ScdfPrometheus",
+ "fill": 1,
+ "id": 2,
+ "legend": {
+ "avg": false,
+ "current": false,
+ "max": false,
+ "min": false,
+ "show": true,
+ "total": false,
+ "values": false
+ },
+ "lines": true,
+ "linewidth": 1,
+ "links": [],
+ "nullPointMode": "null",
+ "percentage": false,
+ "pointradius": 5,
+ "points": false,
+ "renderer": "flot",
+ "seriesOverrides": [],
+ "spaceLength": 10,
+ "span": 6,
+ "stack": false,
+ "steppedLine": false,
+ "targets": [
+ {
+ "expr": "rate(spring_integration_send_seconds_count{type=\"channel\",name!=\"errorChannel\",name!=\"nullChannel\",result=\"success\",stream_name=~\"$stream_name\",application_name=~\"$application_name\",application_guid=~\"$application_guid\"}[60s])",
+ "format": "time_series",
+ "intervalFactor": 2,
+ "refId": "A"
+ }
+ ],
+ "thresholds": [],
+ "timeFrom": null,
+ "timeShift": null,
+ "title": "Channel Throughput",
+ "tooltip": {
+ "shared": true,
+ "sort": 0,
+ "value_type": "individual"
+ },
+ "type": "graph",
+ "xaxis": {
+ "buckets": null,
+ "mode": "time",
+ "name": null,
+ "show": true,
+ "values": []
+ },
+ "yaxes": [
+ {
+ "format": "ops",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ },
+ {
+ "format": "short",
+ "label": null,
+ "logBase": 1,
+ "max": null,
+ "min": null,
+ "show": true
+ }
+ ]
+ }
+ ],
+ "repeat": null,
+ "repeatIteration": null,
+ "repeatRowId": null,
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+ }
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+ "refresh": 2,
+ "regex": "",
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+ "tags": [],
+ "tagsQuery": "",
+ "type": "query",
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+ },
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+ "current": {
+ "text": "time2 + log2",
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+ "time2",
+ "log2"
+ ]
+ },
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+ "includeAll": true,
+ "label": "Application",
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+ "name": "application_name",
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+ "query": "label_values({stream_name=\"$stream_name\"},application_name)",
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+ },
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+ "sort": 0,
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+ "time2",
+ "log2"
+ ],
+ "tagsQuery": "label_values({stream_name=~\"$stream_name\"},application_name)",
+ "type": "query",
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+ }
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+ },
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+ "from": "now-15m",
+ "to": "now"
+ },
+ "timepicker": {
+ "refresh_intervals": [
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+ "10s",
+ "30s",
+ "1m",
+ "5m",
+ "15m",
+ "30m",
+ "1h",
+ "2h",
+ "1d"
+ ],
+ "time_options": [
+ "5m",
+ "15m",
+ "1h",
+ "6h",
+ "12h",
+ "24h",
+ "2d",
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+ "30d"
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+}
diff --git a/src/main/asciidoc/micrometer/prometheus/spring-cloud-dataflow-prometheus-service-discovery-0.0.1-SNAPSHOT.jar b/src/main/asciidoc/micrometer/prometheus/spring-cloud-dataflow-prometheus-service-discovery-0.0.1-SNAPSHOT.jar
new file mode 100644
index 0000000..3b8216f
Binary files /dev/null and b/src/main/asciidoc/micrometer/prometheus/spring-cloud-dataflow-prometheus-service-discovery-0.0.1-SNAPSHOT.jar differ
diff --git a/src/main/asciidoc/overview.adoc b/src/main/asciidoc/overview.adoc
index a4e5f11..018d5c1 100644
--- a/src/main/asciidoc/overview.adoc
+++ b/src/main/asciidoc/overview.adoc
@@ -28,3 +28,7 @@ include::datascience/species-prediction/main.adoc[]
== Functions
include::functions/main.adoc[]
+
+== Micrometer
+include::micrometer/influx/main.adoc[]
+include::micrometer/prometheus/main.adoc[]