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padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Advanced Guides</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Monitoring DataHub</span><meta itemprop="position" content="2"></li></ul></nav><span class="theme-doc-version-badge badge badge--secondary">Version: Next</span><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><h1>Monitoring DataHub</h1><p>Monitoring DataHub's system components is critical for operating and improving DataHub. This doc explains how to add
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tracing and metrics measurements in the DataHub containers.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="tracing">Tracing<a href="#tracing" class="hash-link" aria-label="Direct link to Tracing" title="Direct link to Tracing"></a></h2><p>Traces let us track the life of a request across multiple components. Each trace is consisted of multiple spans, which
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are units of work, containing various context about the work being done as well as time taken to finish the work. By
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looking at the trace, we can more easily identify performance bottlenecks.</p><p>We enable tracing by using the <a href="https://github.com/open-telemetry/opentelemetry-java-instrumentation" target="_blank" rel="noopener noreferrer">OpenTelemetry java instrumentation library</a>.
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This project provides a Java agent JAR that is attached to java applications. The agent injects bytecode to capture
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telemetry from popular libraries.</p><p>Using the agent we are able to</p><ol><li>Plug and play different tracing tools based on the user's setup: Jaeger, Zipkin, or other tools</li><li>Get traces for Kafka, JDBC, and Elasticsearch without any additional code</li><li>Track traces of any function with a simple <code>@WithSpan</code> annotation</li></ol><p>You can enable the agent by setting env variable <code>ENABLE_OTEL</code> to <code>true</code> for GMS and MAE/MCE consumers. In our
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example <a href="https://github.com/datahub-project/datahub/blob/master/docker/monitoring/docker-compose.monitoring.yml" target="_blank" rel="noopener noreferrer">docker-compose</a>, we export metrics to a local Jaeger
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instance by setting env variable <code>OTEL_TRACES_EXPORTER</code> to <code>jaeger</code>
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and <code>OTEL_EXPORTER_JAEGER_ENDPOINT</code> to <code>http://jaeger-all-in-one:14250</code>, but you can easily change this behavior by
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setting the correct env variables. Refer to
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this <a href="https://github.com/open-telemetry/opentelemetry-java/blob/main/sdk-extensions/autoconfigure/README.md" target="_blank" rel="noopener noreferrer">doc</a> for
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all configs.</p><p>Once the above is set up, you should be able to see a detailed trace as a request is sent to GMS. We added
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the <code>@WithSpan</code> annotation in various places to make the trace more readable. You should start to see traces in the
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tracing collector of choice. Our example <a href="https://github.com/datahub-project/datahub/blob/master/docker/monitoring/docker-compose.monitoring.yml" target="_blank" rel="noopener noreferrer">docker-compose</a> deploys
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an instance of Jaeger with port 16686. The traces should be available at http://localhost:16686.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="configuration-note">Configuration Note<a href="#configuration-note" class="hash-link" aria-label="Direct link to Configuration Note" title="Direct link to Configuration Note"></a></h3><p>We recommend using either <code>grpc</code> or <code>http/protobuf</code>, configured using <code>OTEL_EXPORTER_OTLP_PROTOCOL</code>. Avoid using <code>http</code> will not work as expected due to the size of
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the generated spans.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="metrics">Metrics<a href="#metrics" class="hash-link" aria-label="Direct link to Metrics" title="Direct link to Metrics"></a></h2><p>With tracing, we can observe how a request flows through our system into the persistence layer. However, for a more
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holistic picture, we need to be able to export metrics and measure them across time. Unfortunately, OpenTelemetry's java
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metrics library is still in active development.</p><p>As such, we decided to use <a href="https://metrics.dropwizard.io/4.2.0/" target="_blank" rel="noopener noreferrer">Dropwizard Metrics</a> to export custom metrics to JMX,
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and then use <a href="https://github.com/prometheus/jmx_exporter" target="_blank" rel="noopener noreferrer">Prometheus-JMX exporter</a> to export all JMX metrics to
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Prometheus. This allows our code base to be independent of the metrics collection tool, making it easy for people to use
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their tool of choice. You can enable the agent by setting env variable <code>ENABLE_PROMETHEUS</code> to <code>true</code> for GMS and MAE/MCE
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consumers. Refer to this example <a href="https://github.com/datahub-project/datahub/blob/master/docker/monitoring/docker-compose.monitoring.yml" target="_blank" rel="noopener noreferrer">docker-compose</a> for setting the
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variables.</p><p>In our example <a href="https://github.com/datahub-project/datahub/blob/master/docker/monitoring/docker-compose.monitoring.yml" target="_blank" rel="noopener noreferrer">docker-compose</a>, we have configured prometheus to
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scrape from 4318 ports of each container used by the JMX exporter to export metrics. We also configured grafana to
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listen to prometheus and create useful dashboards. By default, we provide two
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dashboards: <a href="https://grafana.com/grafana/dashboards/14845" target="_blank" rel="noopener noreferrer">JVM dashboard</a> and DataHub dashboard.</p><p>In the JVM dashboard, you can find detailed charts based on JVM metrics like CPU/memory/disk usage. In the DataHub
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dashboard, you can find charts to monitor each endpoint and the kafka topics. Using the example implementation, go
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to http://localhost:3001 to find the grafana dashboards! (Username: admin, PW: admin)</p><p>To make it easy to track various metrics within the code base, we created MetricUtils class. This util class creates a
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||
central metric registry, sets up the JMX reporter, and provides convenient functions for setting up counters and timers.
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||
You can run the following to create a counter and increment.</p><div class="language-java codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-java codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token class-name" style="color:rgb(255, 203, 107)">MetricUtils</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token function" style="color:rgb(130, 170, 255)">counter</span><span class="token punctuation" style="color:rgb(199, 146, 234)">(</span><span class="token keyword" style="font-style:italic">this</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token function" style="color:rgb(130, 170, 255)">getClass</span><span class="token punctuation" style="color:rgb(199, 146, 234)">(</span><span class="token punctuation" style="color:rgb(199, 146, 234)">)</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token string" style="color:rgb(195, 232, 141)">"metricName"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">)</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token function" style="color:rgb(130, 170, 255)">increment</span><span class="token punctuation" style="color:rgb(199, 146, 234)">(</span><span class="token punctuation" style="color:rgb(199, 146, 234)">)</span><span class="token punctuation" style="color:rgb(199, 146, 234)">;</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>You can run the following to time a block of code.</p><div class="language-java codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-java codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token keyword" style="font-style:italic">try</span><span class="token punctuation" style="color:rgb(199, 146, 234)">(</span><span class="token class-name" style="color:rgb(255, 203, 107)">Timer</span><span class="token class-name punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token class-name" style="color:rgb(255, 203, 107)">Context</span><span class="token plain"> ignored</span><span class="token operator" style="color:rgb(137, 221, 255)">=</span><span class="token class-name" style="color:rgb(255, 203, 107)">MetricUtils</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token function" style="color:rgb(130, 170, 255)">timer</span><span class="token punctuation" style="color:rgb(199, 146, 234)">(</span><span class="token keyword" style="font-style:italic">this</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token function" style="color:rgb(130, 170, 255)">getClass</span><span class="token punctuation" style="color:rgb(199, 146, 234)">(</span><span class="token punctuation" style="color:rgb(199, 146, 234)">)</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token string" style="color:rgb(195, 232, 141)">"timerName"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">)</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token function" style="color:rgb(130, 170, 255)">timer</span><span class="token punctuation" style="color:rgb(199, 146, 234)">(</span><span class="token punctuation" style="color:rgb(199, 146, 234)">)</span><span class="token punctuation" style="color:rgb(199, 146, 234)">)</span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token punctuation" style="color:rgb(199, 146, 234)">.</span><span class="token plain">block of code</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="enable-monitoring-through-docker-compose">Enable monitoring through docker-compose<a href="#enable-monitoring-through-docker-compose" class="hash-link" aria-label="Direct link to Enable monitoring through docker-compose" title="Direct link to Enable monitoring through docker-compose"></a></h2><p>We provide some example configuration for enabling monitoring in
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||
this <a href="https://github.com/datahub-project/datahub/tree/master/docker/monitoring" target="_blank" rel="noopener noreferrer">directory</a>. Take a look at the docker-compose
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||
files, which adds necessary env variables to existing containers, and spawns new containers (Jaeger, Prometheus,
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Grafana).</p><p>You can add in the above docker-compose using the <code>-f <<path-to-compose-file>></code> when running docker-compose commands.
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For instance,</p><div class="language-shell codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-shell codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token function" style="color:rgb(130, 170, 255)">docker-compose</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">\</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> -f quickstart/docker-compose.quickstart.yml </span><span class="token punctuation" style="color:rgb(199, 146, 234)">\</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> -f monitoring/docker-compose.monitoring.yml </span><span class="token punctuation" style="color:rgb(199, 146, 234)">\</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> pull </span><span class="token operator" style="color:rgb(137, 221, 255)">&&</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">\</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token function" style="color:rgb(130, 170, 255)">docker-compose</span><span class="token plain"> -p datahub </span><span class="token punctuation" style="color:rgb(199, 146, 234)">\</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> -f quickstart/docker-compose.quickstart.yml </span><span class="token punctuation" style="color:rgb(199, 146, 234)">\</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> -f monitoring/docker-compose.monitoring.yml </span><span class="token punctuation" style="color:rgb(199, 146, 234)">\</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> up</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>We set up quickstart.sh, dev.sh, and dev-without-neo4j.sh to add the above docker-compose when MONITORING=true. For
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instance <code>MONITORING=true ./docker/quickstart.sh</code> will add the correct env variables to start collecting traces and
|
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metrics, and also deploy Jaeger, Prometheus, and Grafana. We will soon support this as a flag during quickstart.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="health-check-endpoint">Health check endpoint<a href="#health-check-endpoint" class="hash-link" aria-label="Direct link to Health check endpoint" title="Direct link to Health check endpoint"></a></h2><p>For monitoring healthiness of your DataHub service, <code>/admin</code> endpoint can be used.</p></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="slackUtm_uoBr"><div class="slackUtm_uoBr"><hr>Need more help? 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