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Adjusted timezone messaging
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docs/use-cases/observability/clickstack/integration-examples/kafka-metrics.md

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@@ -256,8 +256,8 @@ Once loaded, the quickest way to see your metrics is through the pre-built dashb
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Proceed to the [Dashboards and visualization](#dashboards) section to import the dashboard and view all Kafka metrics at once.
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:::note
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The demo dataset time range is 2025-11-05 16:00:00 to 2025-11-06 16:00:00. Make sure your time range in HyperDX matches this window.
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:::note[Timezone Display]
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HyperDX displays timestamps in your browser's local timezone. The demo data spans **2025-11-05 16:00:00 - 2025-11-06 16:00:00 (UTC)**. Set your time range to **2025-11-04 16:00:00 - 2025-11-07 16:00:00** to ensure you see the demo metrics regardless of your location. Once you see the metrics, you can narrow the range to a 24-hour period for clearer visualizations.
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</VerticalStepper>
@@ -288,7 +288,7 @@ The dashboard will be created with all visualizations pre-configured:
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<Image img={example_dashboard} alt="Kafka Metrics dashboard"/>
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:::note
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For the demo dataset, ensure the time range is set to 2025-11-05 16:00:00 to 2025-11-06 16:00:00.
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For the demo dataset, set the time range to **2025-11-05 16:00:00 - 2025-11-06 16:00:00 (UTC)** (adjust based on your local timezone). The imported dashboard will not have a time range specified by default.
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</VerticalStepper>

docs/use-cases/observability/clickstack/integration-examples/nginx-logs.md

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@@ -250,14 +250,16 @@ docker run --name clickstack-demo \
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#### Verify logs in HyperDX {#verify-demo-logs}
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Once ClickStack is running (you may have to create an account and login first):
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Once ClickStack is running:
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1. Open [HyperDX with demo time range](http://localhost:8080/search?from=1760976000000&to=1761062400000&isLive=false&source=690235c1a9b7fc5a7c0fffc7&select=Timestamp,ServiceName,SeverityText,Body&where=&whereLanguage=lucene&filters=[]&orderBy=)
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1. Open [HyperDX](http://localhost:8080/) and log in to your account (you may need to create an account first)
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2. Navigate to the Search view and set the source to `Logs`
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3. Set the time range to **2025-10-19 11:00:00 - 2025-10-22 11:00:00**
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Here's what you should see in your search view:
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:::note
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If you don't see logs, ensure the time range is set to 2025-10-20 11:00:00 - 2025-10-21 11:00:00 and 'Logs' is selected as the source. Using the link is important to get the proper time range of results.
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:::note[Timezone Display]
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HyperDX displays timestamps in your browser's local timezone. The demo data spans 2025-10-20 11:00:00 - 2025-10-21 11:00:00 UTC. The wide time range ensures you'll see the demo logs regardless of your location. Once you see the logs, you can narrow the range to a 24-hour period for clearer visualizations.
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<Image img={search_view} alt="Log view"/>
@@ -287,7 +289,7 @@ To help you get started monitoring nginx with ClickStack, we provide essential v
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#### The dashboard will be created with all visualizations pre-configured {#created-dashboard}
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:::note
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Ensure the time range is set to 2025-10-20 11:00:00 - 2025-10-21 11:00:00. The imported dashboard will not have a time range specified by default.
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For the demo dataset, set the time range to **2025-10-20 11:00:00 - 2025-10-21 11:00:00 (UTC)** (adjust based on your local timezone). The imported dashboard will not have a time range specified by default.
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<Image img={example_dashboard} alt="Example Dashboard"/>

docs/use-cases/observability/clickstack/integration-examples/nginx-traces.md

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@@ -238,12 +238,14 @@ You should see a response like `{"partialSuccess":{}}` indicating the traces wer
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#### Verify traces in HyperDX {#verify-demo-traces}
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1. Open [HyperDX with demo time range](http://localhost:8080/search?from=1761501600000&to=1761588000000&isLive=false&source=69023d1b4f1d41a964641b09&where=&select=Timestamp,ServiceName,StatusCode,round(Duration/1e6),SpanName&whereLanguage=lucene&orderBy=&filters=[])
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1. Open [HyperDX](http://localhost:8080/) and log in to your account (you may need to create an account first)
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2. Navigate to the Search view and set the source to `Traces`
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3. Set the time range to **2025-10-25 13:00:00 - 2025-10-28 13:00:00**
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Here's what you should see in your search view:
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:::note
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If you don't see logs, ensure the time range is set to 2025-10-26 13:00:00 - 2025-10-27 13:00:00 and 'Logs' is selected as the source. Using the link is important to get the proper time range of results.
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:::note[Timezone Display]
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HyperDX displays timestamps in your browser's local timezone. The demo data spans **2025-10-26 13:00:00 - 2025-10-27 13:00:00 (UTC)**. The wide time range ensures you'll see the demo traces regardless of your location. Once you see the traces, you can narrow the range to a 24-hour period for clearer visualizations.
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<Image img={view_traces} alt="View Traces"/>
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#### The dashboard will be created with all visualizations pre-configured. {#created-dashboard}
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:::note
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Ensure the time range is set to 2025-10-26 13:00:00 - 2025-10-27 13:00:00. The imported dashboard will not have a time range specified by default.
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For the demo dataset, set the time range to **2025-10-26 13:00:00 - 2025-10-27 13:00:00 (UTC)** (adjust based on your local timezone). The imported dashboard will not have a time range specified by default.
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<Image img={example_dashboard} alt="Example Dashboard"/>

docs/use-cases/observability/clickstack/integration-examples/postgres-logs.md

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@@ -292,7 +292,11 @@ Once ClickStack is running:
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1. Open [HyperDX](http://localhost:8080/) and log in to your account (you may need to create an account first)
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2. Navigate to the Search view and set the source to `Logs`
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3. Set the time range to **2025-11-10 00:00:00 - 2025-11-11 00:00:00**
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3. Set the time range to **2025-11-09 00:00:00 - 2025-11-12 00:00:00**
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:::note[Timezone Display]
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HyperDX displays timestamps in your browser's local timezone. The demo data spans **2025-11-10 00:00:00 - 2025-11-11 00:00:00 (UTC)**. The wide time range ensures you'll see the demo logs regardless of your location. Once you see the logs, you can narrow the range to a 24-hour period for clearer visualizations.
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<Image img={logs_search_view} alt="Logs search view"/>
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<Image img={logs_dashboard} alt="Logs dashboard"/>
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:::note
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For the demo dataset, ensure the time range is set to 2025-11-10 00:00:00 - 2025-11-11 00:00:00. The imported dashboard will not have a time range specified by default.
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For the demo dataset, set the time range to **2025-11-10 00:00:00 - 2025-11-11 00:00:00 (UTC)** (adjust based on your local timezone). The imported dashboard will not have a time range specified by default.
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</VerticalStepper>

docs/use-cases/observability/clickstack/integration-examples/postgres-metrics.md

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@@ -186,8 +186,8 @@ Once loaded, the quickest way to see your metrics is through the pre-built dashb
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Proceed to the [Dashboards and visualization](#dashboards) section to import the dashboard and view many PostgreSQL metrics at once.
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:::note
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The demo dataset time range is November 10, 2025 00:00:00 to November 11, 2025 00:00:00. Make sure your time range in HyperDX matches this window.
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:::note[Timezone Display]
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HyperDX displays timestamps in your browser's local timezone. The demo data spans **2025-11-10 00:00:00 - 2025-11-11 00:00:00 (UTC)**. Set your time range to **2025-11-09 00:00:00 - 2025-11-12 00:00:00** to ensure you see the demo metrics regardless of your location. Once you see the metrics, you can narrow the range to a 24-hour period for clearer visualizations.
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</VerticalStepper>
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<Image img={example_dashboard} alt="PostgreSQL metrics dashboard"/>
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:::note
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For the demo dataset, ensure the time range is set to November 10, 2025 00:00:00 - November 11, 2025 00:00:00.
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For the demo dataset, set the time range to **2025-11-10 00:00:00 - 2025-11-11 00:00:00 (UTC)** (adjust based on your local timezone). The imported dashboard will not have a time range specified by default.
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</VerticalStepper>

docs/use-cases/observability/clickstack/integration-examples/redis-logs.md

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@@ -257,11 +257,12 @@ docker run --name clickstack-demo \
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Once ClickStack is running:
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1. Open [HyperDX](http://localhost:8080/) and log in to your account, you may need to create an account first.
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2. Once logged in, open this [link](http://localhost:8080/search?from=1761577200000&to=1761663600000&isLive=false&source=690280cfd3754c36b73402cc&where=&select=Timestamp,ServiceName,SeverityText,Body&whereLanguage=lucene&orderBy=&filters=[]). You should see what's pictured in the screenshots below.
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1. Open [HyperDX](http://localhost:8080/) and log in to your account (you may need to create an account first)
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2. Navigate to the Search view and set the source to `Logs`
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3. Set the time range to **2025-10-26 10:00:00 - 2025-10-29 10:00:00**
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:::note
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If you don't see logs, ensure the time range is set to 2025-10-27 10:00:00 - 2025-10-28 10:00:00 and 'Logs' is selected as the source. Using the link is important to get the proper time range of results.
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:::note[Timezone Display]
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HyperDX displays timestamps in your browser's local timezone. The demo data spans **2025-10-27 10:00:00 - 2025-10-28 10:00:00 (UTC)**. The wide time range ensures you'll see the demo logs regardless of your location. Once you see the logs, you can narrow the range to a 24-hour period for clearer visualizations.
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<Image img={log_view} alt="Log view"/>
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#### The dashboard will be created with all visualizations pre-configured {#created-dashboard}
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:::note
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Ensure the time range is set to 2025-10-27 10:00:00 - 2025-10-28 10:00:00. The imported dashboard will not have a time range specified by default.
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For the demo dataset, set the time range to **2025-10-27 10:00:00 - 2025-10-28 10:00:00 (UTC)** (adjust based on your local timezone). The imported dashboard will not have a time range specified by default.
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<Image img={example_dashboard} alt="Example Dashboard"/>

docs/use-cases/observability/clickstack/integration-examples/redis-metrics.md

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@@ -310,7 +310,7 @@ The dashboard will be created with all visualizations pre-configured:
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<Image img={example_dashboard} alt="Redis Metrics dashboard"/>
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:::note
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For the demo dataset, ensure the time range is set to 2025-10-20 05:00:00 - 2025-10-21 05:00:00.
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For the demo dataset, set the time range to **2025-10-20 05:00:00 - 2025-10-21 05:00:00 (UTC)** (adjust based on your local timezone). The imported dashboard will not have a time range specified by default.
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</VerticalStepper>

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