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fix(insights): links were pointing to old dashboards (#12107)
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docs/platforms/dotnet/common/tracing/instrumentation/custom-instrumentation/caches-module.mdx

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@@ -6,7 +6,7 @@ description: "Learn how to manually instrument your code to use Sentry's Caches
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A cache can be used to speed up data retrieval, thereby improving application performance. Because instead of getting data from a potentially slow data layer, your application will be getting data from memory (in a best case scenario). Caching can speed up read-heavy workloads for applications like Q&A portals, gaming, media sharing, and social networking.
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/caches/) for getting an overview of your application's caches.
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) for getting an overview of your application's caches.
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To make it possible for Sentry to give you an overview of your cache performance, you'll need to create two spans - one indicating that something is being put into the cache, and a second one indicating that something is being fetched from the cache.
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}
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```
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) to see how your cache is performing.
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) to see how your cache is performing.

docs/platforms/go/common/tracing/instrumentation/caches-module.mdx

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@@ -91,4 +91,4 @@ if parentSpan != nil {
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}
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```
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) to see how your cache is performing.
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) to see how your cache is performing.

docs/platforms/java/common/tracing/instrumentation/custom-instrumentation/caches-module.mdx

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@@ -5,7 +5,7 @@ description: "Learn how to manually instrument your code to use Sentry's Caches
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---
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A cache can be used to speed up data retrieval, thereby improving application performance. Because instead of getting data from a potentially slow data layer, your application will be getting data from memory (in a best case scenario). Caching can speed up read-heavy workloads for applications like Q&A portals, gaming, media sharing, and social networking.
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/caches/). For now you can manually instrument your caching solution and use Sentry to get a look into how it is performing by following the setup instructions below. We might be adding integrations to do this automatically, please head over to [GitHub](https://github.com/getsentry/sentry-java) and let us know which caching solution you'd like us to support.
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/). For now you can manually instrument your caching solution and use Sentry to get a look into how it is performing by following the setup instructions below. We might be adding integrations to do this automatically, please head over to [GitHub](https://github.com/getsentry/sentry-java) and let us know which caching solution you'd like us to support.
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To make it possible for Sentry to give you an overview of your cache performance, you'll need to create two spans - one indicating that something is being put into the cache, and a second one indicating that something is being fetched from the cache.
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## Manual Instrumentation
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For now you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/insights/caches/) by following the steps below.
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For now you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) by following the steps below.
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<PlatformSection supported={["java.spring", "java.spring-boot"]}>
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If you are using Spring caching, please take a look at our [proof of concept PR](https://github.com/getsentry/sentry-java/pull/3457) as it shows how to register a cache listener and report cache spans to Sentry.

docs/platforms/javascript/common/tracing/instrumentation/custom-instrumentation/caches-module.mdx

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A cache can be used to speed up data retrieval, thereby improving application performance. Because instead of getting data from a potentially slow data layer, your application will be getting data from memory (in a best case scenario). Caching can speed up read-heavy workloads for applications like Q&A portals, gaming, media sharing, and social networking.
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) that can be auto-instrumented using Sentry's Redis integration (more coming soon).
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) that can be auto-instrumented using Sentry's Redis integration (more coming soon).
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## Instrumentation with Redis Clients
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## Manual Instrumentation
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If you're using anything other than Sentry's Redis integration, you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) by following the steps below.
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If you're using anything other than Sentry's Redis integration, you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) by following the steps below.
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You'll need to create two spans - one indicating that something is being put into the cache, and a second one indicating that something is being fetched from the cache.
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);
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```
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) to see how your cache is performing.
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) to see how your cache is performing.

docs/platforms/php/common/tracing/instrumentation/caches-module.mdx

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sidebar_order: 1000
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description: "Learn how to manually instrument your code to use Sentry's Caches module. "
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---
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/caches/) that can be auto-instrumented by our [Laravel SDK](/platforms/php/guides/laravel/).
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) that can be auto-instrumented by our [Laravel SDK](/platforms/php/guides/laravel/).
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If you're using something else, you can manually instrument your cache operations and use Sentry to get a look into how your caching solution is performing by following the setup instructions below.
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## Custom Instrumentation
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If you're using anything other than our [Laravel SDK](/platforms/php/guides/laravel/), you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) by following the steps below.
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If you're using anything other than our [Laravel SDK](/platforms/php/guides/laravel/), you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) by following the steps below.
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### Add Span When Putting Data Into the Cache
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```
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) to see how your cache is performing.
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) to see how your cache is performing.

docs/platforms/php/common/tracing/instrumentation/queues-module.mdx

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sidebar_order: 3000
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description: "Learn how to manually instrument your code to use Sentry's Queues module. "
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Sentry comes with a [queue-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/queues/) that can be auto-instrumented by our [Laravel SDK](/platforms/php/guides/laravel/).
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Sentry comes with a [queue-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/queues/) that can be auto-instrumented by our [Laravel SDK](/platforms/php/guides/laravel/).
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If you're using something else, you can manually instrument your queue producers and consumers to ensure that you have performance data about your messaging queues.
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docs/platforms/php/common/tracing/instrumentation/requests-module.mdx

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description: "Learn how to manually instrument your code to use Sentry's Requests module."
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Sentry offers a [requests monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/http/) that can be auto-instrumented by our [Laravel SDK](/platforms/php/guides/laravel/) and [Symfony SDK](/platforms/php/guides/symfony/).
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Sentry offers a [requests monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/http/) that can be auto-instrumented by our [Laravel SDK](/platforms/php/guides/laravel/) and [Symfony SDK](/platforms/php/guides/symfony/).
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If you're using something else, you can manually instrument your requests and use Sentry to get a look into how your requests to APIs are performing by following the setup instructions below.
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docs/platforms/python/tracing/instrumentation/custom-instrumentation/caches-module.mdx

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A cache can be used to speed up data retrieval, thereby improving application performance. Because instead of getting data from a potentially slow data layer, your application will be getting data from memory (in a best case scenario). Caching can speed up read-heavy workloads for applications like Q&A portals, gaming, media sharing, and social networking.
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/caches/) that can be auto-instrumented for popular Python caching setups (like <PlatformLink to="/integrations/django/">Django</PlatformLink>, <PlatformLink to="/integrations/redis/">Redis</PlatformLink>, and memcached (coming soon)).
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Sentry offers a [cache-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) that can be auto-instrumented for popular Python caching setups (like <PlatformLink to="/integrations/django/">Django</PlatformLink>, <PlatformLink to="/integrations/redis/">Redis</PlatformLink>, and memcached (coming soon)).
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If you're using a custom caching solution that doesn't have auto instrumentation, you can manually instrument it and use Sentry to get a look into how your caching solution is performing by following the setup instructions below.
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## Manual Instrumentation
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If you're using anything other than <PlatformLink to="/integrations/django/">Django</PlatformLink>, <PlatformLink to="/integrations/redis/">Redis</PlatformLink>, memcached (coming soon), you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) by following the steps below.
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If you're using anything other than <PlatformLink to="/integrations/django/">Django</PlatformLink>, <PlatformLink to="/integrations/redis/">Redis</PlatformLink>, memcached (coming soon), you'll need to manually instrument the [Cache Module](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches/) by following the steps below.
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### Add Span When Putting Data Into the Cache
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```
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/performance/caches/) to see how your cache is performing.
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You should now have the right spans in place. Head over to the [Cache dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/caches) to see how your cache is performing.

docs/platforms/python/tracing/instrumentation/custom-instrumentation/queues-module.mdx

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description: "Learn how to manually instrument your code to use Sentry's Queues module. "
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---
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Sentry comes with a [queue-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/queues/) that can be auto-instrumented for popular Python queue setups (like <PlatformLink to="/integrations/celery/">Celery</PlatformLink>).
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Sentry comes with a [queue-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/queues/) that can be auto-instrumented for popular Python queue setups (like <PlatformLink to="/integrations/celery/">Celery</PlatformLink>).
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In case yours isn't supported, you can still instrument custom spans and transactions around your queue producers and consumers to ensure that you have performance data about your messaging queues.
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docs/platforms/python/tracing/instrumentation/custom-instrumentation/requests-module.mdx

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description: "Learn how to manually instrument your code to use Sentry's Requests module."
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As a prerequisite to setting up [Requests](/product/insights/requests/), you’ll need to first <PlatformLink to="/tracing/">set up tracing</PlatformLink>. Once this is done, the Python SDK will automatically instrument outgoing HTTP requests made via `HTTPConnection` and show the data in the [requests-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/http/). If that doesn't fit your use case, you can set up using custom instrumentation described below.
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As a prerequisite to setting up [Requests](/product/insights/requests/), you’ll need to first <PlatformLink to="/tracing/">set up tracing</PlatformLink>. Once this is done, the Python SDK will automatically instrument outgoing HTTP requests made via `HTTPConnection` and show the data in the [requests-monitoring dashboard](https://sentry.io/orgredirect/organizations/:orgslug/insights/backend/http/). If that doesn't fit your use case, you can set up using custom instrumentation described below.
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## Custom Instrumentation
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