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pages/serverless-containers/how-to/secure-a-container.mdx

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@@ -119,5 +119,3 @@ Refer to our [dedicated repository](https://github.com/scaleway/serverless-scale
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Using Scaleway [Observability Cockpit](/cockpit/quickstart/), a managed Grafana solution to which all your containers are connected, you can:
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* Monitor your containers using the default dashboard or create custom ones.
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* Set up notifications to be alerted in case of unexpected behavior.
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pages/serverless-containers/quickstart.mdx

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paragraph: Quickstart guide for Scaleway Serverless Containers.
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tags: containers serverless namespace
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dates:
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validation: 2024-08-13
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validation: 2025-02-27
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posted: 2021-05-26
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categories:
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- serverless

pages/serverless-functions/how-to/secure-a-function.mdx

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paragraph: How to secure your Scaleway Serverless Functions effectively.
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tags: functions secure private
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dates:
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validation: 2024-08-13
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validation: 2025-02-27
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posted: 2023-02-01
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pages/serverless-functions/reference-content/code-examples.mdx

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paragraph: Explore code examples for creating and deploying Serverless Functions in Scaleway.
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tags: functions serverless serverless-functions
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dates:
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validation: 2024-07-22
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validation: 2025-02-27
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posted: 2021-10-18
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### Returning a function result in Python
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There are several ways to return a response from a handler function:
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There are several ways to return a response from a handler function.
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**Response object with HTTP information:**
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pages/serverless-sql-databases/quickstart.mdx

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paragraph: Quickstart guide for setting up Scaleway serverless SQL databases.
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tags: sql-databases serverless database connect create delete serverless-sql-database serverless-db postgresql
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dates:
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validation: 2024-08-12
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validation: 2025-02-27
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posted: 2023-08-11
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pages/serverless-sql-databases/reference-content/serverless-sql-databases-overview.mdx

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paragraph: Overview of Scaleway's serverless SQL databases, including autoscaling and technical specifications.
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tags: database serverless-sql-database serverless overview specs
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dates:
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validation: 2024-08-13
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posted: 2023-08-04
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- **Scaling down**: after using less than 70% of the currently allocated vCPU for 10 seconds, the vCPU and RAM allocated to your database will decrease by 25% (rounded down to the nearest vCPU integer value), down to a minimum of 1 vCPU and 4 GB RAM while your database is active.
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<Message type="note">
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Scaling (up or down) operations happens at most once every minute. Moreover, for low vCPU values, scale-down operations happen only if the current workload can be absorbed by the nearest vCPU integer value rounded down. For instance, a database with 2 vCPUs consuming only 1.2 vCPU on average (60% of provisioned vCPU) will not scale down to 1 vCPU as the current load could not be absorbed.
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Scaling (up or down) operations happen at most once every minute. Moreover, for low vCPU values, scale-down operations happen only if the current workload can be absorbed by the nearest vCPU integer value rounded down. For instance, a database with 2 vCPUs consuming only 1.2 vCPU on average (60% of provisioned vCPU) will not scale down to 1 vCPU as the current load could not be absorbed.
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</Message>
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Automatic scaling operations may need to happen **between** atomic transactions. For example, a long-running transaction (such as updating millions of rows) taking one minute may delay the next scaling operation by one minute. The next transaction performed will, however, benefit from the upscaled/downscaled database performance. For optimal autoscaling reactivity and performance, we recommend you limit each transaction duration to a few seconds at most.
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- SQL request size is limited to 512 KB. A single SQL query sent to a Serverless SQL Database cannot exceed 512 KB, but the response to the query is not limited and results tables can exceed 512 KB.
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- The total size of prepared statements is limited to 512 KB per client connection. Refer to the [official PostgreSQ documentation](https://www.postgresql.org/docs/current/sql-prepare.html) for more information on prepared statements.
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