fix broken links

Author: jordanstephens

docs/concepts/generate.md

@@ -5,7 +5,7 @@ description: Defang uses AI to help you generate a starting point for your cloud
 
 # Generate
 
-Defang includes an AI-driven agent that translates natural language prompts to an outline for your project that you can then refine. The AI agent is available through the [Defang CLI](../getting-started#install-the-defang-cli.md).
+Defang includes an AI-driven agent that translates natural language prompts to an outline for your project that you can then refine. The AI agent is available through the [Defang CLI](/docs/getting-started#install-the-defang-cli).
 
 We are working on expanding the range of supported prompts and improving the accuracy of the AI agent. If you have any feedback or suggestions, please let us know by [opening an issue](https://github.com/DefangLabs/defang/issues/new).
 

docs/concepts/managed-llms/managed-language-models.md

@@ -11,10 +11,10 @@ Each cloud provider offers their own managed Large Language Model services. AWS
 
 | Provider | Managed Language Models |
 | --- | --- |
-| [Playground](/docs/providers/playground#managed-large-language-models) | ✅ |
-| [AWS Bedrock](/docs/providers/aws#managed-large-language-models) | ✅ |
+| [Playground](/docs/providers/playground#managed-llms) | ✅ |
+| [AWS Bedrock](/docs/providers/aws#managed-llms) | ✅ |
 | [DigitalOcean GenAI](/docs/providers/digitalocean#future-improvements) | ❌ |
-| [GCP Vertex AI](/docs/providers/gcp#managed-large-language-models) | ✅ |
+| [GCP Vertex AI](/docs/providers/gcp#managed-llms) | ✅ |
 
 ## Usage
 

docs/concepts/managed-storage/managed-redis.md

@@ -14,7 +14,7 @@ Redis is an in-memory data structure store widely used for caching, real-time an
 | [Playground](/docs/providers/playground#managed-services) | ⚠️ Unmanaged |
 | [AWS](/docs/providers/aws#managed-storage) | ✅ Elasticache |
 | [DigitalOcean](/docs/providers/digitalocean#future-improvements) | ⚠️ Unmanaged |
-| [GCP](/docs/providers/gcp#managed-services) | ✅ Memorystore |
+| [GCP](/docs/providers/gcp#managed-redis) | ✅ Memorystore |
 
 ## How to use Managed Redis
 

docs/concepts/resources.md

@@ -3,13 +3,17 @@ title: Resources
 description: Customize the resources your Defang services use.
 ---
 
-# Run-time Resources
+# Resources
+
+Defang allows you to customize the resources allocated to your services both at build-time and at run-time.
+
+## Run-time Resources
 
 You can configure the resources available to your Defang services as required. You can configure the CPU, and memory allocated to your services as well as the number of replicas and whether or not your services requires access to GPUs.
 
-## Examples
+### Examples
 
-### Docker Compose
+#### Docker Compose
 
 ```yaml
 services:
@@ -24,7 +28,7 @@ services:
             - capabilities: ["gpu"]
 ```
 
-### Pulumi
+#### Pulumi
 
 ```typescript
 const service = new defang.DefangService("gpu-service", {
@@ -45,7 +49,7 @@ const service = new defang.DefangService("gpu-service", {
 If you require access to GPUs, you can specify this in the `deploy.resources.reservations.devices[0].capabilities` section of your service as in the examples above. You can learn more about this in the [Docker-Compose documentation](https://docs.docker.com/compose/gpu-support/). This is the only supported value in the `deploy.resources.reservations.devices` section.
 :::
 
-# Build-time Resources
+## Build-time Resources
 
 You can configure the memory requirements and disk space requirements for your image builds by using the `shm_size` property of your service's [`build` specification](https://github.com/compose-spec/compose-spec/blob/main/build.md).
 

docs/intro/what-is-defang.mdx

@@ -15,7 +15,7 @@ Defang lets you take your app from Docker Compose to a secure and scalable deplo
 Any App, Any Stack, Any Cloud.
 
 ### Get Started Quickly
-The [Defang CLI (command line interface)](/docs/getting-started#install-the-defang-cli.md) includes an AI agent that translates natural language prompts to [generate an outline](/docs/tutorials/generate-new-code-using-ai) for your project that you can then refine. Or choose from our [library of over 50 samples](https://defang.io/samples/) covering all major frameworks and technologies. 
+The [Defang CLI (command line interface)](/docs/getting-started#install-the-defang-cli) includes an AI agent that translates natural language prompts to [generate an outline](/docs/tutorials/generate-new-code-using-ai) for your project that you can then refine. Or choose from our [library of over 50 samples](https://defang.io/samples/) covering all major frameworks and technologies.
 
 
 ### Deploy with a Single Command
@@ -27,12 +27,12 @@ Defang can automatically build and deploy your project with a single command.
       * [Amazon Web Services (AWS)](/docs/tutorials/deploy-to-aws)
       * [DigitalOcean](/docs/tutorials/deploy-to-digitalocean)
       * [Google Cloud Platform (GCP)](/docs/tutorials/deploy-to-gcp)
-    - To support stateful workloads, we've got managed storage options such as [Managed Postgres](/docs/concepts/managed-storage/managed-postgres) and [Managed Redis](/docs/concepts/managed-storage/managed-redis). 
+    - To support stateful workloads, we've got managed storage options such as [Managed Postgres](/docs/concepts/managed-storage/managed-postgres) and [Managed Redis](/docs/concepts/managed-storage/managed-redis).
     - If you want, you can also [bring your own domain name](/docs/tutorials/use-your-own-domain-name) for your deployment.
 
 Defang takes care of all the heavy lifting such as configuring networking, security, [observability](/docs/concepts/observability.md) and all the other details that usually slow down the average cloud developer.
 It also allows you to easily [publish updates](/docs/concepts/deployments.md#deploying-updates) to your deployed application with zero downtime.
-   
+
 ### Debug
 
 Once you've deployed, you can use our AI agent to help [debug](/docs/concepts/debug) your cloud applications, using your service logs and project files to help you identify and resolve issues.

docs/providers/digitalocean/digitalocean.md

@@ -20,7 +20,7 @@ Why should you use Defang with DigitalOcean? Defang allows you to easily create
 
 ### Install Defang
 
-To get started with the Defang BYOC DigitalOcean Provider, first [install the latest version of the Defang CLI](../getting-started#authenticate-with-defang).
+To get started with the Defang BYOC DigitalOcean Provider, first [install the latest version of the Defang CLI](/docs/getting-started).
 
 ### Sign up for DigitalOcean
 

docs/tutorials/deploy-with-gpu.mdx

@@ -49,7 +49,7 @@ You'll need to clone the [Mistral & vLLM](https://github.com/DefangLabs/samples/
 
 ## Step 2 - Check your [Defang BYOC](../concepts/defang-byoc.md) settings
 
-- Make sure you [install the latest version of the Defang CLI](../getting-started#install-the-defang-cli.md)
+- Make sure you [install the latest version of the Defang CLI](/docs/getting-started#install-the-defang-cli)
 - Then, make sure you have properly [authenticated your AWS account](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html). The Defang CLI makes use of AWS environment variables like `AWS_PROFILE`, `AWS_REGION`, `AWS_ACCESS_KEY_ID`, and `AWS_SECRET_ACCESS_KEY`, so make sure the correct values are set for those.
 
 :::tip

docs/tutorials/scaling-your-services.mdx

@@ -66,7 +66,7 @@ Autoscaling allows your services to automatically adjust the number of replicas
 ### Enabling Autoscaling
 
 To enable autoscaling for a service, add the `x-defang-autoscaling: true` extension under the service definition in your `compose.yaml` file and remove the _**replicas**_ field in your
-_**deploy**_ mapping, if present. Autoscaling is available in staging and production [deployments modes](/docs/concepts/deployments#deployment_modes) only.
+_**deploy**_ mapping, if present. Autoscaling is available in staging and production [deployments modes](/docs/concepts/deployment-modes) only.
 
 Example:
 

docusaurus.config.js

@@ -117,7 +117,7 @@ const config = {
       },
       items: [
         {
-          to: '/docs/Intro',
+          to: '/docs/intro',
           position: 'left',
           label: 'Docs',
         },