Add truncation markers to 7 more blog posts (15 total)

Copilot · jordanstephens · Copilot · commit c1ca739a75d9 · 2025-10-04T00:22:41.000Z
Co-authored-by: jordanstephens &lt;706922+jordanstephens@users.noreply.github.com&gt;
diff --git a/blog/2025-03-26-deploying-defang-with-defang-part-2.md b/blog/2025-03-26-deploying-defang-with-defang-part-2.md
@@ -24,6 +24,8 @@ That meant static hosting wouldn't cut it. So we decided to run the site as an a
 
 That being said, our learnings from the previous setup *are* being used to develop the capabilities of Defang. We're using the experience to make sure that Defang can handle the deployment of static sites as well as dynamic ones. We'll keep you updated when that's ready.
 
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 ---
 
 ## Deploying with Defang (and Why It Was Easy)
diff --git a/blog/2025-04-10-easiest-way-to-deploy-django.md b/blog/2025-04-10-easiest-way-to-deploy-django.md
@@ -26,6 +26,8 @@ We're deploying a real-time chat application that includes automatic moderation
 - **Postgres Database**: Managed database instance for persistent storage.
 - **Redis Broker**: Managed Redis instance serving as the broker for Celery tasks and Django Channels.
 
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 ## Running Locally
 
 To run the app locally, we use Docker Compose, splitting configurations into two YAML files:
diff --git a/blog/2025-04-11-mar-product-updates.md b/blog/2025-04-11-mar-product-updates.md
@@ -25,6 +25,8 @@ Wow - another month has gone by, time flies when you're having fun!
 
 Let us share some important updates regarding what we achieved at Defang in March:
 
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 **Managed LLMs:** One of the coolest features we have released in a bit is [support for Managed LLMs (such as AWS Bedrock) through the `x-defang-llm` compose service extension](/docs/concepts/managed-llms/managed-language-models). When coupled with the `defang/openai-access-gateway` service image, Defang offers the easiest way to [migrate your OpenAI-compatible application to cloud-native managed LLMs](/docs/tutorials/deploy-openai-apps) without making any changes to your code. Support for GCP and DigitalOcean coming soon.
 
 **Defang Pulumi Provider:** Last month, we announced a preview of the [Defang Pulumi Provider](https://github.com/DefangLabs/pulumi-defang), and this month we are excited to announce that V1 is now available in the [Pulumi Registry](https://www.pulumi.com/registry/packages/defang/). As much as we love Docker, we realize there are many real-world apps that have components that (currently) cannot be described completely in a Compose file. With the Defang Pulumi Provider, you can now leverage [the declarative simplicity of Defang with the imperative power of Pulumi](/docs/concepts/pulumi#when-to-use-the-defang-pulumi-provider).
diff --git a/blog/2025-04-23-vibe-deploy.md b/blog/2025-04-23-vibe-deploy.md
@@ -29,6 +29,8 @@ draft: false
 
 Welcome to the world of **vibe coding**, an AI-assisted, intuition-driven way of building software. You do not spend hours reading diffs, organizing files, or hunting through documentation. You describe what you want, let the AI take a pass, and keep iterating until it works.
 
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 **The Tools of Vibe Coding**
 
 Vibe coding would not exist without a new generation of AI-first tools. Here are some of the platforms powering this new workflow.
diff --git a/blog/2025-05-09-april-product-updates.md b/blog/2025-05-09-april-product-updates.md
@@ -21,6 +21,8 @@ author: Defang Team
 
 April flew by with big momentum at Defang. From deeper investments in the **Model Context Protocol** (MCP), to deploying LLM-based inferencing apps, to live demos of **Vibe Deploying**, we're making it easier than ever to go from idea to cloud.
 
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 ## MCP + Vibe Deploying
 
 This month we focused on making cloud deployments as easy as writing a prompt. Our latest Vibe Deploying [blog](/blog?_gl=1*1wbnk1m*_ga*MTM4MTE5ODI4NC4xNzQ0MDU0NDMz*_ga_QVJVWN44CW*czE3NDY3NDQwNDckbzQ3JGcxJHQxNzQ2NzQ0NzUzJGowJGwwJGgw) shows how you can launch full-stack apps right from your IDE just by chatting.
diff --git a/blog/2025-06-06-may-product-updates.md b/blog/2025-06-06-may-product-updates.md
@@ -21,6 +21,8 @@ author: Defang Team
 
 May was a big month at Defang. We shipped support for managed LLMs in Playground, added MongoDB support on AWS, improved the Defang MCP Server, and dropped new AI samples to make deploying faster than ever.
 
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 ## 🚀 Managed LLMs in Playground
 
 You can now try managed LLMs directly in the Defang Playground.
diff --git a/blog/2025-07-10-june-product-updates.md b/blog/2025-07-10-june-product-updates.md
@@ -22,6 +22,8 @@ author: Defang Team
 
 June was a big month at Defang. We rolled out powerful features across our CLI, Playground, and Portal, expanded support for both AWS and GCP, and introduced new tools to help you ship faster and smarter. From real-time cloud cost estimation to internal infra upgrades and community highlights, here’s everything we accomplished.
 
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 ## 🚀 Live AWS Cost Estimation
 
 We just launched something we’re really excited about: live AWS cost estimation before you deploy.
diff --git a/blog/2025-07-14-defang-gcp-compose.md b/blog/2025-07-14-defang-gcp-compose.md
@@ -26,6 +26,8 @@ With Defang, you can:
 
 Our whitepaper walks through how Defang integrates with GCP, including how it:
 
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 ✅ Builds your containers using Cloud Build  
 ✅ Manages secure deployments via Cloud Run and managed services  
 ✅ Supports custom domains, advanced networking, GPUs, LLMs, and more  
