2 posts tagged with "DevOps"

Deploying Agentic Apps to the Cloud Shouldn’t Be This Hard…​

Agentic apps are redefining how software is built: multi-agent workflows, persistent memory, tool-using LLMs, and orchestrated autonomy. But deploying them to the cloud is still painful - for example, your agentic app typically needs to provision:

• Managed databases like Postgres or MongoDB
• Fast, scalable caching (hello Redis)
• Containerized compute that scales
• Secure networking and service discovery
• Managed LLMs like AWS Bedrock or GCP Vertex AI

And for many teams, these apps must run inside the customer’s cloud, where sensitive data lives and compliance rules apply. That means you cannot just spin up your own environment and call it a day. Instead, you are deploying across AWS, GCP, DigitalOcean, or whichever stack your customers demand, each with its own APIs, quirks, and limitations.

Now you are not just building agents; you are picking the right infrastructure, rewriting IaC templates for every provider, and untangling the edge cases of each cloud.

The result: weeks of DevOps headaches, lost momentum, and engineers stuck wiring infrastructure instead of shipping agents.

We Made it Simple with Cloud Native Support for Agentic Apps​

That’s where Defang comes in. We make it easy to deploy full-stack agentic apps to your cloud of choice: native, secure, and scalable. Defang understands the common ingredients of agentic apps and makes them first-class citizens:

• Compute: Your Dockerized services deploy as cloud-native workloads (e.g. AWS ECS, or GCP Cloud Run)
• Databases: Provision managed Postgres or MongoDB with one config line
• Caching: Add Redis and Defang spins up a managed Redis instance in your cloud
• LLMs: Integrate directly with Bedrock or Vertex AI - even provision an OpenAI gateway for compatibility with OpenAI APIs.
• Secure Defaults: : TLS, secrets, IAM, and service accounts handled out of the box

Built for All your Favorite Agentic Frameworks​

Defang works seamlessly with leading agentic frameworks. Try them out with our ready-to-deploy samples:

• Autogen - demo featuring Mistral AI + FastAPI, deployable with Defang’s OpenAI Access Gateway.
• CrewAI - sample app showing multi-agent orchestration in action.
• LangGraph - workflow sample that defines and controls multi-step agentic graphs with LangChain.

More framework templates coming soon.

Why It Matters​

Agentic apps need to be fast, secure, and ready to scale. Defang delivers cloud-native deployments in your environment (AWS, GCP, DO), so you can move from idea to production quickly with consistent behavior across dev, test, and prod.

The Developer Journey, Simplified​

1. Build your agentic app locally using Docker Compose
2. Test in Defang's free playground with defang compose up
3. Deploy to your cloud:

defang compose up --provider=aws  # or gcp, do

It just works. No Terraform. No YAML explosion. No vendor lock-in.

The Future of AI Apps Is Agentic and Cloud-Native​

Agility and scalability should not be a trade-off. With Defang, you get both. Developers focus on agents, tools, and outcomes. Defang takes care of the cloud infrastructure.

Try it out​

Explore more samples at docs.defang.io Join our community on Discord

Well, that went by quick! Seems like it was just a couple of weeks ago that we published the Jan update, and it’s already time for the next one. Still, we do have some exciting progress to report in this short month!

1. Pulumi Provider: We are excited to announce a Preview of the Defang Pulumi Provider. With the Defang Pulumi Provider, you can leverage all the power of Defang with all of the extensibility of Pulumi. Defang will provision infrastructure to deploy your application straight from your Compose file, while allowing you to connect that deployment with other resources you deploy to your cloud account. The new provider makes it easy to leverage Defang if you’re already using Pulumi, and it also provides an upgrade-path for users who need more configurability than the Compose specification can provide.
2. Portal Update: We are now fully deploying our portal with Defang alone using the defang compose up command. Our original portal architecture was designed before we supported managed storage so we used to use Pulumi to provision and connect external storage. But since we added support in Compose to specify managed storage, we can fully describe our Portal using Compose alone. This has allowed us to rip out hundreds of lines of code and heavily simplify our deployments. To learn more about how we do this, check out our Defang-Deployed-with-Defang (Part 1) blog.
3. Open-Auth Contribution: In the past couple months we have been communicating with the OpenAuth maintainers and contributors via PRs (#120, #156) and Issues (#127) to enable features like local testing with DynamoDB, enabling support for scopes, improving standards alignment, supporting Redis, and more. We are rebuilding our authentication systems around OpenAuth and are excited about the future of the project.

Events and Social Media

February was an exciting month for the Defang team as we continued to engage with the developer community and showcase what’s possible with Defang. We sponsored and demo’ed at the DevTools Vancouver meetup, as well as sponsored the Vancouver.dev IRL: Building AI Startups event. Also, at the AWS Startup Innovation Showcase in Vancouver, our CTO Lio demonstrated how Defang makes it effortless to deploy secure, scalable, and cost-efficient serverless apps on AWS! And finally, we had a great response to our LinkedIn post on the Model Context Protocol, catching the attention of many observers, including some of our key partners.

We are eager to see what you deploy with Defang. Join our Discord to ask any questions, see what others are building, and share your own experience with Defang. And stay tuned for more to come in March!