Engin Diri

Managing secrets in a cloud-native environment can be challenging, but it is crucial for ensuring the security and integrity of any application or infrastructure. We encounter a lot of different types of secrets, from API keys, database passwords, and certificates to tokens and passwords. These secrets need to be stored securely and accessed by different services in a secure way without exposing any sensitive information to unauthorized users.

Here is where Pulumi ESC and External Secrets Operator come into play by providing a secure and efficient solution for cloud-native secret management.

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In today’s complex digital landscape, organizations are increasingly turning to platform engineering to optimise their software delivery processes and maximize efficiency. The growing complexity of modern applications, coupled with the need for rapid, secure, and scalable deployments, has created a pressing demand for robust Internal Developer Platforms (IDPs).

IDPs are a key component of modern platform engineering strategies. An IDP is a self-service layer that sits on top of an organization’s infrastructure, abstracting away complexity and providing developers with the tools and environments they need to build, test, and deploy applications efficiently.

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The Java Language Architect at Oracle, Brian Goetz, author of Java Concurrency in Practice, has commented how declarative languages can be a double-edged sword:

HashiCorp’s infrastructure as code solution, Terraform, uses a domain-specific language (DSL) to declare cloud resources. Pulumi’s infrastructure as code solution, on the other hand, lets you choose from any number of modern languages – C#, Java, JavaScript, Go, Python, or TypeScript – or the industry-standard markup language YAML, to declare cloud resources. Although both Terraform and Pulumi are declarative infrastructure as code engines at their core, this fundamentally different approach to expression languages has significant consequences.

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When I am talking with community members, who are not using Pulumi yet, I often get asked what would be a good way to include their Infrastructure as Code (IaC) into existing software like a REST API. And my answer is always the same: Use our Pulumi Automation API.

With the Pulumi Automation API you can include Pulumi IaC into your existing software, and this for any of the Pulumi supported programming languages like TypeScript, Python, Go, or C#. This gives you a greater flexibility and control, which you will not have with other IaC tools like CloudFormation or Terraform.

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In a previous blog post from me, we discussed how easy it is to build your 🦜️🔗 LangChain LLM application and use 🦜️🏓 LangServe and Pulumi to deploy it on an AWS Fargate cluster. We even went a step further and deployed a Pinecone index, all in a few lines of Pulumi code, to provide a vector store for our LLM application.

Let me walk you this time a different path on creating a LLM applications. This LLM-powered application is using Flowise, a low-code/node drag & drop tool to visualize and build our LLM application and LocalAI. LocalAI is a local inference engine that allows us to run LLMs locally or on-prem with consumer grade hardware. Everything will be deployed on an AWS EKS cluster using Pulumi and TypeScript.

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We all know how easy it is to create, deploy, and manage any cloud infrastructure with Pulumi using your favorite programming language. With the rise of artificial intelligence (AI) more and more developers are working on LLM-powered applications and services. And with this, the need to have the same ease of use for creating, deploying, and managing the infrastructure for these applications is growing.

In this blog post, we will show you how to this can be achieved with combining Pulumi and LangServe.

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Hello, Pulumi Pinecone Provider! 👋

The Pinecone integration with Pulumi offers a native way to manage Pinecone indexes, including the newly-announced serverless indexes. Utilize any of Pulumi’s supported languages to effortlessly create, update, and remove your Pinecone indexes. This integration facilitates the application of Infrastructure as Code principles, helping you to work even more efficiently. Furthermore, this gives you the benefit of tapping into Pulumi’s wide range of providers, offering you a diverse and powerful set of tools to enhance your development work.

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Backstage is an open source framework for building developer portals, created at Spotify and donated to the CNCF. It allows engineers to create their own development portal internally. Backstage makes it easy for teams to create a unified portal for their infrastructure tooling, software templates, services, documentation and plugins for external tools.

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