Posts Tagged serverless

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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Whether you’re building a new application or moving an existing application over from another provider, the basic framework of your infrastructure probably isn’t something you want to worry about if you don’t have to. The cloud is complicated enough as it is. With Architecture Templates, Pulumi takes on some of the work involved in deploying your application to the cloud provider of your choice. Let’s take a tour of the new Serverless Templates for AWS, GCP, and Azure!

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The subject of how to make use of secrets in Lambda Functions comes up a fair bit, and although there seems to be a lot of discussion on where you should store them, the one thing that comes up is that you should never store the plain text values of secrets in the Lambda Function’s environment variables. One such discussion I was having with a customer made me think about how it should be possible to take the secrets that you’ve got on your stack config file and then use them to configure your Lambda Function, with the plain text values going into the Function’s environment variables and the encrypted secret values going into AWS’ Secrets Manager.

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Event-driven, serverless functions have become a defining feature of many modern cloud architectures. With recent capabilities such as AWS Lambda URLs and AWS Lambda Containers, AWS has made it clear that Lambda Functions are a platform that teams can use to deliver increasingly sophisticated services without worrying about managing underlying compute resources.

Today, AWS announced another advancement for their Lambda Functions platform: Attribute-Based Access Control (ABAC). At its core, ABAC support brings more granular permissions that are automatically applied based on IAM role tags, Lambda tags, or both. This update builds on well-established Role-Based Access Control (RBAC) principles while making it possible to implement granular controls without permissions updates for every new user and resource.

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Cloudflare Workers provides a serverless execution environment that allows you to create entirely new applications or augment existing ones without configuring or maintaining infrastructure. They support NodeJS and WebAssembly (WASM), as well as any language that can compile to WASM.

Delivered from over 250 locations worldwide, Cloudflare could be the best way to bring down that latency that’s plaguing your customers. Claiming 0ms for cold starts, automatic scaling, 100k free requests per day, and edge storage built-in: Cloudflare offers a pretty compelling edge compute platform for serverless workloads.

Let’s see how we can deploy a low-latency serverless URL shortener to Cloudflare Workers with Pulumi.

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When I was a kid growing up in Southern California, there was a phone number you could call to find out what time it was. It was a local number, 853-1212 (easy to remember as the arrangement of the numbers on the keypad made a capital T), and I used it all the time, to set my watch, adjust the alarm clock, fix the display on the VCR. I don’t recall the last time I used it, probably sometime in the mid ’90s, but I do remember clearly the sound of the voice at the other end of the line.

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If you’ve spent any time with Amazon API Gateway, you know it’s all about making it easier to manage a serverless REST API. But did you know you can do more with API Gateway than just invoke Lambdas? In this post, you’ll learn how to use Pulumi to connect API Gateway with EventBridge, Amazon’s serverless event bus, to build loosely coupled, scalable and maintainable apps and systems.

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The previous article was a deep dive into virtual machines. First, we used the Azure Portal to create and deploy a virtual machine; then, we repeated the process using infrastructure as code. We further demonstrated how to automate provisioning as part of cloud engineering’s build and deploy processes.

This article will explore the other end of the cloud infrastructure with serverless, which is an on-demand, fully-managed cloud architecture.

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The Azure cloud platform includes over 200 products and cloud services. Wherever you are in your Microsoft cloud engineering journey, you should be familiar with these top 5 cloud tasks that are essential building blocks commonly used to deploy applications and infrastructure to the Azure cloud.

In this series of articles, we’ll go in-depth on virtual machines, Azure Functions, static websites, building an Azure Kubernetes Service cluster and deploying applications on AKS, and DevOps with Azure App Service.

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Building an open-source framework for building serverless applications has many challenges, one of which is deploying cloud infrastructure resources. In this article, learn how Webiny uses Pulumi to enable its users to easily deploy and develop applications built on top of serverless cloud technologies.

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