At AWS re:Invent 2023, AWS announced the new Amazon S3 Express One Zone storage class. This new service provides incredible performance by collocating your S3 buckets closer to the workloads that use the data. Compared to the S3 Standard storage class, the Express One Zone storage class is up to 10x faster, handles 100,000s of requests per second, offers single-digit millisecond latency, and can reduce request costs by 50%. This can be extremely beneficial for data-intensive workloads such as AI/ML, media, finance, realtime, and high-performance computing scenarios. This blog post shows how to get started with Amazon S3 Express One Zone using Pulumi infrastructure as code.

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We are excited to announce that all users of Pulumi Cloud can now secure their account with multi-factor authentication (MFA). By requiring an additional verification step during the login process, MFA shields against unauthorized access, reducing the risk of breaches. This feature aligns with our commitment to providing robust security measures for our users. As an organization administrator, you can further protect your organization by having your members enable MFA.

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Redis Enterprise Cloud makes apps faster by providing an in-memory database that enables teams to create a real-time data platform. In this post, you’ll learn how to enable connectivity between Redis Enterprise Cloud and your workloads using Pulumi and the Redis Cloud provider.

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Keeping long-lived kubeconfig around on disk is insecure and error-prone. You need a secure workflow that removes tedium. With Pulumi and ESC, we provide an automated workflow that generates a kubeconfig on-the-fly for every command using short-term credentials issued via OIDC. This makes it easy for your team to connect to a given Kubernetes environment, and it works well with Kubernetes tools such as kubectl and the Pulumi Kubernetes provider. Let’s take a look.

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This is the third of a three-part series originally published on The New Stack. Read Part 1 and Part 2.

Engineers who modernize their Infrastructure as Code with Pulumi get two classes of benefits:

1. Infrastructure as Code to develop cloud infrastructure with code.
2. Pulumi Cloud, which tames cloud infrastructure management at scale.

We’ve covered a fair bit of the first above, but have yet to scratch the surface for the second.

Many Infrastructure as Code solutions require that you explicitly manage something typically referred to as “state.” This state is an artifact produced that keeps track of what you think your infrastructure looks like, as defined by your Infrastructure as Code, so that it can be easily compared to what your actual infrastructure looks like. This is how diffs and updates can be done. Every Infrastructure as Code tool stores this infrastructure state, which is really just metadata about all the cloud resources, properties and dependencies. However, how much the tool exposes you to it varies.

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This is the second of a three-part series originally published on The New Stack.

Following the first piece in this series, Infrastructure as Code in Any Programming Language, this walkthrough will show what it takes to get up and running with Infrastructure as Code. Everything we show will be done with Pulumi’s free and open source Infrastructure as Code SDK. You can also sign up for Pulumi Cloud. After discussing the basics of how to get going, we’ll then dive into some advanced use cases to show what you can do from there.

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The integration of artificial intelligence (AI) with DevOps signals a new era in software development. DevOps possesses unique characteristics and needs that make it exceptionally compatible with AI augmentation. Given that code fundamentally relies on language, and large language models (LLMs) serve as the core of GPT functionality, these models are particularly well-suited for tasks such as code generation. This article unwraps the topics addressed during our “AI: Friends or Foe | AI Talks for DevOps” event in San Francisco.

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The latest major release of the Pulumi Google Cloud Classic Provider is available now! This 7.0 release contains the latest upstream changes to keep you up-to-date along with a highly requested bug fix, keeping your journey in managing Google Cloud resources fresh and smooth.

The Pulumi Google Cloud Classic provider can be used to provision any of the cloud resources available in the upstream provider. It is part of the suite of Pulumi official providers, which means that it is officially maintained and supported by Pulumi. The provider is also open source and available on GitHub for you to contribute and grow.

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This is the first of a three-part series originally published on The New Stack.

Infrastructure as Code is a technology for automating the infrastructure for your cloud applications. If you’re an engineer, whether that’s developing a backend service or within a central platform team, it’s not just about writing application code. You’ll need to provision, update and perform other tasks associated with its supporting infrastructure, and that’s where Infrastructure as Code can help. Instead of manually pointing-and-clicking in the cloud console, which is unrepeatable and error-prone, or writing ad-hoc scripts, which can be tedious and hard to scale, Infrastructure as Code lets us, as engineers, use familiar techniques by just writing code.

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In a world where cloud computing is the backbone of modern applications, managing environments and secrets is of the utmost importance. Earlier this month we released a new service called Pulumi ESC (Environments, Secrets, and Configuration), the focus of which is to help alleviate the burden of managing cloud configuration and secrets by providing a centralized way to handle these critical aspects of cloud development. It’s like having a Swiss Army knife in your toolkit, ready to tackle the challenges of cloud infrastructure. This post will highlight the specific challenge of credentials management, and we’ll specifically dive into how using the esc run functionality of Pulumi ESC will make that easier.

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