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Automation API: Supercharged Cloud Tooling

Sophia Parafina Sophia Parafina
Automation API: Supercharged Cloud Tooling

“Why use a programming language to build and maintain infrastructure?” is a question we hear frequently. There are apparent advantages such as using a mature and well-known language across a team, enabling cloud engineers to use software development best practices, and an ecosystem of tools for building robust systems.

Infrastructure as code enables you to build tools and environments to automate routine tasks, letting cloud engineers concentrate on efficiency and resilience. In this article, we’ll take a look at how Pulumi’s Automation API lets you build custom ops tooling that improves your workflow.

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Pulumi is SOC 2 Certified

Eric Rudder Eric Rudder
Pulumi is SOC 2 Certified

Pulumi’s Commitment

Pulumi is committed to operational excellence for our customers and one of the ways that we decided to demonstrate this was by completing our SOC 2 Type 2 Audit. After a lot of hard work these past few months, we are pleased to announce that Pulumi is now SOC 2 compliant!

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Announcing Cross-Language Enum Support

Komal Ali Komal Ali
Announcing Cross-Language Enum Support

Here at Pulumi, we believe in leveraging the best features of programming languages to create a delightful development experience for our users. Today, we continue our contributions in this area by announcing cross-language support for enum types in our provider SDKs, available in all Pulumi languages - Python, TypeScript, .NET and Go.

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Infrastructure CI/CD With Github Actions and Pulumi

Paul Stack Paul Stack Praneet Loke Praneet Loke Isaac Harris Isaac Harris
Infrastructure CI/CD With Github Actions and Pulumi

GitHub Actions help automate tasks within your software development life cycle. At Pulumi, we use GitHub Actions internally as part of every build/release cycle, and we run these tasks many, many times per day. This helps us to automate our CI/CD process and eliminate manual steps. Pulumi and many of our customers also deliver infrastructure resources as part of a CI/CD process: delivering infrastructure and applications in a single, integrated pipeline.

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It’s Time to Embrace Kubernetes! Really? (Part 1)

Lee Briggs Lee Briggs
It’s Time to Embrace Kubernetes! Really? (Part 1)

When you’re considering whether or not to implement Kubernetes, perhaps the first question to ask yourself is do you need it at all?

The point of any technology isn’t the technology itself. When done right, Kubernetes can reduce the barrier of entry for application developers so they can get features from their machines to your customers as quickly and easily as possible. But do you already have a solution that works well? If you do, why do you want to change it? Making such a radical change in your technology is potentially quite dangerous so what’s your motivation?

It very well might be that sticking with and improving the solution you already have offers a better cost/benefit tradeoff. It’s easy to fall into the trap of believing that simply adopting a new technology like Kubernetes will instantly solve your hard organizational or technical problems, however, we know that is seldom true.

In this blog post we’ll share some tips and tricks for evaluating your own situation to see if Kubernetes is a good fit. We’ve learned these from helping hundreds of customers adopt Kubernetes — in addition to not, when there was a better solution available. We’ll see that the question isn’t that simple to answer and there are a lot of variables to consider. In the next blog post, we’ll talk about a situation where Kubernetes can be a good fit and how to start your first Kubernetes project.

Note that these blog posts assume you already have some familiarity with Kubernetes. If you are just starting to learn, our Getting Started with Kubernetes blog series is a good place to start.

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Build and publish container images to any cloud with Infrastructure as Code

Joe Duffy Joe Duffy
Build and publish container images to any cloud with Infrastructure as Code

Going from a containerized application to a service running in the cloud requires a few steps beyond an application’s normal build-and-test cycle. Namely, it means building and publishing a container image in a registry and then consuming that image from your target environment, whether that’s Kubernetes, Amazon ECS, or another container orchestrator. It’s not enough to just write a Dockerfile — you will need to pick a container registry, decide whether that registry should be public or private, authenticate against it, and ideally automate deploying subsequent updates. Infrastructure as code to the rescue! In this article, we’ll see how to build, publish, and consume a simple container image across any cloud, using just a few lines of code.

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re:Invent 2020 EKS Feature Releases

Sophia Parafina Sophia Parafina
re:Invent 2020 EKS Feature Releases

Amazon announced several Elastic Kubernetes Service feature releases and updates during the first week of AWS re:Invent 2020. If we look at all the announcements as a whole, we can see the Kubernetes ecosystem maturing to make deployments and management easier for organizations. Let’s take a look at how they can benefit your use of EKS.

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Get Up and Running with Azure Synapse and Pulumi

Mikhail Shilkov Mikhail Shilkov
Get Up and Running with Azure Synapse and Pulumi

Azure Synapse is an integrated analytics service that combines enterprise data warehousing of Azure SQL Data Warehouse and Big Data analytics of Apache Spark. Azure Synapse is a managed service well integrated with other Azure services for data ingestion and business analytics.

You could use the Azure portal to get started with Azure Synapse, but it can be hard to define sophisticated infrastructure for your analytics pipeline using the portal alone, and many users need to apply version control to their cloud configurations.

The alternative is to use an infrastructure as code tool to automate building and deploying cloud resources. This article demonstrates how to provision an Azure Synapse workspace using Pulumi and general-purpose programming languages like Python and C#.

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