Evan Boyle

As infrastructure projects grow in size and complexity, you need to decompose infrastructure into smaller stacks to limit the blast radius of errors, extract and reference common layers like networking, and limit access to sensitive components. This comes with a coordination cost as you now need to figure out how to detect and propagate changes to downstream stacks in your dependency graph. Today we’re announcing two features that can help you manage this complexity by automatically updating dependent stacks:

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Today we’re excited to announce Review Stacks – dedicated cloud environments that get created automatically every time a pull request is opened, all powered by Pulumi Deployments. Open a pull request, and Pulumi Deployments will stand up a stack with your changes and the Pulumi GitHub App will add a PR comment with the outputs from your deployment. Merge the PR and Pulumi Deployments will destroy the stack and free up the associated resources.

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Delivering software has been conventionally driven by CI/CD workflows. A single commit is merged into a codebase, and a small, and static set of workflow runs are triggered by the CI system to update the appropriate environments (Dev -> Staging -> Production). This may have been fine when the only product a company had to offer was a single stateless web service, but increasingly companies are called upon to deliver cloud infrastructure as a product.

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At Pulumi we read every single error message that our API produces. This is the primary mechanism that led to a 17x YoY reduction in our error rate. You’re probably wondering how reading error messages make them go away.

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Adoption of modern cloud technologies and services is driving enormous value for organizations, but many companies are finding that deploying and managing cloud infrastructure is a bottleneck on how fast they can scale. When your tools can’t keep up, scaling your cloud footprint means proportionally scaling your headcount. Things quickly fall apart as demand for cloud infrastructure often outpaces the bandwidth of infrastructure teams. This leads to slow product releases, longer lead times to get new products to market, and burned-out operational teams.

At Pulumi, we want every engineer and organization to be able to take full advantage of the cloud. The cloud should be an accelerant to your business and not a bottleneck. Today we are excited to be launching Pulumi Deployments, a new collection of features to power infrastructure and platform automation and unlock the scale of the cloud.

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Starting today, users can create Stack READMEs in the Pulumi Service that dynamically update based on Stack Outputs.

Each Pulumi Stack you deploy manages a key set of cloud infrastructure for your organization. The Pulumi Console includes a variety of features for exposing key information about your stack for other users within your organization - configuration, outputs, resources under management, links to cloud providers, and a graph of all resources. However, it’s often useful to allow the author of a Pulumi Stack to describe in their own words the key elements of a stack, so future viewers can quickly understand the components and cloud resources that are managed.

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Today’s Infrastructure as Code platforms let organizations build rich, reliable, and complex cloud-based applications and architectures. But as teams move to modern cloud technologies, they continue to search for ways to drive increased software-driven automation. Although modern Infrastructure as Code tools bring key software engineering benefits to cloud engineering, they remain focused on human-driven workflows. For example, a person running pulumi up at their terminal or wiring the Pulumi CLI into their CI/CD system.

To scale up how we deploy and manage cloud infrastructure and ultimately unlock the cloud’s value and agility, we believe it will be critical to build software systems around our Infrastructure as Code platforms - systems that scale with software, not just humans.

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Over the last 10 years, Go has quickly become the “language of the cloud” for building application servers and services that run in and on today’s cloud platforms. With Pulumi 2.0, Go can also be used to manage and provision modern infrastructure as well. Across any cloud (AWS, Azure, GCP, Kubernetes and more than 50 others!) and across a variety of workloads (containers, serverless, kubernetes, core infrastructure and more), you can now use the rich software engineering strengths of the Go language and ecosystem to manage your cloud infrastructure. The Pulumi open source project itself has been built on Go from day 1, and so we’re really excited to bring full Go support for cloud infrastructure as code to the same language ecosystem that Pulumi itself has been part of.

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Here at Pulumi, everyone on our engineering team is a Gopher. Go has quickly become the “language of the cloud,” and so when we chose to build our open-source pulumi/pulumi engine and SaaS backend, we chose Go. As such, we are very excited to welcome Go to the family of supported infrastructure as code languages as part of Pulumi 2.0. What is Pulumi? Go has become the lingua franca of cloud-native infrastructure development.

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Whether it’s an IoT installation, a website, or a mobile app, modern software systems generate a trove of usage and performance data. While it can be daunting to collect and manage, surfacing data empowers the business to make informed product investments. In this article, we’ll explore the following: An overview of the traditional Redshift analytics stack on AWS, the use cases it excels at, and where it falls apart. An alternative architecture utilizing serverless and streaming.

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