AWS Step Functions lets you build applications by connecting AWS services. Daisy-chaining steps into a workflow simplifies application development by creating a state machine diagram which shows how services are connected to each other in your application. We’ll go into the details of creating a lambda function, IAM roles and policies, and creating a workflow. Once we have the example deployed, we’ll walk through the process of adding another function and step to the workflow. Included in the walkthrough is a discussion of one of the aspects of the Pulumi programming model. The goal of this article is to provide a foundation for building your application using serverless workflows.

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Modern applications have brought many benefits and improvements, including the ability to scale and rapid iterations to update software. However, this has come at the cost of complexity. Modern infrastructure is composed of many resources that require detailed configuration to work correctly and securely. Even managed solutions from cloud service providers need additional configuration to ensure that services are secure and free of defects. Cloud providers, such as AWS, do allow you to create policies to ensure that applications are secure, but they are specific to resources that are already deployed. A significant benefit of Policy as Code is the ability to verify and spot problems before deploying your infrastructure.

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Google Cloud Run is the latest addition to the serverless compute family. While it may look similar to existing services of public cloud, the feature set makes Cloud Run unique: Docker as a deployment package enables using any language, runtime, framework, or library that can respond to an HTTP request. Automatic scaling, including scale to zero, means you pay for what you consume with no fixed cost and no management overhead.

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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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Pulumi has many resource providers that allow you to interact with your favorite cloud or resource. There are times when a provider may not deliver on the specific task that you want to accomplish. Dynamic Providers can be a powerful tool to help accomplish your infrastructure tasks.

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The Amazon Web Services (AWS) Cloud ecosystem is large and vibrant, so vast and vibrant that at times, it can be challenging to know where best to start! In the case of containers, Abby Fuller tweeted a descriptive summary about using AWS container services.

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As we celebrate another incredible year in the books here at Pulumi, I wanted to share some reflections about our most exciting milestones over the past twelve months. The best part has been connecting with more customers worldwide, as we saw more than a 15x growth in our customer base, surely a sign of big things to come in 2020. We couldn’t have done it without our amazing community; thank you deeply for your continued support and passion around Pulumi’s bold mission to empower every engineer to program the cloud — you make it all worthwhile.

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We recently announced a new policy as code solution, CrossGuard that validates policies at deployment time. Policies are expressed as code and are used to prevent the creation of out-of-compliance resources. This allows an organization to prevent entire classes of security and reliability defects to ensure infrastructure is following best practices. Because policies are written using full-blown programming languages, it’s possible to do interesting things such as combining IAM Access Analyzer and Pulumi CrossGuard. In this post, we’ll take a closer look at the different types of policies that can be written.

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AWS Lambda cold starts (the time it takes for AWS to assign a worker to a request) are a major frustration point of many serverless programmers. In this article, we will take a look at the problem of latency-critical serverless applications, and how Provisioned Concurrency impacts the status-quo. Concurrency Model of AWS Lambda Despite being serverless, AWS Lambda uses lightweight containers to process incoming requests. Every container, or worker, can process only a single request at any given time.

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Last month, we announced .NET support for Pulumi, including support for AWS, Azure, GCP, and many other clouds. One of the biggest questions we heard was about Kubernetes — “can I use Pulumi to manage Kubernetes infrastructure in C#, F#, and VB.NET as I can already in TypeScript and Python today?” With last week’s release of Pulumi.Kubernetes on NuGet, you can now also deploy Kubernetes infrastructure using your favorite .NET languages.

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