Whether you’re migrating to the cloud or have existing infrastructure, cloud spend can be a significant barrier to your success. Too small of a budget could prevent your organization from meeting your performance metrics. You can use different strategies to reduce cloud spend, such as using Spot Instances, which cost less than On-Demand Instances or scaling your infrastructure based on peak usage times.

With the addition of Graviton2 based EC2 Instances, AWS offers an on-demand alternative for decreasing cloud spend. Both Amazon and independent testing demonstrated that the general-purpose M6g instance delivered up to a 40% gain of price/performance compared to Intel m5.large instances. In addition to the M6g general-purpose instance, AWS offers instances general-purpose burstable (T4g), compute-optimized (C6g), and memory-optimized (R6g) EC2 instances.

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Delivering modern applications is complicated and requires the coordination of many moving parts. Applications are frequently updated to implement new features and improve security and performance, translating to a better user experience for your customers. To further complicate matters, infrastructure must also be deployed and maintained simultaneously with applications to avoid conflicts or dependencies.

Containerized applications deployed on Kubernetes are particularly susceptible to a misalignment between developers who frequently push changes and operators who want to maintain a stable architecture. Continuous Integration builds and tests software and delivers it as packages. Continuous Delivery or Deployment deploys applications on infrastructure. Let’s take a look at how we can accomplish CI/CD for both applications and infrastructure.

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“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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It’s a new year and it’s time to level up your cloud engineering skills. Pulumi is there to get you started on your cloud engineering journey with workshops and technical sessions.

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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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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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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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In the first article in this series, we gave you some questions to help you and others at your company decide if Kubernetes is right for you. In this post, we’ll give you an example of where Kubernetes can be a good fit.

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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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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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