Posts Tagged platform-engineering

We’re constantly evolving the New Project Wizard to make it the preferred choice for platform teams to empower their internal teams to deploy resources quickly and in adherence to organizational standards. In January, we launched the Developer Portal Gallery to boost development velocity and reduce operational friction. Since then, we have seen strong adoption from our customers and received several new requests. We are excited to share the latest improvements we’ve made.

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“Developer experience is hard to sell,” said Cleve Littlefield, Engineering Manager at Pulumi, during a casual meeting. With experience as both an end-user developer and a lead in self-service platform implementation, Cleve’s observation stuck with me.

Though I have expertise in leading implementations and upgrades for internal platforms, none were specifically for developers. However, experience remains vital across departments, addressing tools, processes, systems, and best practices, aiming to reduce cognitive load, increase productivity, enhance collaboration, boost communication and much more.

Intriguingly, engineering teams may perceive its value differently. Therefore, we will dive into the concept of developer experience, aka DevEx, which, in truth, should translate into a competitive advantage.

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Late last year we announced Pulumi for Developer Portals: a suite of features designed to empower organizations to construct robust internal developer portals. Since launching the level of adoption and customer interest has led us to make further improvements to enhance developer productivity and collaboration in the authoring experience. We are excited to announce the latest enhancement in Pulumi Cloud: the introduction of a template gallery in New Project Wizard, making creating cloud infrastructure easier than ever.

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In 2024, several trends will dominate cloud computing, driving innovation, efficiency, and scalability. From Infrastructure as Code (IaC) to AI/ML, platform engineering to multi-cloud and hybrid strategies, and security practices, let’s explore the 10 biggest emerging trends.

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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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Pulumi’s policy as code engine, CrossGuard, is already very flexible, and can enforce custom or predefined policies across a wide variety of use cases, including security, compliance, cost, and overall best practices. CrossGuard warns or issues errors should a deployment attempt to violate a policy. Last week we announced a new extension to CrossGuard called remediation policies. Remediation policies don’t just check for compliance, they go ahead and actually fix the problems in place. This ensures that every deployment across your entire team conforms, no questions asked, while also not needing to pester end users to remember all of the rules as they write their infrastructure as code, such as tagging resources a specific way. In this post, we will dig deeper into remediation policies and their use cases.

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At Pulumi, we work with organizations that range from a few platform team members to entire departments for managing infrastructure. Many organizations, like Mercedes-Benz, have built internal developer platforms on top of Pulumi to enable developers to self-serve infrastructure templates, and partners like AWS Proton and Port have built integrations with Pulumi to enable self-service scenarios. We are thrilled to have announced yesterday the launch of our new suite of tools to build internal developer portals with Pulumi, a result of working directly with our customers to understand their problems and how Pulumi can solve it.

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Over the last two years, we’ve seen a huge surge in adoption of Pulumi by Platform Teams – centralized teams within a business responsible for building out core cloud infrastructure and providing tools to the rest of the organization to maximize the productivity, cost efficacy, compliance and velocity of application and service delivery throughout the organization. These teams use Pulumi to manage their own cloud infrastructure complexity, to offer best practices components to their organizations, to enforce organizational policy, and to drive infrastructure delivery automation.

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Today, we’re excited to introduce Pulumi ESC, a new product from Pulumi that manages and tames secrets and configuration complexity across all of your cloud infrastructure and application environments. Pulumi ESC introduces a new category of configuration-as-code product, motivated by our experience working with hundreds of Pulumi IaC customers to address their needs in managing secrets and configuration at scale within their Pulumi infrastructure and across other cloud applications and infrastructure projects.

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Running models from Hugging Face on Amazon SageMaker is a popular deployment option for AI/ML services. While the SageMaker console allows for provisioning these cloud resources, this deployment pattern is labor intensive to document and vulnerable to human errors when reproducing as a regular operations practice. Infrastructure as Code (IaC) offers a reliable and easy to duplicate deployment practice. By developing this IaC with Pulumi, practitioners can choose to write their infrastructure code in Python and seamlessly develop both AI application code and IaC code in the same language.

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