In previous articles in this series, we’ve explored how platform engineering transforms infrastructure chaos into consistent provisioning, empowers engineering teams through self-service infrastructure, optimizes workflows, embeds security directly into your platform, and provides observability as a superpower. Each pillar builds upon the previous ones, creating a cohesive foundation that accelerates innovation and productivity.

But as your platform scales, new challenges inevitably emerge. You’ve empowered engineering teams with self-service infrastructure, streamlined workflows, and embedded security directly into your platform. But as your platform scales, new challenges emerge: How do you ensure consistency, compliance, and cost control without slowing your teams down?

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Engineering teams drown in observability tool sprawl, alert fatigue, and reactive debugging that turns 3AM incidents into hours-long fire drills. Learn how embedding observability into your platform with centralized service dashboards, actionable alerts, and built-in instrumentation transforms reactive firefighting into proactive innovation, enabling teams to resolve major incidents in minutes instead of hours.

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Cloud development is accelerating at an unprecedented pace, fueled by AI and the relentless drive for innovation. But this incredible speed demands unwavering trust in your security posture. How do you empower teams to deploy rapidly and frequently without opening doors to risk or violating compliance mandates? Today, we’re thrilled to answer that critical challenge by introducing Pulumi Identity and Access Management (IAM) – a foundational new capability designed to embed robust, granular security directly into your cloud development lifecycle, enabling you to innovate both quickly and safely with Pulumi. Pulumi IAM provides the unified framework for fine-grained authorization needed to confidently manage modern cloud infrastructure and applications across the entire Pulumi Cloud platform.

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Infrastructure teams struggle with growing YAML configurations and CloudFormation templates that take hours to understand and deploy. Daniel Ward, Microsoft MVP and consultant, shares proven strategies for transitioning teams to programming languages like those supported by Pulumi, including the 10% rule for change management and viral adoption techniques.

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SEITENBAU GmbH faced a unique challenge - building a platform for 20+ independent projects, each with different tech stacks, deployment targets, and operational models. Instead of forcing standardization, they built an infrastructure buffet using Pulumi.

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We’re excited to announce the new AI capabilities for Pulumi CLI powered by Pulumi Copilot that translate complex infrastructure changes into clear, human-readable explanations and help resolve deployment errors with actionable guidance. Enable these preview features with the --copilot flag.

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At Pulumi, we are committed to accelerating your cloud infrastructure journey by eliminating barriers between your teams and the tools they need. Today, we’re thrilled to announce a game-changing milestone that puts unprecedented power in your hands: the v1.0.0 release of the Pulumi Go Provider SDK!

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Overcoming the cost and complexity of multi-cloud environments and managing infrastructure more effectively is a perpetual challenge. For thousands of companies growing Platform Engineering skills, the solution to these challenges may be closer than you think.

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Managing large-scale infrastructure can be challenging, especially when you need to perform operations on specific subsets of your resources. Pulumi’s stack operations like pulumi up and pulumi destroy are powerful for deploying and tearing down environments, but sometimes you need more fine-grained control over which resources are affected.

Today, we’re excited to announce a highly requested feature that will save you time and reduce complexity in your workflows: the ability to exclude specific resources from stack operations using the new --exclude and --exclude-dependents flags.

These new flags complement the existing --target functionality, giving you powerful options whether you want to focus on a small subset of resources or exclude just a few from larger operations. No more workarounds or custom scripts to achieve selective deployments!

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Platform engineering has emerged as a hot area, but is it truly an evolutionary step toward a greater way of developing and operating software? Or is it merely a fad and a rebranding of existing ideas?

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