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.
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.
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.
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?
In previous articles, we looked at how platform engineering fixes infrastructure chaos, enables self-service, and improves developer workflows. These pillars work together to boost both developer productivity and organizational speed.
But there’s still one critical element that can make or break all this progress: security.
Traditional security efforts — even “shift-left” initiatives — often create friction instead of clearing the way for innovation. Embedding security directly into your platform changes that. By weaving in policy-as-code, centralized secrets management, and identity-based authentication, you turn security from a blocker into an enabler. And with the right metrics, you can measure how well your platform balances protection and speed.
In the last article in this Platform Engineering Pillars series, we explored how self-service infrastructure sets developers free from bottlenecks and dependency gates. By providing reusable infrastructure modules and intent-based configurations, platform teams dramatically reduce infrastructure friction. This sefl-service then powers faster deployments, increased autonomy, and fewer delays.
But infrastructure provisioning alone doesn’t ensure happy, productive developers. Even with efficient, streamlined infrastructure interactions, developers still battle daily hurdles: from inconsistent local dev setups and sluggish CI/CD pipelines to poor documentation and fragmented knowledge. These obstacles quietly chip away at momentum, reduce feature velocity, and increase operational overhead.
Previous articles in this series explored platform engineering principles and how Infrastructure as Code creates a solid foundation. But there’s still an important challenge to address: the infrastructure provisioning process itself. Without proper modularity and a clear separation between intent and infrastructure details, things get messy—leading to friction, delays, and unnecessary complexity.
Provisioning is the first pillar of platform engineering. Without consistent infrastructure provisioning – the automated creation and management of the underlying cloud resources – the rest of the platform suffers. Self-service, governance, and streamlined developer workflows all depend on it. Ultimately, a self-service layer on top of your cloud infrastructure is the goal, enabling developers to quickly and safely provision the resources they need, while adhering to organizational best practices and policies. But before self-service, the foundation of a good IDP is a robust and reliable provisioning system.
By defining cloud resources as code and automating deployments, platform engineering teams ensure every environment – development, staging, and production – stays consistent and maintainable. This cuts down on configuration drift, reduces manual work, and supports auditable, collaborative workflows for every change.
Let’s explore how platform engineering teams can achieve this by version-controlling infrastructure, automating deployments, separating environments properly, and limiting console interventions. By applying these principles, teams can create a platform where developers can move fast without breaking things, and where infrastructure supports innovation rather than slowing it down.
Software drives innovation. Development teams face pressure to ship features faster. But speed collides with infrastructure complexity. Developers struggle with cloud setups, juggle scattered tools, and wait on operations teams for resources. The result is friction and slower innovation.
This is where Platform Engineering comes in. It helps developers move faster by creating tools that actually work. A good internal platform lets teams self-serve infrastructure, find documentation, follow best practices, and focus on what they do best: writing useful software.
Building a platform isn’t about finding one perfect tool. It’s about assembling the right pieces, or pillars. These pillars define what every successful internal developer platform needs.
This series explores these key pillars of Platform Engineering, offering a practical guide to building platforms that remove barriers to developer speed. Each pillar addresses a specific challenge organizations face when scaling developer productivity. The first challenge is overcoming infrastructure chaos.
Most developers maintain at least one low-traffic service that still needs to be reliably available. It might be an internal reporting API that gets a few calls per hour or a side project with occasional use. While these services don’t handle much load, they need to exist and remain responsive.
This creates an interesting hosting challenge: how do you maintain high availability for services that might only handle a few thousand requests per month? Traditional hosting approaches mean paying for 24/7 server time, even when your service sits idle.
These services present a unique challenge: they need to be reliable when called but get less than 500,000 requests a month.
