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Cloud & AI Cost Management
On-demand Webinar
On-demand Webinar

Cloud-Native Architecture Meets Cloud Cost | Harness Resource

Cloud-native systems promise agility, speed, and scale—but they also open the door to unpredictable cloud bills. For architects, this creates a new design responsibility: building cost awareness into the foundation of the system itself.

In this practical session, you'll learn how Infrastructure-as-Code (IaC) can do more than automate deployments—it can help embed cost-efficiency into your architecture from day one. We’ll explore how design choices like autoscaling, ephemeral environments, and workload segmentation directly affect your cloud spend, and how to codify those decisions using IaC for consistency and control.You'll learn how to:

  • Architect for cost-aware scale using IaC-driven patterns
  • Align cloud-native principles with real-world cost optimization
  • Build systems that adapt to changing demand without overspending

Whether you're designing new services or evolving a legacy architecture, this webinar will help you use IaC not just as a delivery tool—but as a design discipline.

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Published
January 1, 2024

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Cloud & AI Cost Management

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What you'll learn

Key Takeaways

Integrate Cost Estimation into Pull Requests

Embed cost estimation directly into the deployment pipeline or pull request process. This makes the financial impact of infrastructure changes visible to developers before any resources are actually provisioned.

Build Golden Path Infrastructure Modules

Create reusable infrastructure-as-code modules configured with cost-optimized, sane defaults. This standardizes deployments and prevents expensive misconfigurations without requiring extra effort from development teams.

Balance Standardization with Developer Flexibility

Avoid over-restricting infrastructure modules, which can hinder teams using specialized setups like spot instances. Instead, use policy agents to provide flexible guardrails and warnings that guide developers toward cost-effective choices.

Account for Hidden Architectural Costs

Cloud spend goes beyond the monthly infrastructure bill. Complex or poorly structured architectures incur additional organizational costs through technical debt and reduced developer productivity.

Apply AI Cautiously to Infrastructure

While machine learning is highly effective for right-sizing resource recommendations, generative AI should be used carefully. Probabilistic models can conflict with the strict, declarative nature required for reliable infrastructure-as-code deployments.