Overview
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Systems rarely fail because nobody knew how to write the code. They fail because a decision made two years ago was never revisited.
This specialization is about those decisions.
Availability comes first. What it means, how to measure it, and how service tiers and clear ownership stop one failure from taking everything down with it.
Then cloud architecture. You'll place workloads on the deployment spectrum, decide buy versus build with lock-in priced instead of feared, and put cost on an architecture diagram.
Then risk. You'll build a matrix for your own systems and defend every row of it.
Most training at this level teaches a vendor's console or a certification syllabus. This teaches the judgment sitting above both.
Real services get named as examples throughout, and no lesson is built around any one of them, so the reasoning stays useful as the platforms keep changing. The frameworks come from years of building and running systems at scale, and from the failures that taught them.
You'll finish able to defend an architecture decision to your engineers and to your CFO in the same conversation.
Syllabus
- Course 1: Scalable Availability in Software Architecture
- Course 2: Cloud Architecture for Scalable Systems
- Course 3: Risk Management for Scalable Systems
Courses
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Scalable Availability in Software Architecture is designed for software architects, operations architects, and aspiring architects who need to build and manage modern, high-scale applications that maintain exceptional availability while managing complexity and risk. Whether you're architecting SaaS applications, e-commerce platforms, or enterprise systems, you'll learn practical techniques for making critical architectural decisions, managing service dependencies, implementing cloud-native patterns, and building systems that can grow with your business needs while maintaining the reliability your customers demand.
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By the end of this course, you'll be able to place any workload on the cloud deployment spectrum, from fully public to fully private, and defend where you put it. You'll tell a deliberate multi-cloud strategy from a multi-cloud accident. You'll decide buy versus build for managed services, with lock-in priced instead of feared. You'll run infrastructure as versioned, reviewable code. You'll design cloud-native services that actually deliver what you're paying the cloud for. And you'll read a cloud bill closely enough to put cost on an architecture diagram, then plan an incremental migration nobody notices. Most cloud training teaches you a provider's console. This course teaches the judgment that sits above it. Real services get named throughout as examples, and no lesson is built around any single vendor's offering, so the reasoning stays useful as the platforms keep changing. The frameworks come from years of building and running systems at scale. The payoff is practical. You'll be able to defend a cloud decision to your engineers and to your CFO in the same conversation.
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By the end of this course, you'll be able to build a risk matrix for your own systems and defend every row in it. You'll score likelihood and severity without letting the two collapse into each other, and you'll know where to dig for the risks nobody has written down yet. You'll keep that matrix honest with review cadences, monitoring, and game days. Mitigating a risk and removing it are different decisions with different costs, and you'll know which one you're making. You'll design service failures that are predictable, understandable, and reasonable. You'll put technical debt on the matrix with a score attached, which is how the argument for paying it down finally gets traction with the people who control the roadmap. And you'll carry a high-high list into a room full of executives and have it land. Most risk training treats risk as something to eliminate. Every complex system carries risk, so driving it to zero was never the job. This course treats risk as a portfolio you manage on purpose. The closing module covers what AI-enabled systems break about traditional risk practice. You'll finish with a working matrix you can take into your next planning meeting.
Taught by
Lee Atchison