This episode explains why Power Automate often creates more problems than it solves when used at scale. While it works well for simple, user-driven tasks, it breaks down with complex workflows due to throttling, weak error handling, and limited scalability.…
Most Power BI environments start fast and stall under copy-paste sprawl: duplicated PBIX files, conflicting measures, and “spreadmart” dashboards that nobody fully trusts. The fix isn’t another naming convention—it’s a model-first architecture. Microsoft…
This episode challenges one of the most common assumptions in the Microsoft ecosystem: 👉 “If it’s Microsoft, it must already be secure.” The reality is the opposite. Power Platform is enterprise-grade secure by design—but becomes risky the moment governance…
The episode argues that traditional software development—built on hard-coded, monolithic systems and long delivery cycles—is no longer viable for modern enterprises. What used to be considered “enterprise-grade” is now a bottleneck that slows innovation and…
The episode argues that legacy Power Apps portals (now Power Pages) and similar older solutions act as a “silent budget killer” inside organizations. They continue to run and consume resources, but deliver little ongoing value. The core issue is not just the…
Engineering dashboards look greener than ever in the age of AI-generated code, yet incidents, review queues and developer burnout keep rising. This episode helps engineering leaders and IT decision makers see through the productivity illusion and shows which…
Your dashboards aren’t just slow—they’re expensive. Every bloated column, lazy import, and tangled relationship silently taxes your Power BI Premium capacity and your team’s time. That inefficiency adds up to real money—often five figures a year. The cure…
Most organizations believe efficiency improvements come from better tools or faster processes. But the biggest gains rarely come from new software. They come from architectural decisions. In this episode of the M365 FM Podcast, we explore how organizations…
Many Power Platform tenants drown in undocumented apps, fragile web resources and duplicated grids. This episode is for architects and platform owners who want to see the Power Apps component framework as a governance layer, with solutions, ALM, catalogs and…
This episode explains that most industry certifications validate task execution but not architectural authority, meaning many certified professionals never see the salary growth or career opportunities they expect. It argues that credential inflation has made…
Writing readable code is one of the most underrated skills in software development, and in this episode we break down exactly why it matters and how developers can master it. You’ll learn what truly makes code readable, how clean-code principles like the…
Tackling Technical Debt: Protecting Your Path to $1M ARR · Mirko Peters Welcome back, fellow tech leaders and builders! If you are in the trenches trying to scale your startup, you already know that the journey to your first million in …
Building a Robust Validation Framework for AI Projects · Mirko Peters Incomplete testing can expose your applications to severe security risks, bias, and ungrounded outputs. Learn how to establish a strong validation framework using p…
Speed can mask fragility: generated output may be read-only, prompts can be ambiguous and licensing can be hidden. Technical debt also shifts toward platform dependency and the discipline of regenerating pages. · From the episode: Canvas App UI vs Generative Pages
What are ghost flows?
Ghost flows are automations without clear ownership. They raise the technical debt ratio and make the platform unstable, because nobody maintains or understands them. Assigning owners and auditing flows regularly addresses the problem. · From the episode: Power Automate vs Azure Logic Apps for…
What is the hardcoding trap?
It is the situation where rigid, hand-coded systems lock a business into slow change. Quick fixes instead of real refactoring pile up technical debt, so every custom line creates future headaches, slows response to change and raises costs. · From the episode: Why Low-Code Is Becoming the Enterprise…
Why can AI break engineering KPIs?
Metrics like deployment frequency or lead time can improve while review queues grow, technical debt rises and code needs constant rewrites, so dashboards show activity rather than system health. · From the episode: The Productivity Illusion
What is technical debt and why does it matter?
Technical debt is the shortcuts taken in development that cause future complications when speed is prioritized over quality. Fix debt that blocks critical work and causes repeated bugs first, using agile refactoring. · From the episode: Architect $1M in Efficiency with Power…
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