Reginald Mullin

Using Story Points to calculate CapEx (Capital Expenditure) and OpEx (Operational Expenditure) in finance involves a combination of project management estimation and financial classification of work efforts. Story Points themselves are abstract units of effort and don’t map directly to dollars, so you'll need to translate them into time and cost first, and then assign them as either CapEx or OpEx based on Generally Accepted Accounting Principles (GAAP). Usually, CapEx/OpEx applies only to full-time Software Engineers (SWEs) and Quality Assurance Engineers (QAEs). It doesn’t apply to independent contractors or vendor teams. As such, only Story Points completed by full-time SWEs/QAEs should be used in your calculations. Moreover, only “New Development” and "Enhancement" work should be included in CapEx, while all remaining work should be included in OpEx. How to Classify Work as either CapEx or OpEx We use the following rough guideline to classify stories into CapEx or Op...

Cloud platforms like Amazon Web Services (AWS), Google Cloud, and Azure promised a revolution: infinite scalability, agility, and paying only for what you use. For many startups and enterprises, this was an irresistible siren song. But as businesses mature and scale, the melody often changes into a jarring cacophony of unexpectedly massive bills. It might be time to question the default "cloud-first" strategy. The Illusion of "Pay-As-You-Go" The "pay-as-you-go" model sounds efficient on the surface. In reality, it often means "pay for every little thing you touch," and costs can accumulate at an alarming rate, often unpredictably. A minor configuration change, a sudden surge in traffic, or an overlooked service running in the background can lead to budget overruns that make CFOs sweat. That predictable $3,000 monthly estimate can easily balloon into a $7,000 reality without clear warning signs. Beware the Hidden Costs Beyond the obvious compute ...

The field of frontend architecture is continuously evolving, with several emerging trends likely to shape the future of micro-frontend development. The increasing integration of AI and Machine Learning in frontend development holds the potential to aid in various aspects of micro-frontend architectures, such as code generation, performance optimization, personalized user experiences, and even predictive state management AI-powered tools and techniques are likely to play a growing role in simplifying and enhancing the development and management of complex frontend architectures, such as micro-frontends. AI could automate repetitive tasks, provide intelligent insights, and help optimize the performance and user experience of micro-frontend applications. The continued evolution and adoption of WebAssembly (WASM) for building high-performance web applications could also significantly impact micro-frontend architectures. WASM enables the execution of code written in languages other than Jav...

 Several prominent companies have successfully adopted micro-frontend architecture to address the challenges of scaling large and complex frontend applications. Zalando, a fashion e-commerce company, implemented micro-frontends in its website to enhance performance and scalability, enabling faster and more efficient delivery of changes and new features. Asana, a project management tool, utilized micro-frontends to improve the performance and scalability of its web application, leading to an improved user experience and quicker feature releases. eBay implemented micro-frontends in its mobile application to enhance performance and scalability, allowing for faster and more efficient delivery of new features and updates. Netflix is another prime example of a company that has successfully adopted a micro-frontend approach, decomposing their frontend into smaller, independent components to innovate rapidly and deploy new features without disrupting the entire application. Startups like C...