A Pragmatic Guide to Building High-Value Internet of Things Solutions
Explore our guide to internet of things solutions. Learn to build reliable, scalable, and secure IoT systems with proven architectures and AI integration.
Read more →Insights, tutorials, and updates about technology, software development, and digital transformation.
Explore our guide to internet of things solutions. Learn to build reliable, scalable, and secure IoT systems with proven architectures and AI integration.
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A CTO's guide to digital transformation in retail. Learn pragmatic architecture, AI integration, and incremental delivery for scalable, secure systems.
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A pragmatic guide to cloud computing disaster recovery. Learn to design, implement, and test resilient architectures for modern SaaS and AI applications.
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A practical guide to SOA Service Oriented Architecture for CTOs. Learn core principles, patterns, and strategic value for building scalable enterprise systems.
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A definitive on-premises vs cloud comparison for CTOs and product leaders. Analyze costs, security, and performance to make the right architectural decision.
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A pragmatic guide to the Data Processing Agreement (DPA). Understand crucial clauses, GDPR/CCPA rules, and actionable steps for your technical teams.
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A practical guide to GDPR Privacy by Design. Learn to implement engineering controls, architectural patterns, and AI governance for lasting compliance.
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A practical guide to disaster recovery and cloud computing. Explore architectural patterns, trade-offs, and compliance for resilient systems.
Read more →This blog is where we share how we approach software work in practice—from the first discovery session to a production release and continuous improvement. It’s not a feed of announcements: we aim for actionable notes, clear explanations, and reusable mental models. If you’re building a product, modernizing a legacy stack, or evaluating “build vs buy”, our goal is to help you make better decisions, avoid hidden costs, and ship with confidence.
Topics include web and backend engineering, API integrations, automation, quality (testing, CI/CD, observability), security, and privacy (GDPR). When we talk about AI, we keep it grounded: define the job-to-be-done, measure value, implement guardrails, and make risk visible. If you’re working on AI features, you may also like our AI Risk & Privacy Checklist.
Founders, product owners, and engineering teams who need clarity: what to prioritize, how to validate assumptions, how to manage complexity, and what “good” looks like when you’re choosing architecture or a vendor.
Each article answers a real question and ends with practical takeaways you can apply immediately. If you want to discuss your context, feel free to reach out.
How often do you publish? We prefer usefulness over cadence—new posts appear when we have something genuinely valuable (a pattern, a checklist, a guide).
Can I suggest a topic? Yes. Tell us what you’re trying to achieve and what constraints you have. We’ll either turn it into a post or answer you directly.
Want to explore what we’re building? Visit Projects for products, experiments, and active initiatives.