Warum Architekturdiagramme veralten — und wie man es dauerhaft behebt
TL;DR — Architekturdiagramme veralten, weil sie außerhalb der Codebasis leben — kein Pull Request erzwingt eine Aktualisierung, wenn eine Service-Abhängigkeit im Code hinzugefügt wird. Die Lösung: Service-Definitionen in versionierten YAML-Dateien im Repo speichern, im selben Review-Prozess wie Code prüfen und als interaktiven Graphen rendern — dann hört die Dokumentation auf zu driften. architektur guide implementation […]
Why Architecture Diagrams Go Stale (And How to Fix It for Good)
TL;DR — Architecture diagrams go stale because they live outside the codebase — no pull request enforces an update when a dependency is added in code, so documentation drifts silently until it misleads the next on-call engineer or new joiner. The fix is to define service relationships in YAML files that live in Git, reviewed […]
Autoscaling Reaction Time: Why It Matters for Reliable Cloud Systems
TL;DR — Autoscaling is a delayed response system, not instant elasticity — from metric detection to new capacity accepting traffic typically takes 30 seconds to 3 minutes. Understanding and designing for this reaction window is critical: systems that don’t tolerate the delay will cascade under sudden spikes before scaling even kicks in. The fix is […]
Cloud Consulting Berlin: DevOps Services for AWS, Azure, and GCP
Cloud & DevOps Consulting in Berlin We are a Berlin-based engineering consultancy helping companies build faster, cheaper, and more resilient cloud infrastructure on AWS, Azure, and Google Cloud. What We Do Cloud Infrastructure Design Architecture review and design for AWS, Azure, and GCP — built for your workload, not a generic template. We design multi-account […]
Autoscaling is Not Capacity Planning: Understanding the Differences for Optimal Performance
TL;DR — Autoscaling reacts to load that has already occurred — new servers take time to provision and metrics lag behind real-time demand. For predictable spikes (launches, campaigns, seasonal peaks), you need proactive capacity planning to provision resources before the event. Use autoscaling as a safety net for unexpected variance, not as your primary capacity […]
Shrink Your Docker Image by up to 95% — Boost Efficiency and Security!
TL;DR — Bloated Docker images slow deployments, waste storage, and widen your attack surface. Using multi-stage builds, minimal base images (Alpine/distroless), combined RUN layers, and a non-root user can shrink images by up to 95% — faster deploys, lower costs, and better security with no change to application behavior. Shrink Your Docker Image by up […]
Azure vs AWS: Understanding the Basics of Cloud Organization
Azure vs AWS: Understanding the Basics of Cloud Organization When navigating the world of cloud computing, two giants often come to mind: Microsoft Azure and Amazon Web Services (AWS). While both platforms provide robust cloud solutions, their approach to structuring and organizing resources varies. If you’ve worked in Azure, you’re familiar with tenants, subscriptions, and […]
How We Reduced a Client’s Cloud Bill by 98.6% Overnight: A FinOps Case Study
TL;DR — A client was spending $701/month on a full Kubernetes-based Discourse stack — for a forum with discussions disabled. By asking “do we even need a forum engine?”, we migrated the content to a static site on S3 + CloudFront and cut the bill to ~$10/month: a 98.6% reduction overnight. The biggest FinOps wins […]
Windows Containers: The Hidden Backbone of Enterprise Modernization
Windows Containers: The Hidden Backbone of Enterprise Modernization Windows containers often evoke a mixed bag of emotions in the enterprise tech world. Despite making up only 10-15% of container deployments, they are a critical component in modernizing legacy Windows applications without a complete system overhaul. Let’s delve into why Windows containers matter, their current landscape […]
