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 […]
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 […]
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 […]
