Autoscaling Reaction Time: Why It Matters for Reliable Cloud Systems
Modern distributed systems are expected to handle sudden traffic spikes without downtime. Autoscaling solves part of that problem by automatically adding or removing compute resources based on demand. The hidden variable most teams underestimate is autoscaling reaction time. Autoscaling reaction time is the delay between a load increase and the moment new capacity becomes available […]
Autoscaling is Not Capacity Planning: Understanding the Differences for Optimal Performance
Autoscaling is Not Capacity Planning: Understanding the Differences for Optimal Performance In today’s fast-paced digital world, ensuring your website or application runs smoothly under varying traffic loads is crucial. Autoscaling has become a buzzword for managing server capacity, but it’s important to understand that autoscaling is not the same as capacity planning. This distinction can […]
Comparing the Cost of Internal Observability Platforms vs. Commercial Solutions
Comparing the Cost of Internal Observability Platforms vs. Commercial Solutions Recently, our internal team was tasked with calculating the cost of the observability platform we’ve built and maintained in-house, tailored for a specific use case within our enterprise. The results were eye-opening, especially when compared to leading commercial solutions like Grafana Labs’ Cloud offering, Splunk, […]
