Author name: Brett Philp

Discover the Root Cause of Your Cloud Spend Issue

Your FinOps Program is Tracking the Wrong Thing TLDR; It’s ok to spend, just do it wisely/don’t focus on the dollars, focus on the decisions developers make. If you’re sick with a cold then measuring your body temperature is a wise move or maybe if things are really bad a visit to a doctor might …

Discover the Root Cause of Your Cloud Spend Issue Read More »

Our Cloud Cost Optimization Framework That Works

Getting Optimization Done TLDR; start small, safe, simple, … with a friendly (aka build trust first). We’ve seen two general approaches to getting optimization done to reduce cloud costs in our customers; the first and most popular is “the stick” where FinOps teams campaign against lines of business development teams with a mantra of “spend …

Our Cloud Cost Optimization Framework That Works Read More »

Building Organizational Trust for Cloud Optimization Software

Getting Developers to Take Action TLDR; tune the recommendation engine and people will be willing to optimize. You’ve loaded data into Densify and after reviewing recommendations of the cloud optimization software your developers don’t want to take the recommended action – they aren’t trusting, yet. This is one of the top issues identified by the …

Building Organizational Trust for Cloud Optimization Software Read More »

The Foundation of Cloud Optimization – Cloud Tagging Strategy

Figure 1, The candy is NOT free! TLDR; Cloud Tagging should be automated, not left to humans. Optimization in the cloud is actually really simple. Here’s how we get our customers thinking differently which in turn makes them successful. “To your developers the cloud is like a candy store is to a kid where all …

The Foundation of Cloud Optimization – Cloud Tagging Strategy Read More »

Forecasting Kubernetes Costs

Plan Kubernetes Memory & CPU Reservations Before Migration The benefits of containerizing workloads are numerous and proven. But, during infrastructure transformations, organizations are experiencing common, consistent challenges that interfere with accurately forecasting the costs for hosting workloads in Kubernetes (K8s). Planning the proper reservations for CPU and memory before migrating to containers is a persistent …

Forecasting Kubernetes Costs Read More »