Cost Optimization for Public Cloud Workloads (on demand)

Experts from Basefarm’s Professional Services team discuss their approach to cost optimizing customer workloads in Public Cloud, we’ll discuss how we approach a customer workload, the tools available to help identity where cost is being generated unnecessarily and what kinds of changes can be made to reduce cost, from simple changes customers can make today, to more complex architectural changes that can reduce operating cost over the long term. This discussion will focus on optimizing existing workloads deployed on AWS, Azure or GCP, we will talk about general best practices, as well as some specific considerations that apply to each cloud provider.

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What you can expect

How we approach Cost Optimization engagements with our customers, using best practices and proven frameworks, touching on resource sizing and pricing models to architectural changes and rounding off with changes in governance.