As many companies shift from traditional IT infrastructure to cloud computing, they are also rethinking how they handle cloud costs — from accounting to tax reporting. Computing costs are predictable and relatively fixed in traditional IT environments. An organization purchases computing capacity upfront and uses it over time. The total cost of ownership is fairly easier to calculate with this setup. By contrast, cloud computing operates on a pay-as-you-go basis, with no upfront payments.

Amazon’s Relational Database Service (Amazon RDS) offers a variety of database instances, which can be confusing at first. In this guide, we'll clarify what each RDS instance class, family, type, and size means in under 15 minutes. Let's start at the beginning.

Pepperdata’s ability to halve cloud costs at top enterprises may seem radical and new, but it’s absolutely not. Pepperdata has been hardened and battle tested since 2012, and our software is currently deployed on about 100,000 instances and nodes across some of the largest and most complex cloud deployments in the world. We’re an AWS ISV Accelerate partner focused on helping customers save money running Spark on Amazon EMR and Spark and microservices on Amazon EKS.

Cloud computing is among the roles occupied by 9.1 million people in the tech industry. With “tech jobs” appearing in 255,000 Google monthly searches and tech job listings increasing by 25% in the U.S., which are the best cities to pursue a career in tech?

Amazon Web Services (AWS) offers over 200 fully-featured services. AWS Elastic Compute Cloud (EC2), Elastic Container Service (ECS), Amazon Lambda, and the AWS Simple Storage Service (Amazon S3) are some of the most critical services you should become familiar with. We’ve covered Amazon ECS vs. EKS vs. Fargate for managing and deploying containers before. In this guide, we'll explain how Amazon EC2, Lambda, ECS, and S3 compare and when you’ll want to use each.

Kubernetes, or K8s, is an open-source, portable, and scalable container orchestration platform. With K8s, you can reliably manage distributed systems for your applications, enabling declarative configuration and automatic deployment. Yet, K8s can be resource-intensive and costly, with a rather steep learning curve. But in 2019, a lighter, faster, and potentially more cost-effective alternative appeared: K3s. Still, K3s is not a magic wand that works for all Kubernetes deployments.

In the last couple years, the SaaS world has undergone a paradigm shift with regard to cloud spending. As macroeconomic conditions shift from “peachy” to “moldy,” as SaaS grows increasingly crowded, as company valuations face new pressure, and as venture funding cools down, companies are looking to reduce — or in industry jargon, “optimize” — their cloud spending as much as possible, as soon as possible.

The latest cloud cost news is primarily good news: Each of the major cloud providers released changes that could improve your bottom line: Dive into the details below.

Rethinking Cost Optimization Cost Optimization is a term that has been around for a while when discussing Cloud cost, and to a larger extent the practice of FinOps. It is usually what most people associate with FinOps when they hear those terms initially, but is that the correct term to use?