For SaaS companies, the cloud plays a significant role in product creation and delivery. As one of the top drivers of COGS, cloud costs have a major impact on key financial metrics and can dramatically impact revenue and valuation. However, that creates a scenario ripe for conflict: Engineers make important decisions about features and functionality without clear insight into how those decisions will impact spending—and finance continuously gets surprised by seemingly exorbitant cloud bills.

With our recent announcement regarding the general availability of Ocean for Azure Kubernetes Service (AKS), I decided to migrate one of our production services. The service was already running on AKS, but will now be managed by Spot’s Ocean for AKS. TL;DR: The results are pretty cool, as I was able to cut 82% out of the existing spending for this AKS cluster. You can see the results in the screen capture below.

While modernizing IT infrastructure, securing data, and ensuring high availability are high priorities, optimizing AWS costs and utilization has consistently been the top priority for most companies in recent years. As a result, AWS introduced Cost and Usage Reports (CUR). AWS designed CUR to provide granular data on resource consumption and associated costs in the AWS environment.

Ocean automates cloud infrastructure for containers. It continuously analyzes how your containers are using infrastructure, automatically scaling compute resources to maximize utilization without sacrificing availability. Ocean shuffles workloads and then scales down underutilized nodes to ensure everything runs at the lowest cost.

Site reliability engineering (SRE) is fast becoming an essential aspect of modern IT operations, particularly in highly scaled, big data environments. As businesses and industries shift to the digital and embrace new IT infrastructures and technologies to remain operational and competitive, the need for a new approach for IT teams to find and manage the balance between launching new systems and features and ensuring these are intuitive, reliable, and friendly for end users has intensified as well.

Investors have fallen back in love with profitability. This followed an almost two decade love affair with top-line revenue growth. The growth-at-all-costs paradigm enabled what I call cost-agnostic innovation: If it brings in more customers and revenue, build it — no matter how much it costs. When cash is abundant, investors can afford long-term risk, and cost-agnostic innovation works.

Amazon Web Services (AWS) offers Cost Categories and tagging to help its customers track cloud usage and associated costs. But AWS customers still struggled to connect cloud costs with the products or people who build them despite endless tagging and defining Cost Categories. So, AWS announced Split Charges. This post walks you through what AWS Split Charges are, how they're configured, and how Split Charge rules work.

Amazon Web Services (AWS) provides over 200 fully-featured services, that aim to make the cloud affordable and cost-efficient for the companies that use the popular cloud provider. Yet, the average AWS customer wastes 30% to 35% of their cloud budget on unnecessary costs. But why? Many organizations running on AWS report challenges managing their infrastructure — and some engineers feel their native tools simply do not cut it for managing their enterprise applications.

For most companies it’s difficult to organize cloud spend because it relies on manual effort, like tagging. At CloudZero, we’re dedicated to helping customers make sense of their cloud investment without manual and repetitive work. Our code-driven approach to cost allocation makes it easy for customers to organize spend even if they have poor tagging, shared resources, or containerized infrastructure. Quite simply, we organize cloud spend better than anyone else in the world.

The past two years have seen erratic cloud spend thanks to the upheaval caused by the global pandemic. Looking ahead to 2022, business is beginning to normalize. Within that “new normal,” there is no question that cloud is more popular than ever, and Kubernetes is at an all-time high. Some companies are continuing to operate remote, or find that they are thriving thanks to an investment in the cloud.