Imagine if you had a magic box where you could keep all your business information — sales numbers, customer feedback, everything — safe and sound, but also easy to look at whenever you needed. That’s kind of what Snowflake does, but for big organizations and using the cloud. It’s a new way for companies to store and use their data without getting bogged down by the techy details.

You’re probably familiar with finding surprise, hidden charges if you’ve been using the cloud for a while. Data transfer fees are the most common source of unanticipated charges on Amazon Web Services (AWS). They can be so costly that some companies, like Netflix and Pinterest, have spent fortunes on data transfer fees — up to $30 million a year. In this post, we’ll share tips for navigating AWS data transfer costs and how you can optimize them.

As of 2023, Kubernetes firmly holds the reins of the container orchestration market with a commanding 92% market share, underscoring its position as the unparalleled leader in this domain. Celebrated for its exceptional scalability, robustness, and flexibility, Kubernetes boasts widespread integration across numerous industries, supported by development efforts from more than 7,500 companies.

Cloud cost optimization refers to reducing overall cloud spending by identifying mismanaged resources, eliminating waste, reserving capacity for higher discounts, and right-sizing computing services to scale. In the modern business environment, where agility and efficiency are paramount, mastering cloud cost optimization reduces expenses and strategically allocates resources to drive innovation and growth.

Understanding Amazon Elastic Block Store (EBS) pricing is fundamental for any organization using AWS to manage their cloud costs effectively. Amazon EBS provides the storage your cloud applications need to run smoothly. However, it’s equally important to understand its pricing to keep your cloud spending in check. This guide aims to simplify Amazon EBS pricing and offers practical tips on managing and reducing these costs. But first, what is it?

Big data empowers enterprises to uncover valuable insights and make sound business decisions. The rigid schemas of traditional databases are increasingly unable to meet the demands of today’s data-hungry businesses. Enter data lakes — a modern approach to data management that harnesses the power of big data to unlock actionable intelligence. Here are insights you need to know right now.

Erik Peterson, founder and CTO at CloudZero, recently interviewed John-Cade “JC” Griffin to discuss how the CloudZero platform has influenced aspects of cloud financial management — such as engineering-led optimization — within his company. Some fascinating nuggets of wisdom emerged from the conversation — everything from how to answer those tricky cost questions every SaaS company struggles with to how to encourage engineers to start building with cost efficiency in mind.

As a cloud cost intelligence solution, we often get asked where we fit in the cloud cost universe — and whether or not we’re an alternative to CloudHealth. The short answer is: it depends. The landscape of cloud cost tools is busy, with lots of different solutions that take different approaches to helping companies optimize their cloud costs. To help answer this question, we thought we’d lay out the cloud cost landscape as we see it.

In today’s fast-paced cloud environment, understanding the pricing model of some of the best cloud monitoring tools like Datadog is essential in optimizing costs. With several features and adaptable pricing, clarifying Datadog costs and aligning them with your organization’s operational needs is vital for fully harnessing this robust monitoring tool. This guide simplifies Datadog pricing, offering a clear overview of its cost structure.