For the past two years, AI enthusiasts have been treated to a nonstop procession of lightspeed innovations. ChatGPT rang the era in with a bang; millions of blogs, emails, trivia questions, and sonnets later, Microsoft etched the writing on the wall with its $10 billion investment in OpenAI, ChatGPT’s progenitor. Since then, companies from Alphabet to Zoom have scrambled to somehow, some way, integrate AI into their core offerings.

Snowflake and Databricks are both robust data platforms. Both are built for speed, scale, and cloud-native applications. They also prioritize efficiency and adherence to strict data protection protocols. Yet each adopts a distinct approach and features suited to its architecture and various use cases. It is these differences that can make all the difference in the way your data is processed, analyzed, reported, and more.

As of 2024, the global serverless computing market is projected to reach a value of USD 21.9 billion, with expectations to grow to USD 44.7 billion by 2029. Around 70% of organizations using AWS have adopted at least one serverless solution. The adoption rates for Google Cloud and Azure are 60% and 49%, respectively. These numbers affirm that serverless is here to stay, and the demand for platforms to create and run applications is higher than ever. AWS Lambda is the most popular serverless platform.

The easier it is for you to get data into CloudZero, the easier it’ll be to maximize your cloud efficiency. This month’s updates have entirely to do with ease of use: a drag-and-drop method to get unit cost metric data into the product, an improved MongoDB integration, and continued improvements to our AnyCost API and cost integrations.

Amazon Redshift processes petabytes of data, making it one of the most popular data warehousing solutions on the market. It uses Massively Parallel Processing (MPP) technology to process massive volumes of data at lightning speeds. Plus, Redshift costs a fraction of the cost of other data platforms. This guide will provide a deeper understanding of Redshift to help you determine whether it’s the best data warehouse solution for your organization.

As 2024 peeks into 2025, cloud-driven businesses are poised for yet another year of record cloud spending. After exceeding $675B this year, cloud spenders are expected to shell out more than $820B in 2025 (Gartner). But as any good unit economist knows, it’s not just that cloud costs are growing, it’s that they’re growing inefficiently — taking too big a bite out of companies’ profits.

Your IT infrastructure, resources, and components play a crucial role in your system performance, security, and overall health. Provisioning is often one of the very first steps toward setting up the right environment for your workload requirements – both locally and in the cloud. Here’s a handy guide to how provisioning works in IT. We’ll also share a tool to help you prevent overprovisioning and waste by automating provisioning in the cloud.

Snowflake is special for several reasons. To begin with, its architecture separates storage and compute, making it fast, highly scalable, and efficient. Snowflake’s cloud-native, SaaS, and serverless approach also means you don’t have to worry about provisioning servers on-premises. Instead, you just need a Snowflake subscription; their team will handle the handy work on your behalf. At CloudZero, we use Snowflake for these and several more reasons.

We uncovered over $1.7 million of annualized cloud savings a few months ago. The key to getting here was understanding the whos, whats, and whys of our costs as they were. Well, that’s three things, but you get the idea. Now here’s the thing. The key to understanding your Amazon Web Services (AWS) costs is to know what you are paying for and why. To understand these two, you have first to understand what you’re paying, right?

As of 2024, 89% of organizations are using a multi-cloud strategy. Among the reasons for this shift are avoiding vendor lock-in and achieving scalability and cost-effectiveness. Yet, maximizing the value of investments in multi-cloud environments is a major challenge. That’s where multi-cloud FinOps solutions like Ternary come in — or, as you’ll see in this guide, where the top Ternary alternatives can take the lead.