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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?

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.

According to Statista, the mass volume of data created, stored, copied, and consumed in 2020 was over 64 zettabytes (ZB), or about 64 trillion gigabytes (GB). This is expected to rise to 181 ZB by the year 2025. A large portion of this data is likely to be significant to your business. It can provide you with new insights that help you improve your product, communicate with consumers, and perform risk analysis. However, you’ll need the right tools to extract, sort, process, and analyze it.

The most successful brands are data-driven. Whether it's Google, Amazon, or TikTok, they all use data to inform their next moves. But here's the thing. It's easy to collect a lot of data. Making sense of all that data is often the most challenging part. You can do that in three ways. Scripting is one option. Here, your developers code custom data integration tools in Python and Java alongside technologies like Hadoop and Spark.

If you’ve done any shopping around for a cloud cost intelligence platform, you may have heard about the “single pane of glass” approach to presenting cloud cost data. It’s a descriptive phrase uttered by almost every cloud cost company in one form or another. We may not all say it in a similar way, but it’s the same concept across the board.

It’s pretty clear that AI is changing how people consume, create, and extract data and information. When it comes to cloud costs, having everything automated can give our users personalized analysis without spending much time on it. Imagine resolving these frequent cloud cost challenges with a simple search: Get ready because this dream is about to turn into reality! Our new AI tool, CostGPT provides instant insights into cloud cost structure.