Startup veterans will recognize the opportunity presented by an early-stage company: You not only get to run your organization, you get to define how it runs. All the pieces may not be in place by the time you arrive, and the heart of the job becomes building the organization — the plane — while you run it.

Whether you’re a data-driven, data-informed, or data-backed organization, your data remains your most crucial business intelligence resource. All the data you collect for later analysis needs to be stored in a secure location as well. Cloud-based data warehouses offer superior performance, flexibility, and cost benefits.

The Chief Financial Officer (CFO) role has expanded significantly due to technological advancements. Today, CFOs have more responsibilities than ever, managing everything from payroll to IT and software expenses. This requires new processes and the right tools to get the necessary cost data for making smart decisions and ensuring the company’s profitability. With so many financial software options available, choosing the right one for each financial task can be challenging.

It’s not news anymore. More businesses are collecting a lot more data than they can handle. One out of ten respondents to surveys by IDC, Seagate, and Matillion said they were finding it hard to transform their data into an analytics-ready format. This does not have to be you. This snackable guide explains how modern business intelligence can help you make the most of your data.

The internet is the lifeblood of our modern world. With over 5.4 billion users globally, it connects us to friends, family, information, and opportunities. But what if the internet suddenly disappeared? What would be the cost of shutting down the internet? Internet outages, while thankfully rare, can have devastating consequences. To highlight these, we’ve delved deep into the economic impact of internet disruptions, analyzing real-world cost data to reveal just how staggering the effects can be.=

GKE is a powerful tool for managing and deploying containerized apps. As organizations expand and fully leverage its capabilities, managing costs becomes a significant challenge. Without a strategy for cutting GKE expenses, cloud spending can quickly spiral out of control. This guide aims to simplify the complexities of GKE pricing and offer actionable cost optimization tips to help you save on costs. We’ll cover insights for making your GKE usage efficient and cost-effective.

Kubernetes has emerged as the clear cornerstone for orchestrating containerized applications. However, alongside its numerous benefits, Kubernetes introduces its own set of complexities, particularly in monitoring and managing costs. The dynamic nature of Kubernetes — where resources can be scaled up or down in response to demand — makes traditional cost monitoring methods inadequate.

Here’s the thing. You frequently access some files, but not others. So, if you can determine the most appropriate storage tier for any given data/object automatically, you can transform it accordingly. That means you can save both time and money by not manually deciding which files to move to their best storage class. To help optimize things, Amazon Web Services (AWS) announced a new storage class called S3 Intelligent-Tiering Storage.

Keeping costs under control is crucial to managing projects on the Google Cloud Platform (GCP). Yet, even the most experienced teams can face unexpected increases in their cloud bills. These surprises, known as cost anomalies, can disrupt budgets and plans. But, with the right approach and tools, you can spot these issues early and keep your cloud spending on track.

Serverless architecture has emerged as a pivotal technology for developers seeking to build scalable, efficient applications without the overhead of managing servers. At the heart of this revolution are services like AWS Lambda and API Gateway, which have redefined how we deploy and scale applications, offering a truly pay-as-you-go model that aligns operational costs directly with actual usage.