Meta has agreed to spend over $10 billion on Google cloud services over the next six years, according to sources.

This deal, first reported by The Information, is part of Google's efforts to compete with Amazon Web Services and Microsoft Azure in the cloud market.

Earlier this year, Google also secured a cloud contract with OpenAI, which previously relied heavily on Microsoft Azure.

In the second quarter, Google's cloud division earned $2.83 billion in operating income from $13.6 billion in revenue, growing faster than the company overall. Meta's agreement with Google focuses on artificial intelligence infrastructure.

Last month, Meta announced it expects to spend between $114 billion and $118 billion in 2025, investing significantly in AI infrastructure and talent, and expanding its Llama models and AI services.

Kohl's just hired a new chief technology officer to help fix its struggling business. The department store brought in Steven Dee, who starts his new job on August 25th.

Dee worked at some big names before this. He was the tech boss at skincare company Rodan + Fields. Before that, he had jobs at Nike, J.Crew, and Hayneedle.

The company's interim CEO Michael Bender said they need smart tech tools to make their stores and online shopping work better together. Kohl's has been having a rough time lately with money problems.

Here's what's been going wrong:

Sales dropped 4.1% compared to last year during the spring months. The stores aren't bringing in as many customers as they used to. People are spending less money on clothes and home goods because everything costs more now.

Kohl's has been trying to turn things around since May. That's when they got a new interim CEO after firing the old one for breaking company rules. The company also hired a new digital officer in July to make their website and apps work better.

Oracle just launched a new database service that helps companies run their data across multiple locations around the world. The service is called Oracle Globally Distributed Exadata Database on Exascale Infrastructure.

The service targets several key industries.

Oracle built this on their Exascale Infrastructure, which separates computing power from storage. This means companies can add more processing power or storage space independently based on their specific needs.

The pricing model is straightforward. Companies pay based on the number of database pieces they use and how much storage they need. There are no upfront hardware costs or surprise charges.

Larry Advey, an experienced FinOps practitioner and maintainer of the FOCUS specification, shared game-changing insights on collaboration that challenge conventional wisdom about working with different personas in organizations.

According to new research from Gartner, the worldwide market for Infrastructure as a Service grew by 22.5% last year, reaching $171.8 billion in total revenue.

Amazon stayed in first place as the biggest cloud provider, making $64.8 billion and holding 37.7% of the entire market. Microsoft came in second with 23.9% market share, followed by Google, Alibaba, and Huawei. Together, these top five companies controlled over 82% of the whole market.

The main reasons behind this growth were companies wanting to use artificial intelligence tools and moving their computer systems to the cloud. Many businesses are trying to make their technology more flexible and reliable by switching from old computer systems to cloud-based ones.

Cloud companies are spending lots of money building special computer systems designed for AI work. They believe AI will bring in much more money in the future, even though it's still a small part of their business right now.

Companies want more control over where their data is stored and how it's managed. This is pushing them to gradually move to the cloud while keeping important information secure and under their control.

Jeff Barr, Amazon's Chief Evangelist for AWS, recently shared some thoughts about staying current with technology as he turned 65.

He tells a story from when he was 20 years old and working at a small tech company. At a holiday party, he talked with a senior colleague about the future of computers.

Jeff believed that small personal computers would become very important. But his older coworker disagreed and wanted to stick with the big IBM mainframe computers he already knew.

That conversation changed Jeff's thinking. He decided right then that he never wanted to become someone who refused to learn new things. He promised himself to stay up to date as technology changed over the years.

This choice served him well. Over nearly 50 years in tech, Jeff has adapted to many changes in programming languages, computer systems, and internet tools.

He watched personal computers grow from simple toys into the powerful cloud systems that run much of today's world.

Jeff also shared his excitement about Amazon's Q CLI tool. He used it to quickly build two Python programs. The first one connected to Google Photos and downloaded over 1,300 daily selfies he had stored there.

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