#cloud-computing

#cloud-computing

The tech hiring market is being pulled in two directions: a flood of candidates for certain roles and stark shortages in others. New survey data from Indeed highlights the unevenness of the tech talent landscape and the profound impact of AI on reshaping the skills employers need most. While many tech jobs attract an oversupply of applicants, the study found that key areas, such as cloud computing, data analytics, and AI development, are still starved for qualified professionals.

In their gold rush to build cloud and AI tools, Big Tech is also enabling unprecedented government surveillance. Thanks to reporting from The Guardian, +972 Magazine, Local Call, and The Intercept, we have insights into the murky deals between the Israeli Government and Big Tech firms. Designed to insulate governments from scrutiny and accountability, these deals bode a dark future for humanity, one that is built using the same tools that once promised a bright, positive world.

Growth investors face a paradox: The best companies always look expensive, but waiting for "cheap" often means missing the compounding that builds fortunes. Recent volatility has cracked open entry points in three platforms growing 13% to 27% annually, with moats that deepen as they scale. Unlike the artificial intelligence (AI) darlings trading at 100 times sales, these businesses already generate meaningful cash while riding secular trends untouched by Fed cycles or politics. Read on to find out more about these three incredible growth stocks.

AI workloads are already expensive due to the high cost of renting GPUs and the associated energy consumption. Memory bandwidth issues make things worse. When memory lags, workloads take longer to process. Longer runtimes result in higher costs, as cloud services charge based on hourly usage. Essentially, memory inefficiencies increase the time to compute, turning what should be cutting-edge performance into a financial headache.

Some of the personnel changes and additional reviews that we've seen in the U.S. Fed seem to continue and have resulted in longer deal cycles and some increased variability overall in that particular vertical for us.

Businesses worldwide have pushed cloud computing spending to $912.77 billion in 2025 up from $156.4 billion in 2020. But here's the interesting thing: businesses are no longer merely making the switch to cut costs. They're chasing operational nimbleness that on-premises infrastructure cannot keep up with. It's a shift that follows how entertainment platforms like download 1xbet app Saudi Arabia utilize distributed computing to support millions of simultaneous users across different geographic locations.

Colocation capacity in North American datacenters has dropped to a record low of 2.3 percent, with the construction pipeline mostly pre-leased, significantly constraining growth.

Foxconn's Cloud & Networking revenue has jumped 47%, driven primarily by AI server demand, overtaking its consumer electronics business for the first time.

According to figures from researchers at Omdia, the annual datacenter capex of cloud giant Amazon alone now exceeds $100 billion, making it roughly comparable to the entire GDP of Costa Rica.

A startup torches $120K in 72 hours because autoscaling had no ceiling; a DDoS popped up, the cluster spun 2,000 m5.24xlarges, and by the time anyone parsed the Slack noise, the bill looked like a phone number.

"Trust in public cloud providers is being eroded, especially among businesses operating outside the United States, and driving a growing movement toward sovereign and private cloud solutions."

We are grateful for AWS's partnership as GSA continues to equip agencies with modern solutions at scale and at savings. Through this unique partnership, the federal government is poised to deliver on President Trump's AI Action Plan and solidify its position as the global AI leader.

Amazon not only dominates the cloud computing market with a 30% share but also leads in e-commerce, capturing approximately 38% of the U.S. market.

When a pod is created, Kubernetes goes through a series of steps to ensure the pod is properly initialized and ready to serve traffic. This includes scheduling, resource allocation, and networking.

Multi-cloud refers to the use of multiple cloud computing services in a single architecture. This approach leverages the benefits of various public and private clouds to optimize efficiency and flexibility.