#storage-limit
#storage-limit
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#cloud-computing #ai #ai-infrastructure #data-centers #kubernetes #aws #hyperscalers #cloud-native #data-governance
Marketing tech
fromAmazon Web Services
4 days agoFrom hours to minutes: How Agentic AI gave marketers time back for what matters | Amazon Web Services
AWS Marketing's TAA team developed an AI solution that drastically reduces webpage assembly time, enhancing efficiency and content quality for marketing teams.
Business intelligence
fromTheregister
1 month agoMicrosoft promises multi database wrangling hub on Fabric
Microsoft launched Database Hub, a unified management tool within Fabric that consolidates multiple database services across on-premises, PaaS, and SaaS environments with AI-assisted capabilities.
Data science
fromInfoWorld
1 month agoBuyer's guide: Comparing the leading cloud data platforms
Five leading cloud data platforms—Databricks, Snowflake, Amazon RedShift, Google BigQuery, and Microsoft Fabric—offer distinct architectural approaches for enterprise data storage, analytics, and AI workloads.
Data science
fromTechRepublic
1 month agoInside the Gas Engine Strategy Powering AI's Next Wave
Gas reciprocating engines are emerging as a critical power solution for AI data centers, with manufacturers like Caterpillar securing multi-gigawatt orders to meet demand that exceeds grid and turbine capacity.
fromdeath and gravity
2 months agoDynamoDB crash course: part 1 - philosophy
A table is a collection of items, and an item is a collection of namedattributes. Items are uniquely identified by apartition key attribute and an optionalsort key attribute. The partition key determines where (i.e. on what computer) an item is stored. The sort key is used to get ordered ranges of items from a specific partition. That's is, that's the whole data model. Sure, there's indexes and transactions and other features, but at its core, this is it. Put another way:
Tech industry
fromInfoQ
2 months agoUber Moves from Static Limits to Priority-Aware Load Control for Distributed Storage
Priority-aware, colocated load management with CoDel and per-tenant Scorecard protects stateful multi-tenant databases by prioritizing critical traffic and adapting dynamically to prevent overloads.
fromInfoWorld
2 months agoThe private cloud returns, for AI workloads
A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."
Artificial intelligence
Artificial intelligence
from24/7 Wall St.
1 month agoCloud Capacity Is Sold Out. What That Means for Blackwell Could Change Everything
NVIDIA guided for $65 billion Q4 FY2026 revenue with demand for AI infrastructure exceeding expectations and cloud capacity sold out, shifting growth focus from chip demand to infrastructure expansion speed.
fromDbmaestro
5 years agoDatabase Delivery Automation in the Multi-Cloud World
The main advantage of going the Multi-Cloud way is that organizations can "put their eggs in different baskets" and be more versatile in their approach to how they do things. For example, they can mix it up and opt for a cloud-based Platform-as-a-Service (PaaS) solution when it comes to the database, while going the Software-as-a-Service (SaaS) route for their application endeavors.
DevOps
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