F1 is, by far, the most intensive sports environment in the world. Each car is outfitted with more than 300 sensors and generates more than 1 million data points per second during a race. The 10 race ...
Enterprises are accelerating cloud migration and data transformation centered on AWS, with strong momentum across industries, ISG says.
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Optimizing Fraud Claims At Scale, Engineering For Trust In The Banking Sector: Saikrishna Garlapati
It is in this transformative landscape that Saikrishna Garlapati’s work stands out, bridging advanced engineering with financial security. Coming from the expert table, he brings deep, firsthand ...
AWS provides on-demand computing power, data storage and other digital services to companies, governments and individuals. Disruptions to its servers can cause outages across websites and platforms ...
A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...
One only need look at the incredible revenues and profits of the datacenter business at Nvidia to know that the world’s biggest compute customers – the ...
Discover how data engineer Ravi Kiran builds self-healing, metadata-driven ETL pipelines that cut failures, automate schema ...
This is a game-changer for cloud outage solutions. Many platforms like Slack, which offers limited offline messaging, Trello for board viewing offline, Zoom with local recordings, and Notion with ...
Coverage includes widely used platforms like OpenAI, GitHub, Slack, Stripe, ServiceNow, Zendesk, and Zoom, as well as AWS services such as Amazon S3, AWS Lambda, and Amazon DynamoDB ... need for ...
AWS outage caused by a DNS automated systems error may result in a $581 million loss for Amazon as the cloud and AI company make changes to prevent similar failures.
Millions of users and businesses were affected on 20 October 2025 when Amazon Web Services (AWS) suffered a widespread outage that disrupted major websites, banking apps and online services worldwide.
The new features are designed for companies training massive AI models, making it easier to manage complex workloads and keep ...
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