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During KubeCon EU the Mercedes Benz team presented their migration journey from Pod Security Policies to Validation Admission Policies to secure their 1000+ Kubernetes clusters. The solution was chosen in favour of Kyverno due to its improved performance.
At the Google Cloud Next 2024 event, Google announced the launch of Vertex AI Agent Builder, the public preview of Google's most advanced generative AI model, Gemini 1.5 Pro, and the addition of open-source language models to the Vertex AI platform.
During his QCon London presentation, Danilo Sato, vice president of data & AI at Thoughtworks, reemphasized the importance of using domain-driven design and Team Topologies principles when implementing data products. This ensures effective data encapsulation in a more complex landscape where data responsibilities are “shifting left” towards the developer.
At QCon London, John Spray, a Storage Engineering Lead @neon.tech, discussed the often-overlooked complexities of stateful cloud service design, using Neon Serverless Postgres as a case study. His session was part of the Cloud-Native Engineering track on the first day of the conference, and InfoQ did an interview.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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KubeCon EU: Mercedes-Benz’s Migration From Pod Security Policies to Validation Admission Policies
During KubeCon EU the Mercedes Benz team presented their migration journey from Pod Security Policies to Validation Admission Policies to secure their 1000+ Kubernetes clusters. The solution was chosen in favour of Kyverno due to its improved performance.
By Olimpiu PopGoogle Announces Agent Builder, Expanded Gemini 1.5, Open-Source Additions
At the Google Cloud Next 2024 event, Google announced the launch of Vertex AI Agent Builder, the public preview of Google's most advanced generative AI model, Gemini 1.5 Pro, and the addition of open-source language models to the Vertex AI platform.
By Andrew HoblitzellThoughtworks’ VP of Data and AI Shares Insights for Building a Robust Data Product at QCon London
During his QCon London presentation, Danilo Sato, vice president of data & AI at Thoughtworks, reemphasized the importance of using domain-driven design and Team Topologies principles when implementing data products. This ensures effective data encapsulation in a more complex landscape where data responsibilities are “shifting left” towards the developer.
By Olimpiu PopStateful Cloud Services at Neon Navigating Design Decisions and Trade-Offs: Q&A with John Spray
At QCon London, John Spray, a Storage Engineering Lead @neon.tech, discussed the often-overlooked complexities of stateful cloud service design, using Neon Serverless Postgres as a case study. His session was part of the Cloud-Native Engineering track on the first day of the conference, and InfoQ did an interview.
By Steef-Jan WiggersPresentation: Generative AI: Shaping a New Future for Fraud Prevention
Neha Narkhede discusses a vision for fraud and risk management that leverages the advancements in generative AI.
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