Open Source

AI assistants are powerful but isolated from company data. MCP fixes this by providing secure connections between AI and enterprise systems.Enterprise AI implementations face a persistent architectural challenge: how to …

Welcome to “Complex Made Clear” – where we take the intimidating, untangle the technical, and make the complicated feel conquerable. In this series, we break down complex topics into digestible, …

In Part 4 of our series on the AI Factory – https://www.vamsitalkstech.com/ai/industry-spotlight-engineering-the-ai-factory-inside-ubers-ai-infrastructure-part-2/ , we explored one of the most sophisticated implementations of an AI factory in production: Netflix’s machine learning …

The article encourages organizations to explore the CNOE project, attend community meetings, and contribute to the project by providing feedback and reporting issues, to collectively advance the state of internal …

Across industry verticals, enterprises are increasingly adopting cloud-native architectures. This shift offers benefits like agility, scalability, and cost-effectiveness compared to traditional on-premises infrastructure. However, a key challenge arises when building …

The future of mobile networks has been here for a while 🙂 , but now it’s powered by artificial intelligence (AI). A groundbreaking new initiative, the AI-RAN Alliance, has launched …

Containerization (and the CNCF from a standards body) is driving increased adoption of platforms, which can be valuable assets for organizations that are looking to improve their agility, reduce their …

While none of the above points should cause a rethink of open source monitoring, users should invest in proper training, carefully plan their deployment, actively participate in the community, and …