Assorted links for Thursday, Febuary 20:
- Data Infrastructure, Not AI Models, Will Drive IT Spend in 2025
As organizations race to implement Artificial Intelligence (AI) initiatives, they’re encountering an unexpected bottleneck: the massive cost of data infrastructure required to support AI applications.
I’m seeing organizations address these challenges through innovative architectural approaches. One promising direction is the adoption of leaderless architectures combined with object storage. This approach eliminates the need for expensive data movement by leveraging cloud-native storage solutions that simultaneously serve multiple purposes.
Another key strategy involves rethinking how data is organized and accessed. Rather than maintaining separate infrastructures for streaming and batch processing, companies are moving toward unified platforms that can efficiently handle both workloads. This reduces infrastructure costs and simplifies data governance and access patterns.
- Object Store Apps: Cloud Native’s Freshest Architecture
An increasing number of start-ups and end-users find that using cloud object storage as the persistence layer saves money and engineering time that would otherwise be needed to ensure consistency.
- The Feds Push for WebAssembly Security Over eBPF
According to a National Institute of Standards and Technology (NIST) paper, “A Data Protection Approach for Cloud-Native Applications” (authors: Wesley Hales from LeakSignal; Ramaswamy Chandramouli, a supervisory computer scientist at NIST), WebAssembly could and should be integrated across the cloud native service mesh sphere in particular to enhance security.
- Deep Dive Into DeepSeek-R1: How It Works and What It Can Do
During DeepSeek-R1’s training process, it became clear that by rewarding accurate and coherent answers, nascent model behaviors like self-reflection, self-verification, long-chain reasoning and autonomous problem-solving point to the possibility of emergent reasoning that is learned over time, rather than overtly taught — thus possibly paving the way for further breakthroughs in AI research.
- Use Azure Cosmos DB as a Docker container in CI/CD pipelines
The Linux-based Azure Cosmos DB emulator is available as a Docker container and can run on a variety of platforms, including ARM64 architectures like Apple Silicon. It allows local development and testing of applications without needing an Azure subscription or incurring service costs. You can easily run it as a Docker container, and use it for local development and testing.