OffNet Newsroom The Brief

Saturday, July 11, 2026

6 stories worth your scroll — picked from 47 curated today.

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Agentic AI NEW AWS What's New

AWS DMS Schema Conversion integrates AI agent automation via MCP Server

AWS Database Migration Service Schema Conversion now supports AI agent automation through the AWS MCP Server, enabling integration with coding agents like Kiro, Claude Code, and Cursor. These agents can execute complete migration workflows using natural language, autonomously creating projects, browsing metadata, converting schemas, and generating assessment reports. A dedicated skill, dms-schema-conversion, provides agents with predefined procedures and operational rules to reduce trial-and-error loops during migration tasks.

Integrate DMS Schema Conversion with IDE-based AI agents via the AWS MCP Server.

Database Technology NEW Percona Blog

Percona builds experimental DuckDB storage engine for MySQL 9.7

Percona has released an experimental MySQL 9.7 build that allows tables to use DuckDB as a storage engine via ENGINE=DuckDB. This setup enables analytical queries to run directly on the source data within the same server process, eliminating the need for a separate copy. Benchmarks on TPC-H at scale factor 10 showed that while InnoDB timed out on six queries and consumed significant CPU, the DuckDB engine handled the workload differently.

Experimental MySQL 9.7 build supports ENGINE=DuckDB for analytical workloads.

AI / ML NEW AWS What's New

Amazon EMR on EKS adds AI troubleshooting agent for Spark jobs

AWS has introduced an Apache Spark troubleshooting agent for Amazon EMR on EKS, enabling data engineers to diagnose job failures using natural language queries. The agent automatically analyzes Spark History Server data, distributed executor logs, and cluster configurations to identify root causes like memory errors, data skew, and resource contention. It provides automated root cause analysis and PySpark code recommendations, eliminating the need to manually sift through logs. This feature extends the troubleshooting agent's coverage to include EMR on EC2 and EMR Serverless, accessible via the console or CLI.

Diagnose EMR on EKS Spark failures via natural language instead of manual log inspection.

Automation / DevOps / IaC NEW InfoQ

Chaos Engineering GPU Clusters: Fault Injection for RDMA and NUMA

Bryan Oliver outlines chaos engineering strategies specifically designed for large-scale GPU clusters, addressing complex topologies and hardware inefficiencies. The presentation details seven practical fault-injection techniques to expose issues related to RDMA network protocols and NUMA misalignments. These methods aim to maximize the efficiency of expensive hardware while establishing robust observability loops for AI infrastructure.

Target RDMA network protocol failures to prevent silent data corruption in distributed AI workloads.

LLMs NEW Hacker News (100+ points)

GPT-5.6 Sol Ultra claims proof of Cycle Double Cover Conjecture

A model identified as GPT-5.6 Sol Ultra has generated a PDF purportedly containing a proof for the Cycle Double Cover Conjecture. The document was shared via social media links and is available as a standalone PDF. The release has garnered significant attention on Hacker News, indicating high interest in this potential mathematical breakthrough.

AI models are now attempting to solve open problems in pure mathematics.

AWS NEW AWS What's New

Amazon DocumentDB adds R8g.24xlarge and R8g.48xlarge Graviton4 instances

Amazon DocumentDB now supports R8g.24xlarge and R8g.48xlarge instances powered by AWS Graviton4 processors and DDR5 memory. The 24xlarge offers 96 vCPUs with 768 GiB memory, while the 48xlarge provides 192 vCPUs and 1,536 GiB memory. These configurations are designed to handle high-concurrency transactional applications and memory-intensive operational workloads with higher throughput and larger in-memory working sets.

Graviton4-based R8g instances enable higher throughput for DocumentDB workloads.