Friday, July 24, 2026

6 stories worth your scroll — picked from 45 curated today.

1 · Copy → 2 · Share → 3 · Paste & post

View the post text

Today's updates redefine how engineers test, secure, and scale AI infrastructure without compromising performance or safety.

▸ Sandbox MySQL 9.7 LTS early to validate features and security patches before production deployment.
▸ Access Claude Sonnet 5 in GovCloud for efficient coding and agentic workflows with performance-cost balance.
▸ Mitigate GitLost risks by securing GitHub issues, as hidden prompts can leak private repo data via AI agents.
▸ Combine low-rank decomposition and quantization to bypass current LLM compression bottlenecks and reduce overhead.
▸ Deploy STAR at Expedia to accelerate incident root cause analysis using LLMs and structured telemetry workflows.
▸ Reduce inference latency in Seoul, London, and Tokyo with SageMaker G7e instances delivering 2.3x better performance.

Summaries, takeaways and sources → https://offnetchat.com/news/2026-07-24/brief.html

#AWS #AI #DevOps #MachineLearning #Security

Database Technology NEW AWS What's New

Amazon RDS for MySQL adds MySQL 9.7 LTS to Preview Environment

Amazon RDS for MySQL now supports community MySQL 9.7 in the Database Preview Environment, allowing engineers to evaluate the latest Long-Term Support release before general availability. This sandbox enables safe testing of new features and security patches without impacting production workloads. Instances are retained for up to 60 days and are automatically deleted afterward.

MySQL 9.7 is the current community LTS release with bug fixes and security patches.

LLMs NEW AWS What's New

Claude Sonnet 5 arrives on Amazon Bedrock in AWS GovCloud (US)

AWS has extended Amazon Bedrock access to Claude Sonnet 5 within the AWS GovCloud (US) regions. The model emphasizes efficiency in coding, agentic workflows, and professional knowledge tasks, offering a balance of performance and cost. It is now accessible via bedrock-runtime endpoints in both US-West and US-East regions.

Claude Sonnet 5 is now available in AWS GovCloud (US-West and US-East) via Bedrock.

Agentic AI NEW InfoQ

GitLost Exploit Leaks Private GitHub Data via Indirect Prompt Injection

Noma Security discovered GitLost, an attack vector targeting GitHub's Agentic Workflows. By hiding malicious instructions in public GitHub issues, attackers trick AI agents into exposing confidential repository data in public comments. This bypasses existing security safeguards designed to protect private information.

Public GitHub issues can serve as injection vectors for AI agents.

AI / ML NEW arXiv cs.CL

Combining Low-Rank Decomposition and Quantization to Break LLM Compression Bottlenecks

As language models scale, their computational and memory overheads necessitate effective compression. Existing methods often hit a performance wall when compression ratios increase. This research explores combining low-rank decomposition and quantization, challenging the assumption that these techniques are orthogonal and aiming to mitigate the severe accuracy degradation seen in high-compression scenarios.

High compression ratios currently cause significant model performance degradation.

Automation / DevOps / IaC NEW InfoQ

Expedia Ships STAR AI Tool to Accelerate Incident Investigation

Expedia Group has deployed STAR, an internal observability platform leveraging LLMs to analyze service telemetry and assist engineers during production incidents. The solution is built on FastAPI, Datadog, Celery, Redis, and Langfuse, following structured workflows to generate root cause assessments. It is designed to keep engineers in the loop while speeding up the investigation process.

STAR uses LLMs to analyze telemetry and propose root causes for incidents.

AWS NEW AWS What's New

AWS expands G7e SageMaker inference to Seoul, London, and Tokyo

Amazon SageMaker AI now supports G7e instances in Asia Pacific (Seoul and Tokyo) and Europe (London). These instances utilize up to eight NVIDIA RTX PRO 6000 Blackwell GPUs and 5th Gen Intel Xeon processors to deliver 2.3x better inference performance than G6e. The expansion allows for lower latency deployment of generative AI workloads closer to users in these regions, supporting models up to 70B parameters.

G7e instances are now available in Seoul, London, and Tokyo on SageMaker.