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Red Hat Linux Sysadmin Articles
- Building an AI application is a milestone; running it reliably against business-critical enterprise data is a challenge. As organizations transition retrieval-augmented generation (RAG) and AI assistants from the lab to production, the underlying infrastructure becomes the primary differentiator. To succeed, models require continuous access to trusted data, the ability to coexist with legacy systems, and […]
- When I started playing with AI models for edge computing use cases, everything went smoothly. But once I reached the "it works" point and started thinking about how to operationalize it, the whole thing became more complicated. I started to question how a trained model becomes something you can ship to the edge. How can […]
- Red Hat has been named a Leader in the IDC MarketScape: Worldwide Private and Hybrid Cloud Management with Automation 2026 Vendor Assessment (Doc #US54644626e, June 2026).The IDC MarketScape noted, “Ansible Automation Platform's lightweight architecture and expansive ecosystem of certified content collections make the platform a highly versatile and accessible automation tool for private cloud environments […]
- We are thrilled to announce that Red Hat has been named a Leader in the 2026 IDC MarketScape for Worldwide Private and Hybrid Cloud Management with Automation.We believe this recognition from IDC MarketScape confirms what our partners already know: in a market where 88% of large organizations still manage production workloads on-premises, the need for […]
- With artificial intelligence (AI) models now capable of discovering thousands of vulnerabilities in days and developing exploits in hours, organizations are moving from preventing to containing the breach. This requires enforcing least privilege across identity, secrets, network segmentation, and policy across your IT domains. Perimeter firewalls still matter, but they aren't everything. Hybrid environments, multivendor […]
AWS Blog Posts
- Last week, we announced a public preview of Amazon Bedrock Managed Agents powered by OpenAI, built on a customized version of OpenAI’s Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the identities, permissions, and governance controls you […]
- Introducing the public preview of AWS Well-Architected Agent, an AI-powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications' cost, security, performance, and resilience—with ready-to-implement fixes aligned to your business goals.
- Amazon S3 Tables now support all data types in the Apache Iceberg V3 spec, along with column default values, deletion vectors, and row lineage. Upgrade existing V2 tables or create new V3 tables with built-in compaction, maintenance, and engine compatibility.
- Amazon S3 Vectors now supports metadata pre filtering, delivering up to 5x higher recall on filtered searches. Filters evaluate before similarity search so scoped queries return more relevant results. Ideal for RAG, agentic apps, and document search.
- Amazon Aurora PostgreSQL now lets you directly query Apache Iceberg and Parquet data stored in your data lake alongside live operational data—no ETL pipelines required. Powered by DuckDB embedded within Aurora, this capability enables single queries that join transactional and historical data using familiar PostgreSQL syntax. It supports AWS Glue Data Catalog, S3, and S3 […]
