AWS announced a one-click Lambda setup prompt for coding agents that configures agents with AWS Serverless skills and the Serverless Model Context Protocol server, embedding serverless best practices …
The Storage Networking Industry Association (SNIA) has published a presentation detailing how Ceph object storage can integrate a vector database and search to support AI large language model workload…
Amazon Bedrock Managed Knowledge Base is now generally available, a fully managed agentic retrieval solution that handles scaling, high-accuracy retrieval, and document access control. The service inc…
Dave Treadwell, a 27-year Microsoft veteran who helped build Windows, is now leading AWS's Compute and Machine Learning Services team at a moment when scaling AI compute is one of the most significant…
Amazon Web Services (AWS) has introduced a Computer Vision MCP Server that integrates computer vision, Strands Agents, and the Model Context Protocol (MCP) to create a unified pipeline for AI systems …
Oodle.ai has launched LLM Agent Observability, a service that stores all agent traces without sampling at $10 per million traces, using a custom columnar storage engine on S3 and AWS Lambda for sub-se…
A developer building an autonomous Wizarding World content engine on AWS Lambda encountered authentication challenges with the X API. After struggling with OAuth 2.0 Bearer Token and OAuth 2.0 User Co…
Confluent Cloud launched Tableflow, a managed feature that materializes Apache Kafka topics as Apache Iceberg or Delta Lake tables, eliminating custom data pipelines by automatically handling schemati…
Amazon Web Services introduced a model monitoring architecture using the open-source Evidently Python library and Amazon SageMaker AI with MLflow to detect data and model drift in discriminative ML mo…
Amazon Web Services announced a new multi-turn reinforcement learning infrastructure for Amazon Nova on Amazon SageMaker HyperPod, enabling training of enterprise agents on multi-step workflows. The e…
AWS announced Amazon S3 Annotations, a feature allowing teams to attach rich, searchable context such as summaries, classifications, and AI-generated insights directly to S3 objects. Annotations are m…
AWS announced a new solution for automating healthcare claims processing using Amazon Bedrock and AWS HealthLake. The pipeline uses Bedrock Data Automation to extract data from CMS-1500 forms and an A…
A developer shares how reframing AWS services by the problems they solve, rather than their names, deepened their understanding of cloud computing. The developer highlights Amazon Bedrock for building…
ByteDance's open-source SeedVR2 video restoration model is now deployable on Amazon SageMaker AI, enabling scalable super resolution for low-resolution video libraries. The solution uses a three-tier …
Amazon Web Services and Snowflake have integrated semantic views with Amazon QuickSight to unify business logic across AI and BI tools, reducing data reconciliation efforts and AI hallucinations. The …
Amazon S3 Annotations, introduced in June 2026, allow mutable, structured payloads up to 1 MB each to be attached directly to S3 objects, enabling context like transcripts and meeting minutes to live …
A new practical guide compares data lake and cloud data warehouse architectures for data scientists, outlining key differences in storage, cost, governance, and ML performance. The guide recommends da…
AWS announced Lambda MicroVMs, a new serverless compute primitive that provides isolated, stateful execution environments for running untrusted code. Powered by Firecracker, the technology offers near…
AWS launched Bedrock Managed Knowledge Base, a managed service that automates retrieval-augmented generation (RAG) infrastructure for enterprise AI applications, reducing operational overhead for deve…
Amazon SageMaker AI Async Inference now supports inline request payloads up to 128,000 bytes, eliminating the need to upload input data to Amazon S3 before each invocation. This reduces latency, simpl…