Curated articles, resources, tips and trends from the DevOps World.
Amazon Q Developer has transformed the traditional development workflow by integrating a wide range of generative AI capabilities within the environments where developers work from.
Today, in late 2024, CTOs and other enterprise IT leaders view Kubernetes as table stakes. Everyone knows that modern, container-based applications are portable, agile, and efficient — and that Kubernetes is the universally accepted solution to deploy and manage them at scale.
Today, we’re thrilled to announce Amazon Nova, a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry leading price performance, available exclusively in Amazon Bedrock.
Today, we’re adding Automated Reasoning checks (preview) as a new safeguard in Amazon Bedrock Guardrails to help you mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations.
Today, we’re announcing the multi-agent collaboration capability for Amazon Bedrock (preview). With multi-agent collaboration, you can build, deploy, and manage multiple AI agents working together on complex multi-step tasks that require specialized skills.
Python’s global interpreter lock (GIL) plays a crucial role in managing memory safely by limiting execution to a single thread.
Amazon S3 Tables give you storage that is optimized for tabular data such as daily purchase transactions, streaming sensor data, and ad impressions in Apache Iceberg format, for easy queries using popular query engines like Amazon Athena, Amazon EMR, and Apache Spark.
AWS customers make use of Amazon Simple Storage Service (Amazon S3) at an incredible scale, regularly creating individual buckets that contain billions or trillions of objects! At that scale, finding the objects which meet particular criteria — objects with keys that match a pattern, objects of a
The new Amazon Elastic Compute Cloud (Amazon EC2) Trn2 instances and Trn2 UltraServers are the most powerful EC2 compute options for ML training and inference.
Managing modern systems requires a constant balance between operational efficiency and innovation; going a little further, maintaining seamless operations and delivering exceptional customer experiences increasingly depend on ensuring robust observability.
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