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Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight

Find solutions to your most critical business challenges with ease. Amazon Q in QuickSight enables business users to perform complex scenario analysis up to 10x faster than spreadsheets.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas

Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

Amazon Bedrock Guardrails now supports multimodal toxicity detection with image support (preview)

Build responsible AI applications - Safeguard them against harmful text and image content with configurable filters and thresholds.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

New Amazon Bedrock capabilities enhance data processing and retrieval

Amazon Bedrock enhances generative AI data analysis with multimodal processing, graph modeling, and structured querying, accelerating AI application development.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview)

Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

Amazon Bedrock Marketplace: Access over 100 foundation models in one place

Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans

Unlock efficient large model training with SageMaker HyperPod flexible training plans - find optimal compute resources and complete training within timelines and budgets.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance

Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.

Published on: December 04, 2024 | Source: AWS Blog favicon AWS Blog

Fluent Bit v3.2: Building on best-in-class performance and efficiency

Member post originally published on Chronosphere’s blog by Carolyn King, Head of Community & Developer at Chronosphere New release: Fluent Bit v3.2 This week Fluent Bit maintainers are excited to announce the launch of Fluent Bit...

Published on: December 04, 2024 | Source: Cloud Native Computing Foundation favicon Cloud Native Computing Foundation

Red Hat Adds Managed Instance of Ansible to Expanding AWS Portfolio

Red Hat this week made available a managed instance of the Ansible automation framework on the Amazon Web Services (AWS) cloud.

Published on: December 04, 2024 | Source: DevOps.com favicon DevOps.com

DevOps-Driven Product Development: Enhancing Collaboration and Speed

Exploring how PMs can incorporate DevOps methodologies into their workflows to drive efficiency, break down silos and enable rapid product iterations.

Published on: December 04, 2024 | Source: DevOps.com favicon DevOps.com

Challenges of Implementing DevOps in Traditional R&D Settings

Firms considering transitioning from traditional research & development (R&D) environments to DevOps must consider implementation challenges. Otherwise, they risk failure β€” the repercussions of which are far-reaching. What challenges should they expect? More importantly, what should they do to prepare? Implementation Challenges Facing DevOps Teams Although operations and development teams work toward the same...

Published on: December 04, 2024 | Source: DevOps.com favicon DevOps.com

AWS Extends Generative AI Reach and Scope of Amazon Q Developer

Amazon Web Services (AWS) today revealed it has extended the capabilities of its generative artificial intelligence (AI) tool.

Published on: December 03, 2024 | Source: DevOps.com favicon DevOps.com

Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries

Connect, discover, and govern data across silos with Amazon SageMaker Lakehouse's new data catalog and permissions capabilities, enabling centralized access and fine-grained controls.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Amazon SageMaker Lakehouse and Amazon Redshift supports zero-ETL integrations from applications

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to Amazon SageMaker Lakehouse and Amazon Redshift.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse

Unifying data silos, Amazon SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse

Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Discover, govern, and collaborate on data and AI securely with Amazon SageMaker Data and AI Governance

Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation - boost productivity and innovation for data teams.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone

Realize visual traceability of data origins, transformations, and usage - bolstering trust, governance, and discoverability for strategic data-driven decisions.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Introducing the next generation of Amazon SageMaker: The center for all your data, analytics, and AI

Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Amazon Q Business is adding new workflow automation capability and 50+ action integrations

Amazon Q Business extends productivity with generative AI-powered workflow automation capability and 50+ actions for enterprise efficiency, enabling seamless task execution across tools like ServiceNow, PagerDuty, and Asana.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

New capabilities from Amazon Q Business enable ISVs to enhance generative AI experiences

New Amazon Q Business capabilities help ISVs integrate with the Amazon Q index to retrieve data from multiple sources through a single API and customize the design of their Amazon Q embedded assistant.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

New Amazon Q Developer agent capabilities include generating documentation, code reviews, and unit tests

Enhancing coding productivity, Amazon Q Developer agents now offer capabilities for auto-generating documentation, conducting code reviews, and creating unit tests within IDEs and GitLab.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Announcing Amazon Q Developer transformation capabilities for .NET (preview)

Unlock Linux's power with Amazon Q Developer's transformation capabilities for .NET porting – effortlessly modernize .NET applications from Windows to cross-platform .NET in your familiar IDE.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Announcing Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads (preview)

Amazon Q Developer streamlines large-scale transformations using generative AI agents supervised by teams through a unified web experience, accelerating .NET porting, mainframe modernization, and VMware migration.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Investigate and remediate operational issues with Amazon Q Developer (in preview)

Amazon Q Developer can now help you investigate and remediate operational issues quickly from anywhere in the AWS Management Console, accelerating the troubleshooting process for operators of all experience levels.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Introducing GitLab Duo with Amazon Q

GitLab Duo with Amazon Q streamlines software development across tasks and teams by embedding advanced AI agent capabilities into the GitLab workflows developers already know.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Introducing Amazon Nova: Frontier intelligence and industry leading price performance

Amazon Nova foundation models deliver frontier intelligence and industry leading price-performance, with support for text and multimodal intelligence, multimodal fine-tuning, and high-quality images and videos.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Introducing multi-agent collaboration capability for Amazon Bedrock (preview)

With multi-agent collaboration on Amazon Bedrock, developers can build, deploy, and manage multiple specialized agents working together seamlessly to tackle more intricate, multi-step workflows.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview)

Enhance conversational AI accuracy with Automated Reasoning checks - first and only gen AI safeguard that helps reduce hallucinations by encoding domain rules into verifiable policies.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview)

Easily transfer knowledge from a large, complex model to a smaller one.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Introducing queryable object metadata for Amazon S3 buckets (preview)

Unlock S3 data insights effortlessly with AWS' rich metadata capture; query objects by key, size, tags, and more using Athena, Redshift, and Spark at scale.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

New Amazon S3 Tables: Storage optimized for analytics workloads

Amazon S3 Tables optimize tabular data storage (like transactions and sensor readings) in Apache Iceberg, enabling high-performance, low-cost queries using Athena, EMR, and Spark.

Published on: December 03, 2024 | Source: AWS Blog favicon AWS Blog

Top 6 cloud computing trends for 2025

Member post by Sameer Danave, Senior Director of Marketing, MSys Technologies I’m excited about our new project but overwhelmed by all the technological changes,” one of our solution architects shared in an MSys Slack channel before...

Published on: December 03, 2024 | Source: Cloud Native Computing Foundation favicon Cloud Native Computing Foundation

Kubestronaut in Orbit: Eyal Zekaria

Get to know Eyal This week’s Kubestronaut in Orbit, Eyal Zekaria is a Senior Cloud Architect in Berlin, Germany. Eyal has a DevOps and SRE background and has experience operating Kubernetes clusters at scale at different...

Published on: December 03, 2024 | Source: Cloud Native Computing Foundation favicon Cloud Native Computing Foundation