AWS Blog

A CTO’s Guide to Measuring Software Development Productivity

A CTO’s Guide to Measuring Software Development Productivity

In response to CFOs demanding returns on technology investments, CTOs must measure software development productivity across four dimensions—business value, speed to market, delivery reliability, and team health—to effectively demonstrate how their teams create measurable impact and business growth.

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DeepSeek-R1 now available as a fully managed serverless model in Amazon Bedrock

DeepSeek-R1 now available as a fully managed serverless model in Amazon Bedrock

DeepSeek-R1 is now available as a fully managed model in Amazon Bedrock, freeing up your teams to focus on strategic initiatives instead of managing infrastructure complexities.

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Amazon S3 Tables integration with Amazon SageMaker Lakehouse is now generally available

Amazon S3 Tables integration with Amazon SageMaker Lakehouse is now generally available

Amazon S3 Tables integration with SageMaker Lakehouse enables unified access to S3 Tables data from AWS analytics engines like Amazon Athena, Redshift, EMR, and third-party query engines, to build securely and manage centrally.

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  • Seamless streaming to Amazon S3 Tables with StreamNative Ursa Engine
    Kundan Vyas, Anupriti Warade, Wahab Syed, 03/18/2025
    Organizations are modernizing data platforms to use generative AI by centralizing data from various sources and streaming real-time data into data lakes. A strong data foundation, such as scalable storage, reliable ingestion pipelines, and interoperable formats, is critical for businesses to discover, explore, and consume data. As organizations modernize their platforms, they often turn to [...]
  • Visually build telephony applications with AWS Step Functions
    Reynaldo Hidalgo, 03/17/2025
    Developers face numerous challenges when building telephony applications: managing unpredictable user responses, handling disconnections, processing incorrect inputs, and addressing errors. These challenges extend development cycles and create unstable applications that fail to meet user expectations. This blog demonstrates how Amazon Web Services (AWS) Step Functions, combined with Amazon Chime SDK Public Switched Telephone Network (PSTN) [...]
  • How the AWS Partner Network is Enabling Sustainable Innovation
    Jonathan Chen, Tiffany Chen, Mansi Vaghela, 03/17/2025
    Discover how AWS and its partners are driving sustainable innovation through the AWS Partner Network. Learn about purpose-built solutions, resources, and programs that empower organizations to reduce their environmental impact while fostering business growth. Explore how AWS is collaborating with partners like Carrier Global to create cutting-edge sustainability solutions and accelerate the journey towards a more sustainable future.
  • Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights
    Laks Sundararajan, Subha Venugopal, 03/17/2025
    Healthcare decisions often require integrating information from multiple sources, such as medical literature, clinical databases, and patient records. LLMs lack the ability to seamlessly access and synthesize data from these diverse and distributed sources. This limits their potential to provide comprehensive and well-informed insights for healthcare applications. In this blog post, we will explore how Mistral LLM on Amazon Bedrock can address these challenges and enable the development of intelligent healthcare agents with LLM function calling capabilities, while maintaining robust data security and privacy through Amazon Bedrock Guardrails.
  • AWS KMS CloudWatch metrics help you better track and understand how your KMS keys are being used
    Norman Li, Haiyu Zhen, 03/17/2025
    AWS Key Management Service (AWS KMS) is pleased to launch key-level filtering for AWS KMS API usage in Amazon CloudWatch metrics, providing enhanced visibility to help customers improve their operational efficiency and aid in security and compliance risk management. AWS KMS currently publishes account-level AWS KMS API usage metrics to Amazon CloudWatch, enabling you to monitor [...]
  • Amazon WorkSpaces and Amazon AppStream 2.0 are now Chrome Enterprise Recommended
    Alan Patterson, 03/17/2025
    Amazon WorkSpaces and Amazon AppStream 2.0 are now Chrome Enterprise Recommended Empower Google ChromeOS users with secure, scalable cloud desktop and application streaming services AWS is excited to announce Amazon WorkSpaces and Amazon AppStream 2.0 are Chrome Enterprise Recommended (CER). This designation validates these AWS End User Computing (EUC) services are fully tested with ChromeOS—ensuring [...]
  • AWS Weekly Roundup: AWS Pi Day, Amazon Bedrock multi-agent collaboration, Amazon SageMaker Unified Studio, Amazon S3 Tables, and more
    Prasad Rao, 03/17/2025
    Thanks to everyone who joined us for the fifth annual AWS Pi Day on March 14. Since its inception in 2021, commemorating the Amazon Simple Storage Service (Amazon S3) 15th anniversary, AWS Pi Day has grown into a flagship event highlighting the transformative power of cloud technologies in data management, analytics, and AI. This year’s [...]
  • Natively integrate the digital channels and unified routing capabilities of Amazon Connect into Salesforce CRM
    Susmita Dey, Marc Rudkowski, 03/17/2025
    Many companies today struggle with disconnected customer relationship management (CRM) and contact center solutions, resulting in poor customer experiences, frustrated customer service representatives (CSRs), and inefficient operations. CSRs or contact center agents have to juggle multiple siloed applications, lacking real-time visibility into customer data and interaction history, while customers face frustrating experiences bouncing between self-service [...]
  • Handling billions of invocations – best practices from AWS Lambda
    Chris McPeek, 03/17/2025
    This post is written by Anton Aleksandrov, Principal Solution Architect, AWS Serverless and Rajesh Kumar Pandey, Principal Engineer, AWS Lambda AWS Lambda is a highly scalable and resilient serverless compute service. With over 1.5 million monthly active customers and tens of trillions of invocations processed, scalability and reliability are two of the most important service [...]
  • Scale Reinforcement Learning with AWS Batch Multi-Node Parallel Jobs
    Abhishek Srivastav, Shaun Kirby, 03/17/2025
    Autonomous robots are increasingly used across industries, from warehouses to space exploration. While developing these robots requires complex simulation and reinforcement learning (RL), setting up training environments can be challenging and time-consuming. AWS Batch multi-node parallel (MNP) infrastructure, combined with NVIDIA Isaac Lab, offers a solution by providing scalable, cost-effective robot training capabilities for sophisticated behaviors and complex tasks.
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