Split Cost Allocation Data for Amazon EKS supports Kubernetes labels

Starting today, Split Cost Allocation Data for Amazon EKS now allows you to import up to 50 Kubernetes custom labels per pod as cost allocation tags. You can attribute costs of your Amazon EKS cluster at the pod level using custom attributes, such as cost center, application, business unit, and environment in AWS Cost and Usage Report (CUR). With this new capability, you can better align your cost allocation with specific business requirements and organizational structure driven by your cloud financial management needs. This enables granular cost visibility of your EKS clusters running multiple application containers using shared EC2 instances, allowing you to allocate the shared costs of your EKS cluster. For new split cost allocation data customers, you can enable this feature in the AWS Billing and Cost Management console. For existing customers, EKS will automatically import the labels, but you must activate them as cost allocation tags. After activation, Kubernetes custom labels are available in your CUR within 24 hours. You can use the Containers Cost Allocation dashboard to visualize the costs in Amazon QuickSight and the CUR query library to query the costs using Amazon Athena. This feature is available in all AWS Regions where Split Cost Allocation Data for Amazon EKS is available. To get started, visit Understanding Split Cost Allocation Data.
Quelle: aws.amazon.com

TwelveLabs’ Pegasus 1.2 model now available in three additional AWS regions

Amazon announces the expansion of the TwelveLabs’ Pegasus 1.2 video understanding model to the US East (Ohio), US West (N. California), and Europe (Frankfurt) AWS Regions. This expansion makes it easier for customers to build and scale generative AI applications that can understand and interact with video content at an enterprise level. Pegasus 1.2 is a powerful video-first language model that can generate text based on the visual, audio, and textual content within videos. Specifically designed for long-form video, it excels at video-to-text generation and temporal understanding. With Pegasus 1.2’s availability in these additional regions, you can now build video-intelligence applications closer to your data and end users in key geographic locations, reducing latency and simplifying your architecture. With today’s expansion, Pegasus 1.2 is now available in Amazon Bedrock across 7 regions: US East (N. Virginia), US West (Oregon), US East (Ohio), US West (N. California), Europe (Ireland), Europe (Frankfurt), and Asia Pacific (Seoul). To get started with Pegasus 1.2, visit the Amazon Bedrock console. To learn more, read the blog, product page, Amazon Bedrock pricing, and documentation. 
Quelle: aws.amazon.com

Amazon WorkSpaces announces USB redirection support for DCV WorkSpaces

AWS announces USB redirection support for WorkSpaces running Amazon DCV protocol, enabling users to access locally connected USB devices from their virtual desktop environments. With this feature, customers can now connect a wide range of USB peripherals to their virtual desktops, including credit card readers, 3D mice, and other specialized devices. USB redirection addresses the need for direct access to USB devices that require specialized drivers or lack dedicated protocols. This capability is currently limited to WorkSpaces Personal with Windows desktops accessed from Windows client devices. Performance and device compatibility may vary, so testing with your specific USB peripherals is recommended before adding them to the allowlist. This feature is available in all AWS Regions where Amazon WorkSpaces is offered. For more information about USB redirection in Amazon WorkSpaces, see USB Redirection for DCV in the Amazon WorkSpaces Administration Guide, or visit the Amazon WorkSpaces page to learn more about virtual desktop solutions from AWS.
Quelle: aws.amazon.com

theCUBE Research economic validation of Docker’s development platform

Docker’s impact on agentic AI, security, developer productivity, costs, ROI.

An independent study by theCUBE Research.

To investigate Docker’s impact on developer productivity, software supply chain security, agentic AI development, cost savings, and ROI, theCUBE Research asked nearly 400 enterprise IT & AppDev leaders from medium to large global enterprises.  The industry context is that enterprise developers face mounting pressure to rapidly ship features, build agentic AI applications, and maintain security. All while navigating a fragmented array of development tools and open source code that require engineering cycles and introduce security risks. Docker transformed software development through containers and DevSecOps workflows, and is now doing the same for agentic AI development and software supply chain security.  theCUBE Research quantified Docker’s impact: teams build agentic AI apps faster, achieve near-zero CVEs, remediate vulnerabilities before exploits, ship modern cloud-native applications, save developer hours, and generate financial returns.

Keep reading to get key highlights and analysis. Download theCube Research report and ebook to take a deep dive.

Agentic AI development streamlined using familiar technologies

Developers can build, run, and share agents and compose agentic systems using familiar Docker container workflows. To do this, developers would build agents safely using Docker MCP Gateway Catalog and Toolkit; run agents securely with Docker Sandboxes; and run models with Docker Model Runner. These capabilities align with theCUBE Research findings that 87% of organizations reduced AI setup time by over 25% and 80% report accelerating AI time-to-market by at least 26%.  Using Docker’s modern and secure software delivery practices, development teams can implement AI feature experiments faster and in days test agentic AI capabilities that previously took months. Nearly 78% of developers experienced significant improvement in the standardization and streamlining of AI development workflows, enabling better testing and validation of AI models. Docker helps enterprises generate business advantages through deploying new customer experiences that leverage agentic AI applications. This is phenomenal, given the nascent stage of agentic AI development in enterprises.

Software supply chain security and innovation can move in lockstep

Security engineering and vulnerability remediation can slow development to a crawl. Furthermore, checkpoints or controls may be applied too late in the software development cycle, or after dangerous exploits, creating compounded friction between security teams seeking to prevent vulnerability exploits and developers seeking to rapidly ship features. Docker embeds security directly into development workflows through vulnerability analysis and continuously-patched certified container images. theCUBE Research analysis supports these Docker security capabilities: 79% of organizations find Docker extremely or very effective at maintaining security & compliance, while 95% of respondents reported that Docker improved their ability to identify and remediate vulnerabilities. By making it very simple for developers to use secure images as a default, Docker enables engineering teams to plan, build, and deploy securely without sacrificing feature velocity or creating deployment bottlenecks. Security and innovation can move in lockstep because Docker concurrently secures software supply chains and eliminates vulnerabilities.

Developer productivity becomes a competitive advantage

Consistent container environments eliminate friction, accelerate software delivery cycles, and enable teams to focus on building features rather than overcoming infrastructure challenges. When developers spend less time on environment setup and troubleshooting, they ship more features. Application features that previously took months now reach customers in weeks. The research demonstrates Docker’s ability to increase developer productivity. 72% of organizations reported significant productivity gains in development workflows, while 75% have transformed or adopted DevOps practices when using Docker. Furthermore, when it comes to AI and supply chain security, the findings mentioned above further support how Docker unlocks developer productivity.

Financial returns exceed expectations

CFOs demand quantifiable returns for technology investments, and Docker delivers them. 95% of organizations reported substantial annual savings, with 28% saving more than $250,000 and another 43% reporting $50,000-$250,000 in cost reductions from infrastructure efficiency, reduced rework, and faster time-to-market. The ROI story is equally compelling: 69% of organizations report ROI exceeding 101%, with 28% achieving ROI above 201%. When factoring in faster feature delivery, improved developer satisfaction, and reduced security incidents, the business case for Docker becomes even more tangible. The direct costs of a security breach can surpass $500 million, so mitigating even a fraction of this cost may provide enough financial justification for enterprises to deploy Docker to every developer.

Modernization and cloud native apps remain top of mind

For enterprises who maintain extensive legacy systems, Docker serves as a proven catalyst for cloud-native transformation at scale. Results show that nearly nine in ten (88%) of organizations report Docker has enabled modernization of at least 10% of their applications, with half achieving modernization across 31-60% of workloads and another 20% modernizing over 60%. Docker accelerates the shift from monolithic architectures to modern containerized cloud-native environments while also delivering substantial business value.  For example, 37% of organizations report 26% to >50% faster product time-to-market, and 72% report annual cost savings ranging from $50,000 to over $1 million.

Learn more about Docker’s impact on enterprise software development

Docker has evolved from a containerization suite into a development platform for testing, building, securing, and deploying modern software, including agentic AI applications. Docker enables enterprises to apply proven containerization and DevSecOps practices to agentic AI development and software supply chain security. 

Download (below) the full report and the ebook from theCUBE Research analysis to learn Docker’s impact on developer productivity, software supply chain security, agentic AI application development, CI/CD and DevSecOps, modernization, cost savings, and ROI.  Learn how enterprises leverage Docker to transform application development and win in markets where speed and innovation determine success.

theCUBE Research economic validation of Docker’s development platform

> Download the Report

> Download the eBook

Quelle: https://blog.docker.com/feed/

Amazon ECS Service Connect enhances observability with Envoy Access Logs

Amazon Elastic Container Service (Amazon ECS) Service Connect now supports Envoy access logs, providing deeper observability into request-level traffic patterns and service interactions. This new capability captures detailed per-request telemetry for end-to-end tracing, debugging, and compliance monitoring. Amazon ECS Service Connect makes it simple to build secure, resilient service-to-service communication across clusters, VPCs, and AWS accounts. It integrates service discovery and service mesh capabilities by automatically injecting AWS-managed Envoy proxies as sidecars that handle traffic routing, load balancing, and inter-service connectivity. Envoy Access logs capture detailed traffic metadata enabling request-level visibility into service communication patterns. This enables you to perform network diagnostics, troubleshoot issues efficiently, and maintain audit trails for compliance requirements. You can now configure access logs within ECS Service Connect by updating the ServiceConnectConfiguration to enable access logging. Query strings are redacted by default to protect sensitive data. Envoy access logs will output to the standard output (STDOUT) stream alongside application logs and flow through the existing ECS log pipeline without requiring additional infrastructure. This configuration supports all existing application protocols (HTTP, HTTP2, GRPC and TCP). This feature is available in all regions where Amazon ECS Service Connect is supported. To learn more, visit the Amazon ECS Developer Guide.
Quelle: aws.amazon.com