Semiconductor sales are expected to grow 17.6% this year to reach $800bn – up from $680bn in 2024, says IDC. Last year sales grew 22.4%. For the first time, a …
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Semiconductor sales are expected to grow 17.6% this year to reach $800bn – up from $680bn in 2024, says IDC. Last year sales grew 22.4%. For the first time, a …
The post Chip market to hit $800bn this year appeared first on Electronics Weekly .
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AWS adds a new Model Context Protocol (MCP) server for AWS CloudTrail in the AWS Labs MCP open-source repository . This server enables AI agents to leverage comprehensive security and compliance capabilities through simple conversational interfaces. The CloudTrail MCP server allows AI assistants to analyze API calls, track user activities, and perform advanced security analysis across your AWS environment through natural language interactions.
The MCP server streamlines security investigation and compliance workflows by offering direct access to CloudTrail events and CloudTrail Lake analytics. AI agents can efficiently search 90-day management event histories and run Trino SQL queries on CloudTrail Lake data spanning up to 10 years. This natural language interface eliminates the need for custom API integrations, allowing AI agents to conduct security analyses and compliance checks seamlessly.
Available in all AWS regions where CloudTrail LookupEvents API or CloudTrail Lake is supported. Refer to documentation to learn more about supported regions.
Download CloudTrail MCP server from AWS Labs MCP open-source repository. To get started, visit:
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Amazon Athena announces single sign-on support for its JDBC and ODBC drivers through AWS IAM Identity Center’s trusted identity propagation. This makes it simpler for organizations to manage end-user’s access to data when using 3rd party tools and implement identity-based data governance policies with a seamless sign-on experience.
With this new capability, data teams can seamlessly access data through their preferred 3rd party tools using their organizational credentials. When analysts run queries using the updated Athena JDBC (3.6.0) and ODBC (2.0.5.0) drivers, their access permissions defined in Lake Formation are applied and their actions logged. This streamlined workflow eliminates credential management overhead while ensuring consistent security policies, allowing data teams to focus on insights rather than access management. For example, data analysts using 3rd party BI tools or SQL clients can now connect to Athena using their corporate credentials, and their access to data will be restricted based on policies defined for their respective user identity or group membership in Lake Formation.
This feature is available in regions where Amazon Athena and AWS Identity Center’s trusted identity propagation are supported. To learn more about configuring identity support when using Athena drivers, see the Amazon Athena driver documentation.
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Amazon Managed Service for Prometheus collector, a fully-managed agentless collector for Prometheus metrics, adds support for vending logs to Amazon CloudWatch Logs.
With Amazon Managed Service for Prometheus collector logs you can now troubleshoot issues in your setup, from context on the Prometheus target discovery process including authentication issues to scraping process to status and errors such as timeouts to information on ingesting collected metrics to your Amazon Managed Service for Prometheus workspace, for example, remote-write failures due to workspace issues.
Amazon Managed Service for Prometheus collector logs are now generally available in all regions where Amazon Managed Service for Prometheus is available.
Please visit the Amazon CloudWatch pricing page to learn more about logs pricing. Get started with Managed Service for Prometheus collector logs by visiting our user guide .
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AWS launches LocalStack integration in Visual Studio Code (VS Code) , enabling developers to easily test and debug serverless applications in their local IDE. With this new integration, developers can use LocalStack to locally emulate and test their serverless applications using familiar VS Code interface without switching between tools or managing complex setup, thus simplifying their local serverless development process.
LocalStack, an AWS Partner Network (APN) partner, enables developers to emulate AWS services such as AWS Lambda, Amazon SQS, Amazon API Gateway, and DynamoDB for local application development and testing. Previously, to use LocalStack to emulate AWS services in VS Code, developers had to manually configure ports, make code changes, and switch context between the IDE and LocalStack interface. Now, with LocalStack integration in VS Code, developers can connect to LocalStack environment from their IDE without manual configuration or code changes. This gives developers access to emulated AWS resources in the IDE, making it easy to build and test serverless applications locally. For example, they can now easily test and debug Lambda functions and their interactions with AWS services in a LocalStack emulated environment from their IDE.
This integration is now available to developers using the AWS Toolkit for VS Code (v3.74.0 or later). There is no additional cost from AWS for using this integration. To get started, follow the guided AWS Walkthrough in VS Code, which automatically installs the LocalStack CLI, guides through LocalStack account setup, and creates a LocalStack profile. Then, switch to LocalStack profile and deploy applications directly to the LocalStack environment. To learn more, visit the AWS News Blog , AWS Toolkit documentation , and the Lambda Developer Guide .
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Amazon EventBridge is expanding the availability of its API destinations feature to the AWS Asia Pacific (Melbourne) and AWS Asia Pacific (Thailand) Regions.
EventBridge API destinations are HTTPS endpoints that you can invoke as the target of an event bus rule, similar to how you invoke an AWS service or resource as a target. API destinations provides flexible authentication options for HTTPS endpoints, such as API key and OAuth, storing and managing credentials securely in AWS Secrets Manager on your behalf.
To get started, visit the Amazon EventBridge documentation to learn more about configuring API destinations.
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AWS announces VPC endpoints for Amazon CloudWatch Observability Access Manager (OAM). CloudWatch OAM enables you to programmatically manage cross-account observability settings within a region. The new VPC endpoints enhance your security posture by keeping traffic between your VPC and CloudWatch OAM within the AWS network, eliminating the need to traverse the public internet.
You can use Observability Access Manager to create and manage links between source accounts and monitoring accounts, enabling you to monitor and troubleshoot applications that span multiple accounts within a Region. With the new VPC endpoints, you can establish secure, private, and reliable connections between your VPC and CloudWatch Observability Access Manager. This allows you to maintain private connectivity while managing cross-account observability links and sinks, even from VPCs without internet access. This feature supports both IPv4 and IPv6 addressing, and you can use AWS PrivateLink’s built-in security controls—like security groups and VPC endpoint policies—to help secure access to your observability resources.
CloudWatch Observability Access Manager VPC endpoints are now available in all commercial AWS regions , the AWS GovCloud (US) Regions, and the China Regions.
To start using VPC endpoints for CloudWatch Observability Access Manager, refer to CloudWatch OAM endpoints for a list of supported Regional endpoints. To learn more about AWS PrivateLink, see accessing AWS services through AWS PrivateLink .
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Amazon Elastic Container Service (Amazon ECS), a fully managed container orchestration service, now makes it easier to create and update task definitions in the AWS Management Console with generative AI assistance from Amazon Q Developer.
This new capability helps customers complete their task definitions faster and more efficiently using AI-generated code suggestions. Customers can use the inline chat capability to ask Amazon Q Developer to generate, explain, or refactor task definition JSON with a conversational interface. You can inject generated suggestions at any point in the task definition and accept or reject the changes proposed. Amazon ECS has also enhanced the existing inline suggestions feature to utilize Amazon Q Developer. Now in addition to the existing property-based inline suggestions, the Amazon Q Developer suggestions can autocomplete whole blocks of sample code.
These updates are available in regions where Amazon Q Developer is available , and can be enabled or disabled through settings in the console code editor or IAM permissions. See the AWS Developer Guide for further details.
Chinese exports to the U.S. dropped 33 percent year-over-year in August, the country’s customs administration said Monday. Along with a 34% drop in May, the decrease is the steepest in …
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Here’s iFixit’s teardown of a robotic dog. The Unitree Go2, to be precise, and the repair specialists describe it as surprisingly affordable.
The post The Go2 robotic dog gets the iFixit teardown treatment appeared first on Electronics Weekly .