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AWS WAF enhances integration with Service Quotas

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AWS WAF enhances Service Quotas capabilities, enabling organizations to proactively monitor and manage quotas for their cloud deployments.

AWS WAF is a web application firewall that helps protect your web applications or APIs against common web exploits and bots that may affect availability, compromise security, or consume excessive resources. By leveraging AWS Service Quotas, you can quickly understand your applied service quota values for these WAF resources and request increases when needed. This enhanced integration brings three key benefits. First, you can now monitor the current utilization of your account-level quotas for WAF resources such as web ACLs, rule groups, and IP sets in the Service Quotas console. Second, certain service quota increase requests will now be auto-approved, enabling customers to access higher quotas faster. For example, smaller increases are usually automatically approved while larger requests are submitted to AWS Support. Lastly, you can now create Amazon CloudWatch alarms to notify you when your utilization of a given quota exceeds a configurable threshold. This enables you to better adapt your utilization based on your applied quota values and automate your quota increase requests.

You can access AWS Service Quotas through the AWS console, AWS APIs , and CLI. Integration with AWS Service Quotas is available in all AWS regions where AWS WAF is offered. You can learn more about AWS WAF by visiting Developer Guide .
 

Amazon EC2 C7gd instances are now available in the AWS GovCloud (US-East) Region

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Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in the AWS GovCloud (US-East) Region.

These Graviton3-based instances with DDR5 memory are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. They have up to 45% improved real-time NVMe storage performance than comparable Graviton2-based instances. Graviton3-based instances also use up to 60% less energy for the same performance than comparable EC2 instances, enabling you to reduce your carbon footprint in the cloud.

C7gd instances are now available in the following AWS regions: US East (N. Virginia, Ohio), US West (Oregon, N. California), Europe (Spain, Stockholm, Ireland, Frankfurt), Asia Pacific (Tokyo, Mumbai, Singapore, Sydney, Malaysia) and AWS GovCloud (US-East).
 

Anthropic's Claude 3.7 Sonnet is now available in Amazon Bedrock

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Anthropic’s Claude 3.7 Sonnet hybrid reasoning model, their most intelligent model to date, is now available in Amazon Bedrock. Claude 3.7 Sonnet represents a significant advancement in AI capabilities, offering both quick responses and extended, step-by-step thinking made visible to the user. This new model includes strong improvements in coding and brings enhanced performance across various tasks, like instruction following, math, and physics.

Claude 3.7 Sonnet introduces a unique approach to AI reasoning by integrating it seamlessly with other capabilities. Unlike traditional models that separate quick responses from those requiring deeper thought, Claude 3.7 Sonnet allows users to toggle between standard and extended thinking modes. In standard mode, it functions as an upgraded version of Claude 3.5 Sonnet. While in extended thinking mode, it employs self-reflection to achieve improved results across a wide range of tasks. Amazon Bedrock users can adjust how long the model thinks, offering a flexible trade-off between speed and answer quality. Additionally, users can control the reasoning budget by specifying a token limit, enabling more precise management of cost.

Anthropic has optimized Claude 3.7 Sonnet for real-world applications that align closely with typical language model use cases, rather than focusing solely on math and computer science competition problems. This approach ensures that the model is well-suited to address the diverse needs of customers across various industries and use cases.

Claude 3.7 Sonnet is now available in Amazon Bedrock in the US East (N. Virginia), US East (Ohio), and US West (Oregon) regions. To get started, visit the Amazon Bedrock console . Integrate it into your applications using the Amazon Bedrock API or SDK. For more information and to learn more read the AWS News Blog and Claude in Bedrock product detail page.
 

Amazon Verified Permissions now supports the Cedar JSON entity format

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Amazon Verified Permissions now supports the same JSON format for entity and context data, as the Cedar SDK. Developers can use this simpler format for authorization requests. This aligns the Amazon Verified Permissions API more closely with the open source Cedar SDK, and simplifies moving from the SDK to Amazon Verified Permissions or vice versa.

Amazon Verified Permissions is a permissions management and fine-grained authorization service for the applications that you build. Using Cedar , an expressive and analyzable open-source policy language, developers and admins can define policy-based access controls using roles and attributes for more granular, context-aware access control. For example, an HR application might call Amazon Verified Permissions (AVP) to determine if Alice is permitted to access Bob’s performance evaluation, given that she is in the HR Managers group. Customers can use Cedar JSON format to pass entity data describing the principal (Alice) and the resource (Bob’s performance evaluation).

This change is available in all AWS regions supported by Amazon Verified Permissions. The service will continue to support the old format, and so the change does not break existing application integrations. To learn more about using the Cedar JSON format, see Cedar JSON entity in the Cedar user guide and the Verified Permissions user guide. To learn more about Amazon Verified Permissions, visit the product page. For more information visit the Verified Permissions product page .
 

CloudWatch Database Insights adds support for RDS databases

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CloudWatch Database Insights announces support of databases hosted on Amazon Relational Database Service (RDS). Database Insights is a database observability solution that provides a curated experience designed for DevOps engineers, application developers, and database administrators (DBAs) to expedite database troubleshooting and gain a holistic view into their database fleet health.

Database Insights consolidates logs and metrics from your applications, your databases, and the operating systems on which they run into a unified view in the console. Using its pre-built dashboards, recommended alarms, and automated telemetry collection, you can monitor the health of your database fleets and use a guided troubleshooting experience to drill down to individual instances for root-cause analysis. Application developers can correlate the impact of database dependencies with the performance and availability of their business-critical applications. This is because they can drill down from the context of their application performance view in Amazon CloudWatch Application Signals to the specific dependent database in Database Insights.

You can get started with Database Insights by enabling it on your RDS databases using the RDS service console, AWS APIs, and SDKs. Database Insights delivers database health monitoring aggregated at the fleet level, as well as instance-level dashboards for detailed database and SQL query analysis.

Database Insights is available in all public AWS Regions and applies a new vCPU-based pricing – see pricing page for details. For further information, visit the Database Insights documentation .

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