ACUVA

Your Accurate Search for New Technology

Amazon EC2 C7i-flex and M7i-flex instances are now available in additional AWS Regions

By

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex (C7i-flex, M7i-flex) instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Thailand) and Mexico (Central) regions. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. C7i-flex and M7i-flex instances deliver up to 19% better price-performance compared to C6i and M6i instances respectively. These instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual desktops, batch-processing, microservices, databases, caches, and more. For workloads that need larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage C7i and M7i instances.

C7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Seoul, Singapore, Sydney, Thailand, Tokyo), Mexico (Central), South America (São Paulo), and AWS GovCloud (US-West).

M7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Seoul, Singapore, Sydney, Thailand, Tokyo), Mexico (Central), South America (São Paulo), and the AWS GovCloud (US-East, US-West).
 

AWS PrivateLink cross-region connectivity now available in 6 additional regions

By

AWS PrivateLink now supports native cross-region connectivity in the following additional Regions: Canada West (Calgary), Europe (Zurich), Middle East (UAE) and Asia Pacific (Hyderabad, Jakarta, Melbourne).

This launch enables customers to connect to VPC endpoint services hosted in other AWS Regions in the same AWS pa rtition over Interface endpoints. As a service provider, you can enable access to your VPCE service for customers in all existing and upcoming AWS Regions without the need to setup additional infrastructure in each region. As a service consumer, you can privately connect to VPCE services in other AWS Regions without the need to setup cross-region peering or exposing your data over the public internet. Cross-region enabled VPCE services can be accessed through Interface endpoints at a private IP address in your VPC, enabling simpler and more secure inter-region connectivity.

To learn about pricing for this feature, please see the AWS PrivateLink pricing page . To learn more, read our blog and visit AWS PrivateLink in the Amazon VPC Developer Guide.
 

PySpark available in AWS Clean Rooms

By

Today, AWS announces the general availability of PySpark in AWS Clean Rooms, enabling companies and their partners to run sophisticated analytics across large datasets using PySpark, the Python API for Apache Spark . With this launch, you and your partners can bring PySpark code and libraries to an AWS Clean Rooms collaboration and run advanced analyses without having to share underlying data or proprietary analysis methods. For example, an advertising measurement provider can use PySpark in AWS Clean Rooms to run their custom algorithms across multiple publisher datasets simultaneously to measure ad effectiveness. Similarly, a pharmaceutical company can run their proprietary algorithms and libraries across multiple healthcare provider datasets with appropriate patient consent to evaluate drug adherence across clinical trials, without sharing their proprietary data.

AWS Clean Rooms helps companies and their partners to easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. Companies can deploy their own clean rooms without having to build, manage, or maintain their own solutions or move data outside of their AWS environment. PySpark in AWS Clean Rooms is generally available in these AWS Regions . To learn more, visit AWS Clean Rooms .

Amazon Bedrock Guardrails announces policy based enforcement for responsible AI

By

Amazon Bedrock Guardrails announces Identity and Access Management (IAM) policy-based enforcement capabilities to build safe, generative AI applications at scale. This new feature enables customers to apply specific guardrails to model inference calls, ensuring responsible AI policies are applied across all AI interactions. Bedrock Guardrails provides configurable safeguards to detect and filter undesirable content, topic filters to define and disallow specific topics, sensitive information filters to redact personally identifiable information (PII), word filters to block specific words, and detect model hallucinations by detecting grounding and relevance of model responses and identify, correct, and explain factual claims in model responses using Automated Reasoning checks. Guardrails can be applied across any foundation model including those hosted with Amazon Bedrock, self-hosted models, and third-party models outside Bedrock using the ApplyGuardrail API , providing a consistent user experience and standardizing safety and privacy controls.

Starting today, Bedrock Guardrails provides a new condition key bedrock:GuardrailIdentifier that can be used in IAM policies to enforce the use of specific guardrails with associated policies. This new condition key can be applied on all Bedrock Invoke and Converse APIs. If the guardrail configured in your IAM policy does not match the specified guardrail, the request will be rejected, ensuring compliance with the responsible AI policies of the organization.

IAM policy-based enforcement to comply with responsible AI policies is now available in all AWS regions where Bedrock Guardrails is supported today.

To learn more, see the technical documentation and the Bedrock Guardrails product page .

Amazon CloudWatch Database Insights available in AWS GovCloud (US) regions

By

Amazon CloudWatch Database Insights announces support for Amazon Aurora and RDS databases hosted in the AWS GovCloud (US) Regions. 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 Aurora and RDS clusters using the service consoles, 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 now available in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions, and applies a new vCPU-based pricing – see pricing page for details. For further information, visit the Database Insights documentation.

Scroll Up