Raspberry Pi is looking for a new CFO following the announcement of the intention of current CFO Richard Boult (pictured) to leave the company in H2 2026 after 7 years …

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Please note that there are now only a few tables remaining for the Elektra Awards 2025 next month. With limited places available, make sure you book your place at the …

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Prague-based Prusa Research has introduced a larger version of its Core One 3d printer, with a print volume of  300 x 300 x 330mm compared with 250 x 220 x …

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AWS Config announces launch of an additional 42 managed Config rules for various use cases such as security, cost, durability, and operations. You can now search, discover, enable and manage these additional rules directly from AWS Config and govern more use cases for your AWS environment.

With this launch, you can now enable these controls across your account or across your organization. For example, you can evaluate your tagging strategies across Amazon EKS Fargate profiles, Amazon EC2 Network Insight Analyses, AWS Glue Machine learning transforms. Or you can assess your security posture across Amazon Cognito Identity pools, Amazon Lightsail buckets, AWS Amplify apps and more. Additionally, you can leverage Conformance Packs to group these new controls and deploy across an account or across organization, streamlining your multi-account governance.

For the full list of recently released rules, visit the AWS Config developer guide . For description of each rule and the AWS Regions in which it is available, please refer our Config managed rules documentation . To start using Config rules, please refer our documentation .

New Rules Launched:

1. AMPLIFY_APP_NO_ENVIRONMENT_VARIABLES
2. AMPLIFY_BRANCH_DESCRIPTION
3. APIGATEWAY_STAGE_DESCRIPTION
4. APIGATEWAYV2_STAGE_DESCRIPTION
5. API_GWV2_STAGE_DEFAULT_ROUTE_DETAILED_METRICS_ENABLED
6. APIGATEWAY_STAGE_ACCESS_LOGS_ENABLED
7. APPCONFIG_DEPLOYMENT_STRATEGY_MINIMUM_FINAL_BAKE_TIME
8. APPCONFIG_DEPLOYMENT_STRATEGY_TAGGED
9. APPFLOW_FLOW_TRIGGER_TYPE_CHECK
10. APPMESH_VIRTUAL_NODE_CLOUD_MAP_IP_PREF_CHECK
11. APPMESH_VIRTUAL_NODE_DNS_IP_PREF_CHECK
12. APPRUNNER_SERVICE_IP_ADDRESS_TYPE_CHECK
13. APPRUNNER_SERVICE_MAX_UNHEALTHY_THRESHOLD
14. APS_RULE_GROUPS_NAMESPACE_TAGGED
15. AUDITMANAGER_ASSESSMENT_TAGGED
16. BATCH_MANAGED_COMPUTE_ENV_ALLOCATION_STRATEGY_CHECK
17. BATCH_MANAGED_SPOT_COMPUTE_ENVIRONMENT_MAX_BID
18. COGNITO_IDENTITY_POOL_UNAUTHENTICATED_LOGINS
19. COGNITO_USER_POOL_PASSWORD_POLICY_CHECK
20. CUSTOMERPROFILES_DOMAIN_TAGGED
21. DEVICEFARM_PROJECT_TAGGED
22. DEVICEFARM_TEST_GRID_PROJECT_TAGGED
23. DMS_REPLICATION_INSTANCE_MULTI_AZ_ENABLED
24. EC2_LAUNCH_TEMPLATES_EBS_VOLUME_ENCRYPTED
25. EC2_NETWORK_INSIGHTS_ANALYSIS_TAGGED
26. EKS_FARGATE_PROFILE_TAGGED
27. GLUE_ML_TRANSFORM_TAGGED
28. IOT_SCHEDULED_AUDIT_TAGGED
29. IOT_PROVISIONING_TEMPLATE_DESCRIPTION
30. IOT_PROVISIONING_TEMPLATE_JITP
31. IOT_PROVISIONING_TEMPLATE_TAGGED
32. KINESIS_VIDEO_STREAM_MINIMUM_DATA_RETENTION
33. LAMBDA_FUNCTION_DESCRIPTION
34. LIGHTSAIL_BUCKET_ALLOW_PUBLIC_OVERRIDES_DISABLED
35. RDS_MYSQL_CLUSTER_COPY_TAGS_TO_SNAPSHOT_CHECK
36. RDS_PGSQL_CLUSTER_COPY_TAGS_TO_SNAPSHOT_CHECK
37. ROUTE53_RESOLVER_FIREWALL_DOMAIN_LIST_TAGGED
38. ROUTE53_RESOLVER_FIREWALL_RULE_GROUP_ASSOCIATION_TAGGED
39. ROUTE53_RESOLVER_FIREWALL_RULE_GROUP_TAGGED
40. ROUTE53_RESOLVER_RESOLVER_RULE_TAGGED
41. RUM_APP_MONITOR_TAGGED
42. RUM_APP_MONITOR_CLOUDWATCH_LOGS_ENABLED

AWS Config conformance packs and organization-level management capabilities for conformance packs are now available in additional AWS Regions. Conformance packs allow you to bundle AWS Config rules into a single package, simplifying deployment at scale. You can deploy and manage these conformance packs throughout your AWS environment.

Conformance packs provide a general-purpose compliance framework designed to enable you to create security, operational, or cost-optimization governance checks using managed or custom AWS Config rules. This allows you to monitor compliance scores based on your own groupings. With this launch, you can also manage the AWS Config conformance packs and individual AWS Config rules at the organization level which simplifies the compliance management across your AWS Organization.

With this expansion, AWS Config Conformance Packs are now also available in the following AWS Regions: Asia Pacific (Malaysia), Asia Pacific (New Zealand), Asia Pacific (Thailand), Asia Pacific (Taipei) and Mexico (Central).

To get started, you can either use the provided sample conformance pack templates or craft a custom YAML file from scratch based on a custom conformance pack . Conformance pack deployment can be done through the AWS Config console, AWS CLI, or via AWS CloudFormation. You will be charged per conformance pack evaluation in your AWS account per AWS Region. Visit the AWS Config pricing page for more details. To learn more about AWS Config conformance packs, see our documentation .

Amazon Bedrock AgentCore Runtime now supports two deployment methods for AI agents: container-based deployment and direct code upload. Developers can now choose between direct code-zip file upload for rapid prototyping and iteration, or leverage advanced container-based options for complex use cases requiring custom configurations.

AgentCore Runtime provides a serverless, framework and model agnostic runtime for running agents and tools at scale. This deployment option streamlines the prototyping workflow while maintaining enterprise security and scaling capabilities for production deployments. Developers can now deploy agents using direct code-zip upload with easy drag-and-drop functionality. This enables faster iteration cycles, empowering developers to prototype quickly and focus on building innovative agent capabilities.

This feature is available in all nine AWS Regions where Amazon Bedrock AgentCore Runtime is available: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland).

To learn more about AgentCore Runtime deployment options, see the AgentCore documentation and get started with the AgentCore Starter Toolkit . AgentCore offers consumption-based pricing with no upfront costs.

Amazon Relational Database Service (RDS) for Oracle is now available with R7i memory-optimized preconfigured instances that offer additional memory and storage I/O per vCPU. Powered by custom 4th Gen Intel Xeon Scalable processors with AWS Nitro System and DDR5 memory for high performance, these instances provide up to 64:1 memory-to-vCPU ratio. Many Oracle database workloads require high memory, but can safely reduce the number of vCPUs without impacting application performance. By running such Oracle database workloads on R7i pre-configured instances, customers can lower their Oracle database licensing and support costs while meeting high performance application requirements.

Memory optimized R7i pre-configured instances are available for Amazon RDS for Oracle with Bring Your Own License (BYOL) license model supporting both Oracle Database Enterprise Edition and Oracle Database Standard Edition 2. To learn more about Amazon RDS for Oracle R7i memory-optimized preconfigured instances, read RDS for Oracle User Guide and visit Amazon RDS for Oracle Pricing for available instance configurations, pricing details, and region availability.

AWS is expanding service reference information to include which operations are supported by AWS services and which IAM permissions are needed to call a given operation. This will help you answer questions such as “I want to call a specific AWS service operation, which IAM permissions do I need?”

You can automate the retrieval of service reference information, eliminating manual effort and ensuring your policies align with the latest service updates. You can also incorporate this service reference information directly into your policy management tools and processes for a seamless integration. This feature is offered at no additional cost. To get started, refer to the documentation on programmatic service reference information .

Starting today, you can add warm pools to Auto Scaling groups (ASGs) that have mixed instances policies . With warm pools, customers can improve the elasticity of their applications by creating a pool of pre-initialized EC2 instances that are ready to quickly serve application traffic. By combining warm pools with instance type flexibility, an ASG can rapidly scale out to its maximum size at any time, deploying applications across multiple instance types to enhance availability.

Warm pools are particularly beneficial for applications with lengthy initialization processes, such as writing large amounts of data to disk, running complex custom scripts, or other time-consuming setup procedures that can take several minutes or longer to serve traffic. With this new release, the warm pool feature now works seamlessly with ASGs configured for multiple On-Demand instance types, whether specified through manual instance type lists or attribute-based instance type selection. The combination of instance type flexibility and warm pools provides a powerful solution that helps customers scale out efficiently while maximizing availability.

The warm pool feature is available through the AWS Management Console , the AWS SDKs , and the AWS Command Line Interface (CLI) . It is available in all public AWS Regions and AWS GovCloud (US) Regions. To learn more about warm pools, visit this AWS documentation .

Starting today, AWS Cloud WAN is available in the AWS Asia Pacific (Thailand), AWS Asia Pacific (Taipei) and AWS Asia Pacific (New Zealand) Regions.

With AWS Cloud WAN, you can use a central dashboard and network policies to create a global network that spans multiple locations and networks, removing the need to configure and manage different networks using different technologies. You can use network policies to specify the Amazon Virtual Private Clouds, AWS Transit Gateways, and on-premises locations you want to connect to using an AWS Site-to-Site VPN, AWS Direct Connect, or third-party software-defined WAN (SD-WAN) products. The AWS Cloud WAN central dashboard generates a comprehensive view of the network to help you monitor network health, security, and performance. In addition, AWS Cloud WAN automatically creates a global network across AWS Regions by using Border Gateway Protocol (BGP) so that you can easily exchange routes worldwide.

To learn more, please visit the AWS Cloud WAN product detail page .