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AWS Lambda now supports SnapStart for Python and .NET functions

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Starting today, you can use Lambda SnapStart with your functions that use the Python and .NET managed runtimes, to deliver as low as sub-second startup performance. Lambda SnapStart is an opt-in capability that makes it easier for you to build highly responsive and scalable applications without provisioning resources or implementing complex performance optimizations.

For latency sensitive applications that support unpredictable bursts of traffic, high startup latencies—known as cold starts—can cause delays in your users’ experience. Lambda SnapStart can improve startup times by initializing the function’s code ahead of time, taking a snapshot of the initialized execution environment, and caching it. When the function is invoked and subsequently scales up, Lambda SnapStart resumes new execution environments from the cached snapshot instead of initializing them from scratch, significantly improving startup latency. Lambda SnapStart is ideal for applications such as synchronous APIs, interactive microservices, data processing, and ML inference.

Lambda SnapStart for Python and .NET is generally available in the following AWS Regions : US East (Ohio, N. Virginia), US West (Oregon), Asia Pacific (Singapore, Tokyo, Sydney), and Europe (Frankfurt, Ireland, Stockholm).

You can activate SnapStart for new or existing Lambda functions running on Python 3.12 (and newer) and .NET 8 (and newer) using the AWS Lambda API, AWS Management Console, AWS Command Line Interface (AWS CLI), AWS Cloud Formation, AWS Serverless Application Model (AWS SAM), AWS SDK, and AWS Cloud Development Kit (AWS CDK). For more information, see the Lambda documentation , or the launch blog post . To learn more about pricing for SnapStart on Python and .NET, visit AWS Lambda Pricing

Amazon VPC Lattice now supports Amazon Elastic Container Service (Amazon ECS)

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Amazon VPC Lattice now provides native integration with Amazon ECS , Amazon’s fully managed container orchestration service that makes it easy for you to deploy, manage, and scale containerized applications. This launch enables VPC Lattice to offer comprehensive support across all major AWS compute services, including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Kubernetes Service (Amazon EKS), AWS Lambda, Amazon ECS, and AWS Fargate. VPC Lattice is a managed application networking service that simplifies the process of connecting, securing, and monitoring applications across AWS compute services, allowing developers to focus on building applications that matter to their business while reducing time and resources spent on network setup and maintenance.

With native ECS integration, you can now directly associate your ECS services with VPC Lattice target groups, eliminating the need for an intermediate Application Load Balancer (ALB). This streamlined integration reduces cost, operational overhead, and complexity, while enabling you to leverage the complete feature sets of both ECS and VPC Lattice. Organizations with diverse compute infrastructure, such as a mix of Amazon EC2, Amazon EKS, AWS Lambda, and Amazon ECS workloads, can benefit from this launch by unifying service-to-service connectivity, security, and observability across all compute platforms.

This new feature is available in all AWS Regions where Amazon VPC Lattice is available.

To get started, see the following resources:

Amazon Aurora MySQL now supports R7i instances

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Amazon Aurora with MySQL compatibility now supports R7i database instances powered by custom 4th Generation Intel Xeon Scalable processors. R7i instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. These instances are now available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney, Tokyo), Canada (Central), and Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm).

You can spin up R7i database instances in the Amazon RDS Management Console or using the AWS CLI . Upgrading a database instance to R7i instance family requires a simple instance type modification. For more details, refer to the Aurora documentation .

Amazon Aurora is designed for unparalleled high performance and availability at global scale with MySQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page .
 

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