Category: AWS Lambda

AWS Lambda SnapStart now supports container image functions, reducing startup times from several seconds to as low as sub-second. Learn how SnapStart for container images works, how to enable it on new or existing functions, and best practices for latency-sensitive workloads.

Lambda durable functions checkpoint execution state to durable storage, and for regulated payment workloads that data is sensitive. This post shows how to configure a customer managed key in AWS KMS to encrypt durable execution data, define a least-privilege key policy, and verify encryption through AWS CloudTrail, all deployed with Terraform.

AWS Lambda now supports scalable network bandwidth for functions with 2,048 MB of memory or more running outside a VPC. Sustained throughput scales from 625 Mbps up to 3,000 Mbps at 10,240 MB, reducing execution times and per-invocation costs for latency-sensitive data processing workloads.

Many teams want to expose their AWS Lambda MicroVMs under a custom domain they own, and satisfy CORS for browser clients, without changing the application. This post shows how, using an Application Load Balancer that rewrites the Host header and forwards over AWS PrivateLink, deployed with the AWS CDK.

Learn how to run AI agent tool calls in secure, isolated sandboxes using AWS Lambda MicroVMs. This post shows how to architect a self-hosted control plane that launches a fresh, VM-isolated MicroVM for each agent session, keeping credentials, networking, and governance entirely within your own AWS account.

AWS Lambda now supports a 90-minute function timeout for asynchronous and event source mapping (ESM) invocations on Lambda Managed Instances, a 6x increase from the previous 15-minute limit. Data processing, media transcoding, AI inference, and batch workloads can now run on Lambda without re-architecting.

AWS Lambda introduces public preview runtimes, a new way to try upcoming language versions before GA. Start using Node.js 26 and Python 3.15 today, provide feedback, and help shape runtime quality before general availability.

Feature toggles allow you to change application behavior in real time without deploying new code. Learn how to implement dynamic feature flags with AWS AppConfig on AWS Lambda for safe deployments, gradual rollouts, and instant rollback.

Learn observability best practices for AWS Lambda durable functions, including CloudWatch metrics, custom alarms, structured logging, and X-Ray tracing for debugging callback timeouts end-to-end.

Learn how to collect CPU and memory metrics from AWS Lambda MicroVMs using the CloudWatch Agent. Configure telegraf and OTel to monitor and right-size your workloads.