re:Invent 2020 Heroes Update - Thus Far
Building Extensions for AWS Lambda – In preview
AWS compute blog
In this post I explain how Lambda extensions work, the changes to the Lambda lifecycle, and how to build an extension.
Building event-driven architectures with Amazon SNS FIFO
AWS compute blog
In this blog post, I introduce a sample event-driven architecture. I walk through an implementation based on Amazon SNS FIFO topics and Amazon SQS FIFO queues.
Archiving and replaying events with Amazon EventBridge
AWS compute blog
With the announcement of event replay, EventBridge can now record any events processed by any type of event bus. Replay stores these recorded events in archives. You can choose to record all events, or filter events to be archived by using the same event pattern matching logic used in rules.
Introducing Amazon API Gateway service integration for AWS Step Functions
AWS compute blog
The new Step Functions integration with API Gateway provides an additional resource type, arn:aws:states:::apigateway:invoke and can be used with both Standard and Express workflows. It allows customers to call API Gateway REST APIs and API Gateway HTTP APIs directly from a workflow, using one of two integration patterns.
Sessions With SAM
Serverless Land
Dedicated to teaching folks how to build better #Serverless with AWS SAM.
New for AWS Lambda – 1ms Billing Granularity Adds Cost Saving
AWS compute blog
Starting today, we are rounding up duration to the nearest millisecond with no minimum execution time. With this new pricing, you are going to pay less most of the time, but it’s going to be more noticeable when you have functions whose execution time is much lower than 100ms, such as low latency APIs.
New for AWS Lambda – Container Image Support
AWS compute blog
You can now package and deploy Lambda functions as container images of up to 10 GB in size. In this way, you can also easily build and deploy larger workloads that rely on sizable dependencies, such as machine learning or data intensive workloads.
Using AWS Lambda extensions to send logs to custom destinations
AWS compute blog
You can now send logs from AWS Lambda functions directly to a destination of your choice using AWS Lambda Extensions. Lambda Extensions are a new way for monitoring, observability, security, and governance tools to easily integrate with AWS Lambda.
Creating faster AWS Lambda functions with AVX2
AWS compute blog
This blog post explains AVX2 and how you can take advantage of this instruction set in your Lambda functions. I walk through an example of how to enhance performance of a typical use case using AVX2 and measure the performance gain. This feature is available for new or existing Lambda-based workloads at no additional cost.
Improved failure recovery for Amazon EventBridge
AWS compute blog
With DLQs, you can have greater resiliency and improved recovery from any failure that happens. You can also now configure a custom retry policy that can be set on your event bus targets. Today, there are two attributes that can control how events are retried: maximum number of retries and maximum event age. With these two settings, you could send events to a DLQ sooner and reduce the retries attempted.
New Synchronous Express Workflows for AWS Step Functions
AWS compute blog
Synchronous Express Workflows allow developers to quickly receive the workflow response without needing to poll additional services or build a custom solution. This is useful for high-volume microservice orchestration and fast compute tasks that communicate via HTTPS.
Introducing Amazon Managed Workflows for Apache Airflow (MWAA)
AWS compute blog
Airflow workflows retrieve input from sources like Amazon Simple Storage Service (S3) using Amazon Athena queries, perform transformations on Amazon EMR clusters, and can use the resulting data to train machine learning models on Amazon SageMaker. Workflows in Airflow are authored as Directed Acyclic Graphs (DAGs) using the Python programming language.
New for AWS Lambda – Functions with Up to 10 GB of Memory and 6 vCPUs
AWS compute blog
Starting today, you can allocate up to 10 GB of memory to a Lambda function. This is more than a 3x increase compared to previous limits. Lambda allocates CPU and other resources linearly in proportion to the amount of memory configured. That means you can now have access to up to 6 vCPUs in each execution environment.
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Introducing AWS Lambda Extensions – In preview
AWS compute blog
AWS Lambda is announcing a preview of Lambda Extensions, a new way to easily integrate Lambda with your favorite monitoring, observability, security, and governance tools. In this post I explain how Lambda extensions work, how you can begin using them, and the extensions from AWS Lambda Ready Partners that are available today.