Category: AWS Lambda

Using Amazon Corretto (OpenJDK) for lean, fast, and efficient AWS Lambda By Guest Blogger Adam Bien In this post, I will discuss how you can launch large, monolithic applications on top of AWS Lambda, and I’ll show that they perform well and are cost effective. You’ll learn that the same application you develop for Lambda […]

Tuning Apache Kafka and Confluent Platform for Graviton2 using Amazon Corretto By Guest Blogger Liz Fong-Jones, Principal Developer Advocate, Honeycomb.io Background Honeycomb is a leading observability platform used by high-performance engineering teams to quickly visualize, analyze, and improve cloud application quality and performance. We utilize the OpenTelemetry standard to ingest data from our clients, including […]

Recently we released the .NET 6 managed runtime for Lambda. Along with the new Lambda runtime we have also been working on a new framework for writing .NET 6 Lambda functions called Lambda Annotations. The Annotations framework makes the experience of writing Lambda feel more natural in C#. It also takes care of synchronizing the […]

Running .NET applications on AWS has never been better and our sessions at re:Invent this year reflect that excitement. All our sessions are for builders who want real-world insights and coding examples they can immediately apply in their applications. We also have a virtual option for those who cannot make it to Las Vegas. This […]

Edit: March 10th 2022 – Updated post to use AWS Cloud Development Kit (CDK) v2. Protecting systems from malware is an essential part of a systems protection strategy. It is important to both scan binaries and other files before introducing them into your system boundary and appropriately respond to potential threats in accordance to your […]

September 22, 2022: Migrated the reference application to AWS CDK v2. Renamed deployment.py to backend/component.py to support multi-component use cases and better emphasize the mapping of AWS Well-Architected Framework component terminology. Renamed pipeline.py to toolchain.py to expand the scope to any tools related to component’s software development life cycle (e.g. continuous deployment pipeline, pull request […]

Building an Apache Kafka data processing Java application using the AWS CDK Piotr Chotkowski, Cloud Application Development Consultant, AWS Professional Services Using a Java application to process data queued in Apache Kafka is a common use case across many industries. Event-driven and microservices architectures, for example, often rely on Apache Kafka for data streaming and […]

In a previous post, we showed how you can use the AWS Cloud Development Kit (AWS CDK) and AWS Chalice to develop both infrastructure and application logic as code. To help combine the two frameworks together, a cdk-chalice construct library was used that handled the low-level communication details. In collaboration with the original developer of […]

Yesterday, the AWS Lambda team announced support for publishing Lambda functions as container images. As part of that release, we updated the AWS Lambda .NET tooling to support building Lambda functions as container images for .NET Core 2.1 and 3.1, as well as full support for .NET 5. .NET 5, which was released last month, […]

One of the most asked feature requests we’ve received from AWS Java SDK customers is to improve SDK startup latency, and in the development of AWS Java SDK 2.x, we’ve put a focus on SDK cold startup time for AWS Lambda functions. In this blog post, we will share the best practices on how to […]