AWS Developer Tools Blog
Category: Compute
Using Amazon Corretto (OpenJDK) for lean, fast, and efficient AWS Lambda Applications
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 […]
Read MoreTuning Apache Kafka and Confluent Platform for Graviton2 using Amazon Corretto
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 […]
Read MoreIntroducing .NET Annotations Lambda Framework (Preview)
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 […]
Read More.NET at re:Invent 2021
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 […]
Read MoreAWS Batch Application Orchestration using AWS Fargate
Many customers prefer to use Docker images with AWS Batch and AWS Cloudformation for cost-effective and faster processing of complex jobs. To run batch workloads in the cloud, customers have to consider various orchestration needs, such as queueing workloads, submitting to a compute resource, prioritizing jobs, handling dependencies and retries, scaling compute, and tracking utilization […]
Read MoreVirus scan S3 buckets with a serverless ClamAV based CDK construct
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 […]
Read MoreRecommended AWS CDK project structure for Python applications
In this blog post, I describe the recommended AWS Cloud Development Kit (AWS CDK) project structure for Python applications. This is based on Best practices for developing and deploying cloud infrastructure with the AWS CDK.
Read MoreBuilding an Apache Kafka data processing Java application using the AWS CDK
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 […]
Read MoreBuild and Deploy .Net Core WebAPI Container to Amazon EKS using CDK & cdk8s
In this blog, we will leverage the development capabilities of the CDK for Kubernetes framework also known as cdk8s along with the AWS Cloud Development Kit (AWS CDK) framework to provision infrastructure through AWS CloudFormation. cdk8s allows us to define Kubernetes apps and components using familiar languages. cdk8s is an open-source software development framework for defining Kubernetes applications and […]
Read MoreAnnouncing end of support for Neuron Conda packages in Deep Learning AMI
Starting with Neuron SDK v1.14.0, Neuron conda packages used to install Neuron SDK framework in Deep Learning AMI will no longer be supported. users should use pip upgrade command instead.
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