AWS Open Source Blog

Category: Open Source

Virtual GPU device plugin for inference workloads in Kubernetes

Machine learning (ML) has become a centerpiece for enterprise transformation. AWS provides a broad and deep set of ML capabilities for builders with all levels of expertise. Developers with no prior ML experience can seamlessly build sophisticated AI-driven applications using AWS AI services. Developers and data scientists can use Amazon SageMaker, a managed machine learning […]

Managing compute environments for researchers with Service Workbench on AWS

Through cloud automation, researchers should be able to quickly and securely stand up cloud-based research environments that allow them to shift away from worrying about the technology they are using, and instead focus on their research and collaborating with peers from any institution. Once researchers have secured funding for a project, they must choose from […]

Open sourcing the Porting Assistant for .NET

In July 2020, AWS launched the Porting Assistant for .NET, a tool for analyzing the compatibility of .NET Framework applications and estimating the effort required to port them to .NET Core. Porting applications to .NET Core enables you to take advantage of future investments in .NET, reduced license spend, and innovations to improve application scaling […]

Getting started with the open source data science tool Metaflow on AWS

Data science is hard. Customers face business challenges today at a scale larger and more complex than ever before, and data scientists bring unique skills to the table to help solve some of those problems. The concept is simple: Data scientists use large amounts of data to break a problem down into pieces that machines […]

Integrating the OpenTelemetry JavaScript SDK with AWS X-Ray

In this blog post, AWS intern Cong Zou shares his experience contributing to a large open source project—OpenTelemetry—for the first time. OpenTelemetry provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from applications. Users can analyze these traces and metrics using Prometheus, Jaeger, and other observability tools. […]

Building a Prometheus remote write exporter for the OpenTelemetry Go SDK

Update: Please note that the exporter detailed in this blog post has been retired. See the AWS Distro for OpenTelemetry (ADOT) blog post on migrating to the new setup for further details. In this post, two AWS interns—Eric Lee and Connor Lindsey—describe their experience building a Prometheus remote write exporter for the popular open source […]

Using multiple queues and instance types in AWS ParallelCluster 2.9

Since its release as an officially supported AWS tool and open source project in November 2018, AWS ParallelCluster has made it simple for high performance computing (HPC) customers to set up easy-to-use environments with compute, storage, job scheduling, and networking in the cloud in one cohesive package. These clusters can cater to a wide variety […]

Diagram Maker: Open sourcing IoT visualization

Today we are announcing Diagram Maker, an open source graphical user interface library for IoT application developers. With Diagram Maker, IoT application developers can define their own user interface and user experience, or suppress it completely and build their own custom behavior using Diagram Maker APIs. In this post, we explain how IoT application developers […]

Testing the OpenTelemetry C++ Prometheus Exporter

In this post AWS intern Eric Hsueh shares his experience working on OpenTelemetry. OpenTelemetry aims to be the industry standard in collecting telemetry data, which includes metrics, tracing, and logs. Together with fellow AWS intern Cunjun Wang, we developed a C++ Prometheus Exporter as a contribution to the C++ repository of the open source project […]

Using the K3s Kubernetes distribution in an Amazon EKS CI/CD pipeline

Modern microservices application stack, CI/CD pipeline, Kubernetes as orchestrator, hundreds or thousands of deployments per day—this all sounds good, until you realize that your Kubernetes development or staging environments are messed up by these deployments, and changes done by one developer team are affecting your developer team’s Kubernetes environment. In this post, we will walk […]