AWS Open Source Blog

Category: Open Source

Getting started with Spring Boot on AWS: Part 1

This is a guest post from Björn Wilmsmann, Philip Riecks, and Tom Hombergs, authors of the upcoming book Stratospheric: From Zero to Production with Spring Boot and AWS. Spring Boot is the leading framework for building applications in the Java Virtual Machine (JVM) ecosystem. In a nutshell, open source Spring Boot adds auto-configuration on top […]

Read More

AWS adds Prometheus Remote Write Exporter to OpenTelemetry Collector

In this post, AWS intern Yang Hu describes how he made his first engineering contributions to the popular open source observability project—OpenTelemetry. His contributions to OpenTelemetry included adding a Prometheus Remote Write Exporter to the OpenTelemetry Collector. This exporter enables you to send system metrics generated from OpenTelemetry API, Prometheus instrumented libraries, or other sources, […]

Read More

Building the future of robots development with ROS 2

Few things have changed the world more than the internet, and at the heart of the internet is the open source LAMP stack. LAMP, short for Linux, Apache, MySQL, and PHP, enabled developers to build new, interactive web experiences that have changed the way we shop, communicate, learn, and more. In robotics, we’re on the […]

Read More

Distributed tracing with OpenTelemetry

These days, more and more systems deploy as a set of services using containers. You may already be using services like Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS) for quickly getting started with container workloads. Separating out services enables separation of concerns that can enable teams to operate independently […]

Read More
Diagram of the Lambda Powertools framework.

Simplifying serverless best practices with AWS Lambda Powertools Java

Modern applications are increasingly relying on compute platforms based on serverless technologies to provide scalability, cost efficiency, and agility. Distributed architectures have unlocked many benefits, and they have introduced new complexities in how the applications operate. With traditional architectures, debugging was as straightforward as logging into the server and inspecting the logs. Modern observability must […]

Read More
3dddcharacter – stock.adobe.com

Containerize and deploy a gRPC application on AWS Fargate

These days, building an application distributed among processes, hosts, or even networks is much easier. This is partially due to an evolution in the protocols used to negotiate between different components of an application or service. This evolution is largely the result of the popularity of both the TCP and HTTP protocols as a means […]

Read More

Monitoring application health and performance with AWS Distro for OpenTelemetry

A key challenge for any developer operations team is to gain full observability of a service’s health. You may already use great monitoring products from providers such as Amazon, Google, Splunk, and others. However, most of these vendors define their own data specification for metrics, traces, and logs. It is difficult for customers to switch […]

Read More

AWS Distro for OpenTelemetry now available for public preview

Today’s distributed applications and systems are complex and constantly changing, making system observability challenging. For example, customers use multiple AWS SDKs and agents from different monitoring services to collect and analyze different performance data for their applications. Yesterday we announced the AWS Distro for OpenTelemetry, a 100% open source distribution of the OpenTelemetry project, which […]

Read More

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 […]

Read More

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 […]

Read More