Category: Technical How-to

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. In part 1 of this two-part Spring Boot tutorial, we provided a brief introduction to Spring Cloud for AWS and covered how to display content of an […]

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 […]

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, […]

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 […]

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 […]

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 […]

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 […]

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 […]

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. […]

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 observability project OpenTelemetry.  As an engineer, understanding the performance and health of your applications and services is crucial. However, this can be challenging, especially when monitoring across various languages, infrastructures, and services. […]