Category: Technical How-to

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. […]

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 […]

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 […]

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 […]

Major advancements in technology have drastically changed how and where we conduct business. Pushed by the increased number of employees working remotely, the globalization of businesses, and the rise of instant, on-demand communications, technology has had to adapt. For modern and innovative businesses to grow and globalize, building and maintaining quality relationships with partners, suppliers, […]

A common scenario AWS customers face is how to automate their infrastructure deployments on AWS. Customers must create a secure, agile workflow that deploys to the cloud and uses their preferred AWS services. Customers also need a reliable, supportable deployment pattern driven by automated workflows that are not overly complex and difficult to manage. Customer […]