Category: Developer Tools

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 […]

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 […]

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. […]

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 […]

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 […]

Modern applications are increasingly relying on compute platforms based on containers and serverless technologies to provide scalability, cost efficiency, and agility. Although this shift toward more distributed architectures has unlocked many benefits, it has also introduced new complexity in how the applications are operated. In times past, debugging was as straightforward as logging into the […]

AWS Cloud Development Kit (AWS CDK) is an open source software framework that allows users to define and provision AWS infrastructure using familiar programming languages. Using CDK, you can version control infrastructure, and the Infrastructure-as-Code concept opens up new opportunities to manage AWS infrastructure more efficiently and reliably. But when planning to deploy new AWS […]

Customers on AWS deploy trained machine learning (ML) and deep learning (DL) models in production using Amazon SageMaker, and using other services such as AWS Lambda, AWS Fargate, AWS Elastic Beanstalk, and Amazon Elastic Compute Cloud (Amazon EC2) to name a few. Amazon SageMaker provides SDKs and a console-only workflow to deploy trained models, and […]

As builders and developers, many of us are aware of the principle of Don’t Repeat Yourself (or DRY) and practice it every day. Entire runtimes and programming languages have been developed by taking that principle to an even higher level, with the core idea of writing software once and having it run on many different […]

In January, I published an article describing how to use AWS tools to build, test, and release server-side Swift code on two platforms: Amazon Elastic Container Service (Amazon ECS) and Elastic Compute Cloud (Amazon EC2) running Ubuntu Linux. Recently Swift.org has released official support for the Amazon Linux 2 operating system. This article is a […]