Category: Open Source

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 […]

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 […]

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 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 […]

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 […]

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. […]