Category: Compute

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 […]

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 […]

Since its release as an officially supported AWS tool and open source project in November 2018, AWS ParallelCluster has made it simple for high performance computing (HPC) customers to set up easy-to-use environments with compute, storage, job scheduling, and networking in the cloud in one cohesive package. These clusters can cater to a wide variety […]

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, […]

Prometheus is an open source systems monitoring and alerting toolkit that is widely adopted as a standard monitoring tool with self-managed and provider-managed Kubernetes. Prometheus provides many useful features, such as dynamic service discovery, powerful queries, and seamless alert notification integration. Beyond certain scale, however, problems arise when basic Prometheus capabilities do not meet requirements […]

AWS Graviton2 processors deliver a major leap in performance and capabilities over first-generation AWS Graviton processors. They power Amazon Elastic Compute Cloud (Amazon EC2) M6g, C6g, and R6g instances, and their variants with local disk storage. Graviton2-based EC2 instances provide up to 40% better price/performance over comparable current generation x86-based instances for a wide variety […]