One of the challenges with distributed systems is that they are made up of many interdependent services, which add a degree of complexity when you are trying to monitor their performance. Determining which services and APIs are experiencing high latencies or degraded availability requires manually putting together telemetry signals. This can result in time and […]
Author Archives: Lucian Systems
Today, we are announcing the general availability of myApplications supporting application operations, a new set of capabilities that help you get started with your applications on AWS, operate them with less effort, and move faster at scale. With myApplication in the AWS Management Console, you can more easily manage and monitor the cost, health, security […]
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Throughout history, people have developed tools and systems to augment and amplify their own capabilities. Whether the printing press or the assembly line, these innovations have allowed us to do more than we ever could alone. Jobs changed, new professions emerged, and people adapted. In the past year, the rate of change has rapidly accelerated. […]
OpenTelemetry is a set of APIs, libraries, agents, and instrumentation that empower developers to observe, collect, and manage telemetry data (metrics, logs, and traces) from their services for improved reliability, understandability, and debuggability. The project is a merger of two formerly separate projects: OpenTracing and OpenCensus. By combining the best features from both, OpenTelemetry aims […]
Today we are excited to announce the general availability of SaaS Quick Launch, a new feature in AWS Marketplace that makes it easy and secure to deploy SaaS products. Before SaaS Quick Launch, configuring and launching third-party SaaS products could be time-consuming and costly, especially in certain categories like security and monitoring. Some products require […]
Australia pioneered water rights trading in the early 1900s, becoming a world leader in water sharing between valleys. The initiative extended throughout the states of Australia across the Murray-Darling Basin (MDB). However, findings from the water market’s inquiry of the MDB, completed by the Australian Consumer and Competition Commission (ACCC) and the Department of Climate […]
I’m happy to share that Amazon SageMaker now comes with an improved model deployment experience to help you deploy traditional machine learning (ML) models and foundation models (FMs) faster. As a data scientist or ML practitioner, you can now use the new ModelBuilder class in the SageMaker Python SDK to package models, perform local inference […]
Today, I’m happy to introduce the ability to use natural language instructions in Amazon SageMaker Canvas to explore, visualize, and transform data for machine learning (ML). SageMaker Canvas now supports using foundation model-(FM) powered natural language instructions to complement its comprehensive data preparation capabilities for data exploration, analysis, visualization, and transformation. Using natural language instructions, […]
Today, we are announcing new Amazon SageMaker inference capabilities that can help you optimize deployment costs and reduce latency. With the new inference capabilities, you can deploy one or more foundation models (FMs) on the same SageMaker endpoint and control how many accelerators and how much memory is reserved for each FM. This helps to […]