Amazon Web Services FeedAWS adds Prometheus Remote Write Exporter to OpenTelemetry Collector In this post, AWS intern Yang Hu describes how he made his first engineering contributions to the popular open source observability project—OpenTelemetry. His contributions to OpenTelemetry included adding a Prometheus Remote Write Exporter to the OpenTelemetry Collector. This exporter enables you to send…
Amazon Web Services FeedArchiving and replaying events with Amazon EventBridge Amazon EventBridge is a serverless event bus used to decouple event producers and consumers. Event producers publish events onto an event bus, which then uses rules to determine where to send those events. The rules determine the targets, and EventBridge routes the events accordingly. In…
2020 – what a ride it’s been! The state of the world this year has definitely been unpredictable and ever more surprising. So for some interesting insights and stability, we’ve turned to Lambdas. Namely, the state of Lambda functions in 2020! Ever wondered how others look without *their face masks on? At Dashbird, we get to (metaphorically speaking) see what…
Amazon Web Services Feed“Even simple serverless applications have complex architecture diagrams”, so what? A common complaint I have heard about serverless applications is that they tend to look really complicated on architecture diagrams, with many moving parts. But does it mean serverless applications are more complex compared to their serverful counterparts? Before I get to that,…
Amazon Web Services FeedHow AWS Machine Learning Services Increase Medical Coding Accuracy and Efficiency By Pavel Vasilyev, Director of Solutions Architecture at ClearScaleBy Vyacheslav Gorlov, Sr. Solutions Architect at ClearScale Medical coding helps providers maintain patient records and obtain reimbursement for services. Unfortunately, the process is complicated, time-consuming, and prone to error. Among the most…
Amazon Web Services FeedBringing your own custom container image to Amazon SageMaker Studio notebooks Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio lets data scientists spin up Studio notebooks to explore data, build models, launch Amazon SageMaker training jobs, and deploy hosted endpoints. Studio notebooks come…