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Showing results for tags 'visualization'.
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In the vibrant atmosphere of PromCon during the last week of September, attendees were treated to a plethora of exciting updates from the Prometheus universe. A significant highlight of the event has been the unveiling of the Perses project. With its innovative approach of dashboard as code, GitOps, and Kubernetes native features, Perses promises a […]View the full article -
ServiceNow today added a visualization tool to its Lightstep observability platform that will make it simpler for DevOps teams to correlate metrics, logs and traces. Ben Sigelman, general manager for Lightstep at ServiceNow, said Lightstep Notebooks will make it easier for DevOps teams to make sense of the massive amounts of data collected by the […] View the full article -
Today, we are making it faster and easier to prepare and visualize data using PySpark and Altair with support for code snippets in Amazon SageMaker Data Wrangler. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. With SageMaker Data Wrangler’s data selection tool, you can quickly select data from multiple data sources, such as Amazon S3, Amazon Athena, Amazon Redshift, AWS Lake Formation, Amazon SageMaker Feature Store, Databricks, and Snowflake. View the full article -
SageMaker Experiments now supports granular metrics and graphs to help you better understand results from training jobs performed on SageMaker. Amazon SageMaker Experiments is a capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments. With this launch, you can now view precision and recall (PR) curves, receiver operating characteristics (ROC curve), and confusion matrix. You can use these curves to understand false positives/negatives, and tradeoffs between performance and accuracy for a model trained on SageMaker. You can also better compare multiple training runs and identify the best model for your use-case. View the full article
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Amazon Elasticsearch Service now supports Gantt charts, a new visualization in Kibana. Users can now embed Gantt charts into dashboards to enable visualization of events, steps and tasks as horizontal bars. The length of the bars shows the amount of time associated with an event, step or a task. Gantt charts are used to represent a series of events that contain a parent-child relationship. This can be particularly useful in trace analytics, telemetry, and monitoring use cases, in which the users need to understand the overall interaction between traces or events. Gantt charts help users manage their resources by getting an overview of the events or tasks and understanding the relationships between them. View the full article
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