March 2016 Summaries

AWS has partnered with Datadog to provide advanced monitoring capabilities to its Amazon RDS customers, expanding the integration between the two platforms. As a result of this collaboration, AWS asked Datadog to write an article recommending the company for use with Amazon RDS's enhanced metrics feature. The partnership aims to provide improved monitoring and support for users of the platform, allowing them to better ship and manage their applications. Instructions on sending enhanced metrics to Datadog are available on the official AWS blog, following a post written by Datadog in collaboration with AWS engineering.

Visualizing monitoring data is crucial for providing human-readable representations of system health and performance. This series explores four types of timeseries graphs: line graphs, stacked area graphs, bar graphs, and heatmaps. Each graph type has its strengths and weaknesses, and understanding when to use each one can help present actionable information from metrics more clearly. The ideal use cases for each graph type include tracking single metrics, summing complementary metrics, representing counts, and showing distribution over time. By choosing the right visualization, developers can gain a better understanding of their systems' performance and make data-driven decisions.