tldr - powered by Generative AI

• Metrics and Open Telemetry are used for observability and provide an API and SDK for instrumenting code and collecting telemetry data.
• The media provider is the API entry point for metrics, and meters and instruments are used to record measurements.
• Aggregation, temporality, and dimensions are important concepts in metrics.
• Async up down counters and gauges are two types of metric instruments that are used for different purposes.
• There is much more to learn about metrics and Open Telemetry, including customization options and different processors for transforming metrics data.
• The presentation provides references for further exploration and credits to the people who contributed to the content.

tldr - powered by Generative AI

• The migration involved over 130 services, 1500 dashboards, and more than 7000 alerts.
• The use of histograms instead of percentiles was a difficult change for engineers to adapt to.
• The instance label is a high cardinality label that needs to be pre-aggregated to reduce volume.
• PromptCare's aggregation gateway was used for some metrics, but push models were limited to special cases.
• Automating the monitoring onboarding process for teams is crucial.
• The migration was completed in one year, resulting in over 27,000 alerts and 2200 dashboards.
• Post-migration, DoorDash ingests over 15 million metrics per second and persists over 10 million metrics per second.

tldr - powered by Generative AI

• Sparse histograms are a new type of histogram that allows for efficient monitoring of metrics with high resolution and low memory usage.
• The implementation of sparse histograms in Prometheus and Grafana allows for efficient scraping and visualization of metrics.
• The use of sparse histograms can be applied to various types of metrics, including latency and memory usage.
• The implementation of sparse histograms is open source and available for use in the client golang library and Prometheus server.