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• Observability is about understanding applications by looking at metrics, logs, and traces
• OpenTelemetry is a neutral approach to ship telemetry data
• The OpenTelemetry project includes a specification, API, SDK, data model, tools for generating traces, and a collector
• The OpenTelemetry collector can be run on Kubernetes or locally
• The tutorial covers manual and automatic instrumentation
• The OpenTelemetry operator can be used to integrate with Prometheus and get logs from nodes

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• Capacity planning requires up-to-date and fresh data, and aggregation at collection time to reduce scope.
• The project provides a tool for capacity planning that does not require knowledge of prompt URL.
• The metrics framework provides stability levels to prevent breaking changes and automation to prevent users from making breaking changes.
• Structured logging in JSON format is easier to query and analyze than text-based logging.
• Contextual logging allows for attaching context and data to log lines for better analysis and correlation with tracing.
• The structured logging working group is actively working on migrating the code base to structured and contextual logging.

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• 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.

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• The SIG Instrumentation group is responsible for maintaining and improving the stability and quality of metrics in Kubernetes.
• Observability is important in Kubernetes to identify and fix issues related to latency regression and other problems.
• The group is working on building an automated documentation to help users understand and use metrics more effectively.
• The group is also working on adding a beta stage to the stability framework to improve expressiveness.
• The group is actively seeking new contributors and offers various ways to contribute, including code reviews and documentation.
• The group maintains several sub-projects, including CubeSat Metrics, Metric Server, and Primitives Adapter, which are used for auto-scaling and adapting queries.
• The group also maintains the logging infrastructure in Kubernetes.

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• Metrics provide performance insights about an application
• Metrics allow for more detailed test assertions
• Metrics enable better control over test scenarios
• Metrics provide various extra data points about tests
• Different types of tests can be applied using metrics, including benchmark tests

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• SIG Instrumentation maintains the logging and metrics infrastructure of Kubernetes
• They review issues and PRs related to metrics and Kubernetes
• They are involved in features development and announcement related to observability
• They maintain projects such as CubeSat Metrics, Metric Server, and Primitives Adapter
• They are working on implementing structured logging to improve the quality of logging output
• They are deprecating command line options in k-log related to log file handling
• They aim to remove unnecessary code in Kubernetes

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• OpenTelemetry supports metric pipelines and has Prometheus support.
• The auto collector has receivers and exporters in Prometheus formats.
• OpenTelemetry is working on adding logging support.
• The API is still in draft, but the focus is on getting a specification for a strongly typed and machine-readable format for logs.
• OpenTelemetry has a new working group for client instrumentation.
• The OpenTelemetry collector supports the Prometheus format, and you can use Prometheus as a back-end.
• The future of OpenTelemetry includes making the operational side easier and adding more signals beyond logs, metrics, and tracing.

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• Instrumentation should be opt-in initially and mature over time with user feedback
• Performance impact should be considered and users should be mindful of costs
• Semantic conventions are critical for user experience and should be followed
• Context propagation is essential for distributed tracing and should be implemented in libraries and applications
• OpenTelemetry SDK provides solutions for instrumentation, semantic conventions, and context propagation

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• SIG Instrumentation is responsible for maintaining and improving observability in Kubernetes through metrics, logging, and auto-scaling
• Structured logging is being implemented to improve the logging infrastructure in Kubernetes
• Projects such as kube-state-metrics, metrics-server, and prometheus-adapter are being maintained to generate and expose metrics for Kubernetes objects
• Auto-scaling can be done based on any metric using projects such as prometheus-adapter
• SIG Instrumentation reviews new additions and changes related to metrics to ensure high quality
• Deprecated command line options related to log file handling will be removed in Kubernetes 1.26
• SIG Instrumentation also maintains the k-log implementation itself