Introduce Transaction Metrics On RPC-level

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Overview

In the pursuit of enhancing the user experience and providing a more comprehensive understanding of the reliability of a node, it is essential to introduce transaction metrics at the RPC-level. This approach allows for a more accurate representation of the user-level experience, as it takes into account transactions submitted via the RPC-level of the node. In this article, we will delve into the concept of introducing transaction metrics on RPC-level and explore its significance in the context of a node's reliability dashboard.

Background

The introduction of transaction metrics at the transaction pool level has been a significant development in the realm of node reliability. However, for other use-cases, such as a reliability dashboard, it would be beneficial to have metrics that only consider transactions submitted via the RPC-level of the node. This distinction is crucial, as it provides a more nuanced understanding of the user-level experience.

RPC-level Transaction Metrics

To achieve this, we need to focus on the timings between individual events defined in the RPC-spec. The RPC-spec provides a comprehensive outline of the events that occur during the submission and watching of transactions. By analyzing these events, we can derive valuable insights into the performance of the node and the user experience.

Key Events in the RPC-spec

The RPC-spec defines several key events that occur during the submission and watching of transactions. These events include:

  • submit: This event is triggered when a transaction is submitted to the node.
  • watch: This event is triggered when a transaction is watched by the node.
  • success: This event is triggered when a transaction is successfully executed.
  • failure: This event is triggered when a transaction fails to execute.

Metrics for RPC-level Transaction Metrics

To introduce transaction metrics on RPC-level, we need to define metrics that take into account the timings between these key events. Some potential metrics include:

  • submit-to-watch: This metric measures the time it takes for a transaction to be submitted and watched by the node.
  • watch-to-success: This metric measures the time it takes for a transaction to be watched and successfully executed.
  • submit-to-failure: This metric measures the time it takes for a transaction to be submitted and fail to execute.
  • failure-to-watch: This metric measures the time it takes for a transaction to fail to execute and be watched by the node.

Benefits of RPC-level Transaction Metrics

The introduction of transaction metrics on RPC-level offers several benefits, including:

  • Improved user experience: By providing a more accurate representation of the user-level experience, RPC-level transaction metrics can help improve the overall user experience.
  • Enhanced reliability dashboard: RPC-level transaction metrics can provide valuable insights into the performance of the node, enabling the creation of a more comprehensive reliability dashboard.
  • Better decision-making: By analyzing RPC-level transaction metrics, developers can make more informed decisions about the performance and reliability of their node.

Implementation

To implement RPC-level transaction metrics, we need to integrate the necessary code into the node's architecture. This may involve modifying the existing codebase to include the necessary metrics and event handlers Additionally, we need to ensure that the metrics are accurately calculated and stored for future analysis.

Conclusion

In conclusion, introducing transaction metrics on RPC-level is a crucial step in enhancing the user experience and providing a more comprehensive understanding of the reliability of a node. By analyzing the timings between individual events defined in the RPC-spec, we can derive valuable insights into the performance of the node and the user experience. The benefits of RPC-level transaction metrics are numerous, including improved user experience, enhanced reliability dashboard, and better decision-making. By implementing RPC-level transaction metrics, developers can create a more reliable and user-friendly node.

Future Work

Future work on RPC-level transaction metrics may involve:

  • Expanding the scope of metrics: To provide a more comprehensive understanding of the node's performance, we may need to expand the scope of metrics to include additional events and timings.
  • Improving the accuracy of metrics: To ensure that the metrics are accurately calculated and stored, we may need to improve the accuracy of the metrics by incorporating additional data and event handlers.
  • Integrating with existing tools: To provide a more seamless user experience, we may need to integrate RPC-level transaction metrics with existing tools and dashboards.

References

Q: What is the purpose of introducing transaction metrics on RPC-level?

A: The purpose of introducing transaction metrics on RPC-level is to provide a more accurate representation of the user-level experience and to enhance the reliability dashboard of a node. By analyzing the timings between individual events defined in the RPC-spec, we can derive valuable insights into the performance of the node and the user experience.

Q: What are the key events in the RPC-spec that are used to calculate transaction metrics?

A: The key events in the RPC-spec that are used to calculate transaction metrics include:

  • submit: This event is triggered when a transaction is submitted to the node.
  • watch: This event is triggered when a transaction is watched by the node.
  • success: This event is triggered when a transaction is successfully executed.
  • failure: This event is triggered when a transaction fails to execute.

Q: What are some potential metrics that can be calculated using the key events in the RPC-spec?

A: Some potential metrics that can be calculated using the key events in the RPC-spec include:

  • submit-to-watch: This metric measures the time it takes for a transaction to be submitted and watched by the node.
  • watch-to-success: This metric measures the time it takes for a transaction to be watched and successfully executed.
  • submit-to-failure: This metric measures the time it takes for a transaction to be submitted and fail to execute.
  • failure-to-watch: This metric measures the time it takes for a transaction to fail to execute and be watched by the node.

Q: What are the benefits of introducing transaction metrics on RPC-level?

A: The benefits of introducing transaction metrics on RPC-level include:

  • Improved user experience: By providing a more accurate representation of the user-level experience, RPC-level transaction metrics can help improve the overall user experience.
  • Enhanced reliability dashboard: RPC-level transaction metrics can provide valuable insights into the performance of the node, enabling the creation of a more comprehensive reliability dashboard.
  • Better decision-making: By analyzing RPC-level transaction metrics, developers can make more informed decisions about the performance and reliability of their node.

Q: How can RPC-level transaction metrics be implemented?

A: RPC-level transaction metrics can be implemented by integrating the necessary code into the node's architecture. This may involve modifying the existing codebase to include the necessary metrics and event handlers. Additionally, we need to ensure that the metrics are accurately calculated and stored for future analysis.

Q: What are some potential future work areas for RPC-level transaction metrics?

A: Some potential future work areas for RPC-level transaction metrics include:

  • Expanding the scope of metrics: To provide a more comprehensive understanding of the node's performance, we may need to expand the scope of metrics to include additional events and timings.
  • Improving the accuracy of metrics: To ensure that the metrics are accurately calculated and stored, we may need to improve the accuracy of the metrics by incorporating additional data and event handlers.
  • Integrating with existing tools: To provide a more seamless user experience, we may need to integrate RPC-level transaction metrics with existing tools and dashboards.

Q: Where can I find more information about the JSON-RPC Interface Spec?

A: You can find more information about the JSON-RPC Interface Spec on the Paritytech website at https://paritytech.github.io/json-rpc-interface-spec/api/transactionWatch_v1_submitAndWatch.html

Q: Where can I find more information about the Polkadot SDK?

A: You can find more information about the Polkadot SDK on the Polkadot SDK GitHub page at https://github.com/paritytech/polkadot-sdk/issues/7355