[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["This document provides a comprehensive overview of the `TimeseriesInsightsControllerLimitedErrorCountRetryPolicy` class for the Google Cloud C++ client library, specifically for Time Series Insights."],["The `TimeseriesInsightsControllerLimitedErrorCountRetryPolicy` class is designed to manage retries for RPCs based on the number of transient errors, halting retries after a certain number of failures or upon encountering a non-transient error."],["The class treats the `kUnavailable` status code as a transient error, and allows setting the `maximum_failures` during the construction of an instance, allowing for complete disabling of the retry policy if needed."],["The document details the class's constructors, functions (like `maximum_failures()`, `OnFailure()`, `IsExhausted()`, `IsPermanentFailure()`, and `clone()`), as well as a type alias (`BaseType`)."],["A variety of available versions of the `TimeseriesInsightsControllerLimitedErrorCountRetryPolicy` are listed, including the latest release candidate and prior versions back to 2.12.0, with version 2.29.0 being the current version that is featured."]]],[]]
