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Название Software Mistakes and Tradeoffs, Video Edition
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0 384.27Кб
001. Chapter 1. Introduction.mp4 29.69Мб
002. Chapter 1. Code design patterns and why they do not always work.mp4 28.93Мб
003. Chapter 1. Architecture design patterns and why they do not always work.mp4 26.87Мб
004. Chapter 2. Code duplication is not always bad Code duplication vs. flexibility.mp4 23.55Мб
005. Chapter 2. Libraries and sharing code between codebases.mp4 25.08Мб
006. Chapter 2. Code extraction to a separate microservice.mp4 23.14Мб
007. Chapter 2. Looking at the tradeoffs and disadvantages of a separate service.mp4 27.97Мб
008. Chapter 2. Improving loose coupling by code duplication.mp4 18.07Мб
009. Chapter 2. Looking at inheritance and tight coupling.mp4 27.67Мб
010. Chapter 3. Exceptions vs. other patterns of handling errors in your code.mp4 30.91Мб
011. Chapter 3. Best patterns to handle exceptions in the code that you own.mp4 22.27Мб
012. Chapter 3. Anti-patterns in exception handling.mp4 20.09Мб
013. Chapter 3. Exceptions from third-party libraries.mp4 19.39Мб
014. Chapter 3. Exceptions in multithread environments.mp4 23.38Мб
015. Chapter 3. Functional approach to handling errors with Try.mp4 21.14Мб
016. Chapter 3. Using Try in production code.mp4 22.03Мб
017. Chapter 3. Performance comparison of exception-handling code.mp4 22.00Мб
018. Chapter 4. Balancing flexibility and complexity.mp4 24.54Мб
019. Chapter 4. Allowing clients to provide their own metrics framework.mp4 22.53Мб
020. Chapter 4. Guarding against unpredictable usage of the hooks API.mp4 27.16Мб
021. Chapter 4. Providing extensibility of your APIs via listeners.mp4 17.90Мб
022. Chapter 4. Flexibility analysis of an API vs. the cost of maintenance.mp4 17.30Мб
023. Chapter 5. Premature optimization vs. optimizing the hot path Decisions that impact code performance.mp4 19.03Мб
024. Chapter 5. Optimizing processing based on false assumptions.mp4 21.10Мб
025. Chapter 5. Hot paths in your code.mp4 25.56Мб
026. Chapter 5. A word service with a potential hot path.mp4 15.50Мб
027. Chapter 5. Hot path detection in your code.mp4 24.44Мб
028. Chapter 5. Improvements for hot path performance.mp4 23.80Мб
029. Chapter 5. Optimizing word exists using a cache.mp4 23.68Мб
030. Chapter 6. Simplicity vs. cost of maintenance for your API.mp4 29.17Мб
031. Chapter 6. Directly exposing settings of a dependent library.mp4 27.33Мб
032. Chapter 6. Adding new setting for the cloud client library.mp4 19.83Мб
033. Chapter 6. Deprecatingremoving a setting in the cloud client library.mp4 34.02Мб
034. Chapter 7. Working effectively with date and time data.mp4 15.71Мб
035. Chapter 7. Machine time Instants, epochs, and durations.mp4 16.01Мб
036. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 1.mp4 18.60Мб
037. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 2.mp4 19.05Мб
038. Chapter 7. Time zones, UTC, and offsets from UTC Part 1.mp4 17.31Мб
039. Chapter 7. Time zones, UTC, and offsets from UTC Part 2.mp4 24.25Мб
040. Chapter 7. Date and time concepts that hurt my head.mp4 17.15Мб
041. Chapter 7. Preparing to work with date and time information.mp4 17.33Мб
042. Chapter 7. Clarifying date and time requirements Part 1.mp4 19.82Мб
043. Chapter 7. Clarifying date and time requirements Part 2.mp4 21.94Мб
044. Chapter 7. Using the right libraries or packages.mp4 35.62Мб
045. Chapter 7. Improving testability by avoiding defaults Part 1.mp4 20.46Мб
046. Chapter 7. Improving testability by avoiding defaults Part 2.mp4 16.19Мб
047. Chapter 7. Representing date and time values in text Part 1.mp4 28.05Мб
048. Chapter 7. Representing date and time values in text Part 2.mp4 27.36Мб
049. Chapter 7. Explaining code with comments.mp4 24.04Мб
050. Chapter 7. Handling ambiguous or skipped times.mp4 25.10Мб
051. Chapter 8. Working with evolving time zone data.mp4 26.68Мб
052. Chapter 8. Leveraging data locality and memory of your machines.mp4 26.92Мб
053. Chapter 8. Data partitioning and splitting data.mp4 18.19Мб
054. Chapter 8. Partitioning vs. sharding.mp4 19.31Мб
055. Chapter 8. Join big data sets from multiple partitions.mp4 30.88Мб
056. Chapter 8. Data processing Memory vs. disk.mp4 17.86Мб
057. Chapter 8. Calculating access times.mp4 19.48Мб
058. Chapter 8. Implement joins using Apache Spark.mp4 28.15Мб
059. Chapter 9. Third-party libraries Libraries you use become your code.mp4 34.70Мб
060. Chapter 9. Concurrency models and scalability.mp4 29.67Мб
061. Chapter 9. Testability.mp4 14.98Мб
062. Chapter 9. Testing with fakes (test double) and mocks.mp4 29.58Мб
063. Chapter 9. Dependencies of third-party libraries.mp4 21.17Мб
064. Chapter 9. Choosing and maintaining third-party dependencies.mp4 26.62Мб
065. Chapter 9. Security and updates.mp4 22.95Мб
066. Chapter 10. Consistency and atomicity in distributed systems.mp4 22.72Мб
067. Chapter 10. Producing data and idempotency.mp4 34.65Мб
068. Chapter 10. A naive implementation of a deduplication library.mp4 13.91Мб
069. Chapter 10. Common mistakes when implementing deduplication in distributed systems.mp4 31.20Мб
070. Chapter 10. Making your logic atomic to prevent race conditions.mp4 30.22Мб
071. Chapter 11. Delivery semantics in distributed systems.mp4 28.03Мб
072. Chapter 11. Producer and consumer applications based on Apache Kafka.mp4 23.21Мб
073. Chapter 11. The producer logic.mp4 23.18Мб
074. Chapter 11. Consumer code and different delivery semantics.mp4 14.82Мб
075. Chapter 11. Restarting from the earliest or latest offsets.mp4 24.29Мб
076. Chapter 11. Leveraging delivery guarantees to provide fault tolerance.mp4 13.32Мб
077. Chapter 12. Managing versioning and compatibility.mp4 25.79Мб
078. Chapter 12. Semantic versioning.mp4 21.78Мб
079. Chapter 12. Versioning for libraries.mp4 25.07Мб
080. Chapter 12. Source, binary, and semantic compatibility Part 1.mp4 25.28Мб
081. Chapter 12. Source, binary, and semantic compatibility Part 2.mp4 27.77Мб
082. Chapter 12. Techniques for handling breaking changes.mp4 30.67Мб
083. Chapter 12. Managing internal-only libraries.mp4 33.34Мб
084. Chapter 12. Common versioning strategies Part 1.mp4 17.73Мб
085. Chapter 12. Common versioning strategies Part 2.mp4 20.08Мб
086. Chapter 12. Further versioning considerations.mp4 23.24Мб
087. Chapter 12. Versioning for data storage.mp4 25.09Мб
088. Chapter 12. Migrating data within a storage system.mp4 20.72Мб
089. Chapter 12. Expecting the unexpected.mp4 24.85Мб
090. Chapter 12. Separating API and storage representations.mp4 27.78Мб
091. Chapter 13. Keeping up to date with trends vs. cost of maintenance of your code.mp4 13.86Мб
092. Chapter 13. Do-it-yourself (DIY) dependency injection.mp4 25.99Мб
093. Chapter 13. When to use reactive programming.mp4 17.23Мб
094. Chapter 13. Using CompletableFuture.mp4 18.80Мб
095. Chapter 13. When to use functional programming.mp4 30.39Мб
096. Chapter 13. Using lazy vs. eager evaluation.mp4 18.63Мб
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