Torrent Info
Title Software Mistakes and Tradeoffs, Video Edition
Category
Size 2.22GB

Files List
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[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 384.27KB
001. Chapter 1. Introduction.mp4 29.69MB
002. Chapter 1. Code design patterns and why they do not always work.mp4 28.93MB
003. Chapter 1. Architecture design patterns and why they do not always work.mp4 26.87MB
004. Chapter 2. Code duplication is not always bad Code duplication vs. flexibility.mp4 23.55MB
005. Chapter 2. Libraries and sharing code between codebases.mp4 25.08MB
006. Chapter 2. Code extraction to a separate microservice.mp4 23.14MB
007. Chapter 2. Looking at the tradeoffs and disadvantages of a separate service.mp4 27.97MB
008. Chapter 2. Improving loose coupling by code duplication.mp4 18.07MB
009. Chapter 2. Looking at inheritance and tight coupling.mp4 27.67MB
010. Chapter 3. Exceptions vs. other patterns of handling errors in your code.mp4 30.91MB
011. Chapter 3. Best patterns to handle exceptions in the code that you own.mp4 22.27MB
012. Chapter 3. Anti-patterns in exception handling.mp4 20.09MB
013. Chapter 3. Exceptions from third-party libraries.mp4 19.39MB
014. Chapter 3. Exceptions in multithread environments.mp4 23.38MB
015. Chapter 3. Functional approach to handling errors with Try.mp4 21.14MB
016. Chapter 3. Using Try in production code.mp4 22.03MB
017. Chapter 3. Performance comparison of exception-handling code.mp4 22.00MB
018. Chapter 4. Balancing flexibility and complexity.mp4 24.54MB
019. Chapter 4. Allowing clients to provide their own metrics framework.mp4 22.53MB
020. Chapter 4. Guarding against unpredictable usage of the hooks API.mp4 27.16MB
021. Chapter 4. Providing extensibility of your APIs via listeners.mp4 17.90MB
022. Chapter 4. Flexibility analysis of an API vs. the cost of maintenance.mp4 17.30MB
023. Chapter 5. Premature optimization vs. optimizing the hot path Decisions that impact code performance.mp4 19.03MB
024. Chapter 5. Optimizing processing based on false assumptions.mp4 21.10MB
025. Chapter 5. Hot paths in your code.mp4 25.56MB
026. Chapter 5. A word service with a potential hot path.mp4 15.50MB
027. Chapter 5. Hot path detection in your code.mp4 24.44MB
028. Chapter 5. Improvements for hot path performance.mp4 23.80MB
029. Chapter 5. Optimizing word exists using a cache.mp4 23.68MB
030. Chapter 6. Simplicity vs. cost of maintenance for your API.mp4 29.17MB
031. Chapter 6. Directly exposing settings of a dependent library.mp4 27.33MB
032. Chapter 6. Adding new setting for the cloud client library.mp4 19.83MB
033. Chapter 6. Deprecatingremoving a setting in the cloud client library.mp4 34.02MB
034. Chapter 7. Working effectively with date and time data.mp4 15.71MB
035. Chapter 7. Machine time Instants, epochs, and durations.mp4 16.01MB
036. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 1.mp4 18.60MB
037. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 2.mp4 19.05MB
038. Chapter 7. Time zones, UTC, and offsets from UTC Part 1.mp4 17.31MB
039. Chapter 7. Time zones, UTC, and offsets from UTC Part 2.mp4 24.25MB
040. Chapter 7. Date and time concepts that hurt my head.mp4 17.15MB
041. Chapter 7. Preparing to work with date and time information.mp4 17.33MB
042. Chapter 7. Clarifying date and time requirements Part 1.mp4 19.82MB
043. Chapter 7. Clarifying date and time requirements Part 2.mp4 21.94MB
044. Chapter 7. Using the right libraries or packages.mp4 35.62MB
045. Chapter 7. Improving testability by avoiding defaults Part 1.mp4 20.46MB
046. Chapter 7. Improving testability by avoiding defaults Part 2.mp4 16.19MB
047. Chapter 7. Representing date and time values in text Part 1.mp4 28.05MB
048. Chapter 7. Representing date and time values in text Part 2.mp4 27.36MB
049. Chapter 7. Explaining code with comments.mp4 24.04MB
050. Chapter 7. Handling ambiguous or skipped times.mp4 25.10MB
051. Chapter 8. Working with evolving time zone data.mp4 26.68MB
052. Chapter 8. Leveraging data locality and memory of your machines.mp4 26.92MB
053. Chapter 8. Data partitioning and splitting data.mp4 18.19MB
054. Chapter 8. Partitioning vs. sharding.mp4 19.31MB
055. Chapter 8. Join big data sets from multiple partitions.mp4 30.88MB
056. Chapter 8. Data processing Memory vs. disk.mp4 17.86MB
057. Chapter 8. Calculating access times.mp4 19.48MB
058. Chapter 8. Implement joins using Apache Spark.mp4 28.15MB
059. Chapter 9. Third-party libraries Libraries you use become your code.mp4 34.70MB
060. Chapter 9. Concurrency models and scalability.mp4 29.67MB
061. Chapter 9. Testability.mp4 14.98MB
062. Chapter 9. Testing with fakes (test double) and mocks.mp4 29.58MB
063. Chapter 9. Dependencies of third-party libraries.mp4 21.17MB
064. Chapter 9. Choosing and maintaining third-party dependencies.mp4 26.62MB
065. Chapter 9. Security and updates.mp4 22.95MB
066. Chapter 10. Consistency and atomicity in distributed systems.mp4 22.72MB
067. Chapter 10. Producing data and idempotency.mp4 34.65MB
068. Chapter 10. A naive implementation of a deduplication library.mp4 13.91MB
069. Chapter 10. Common mistakes when implementing deduplication in distributed systems.mp4 31.20MB
070. Chapter 10. Making your logic atomic to prevent race conditions.mp4 30.22MB
071. Chapter 11. Delivery semantics in distributed systems.mp4 28.03MB
072. Chapter 11. Producer and consumer applications based on Apache Kafka.mp4 23.21MB
073. Chapter 11. The producer logic.mp4 23.18MB
074. Chapter 11. Consumer code and different delivery semantics.mp4 14.82MB
075. Chapter 11. Restarting from the earliest or latest offsets.mp4 24.29MB
076. Chapter 11. Leveraging delivery guarantees to provide fault tolerance.mp4 13.32MB
077. Chapter 12. Managing versioning and compatibility.mp4 25.79MB
078. Chapter 12. Semantic versioning.mp4 21.78MB
079. Chapter 12. Versioning for libraries.mp4 25.07MB
080. Chapter 12. Source, binary, and semantic compatibility Part 1.mp4 25.28MB
081. Chapter 12. Source, binary, and semantic compatibility Part 2.mp4 27.77MB
082. Chapter 12. Techniques for handling breaking changes.mp4 30.67MB
083. Chapter 12. Managing internal-only libraries.mp4 33.34MB
084. Chapter 12. Common versioning strategies Part 1.mp4 17.73MB
085. Chapter 12. Common versioning strategies Part 2.mp4 20.08MB
086. Chapter 12. Further versioning considerations.mp4 23.24MB
087. Chapter 12. Versioning for data storage.mp4 25.09MB
088. Chapter 12. Migrating data within a storage system.mp4 20.72MB
089. Chapter 12. Expecting the unexpected.mp4 24.85MB
090. Chapter 12. Separating API and storage representations.mp4 27.78MB
091. Chapter 13. Keeping up to date with trends vs. cost of maintenance of your code.mp4 13.86MB
092. Chapter 13. Do-it-yourself (DIY) dependency injection.mp4 25.99MB
093. Chapter 13. When to use reactive programming.mp4 17.23MB
094. Chapter 13. Using CompletableFuture.mp4 18.80MB
095. Chapter 13. When to use functional programming.mp4 30.39MB
096. Chapter 13. Using lazy vs. eager evaluation.mp4 18.63MB
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TutsNode.com.txt 63B
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