Software Mistakes And Tradeoffs, Video Edition
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13:57:02
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001. Chapter 1. Introduction.mp4
11:48
002. Chapter 1. Code design patterns and why they do not always work.mp4
10:49
003. Chapter 1. Architecture design patterns and why they do not always work.mp4
09:39
004. Chapter 2. Code duplication is not always bad Code duplication vs. flexibility.mp4
08:41
005. Chapter 2. Libraries and sharing code between codebases.mp4
08:58
006. Chapter 2. Code extraction to a separate microservice.mp4
07:57
007. Chapter 2. Looking at the tradeoffs and disadvantages of a separate service.mp4
08:53
008. Chapter 2. Improving loose coupling by code duplication.mp4
07:44
009. Chapter 2. Looking at inheritance and tight coupling.mp4
09:40
010. Chapter 3. Exceptions vs. other patterns of handling errors in your code.mp4
11:24
011. Chapter 3. Best patterns to handle exceptions in the code that you own.mp4
08:16
012. Chapter 3. Anti-patterns in exception handling.mp4
08:26
013. Chapter 3. Exceptions from third-party libraries.mp4
06:38
014. Chapter 3. Exceptions in multithread environments.mp4
08:45
015. Chapter 3. Functional approach to handling errors with Try.mp4
07:46
016. Chapter 3. Using Try in production code.mp4
07:09
017. Chapter 3. Performance comparison of exception-handling code.mp4
07:41
018. Chapter 4. Balancing flexibility and complexity.mp4
09:11
019. Chapter 4. Allowing clients to provide their own metrics framework.mp4
08:33
020. Chapter 4. Guarding against unpredictable usage of the hooks API.mp4
09:53
021. Chapter 4. Providing extensibility of your APIs via listeners.mp4
07:56
022. Chapter 4. Flexibility analysis of an API vs. the cost of maintenance.mp4
05:33
023. Chapter 5. Premature optimization vs. optimizing the hot path Decisions that impact code performance.mp4
06:52
024. Chapter 5. Optimizing processing based on false assumptions.mp4
07:27
025. Chapter 5. Hot paths in your code.mp4
09:13
026. Chapter 5. A word service with a potential hot path.mp4
06:24
027. Chapter 5. Hot path detection in your code.mp4
11:05
028. Chapter 5. Improvements for hot path performance.mp4
09:19
029. Chapter 5. Optimizing word exists using a cache.mp4
09:08
030. Chapter 6. Simplicity vs. cost of maintenance for your API.mp4
12:33
031. Chapter 6. Directly exposing settings of a dependent library.mp4
10:21
032. Chapter 6. Adding new setting for the cloud client library.mp4
07:51
033. Chapter 6. Deprecatingremoving a setting in the cloud client library.mp4
11:56
034. Chapter 7. Working effectively with date and time data.mp4
06:34
035. Chapter 7. Machine time Instants, epochs, and durations.mp4
06:46
036. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 1.mp4
07:28
037. Chapter 7. Civil time Calendar systems, dates, times, and periods Part 2.mp4
07:28
038. Chapter 7. Time zones, UTC, and offsets from UTC Part 1.mp4
06:53
039. Chapter 7. Time zones, UTC, and offsets from UTC Part 2.mp4
08:34
040. Chapter 7. Date and time concepts that hurt my head.mp4
06:25
041. Chapter 7. Preparing to work with date and time information.mp4
05:44
042. Chapter 7. Clarifying date and time requirements Part 1.mp4
07:43
043. Chapter 7. Clarifying date and time requirements Part 2.mp4
07:22
044. Chapter 7. Using the right libraries or packages.mp4
11:46
045. Chapter 7. Improving testability by avoiding defaults Part 1.mp4
07:44
046. Chapter 7. Improving testability by avoiding defaults Part 2.mp4
05:54
047. Chapter 7. Representing date and time values in text Part 1.mp4
09:40
048. Chapter 7. Representing date and time values in text Part 2.mp4
09:32
049. Chapter 7. Explaining code with comments.mp4
08:17
050. Chapter 7. Handling ambiguous or skipped times.mp4
08:57
051. Chapter 8. Working with evolving time zone data.mp4
07:45
052. Chapter 8. Leveraging data locality and memory of your machines.mp4
09:38
053. Chapter 8. Data partitioning and splitting data.mp4
07:09
054. Chapter 8. Partitioning vs. sharding.mp4
08:22
055. Chapter 8. Join big data sets from multiple partitions.mp4
11:29
056. Chapter 8. Data processing Memory vs. disk.mp4
07:37
057. Chapter 8. Calculating access times.mp4
07:58
058. Chapter 8. Implement joins using Apache Spark.mp4
10:49
059. Chapter 9. Third-party libraries Libraries you use become your code.mp4
11:22
060. Chapter 9. Concurrency models and scalability.mp4
12:36
061. Chapter 9. Testability.mp4
06:00
062. Chapter 9. Testing with fakes (test double) and mocks.mp4
10:46
063. Chapter 9. Dependencies of third-party libraries.mp4
09:12
064. Chapter 9. Choosing and maintaining third-party dependencies.mp4
08:43
065. Chapter 9. Security and updates.mp4
07:09
066. Chapter 10. Consistency and atomicity in distributed systems.mp4
08:17
067. Chapter 10. Producing data and idempotency.mp4
11:23
068. Chapter 10. A naive implementation of a deduplication library.mp4
05:41
069. Chapter 10. Common mistakes when implementing deduplication in distributed systems.mp4
10:30
070. Chapter 10. Making your logic atomic to prevent race conditions.mp4
11:19
071. Chapter 11. Delivery semantics in distributed systems.mp4
10:00
072. Chapter 11. Producer and consumer applications based on Apache Kafka.mp4
08:58
073. Chapter 11. The producer logic.mp4
08:52
074. Chapter 11. Consumer code and different delivery semantics.mp4
06:08
075. Chapter 11. Restarting from the earliest or latest offsets.mp4
08:48
076. Chapter 11. Leveraging delivery guarantees to provide fault tolerance.mp4
05:22
077. Chapter 12. Managing versioning and compatibility.mp4
09:39
078. Chapter 12. Semantic versioning.mp4
09:27
079. Chapter 12. Versioning for libraries.mp4
10:55
080. Chapter 12. Source, binary, and semantic compatibility Part 1.mp4
10:17
081. Chapter 12. Source, binary, and semantic compatibility Part 2.mp4
10:37
082. Chapter 12. Techniques for handling breaking changes.mp4
11:32
083. Chapter 12. Managing internal-only libraries.mp4
11:30
084. Chapter 12. Common versioning strategies Part 1.mp4
06:45
085. Chapter 12. Common versioning strategies Part 2.mp4
06:48
086. Chapter 12. Further versioning considerations.mp4
07:42
087. Chapter 12. Versioning for data storage.mp4
08:40
088. Chapter 12. Migrating data within a storage system.mp4
07:42
089. Chapter 12. Expecting the unexpected.mp4
08:28
090. Chapter 12. Separating API and storage representations.mp4
10:33
091. Chapter 13. Keeping up to date with trends vs. cost of maintenance of your code.mp4
04:58
092. Chapter 13. Do-it-yourself (DIY) dependency injection.mp4
09:28
093. Chapter 13. When to use reactive programming.mp4
06:55
094. Chapter 13. Using CompletableFuture.mp4
07:10
095. Chapter 13. When to use functional programming.mp4
12:02
096. Chapter 13. Using lazy vs. eager evaluation.mp4
07:45
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- language english
- Training sessions 96
- duration 13:57:02
- Release Date 2023/11/06
