Brewing Microservices

Christopher Meiklejohn

A podcast discussing everything cloud computing, serverless, microservices, and distributed systems that, each episode, starts with a discussion of a single academic paper and expands out to related academic research and industrial products and systems.

Выпуски

  1. 30.10.2022

    Serverless Redux: Halloween Edition

    We revisit serverless programming and the Nimbus paper by discussing the old timey computing that the state of serverless development reminds us of, as well as why all programming languages go through this experience as they grow, and what potential future directions for cloud computing might look like. Nimbus: Improving the Developer Experience for Serverless ApplicationsStop Writing Dead Programs (Strange Loop 2022)Punched Card (Wikipedia)Job Control Language (Wikipedia)IBM RPG (Wikipedia)Building Maintainable and Fault Tolerant MySQL Applications with Perl (Historical, Open Source Database Summit, Providence, RI, 2001)OpenTelemetryHoneycombLog4Shell (Wikipedia)Zelle (Payment System)Cloud Programming Simplified: A Berkeley View on Serverless ComputingServerless Computing: Design, Implementation, and PerformanceServerless Computing: One Step Forward, Two Steps BackUnison (programming language)Erlang (programming language)Durable Functions Toward Sustainable Serverless ComputingSustainability Efficiency Challenges of Modern IT Architectures - A Quality Model for Serverless Energy FootprintUnderstanding the Rust borrow checker How to remote debug Azure functionsXSLT (Wikipedia)Dataflow programming (Wikipedia)Hot code reloading with Erlang and rebar3Declarative programming (Wikipedia)DPL: A Language for GDPR EnforcementOTP Design PrinciplesHow To Avoid Cascading Failures in Distributed SystemsThe rr DebuggerIntroduction AMBROSIA: a new platform for reliable distributed applications without the hassleTime Travel DebuggingVirtual TimeDeterministic Replay: A SurveyOther notes: Chris got a new mic and wrote a theme song for the podcast so we aren't using a GarageBand loop anymore.

    1 ч. 9 мин.

  2. 21.10.2022

    Property-Based Testing

    QuickCheck: a lightweight tool for random testing of Haskell programs Soft Updates: A Technique for Eliminating Most Synchronous Writes in the Fast Filesystem Write ahead log Fuzzing: a survey SAGE: whitebox fuzzing for security testing Intelligent REST API data fuzzing A hybrid analysis to detect Java serialisation vulnerabilities Jsongen: a quickcheck based library for testing JSON web services Property-Based Testing of JSON Based Web Services Turning web services descriptions into quickcheck models for automatic testing Hypothesis Erlang QuickCheck Software Testing with QuickCheck John Hughes - Don't Write Tests John Hughes - QuickCheck Evolution John Hughes: Testing with QuickCheck John Hughes - Testing the Hard Stuff and Staying Sane John Hughes - How to specify it! A guide to writing properties of pure functions | Code Mesh LDN 19 Testing Eventual Consistency in Riak - YouTube PARTISAN: Scaling the Distributed Actor Runtime Dealing with a corrupt SSTable in Cassandra MODELING EVENTUAL CONSISTENCY DATABASES WITH QUICKCHECK Riak DT Applied Monotonicity: A Brief History of CRDTs in Riak Using temporal relations to specify and test an instant messaging server Effective Concurrency Testing for Distributed Systems Jepsen Clojure test.check PropER PULSE tutorial Finding race conditions in Erlang with QuickCheck and PULSE CORFU: A Shared Log Design for Flash Clusters CORFU: A distributed shared log

    2 ч. 1 мин.

  3. 14.10.2022

    Nimbus - Improving the Developer Experience for Serverless Applications

    Nimbus: Improving the Developer Experience for Serverless ApplicationsNimbus at ICSEICSE NIER CfPNimbus: Improving the Developer Experience for Serverless Applications [preprint]Nimbus: Improving the Developer Experience for Serverless Applications [video]Towards a Solution to the Red Wedding ProblemReactive Machine [GitHub]Durable functions: semantics for stateful serverlessNetherite: efficient execution of serverless workflowsFormal foundations of serverless computingA Language-based Serverless Function AcceleratorFirecracker: Lightweight Virtualization for Serverless ApplicationsServerless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud ProviderFaa$T: A Transparent Auto-Scaling Cache for Serverless ApplicationsPalette Load Balancing: Locality Hints for Serverless FunctionsCold Start in Serverless Computing: Current Trends and Mitigation StrategiesPrebaking Functions to Warm the Serverless Cold StartWLEC: A Not So Cold Architecture to Mitigate Cold Start Problem in Serverless Computing

    1 ч. 30 мин.
  • Выпусков: 3

Об этом подкасте

A podcast discussing everything cloud computing, serverless, microservices, and distributed systems that, each episode, starts with a discussion of a single academic paper and expands out to related academic research and industrial products and systems.

Информация

  • Автор
    Christopher Meiklejohn
  • Годы выхода
    2 тыс.
  • Выпуски
    3
  • Ограничения
    С ненормативной лексикой
  • Авторские права
    © 2022 Christopher Meiklejohn and David Justo
  • Сайт подкаста
    Brewing Microservices