Back

Chapter 7 of the provided content includes a list of various resources, websites, papers, and articles that are related to the topics discussed in the previous chapters. Here is a detailed summary of each resource:

  1. https://twitter.com/davinbogan This is a link to a Twitter profile of someone named Davin Bogan. It is unclear what specific information or content is available on this profile.

  2. https://lethain.com/hosting-paper-reading-group/ The link leads to a website called “Lethain” that hosts a paper reading group. This group focuses on discussing and analyzing various academic papers related to technology, computer science, and engineering.

  3. https://en.m.wikipedia.org/wiki/Butler_Lampson This link directs to the Wikipedia page of Butler Lampson, a renowned American computer scientist. The page provides information about his background, contributions, and notable works in the field of computer science.

  4. https://12factor.net This is the website for “The Twelve-Factor App,” which is a methodology for building software-as-a-service (SaaS) applications. It provides best practices and guidelines for developing scalable and maintainable software.

  5. https://en.wikipedia.org/wiki/CAP_theorem The link leads to the Wikipedia page that explains the CAP theorem. The CAP theorem states that in a distributed computer system, it is impossible to simultaneously guarantee consistency, availability, and partition tolerance.

  6. https://www.semanticscholar.org/paper/Harvest%2C-Yield-and-Scalable-Tolerant-Systems-Fox-Brewer/50158bc1a8a67295ab7bce0550886a9859000dc2 This link is to a research paper titled “Harvest, Yield, and Scalable Tolerant Systems.” The paper discusses the design principles and challenges for building scalable and fault-tolerant systems.

  7. https://zipkin.io/ The link directs to the website of Zipkin, an open-source distributed tracing system. Zipkin helps developers monitor and troubleshoot complex distributed systems by providing insights into how requests propagate through different services.

  8. https://opentracing.io/ This is the website for OpenTracing, a vendor-neutral open standard for distributed tracing. OpenTracing provides a consistent API and instrumentation framework for tracing requests across different microservices.

  9. http://kafka.apache.org/ The link leads to the official website of Apache Kafka, a distributed streaming platform. Kafka is commonly used for building real-time data pipelines and streaming applications.

  10. http://catb.org/jargon/html/S/second-system-effect.html This link points to an entry in the Jargon File that explains the concept of the “second system effect.” The term refers to the tendency for a developer’s second system to be over-engineered and overly complex compared to the first system.

  11. https://www.jwz.org/doc/worse-is-better.html The link directs to an article written by Jamie Zawinski titled “Worse is Better.” The article argues that software systems that are simple, limited in scope, and implemented quickly tend to be more successful than complex and highly engineered ones.

  12. http://mesos.apache.org/ This is the official website of Apache Mesos, a distributed systems kernel that provides resource management and scheduling capabilities for running applications across clusters of machines.

  13. https://medium.com/netflix-techblog/prana-a-sidecar-for-your-netflix-paas-based-applications-and-services-258a5790a015 The link leads to a Medium article published by Netflix TechBlog that introduces “Prana,” a sidecar for Netflix’s PaaS-based applications and services. Prana is responsible for intercepting traffic and applying various policies and behaviors to the applications.

  14. https://github.com/etcd-io/etcd This link directs to the GitHub repository for etcd, a distributed key-value store that is often used as a reliable data store for coordinating distributed systems.

  15. https://www.influxdata.com/ This is the website of InfluxData, the company behind InfluxDB, an open-source time-series database that is commonly used for monitoring and analyzing large amounts of time-stamped data.

  16. https://zookeeper.apache.org/ The link leads to the official website of Apache ZooKeeper, a centralized service for maintaining configuration, synchronization, and naming services in distributed systems.

  17. https://en.m.wikipedia.org/wiki/TLA%2B This link directs to the Wikipedia page explaining TLA+, a formal specification language developed by Leslie Lamport. TLA+ is used for describing and analyzing distributed algorithms and systems.

  18. https://en.m.wikipedia.org/wiki/YubiKey This link leads to the Wikipedia page for YubiKey, a hardware authentication device that provides strong security for online accounts and services. YubiKey is commonly used for two-factor authentication.

  19. https://www.usenix.org/system/files/login/articles/login_dec14_02_ward.pdf This link is a PDF file of an article titled “Remembering Dennis Ritchie” by Brian W. Kernighan, published in the USENIX magazine “login.” The article pays tribute to Dennis Ritchie, the creator of the C programming language and co-creator of Unix.

  20. https://parasol.tamu.edu/pivot/ This is the website for the PARASOL (Parallel Software Laboratory) research group at Texas A&M University. The group focuses on research and development related to parallel and distributed systems.

  21. https://ai.google/research/pubs/pub41342 The link directs to a Google Research publication titled “Paxos Made Live: An Engineering Perspective.” The publication explains the implementation and optimization of the Paxos algorithm for distributed consensus.

Words: 717