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LICENSE	https://github.com/DataQuery/testing-distributed-systems/blob/master/LICENSE
README.md	https://github.com/DataQuery/testing-distributed-systems/blob/master/README.md
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_config.yml	https://github.com/DataQuery/testing-distributed-systems/blob/master/_config.yml
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README	https://github.com/DataQuery/testing-distributed-systems
CC0-1.0 license	https://github.com/DataQuery/testing-distributed-systems
@asatarin	https://twitter.com/asatarin
Overview of testing approaches	https://github.com/DataQuery/testing-distributed-systems#overview-of-testing-approaches
Research Papers	https://github.com/DataQuery/testing-distributed-systems#research-papers
Resilience In Complex Adaptive Systems	https://github.com/DataQuery/testing-distributed-systems#resilience-in-complex-adaptive-systems
Jepsen	https://github.com/DataQuery/testing-distributed-systems#jepsen
Formal Methods	https://github.com/DataQuery/testing-distributed-systems#formal-methods
Lineage-driven Fault Injection	https://github.com/DataQuery/testing-distributed-systems#lineage-driven-fault-injection
Chaos Engineering	https://github.com/DataQuery/testing-distributed-systems#chaos-engineering
Fuzzing	https://github.com/DataQuery/testing-distributed-systems#fuzzing
Game Days	https://github.com/DataQuery/testing-distributed-systems#game-days
Performance and Benchmarking	https://github.com/DataQuery/testing-distributed-systems#performance-and-benchmarking
Test Case Reduction	https://github.com/DataQuery/testing-distributed-systems#test-case-reduction
Misc	https://github.com/DataQuery/testing-distributed-systems#misc
Specific approaches in different distributed systems	https://github.com/DataQuery/testing-distributed-systems#specific-approaches-in-different-distributed-systems
Amazon Web Services	https://github.com/DataQuery/testing-distributed-systems#amazon-web-services
Netflix	https://github.com/DataQuery/testing-distributed-systems#netflix
Twitter	https://github.com/DataQuery/testing-distributed-systems#twitter
Datastax (Cassandra)	https://github.com/DataQuery/testing-distributed-systems#datastax-cassandra
ScyllaDB	https://github.com/DataQuery/testing-distributed-systems#scylladb
VoltDB	https://github.com/DataQuery/testing-distributed-systems#voltdb
MemSQL	https://github.com/DataQuery/testing-distributed-systems#memsql
CockroachLabs (CockroachDB)	https://github.com/DataQuery/testing-distributed-systems#cockroachlabs-cockroachdb
PingCap (TiDB)	https://github.com/DataQuery/testing-distributed-systems#pingcap-tidb
MongoDB	https://github.com/DataQuery/testing-distributed-systems#mongodb
Cloudera	https://github.com/DataQuery/testing-distributed-systems#cloudera
FoundationDB	https://github.com/DataQuery/testing-distributed-systems#foundationdb
Wallaroo Labs	https://github.com/DataQuery/testing-distributed-systems#wallaroo-labs
Google	https://github.com/DataQuery/testing-distributed-systems#google
Microsoft	https://github.com/DataQuery/testing-distributed-systems#microsoft
Dropbox	https://github.com/DataQuery/testing-distributed-systems#dropbox
Atomix Copycat	https://github.com/DataQuery/testing-distributed-systems#atomix-copycat
Onyx	https://github.com/DataQuery/testing-distributed-systems#onyx
LinkedIn	https://github.com/DataQuery/testing-distributed-systems#linkedin
Druid.io	https://github.com/DataQuery/testing-distributed-systems#druidio
Salesforce	https://github.com/DataQuery/testing-distributed-systems#salesforce
SQLite	https://github.com/DataQuery/testing-distributed-systems#sqlite
InfluxDB	https://github.com/DataQuery/testing-distributed-systems#influxdb
Shopify	https://github.com/DataQuery/testing-distributed-systems#shopify
Confluent (Kafka)	https://github.com/DataQuery/testing-distributed-systems#confluent-kafka
Elastic (Elastic Search)	https://github.com/DataQuery/testing-distributed-systems#elastic-elastic-search
YugaByte DB	https://github.com/DataQuery/testing-distributed-systems#yugabyte-db
FaunaDB	https://github.com/DataQuery/testing-distributed-systems#faunadb
Hazelcast	https://github.com/DataQuery/testing-distributed-systems#hazelcast
Basho (Riak)	https://github.com/DataQuery/testing-distributed-systems#basho-riak
CoreOS (etcd)	https://github.com/DataQuery/testing-distributed-systems#coreos-etcd
Tools	https://github.com/DataQuery/testing-distributed-systems#tools
Network Simulation	https://github.com/DataQuery/testing-distributed-systems#network-simulation
QuickCheck	https://github.com/DataQuery/testing-distributed-systems#quickcheck
Benchmarking	https://github.com/DataQuery/testing-distributed-systems#benchmarking
Linkbench	https://github.com/DataQuery/testing-distributed-systems#linkbench
YCSB	https://github.com/DataQuery/testing-distributed-systems#ycsb
	https://github.com/DataQuery/testing-distributed-systems#overview-of-testing-approaches
	https://github.com/DataQuery/testing-distributed-systems#research-papers
Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems	https://www.usenix.org/conference/osdi14/technical-sessions/presentation/yuan
What Bugs Live in the Cloud? A Study of 3000+ Issues in Cloud Systems	http://ucare.cs.uchicago.edu/pdf/socc14-cbs.pdf
TaxDC: A Taxonomy of Non-Deterministic Concurrency Bugs in Datacenter Distributed Systems	http://ucare.cs.uchicago.edu/pdf/asplos16-TaxDC.pdf
An Empirical Study on Crash Recovery Bugs in Large-Scale Distributed Systems	http://www.tcse.cn/~gaoyu15/paper/2018-fse-creb.pdf
Murat Demirbas	https://twitter.com/muratdemirbas
his blog	http://muratbuffalo.blogspot.com/2019/01/paper-review-empirical-study-on-crash.html
Redundancy does not imply fault tolerance: analysis of distributed storage reactions to single errors and corruptions	https://blog.acolyer.org/2017/03/08/redundancy-does-not-imply-fault-tolerance-analysis-of-distributed-storage-reactions-to-single-errors-and-corruptions/
An empirical study on the correctness of formally verified distributed systems	https://blog.acolyer.org/2017/05/29/an-empirical-study-on-the-correctness-of-formally-verified-distributed-systems/
The Case for Limping-Hardware Tolerant Clouds	https://www.usenix.org/node/174577
Distributed systems: when limping hardware is worse than dead hardware	https://danluu.com/limplock/
Early detection of configuration errors to reduce failure damage	https://blog.acolyer.org/2016/11/29/early-detection-of-configuration-errors-to-reduce-failure-damage/
Why Is Random Testing Effective for Partition Tolerance Bugs?	https://people.mpi-sws.org/~fniksic/popl2018/paper.pdf
Jepsen	https://github.com/DataQuery/testing-distributed-systems#jepsen
"The Morning Paper" review	https://blog.acolyer.org/2018/01/23/why-is-random-testing-effective-for-partition-tolerance-bugs/
FlyMC: Highly Scalable Testing of Complex Interleavings in Distributed Systems	https://ucare.cs.uchicago.edu/pdf/eurosys19-flyMC.pdf
What bugs cause cloud production incidents?	https://blog.acolyer.org/2019/06/21/what-bugs-cause-cloud-production-incidents/
Microsoft	https://github.com/DataQuery/testing-distributed-systems#microsoft
Torturing Databases for Fun and Profit	https://www.usenix.org/system/files/conference/osdi14/osdi14-paper-zheng_mai.pdf
additional material	https://www.usenix.org/node/186197
	https://github.com/DataQuery/testing-distributed-systems#technologies-for-testing-distributed-systems-by-colin-scott
Technologies for Testing Distributed Systems, Part I	http://colin-scott.github.io/blog/2016/03/04/technologies-for-testing-and-debugging-distributed-systems/
Distributed Systems Testing: The Lost World	http://tagide.com/blog/research/distributed-systems-testing-the-lost-world/
	https://github.com/DataQuery/testing-distributed-systems#testing-in-a-distributed-world-by-ines-sombra-ricon-2014
available on Archive	https://archive.org/details/youtube_UCWEm1sjdZrdd2_n4wGRw5fw/RICON+2014+-+Ines+Sombra%2C+Fastly+-+Testing+in+a+Distributed+World-KSdNYi55kjg.webm
this Github repo	https://github.com/Randommood/RICON2014
	https://github.com/DataQuery/testing-distributed-systems#resilience-in-complex-adaptive-systems
Velocity NY 2013: Richard Cook, "Resilience In Complex Adaptive Systems"	https://youtu.be/PGLYEDpNu60
Velocity 2012: Richard Cook, "How Complex Systems Fail"	https://youtu.be/2S0k12uZR14
How Complex Systems Fail	http://web.mit.edu/2.75/resources/random/How%20Complex%20Systems%20Fail.pdf
	https://github.com/DataQuery/testing-distributed-systems#jepsen
Jepsen Analyses	http://jepsen.io/analyses
Jepsen Talks	http://jepsen.io/talks
Aphyr's Jepsen posts	https://aphyr.com/tags/Jepsen
Jepsen Talks on Github	https://github.com/aphyr/jepsen-talks
Kyle Kingsbury on InfoQ	http://www.infoq.com/author/Kyle-Kingsbury
Call me maybe: Jepsen and flaky networks	http://www.slideshare.net/shalinmangar/call-me-maybe-jepsen-and-flaky-networks
Jepsen is used by Microsoft CosmosDB	https://twitter.com/dharmashukla/status/869104163510034432
Jepsen: CockroachDB beta-20160829	https://jepsen.io/analyses/cockroachdb-beta-20160829
Jepsen: VoltDB 6.3	http://jepsen.io/analyses/voltdb-6-3
Jepsen: RethinkDB 2.2.3 reconfiguration	https://aphyr.com/posts/330-jepsen-rethinkdb-2-2-3-reconfiguration
Jepsen: RethinkDB 2.1.5	https://aphyr.com/posts/329-jepsen-rethinkdb-2-1-5
CockroachDB	https://github.com/DataQuery/testing-distributed-systems#cockroachlabs-cockroachdb
VoltDB	https://github.com/DataQuery/testing-distributed-systems#voltdb
Cassandra	https://github.com/DataQuery/testing-distributed-systems#datastax-cassandra
ScyllaDB	https://github.com/DataQuery/testing-distributed-systems#scylladb
	https://github.com/DataQuery/testing-distributed-systems#formal-methods
The verification of a distributed system By Caitie McCaffrey	http://queue.acm.org/detail.cfm?id=2889274
podcast	https://www.infoq.com/articles/podcast-caitie-mccaffrey
talk	https://www.infoq.com/presentations/distributed-systems-verification
accompanying materials	https://github.com/CaitieM20/Talks/tree/master/TheVerificationOfADistributedSystem
slidedeck	https://speakerdeck.com/caitiem20/qcon-newyork-2016-the-verification-of-a-distributed-system
Designing Distributed Systems in TLA+	https://www.hillelwayne.com/talks/distributed-systems-tlaplus/
Everything about distributed systems is terrible	https://youtu.be/tfnldxWlOhM
Comparisons of Alloy and Spin	http://www2.research.att.com/~pamela/model.html
Verdi: Formally Verifying Distributed Systems	http://verdi.uwplse.org/
Verdi — A framework for formally verifying distributed systems implementations in Coq	https://github.com/uwplse/verdi
Network Semantics for Verifying Distributed Systems	https://homes.cs.washington.edu/~jrw12/network-semantics.html
Proving that Android’s, Java’s and Python’s sorting algorithm is broken (and showing how to fix it)	http://envisage-project.eu/proving-android-java-and-python-sorting-algorithm-is-broken-and-how-to-fix-it/
Proving JDK’s Dual Pivot Quicksort Correct	https://www.key-project.org/2017/08/17/dual-pivot/
Amazon Web Services	https://github.com/DataQuery/testing-distributed-systems#amazon-web-services
PingCap for TiDB	https://github.com/DataQuery/testing-distributed-systems#pingcap-tidb
MongoDB	https://github.com/DataQuery/testing-distributed-systems#mongodb
Microsoft	https://github.com/DataQuery/testing-distributed-systems#microsoft
Confluent	https://github.com/DataQuery/testing-distributed-systems#confluent-kafka
	https://github.com/DataQuery/testing-distributed-systems#lineage-driven-fault-injection
Lineage-driven Fault Injection	https://dl.acm.org/citation.cfm?id=2723711
Abstracting the Geniuses Away from Failure Testing	http://queue.acm.org/detail.cfm?id=3155114
Netflix	https://github.com/DataQuery/testing-distributed-systems#netflix
	https://github.com/DataQuery/testing-distributed-systems#chaos-engineering
Principles of Chaos Engineering	http://principlesofchaos.org/
Chaos Engineering	http://www.oreilly.com/webops-perf/free/chaos-engineering.csp
Netflix	https://github.com/DataQuery/testing-distributed-systems#netflix
A curated list of awesome Chaos Engineering resources	https://github.com/dastergon/awesome-chaos-engineering
Netflix	https://github.com/DataQuery/testing-distributed-systems#netflix
	https://github.com/DataQuery/testing-distributed-systems#fuzzing
Fuzzing Raft for Fun and Publication	https://colin-scott.github.io/blog/2015/10/07/fuzzing-raft-for-fun-and-profit/
Combining AFL and QuickCheck for Directed Fuzzing by Dan Luu	http://danluu.com/testing/
DNS parser, meet Go fuzzer	https://blog.cloudflare.com/dns-parser-meet-go-fuzzer/
Fuzz Testing with afl-fuzz (American Fuzzy Loop)	http://spin.atomicobject.com/2015/08/23/fuzz-testing-american-fuzzy-lop/
Randomized testing for Go	https://github.com/dvyukov/go-fuzz
GopherCon 2015: Dmitry Vyukov — Go Dynamic Tools	https://www.youtube.com/watch?v=a9xrxRsIbSU
Simple guided fuzzing for libraries using LLVM's new libFuzzer	http://blog.llvm.org/2015/04/fuzz-all-clangs.html
LibFuzzer – a library for coverage-guided fuzz testing	http://llvm.org/docs/LibFuzzer.html
How Heartbleed could've been found	https://blog.hboeck.de/archives/868-How-Heartbleed-couldve-been-found.html
	https://github.com/DataQuery/testing-distributed-systems#game-days
Game Day Exercises at Stripe: Learning from kill -9	https://stripe.com/blog/game-day-exercises-at-stripe
Sometimes Kill -9 Isn’t Enough	http://bravenewgeek.com/sometimes-kill-9-isnt-enough/
	https://github.com/DataQuery/testing-distributed-systems#performance-and-benchmarking
Your Load Generator Is Probably Lying To You	http://highscalability.com/blog/2015/10/5/your-load-generator-is-probably-lying-to-you-take-the-red-pi.html
Everything You Know About Latency Is Wrong	http://bravenewgeek.com/everything-you-know-about-latency-is-wrong/
"How NOT to Measure Latency" by Gil Tene	https://www.youtube.com/watch?v=lJ8ydIuPFeU
"Benchmarking: You're Doing It Wrong" by Aysylu Greenberg	https://www.youtube.com/watch?v=XmImGiVuJno
Performance Analysis Methodology	http://www.brendangregg.com/methodology.html
benchmarking	https://github.com/DataQuery/testing-distributed-systems#benchmarking
	https://github.com/DataQuery/testing-distributed-systems#test-case-reduction
Minimizing Faulty Executions of Distributed Systems	https://people.eecs.berkeley.edu/~rcs/research/nsdi16.pdf
here	https://www.microsoft.com/en-us/research/video/minimizing-faulty-executions-distributed-systems/
Troubleshooting Blackbox SDN Control Software with Minimal Causal Sequences	https://people.eecs.berkeley.edu/~rcs/research/sts.pdf
Concurrency Debugging with Differential Schedule Projections	https://brandonlucia.com/pubs/symbiosis_final_pldi.pdf
	https://github.com/DataQuery/testing-distributed-systems#misc
"Simulation Testing" by Michael Nygard	https://youtu.be/N5HyVUPuU0E
Testing Distributed Systems for Linearizability	http://www.anishathalye.com/2017/06/04/testing-distributed-systems-for-linearizability/
	https://github.com/DataQuery/testing-distributed-systems#specific-approaches-in-different-distributed-systems
	https://github.com/DataQuery/testing-distributed-systems#amazon-web-services
The Evolution of Testing Methodology at AWS: From Status Quo to Formal Methods with TLA+	http://www.infoq.com/presentations/aws-testing-tla
Use of Formal Methods at Amazon Web Services	http://research.microsoft.com/en-us/um/people/lamport/tla/formal-methods-amazon.pdf
CACM Article "How Amazon Web Services Uses Formal Methods"	http://cacm.acm.org/magazines/2015/4/184701-how-amazon-web-services-uses-formal-methods/fulltext
Experience of software engineers using TLA+, PlusCal and TLC	http://tla2012.loria.fr/contributed/newcombe-slides.pdf
Debugging Designs by Chris Newcombie	http://www.hpts.ws/papers/2011/sessions_2011/Debugging.pdf
source bundle	http://www.hpts.ws/papers/2011/sessions_2011/amazonbundle.tar.gz
formal methods	https://github.com/DataQuery/testing-distributed-systems#formal-methods
	https://github.com/DataQuery/testing-distributed-systems#netflix
Lineage-driven Fault Injection	https://github.com/DataQuery/testing-distributed-systems#lineage-driven-fault-injection
Monkeys in Lab Coats: Applying Failure Testing Research @Netflix	http://www.infoq.com/presentations/failure-test-research-netflix
“Monkeys in Labs Coats”: Applied Failure Testing Research at Netflix	http://www.infoq.com/news/2016/03/failure-testing-netflix
Automated Failure Testing	http://techblog.netflix.com/2016/01/automated-failure-testing.html
Automating Failure Testing Research at Internet Scale	https://scholar.google.ru/scholar?hl=en&q=Automating+Failure+Testing+Research+at+Internet+Scale&btnG=&as_sdt=1%2C5&as_sdtp=
Netflix Simian Army	http://techblog.netflix.com/2011/07/netflix-simian-army.html
Failure Injection Testing	http://techblog.netflix.com/2014/10/fit-failure-injection-testing.html
From Chaos to Control — Testing the resiliency of Netflix’s Content Discovery Platform	http://techblog.netflix.com/2015/08/from-chaos-to-control-testing.html
Breaking Bad at Netflix: Building Failure as a Service	http://www.infoq.com/presentations/failure-as-a-service-netflix
GTAC 2014: I Don't Test Often ... But When I Do, I Test in Production	https://www.youtube.com/watch?v=xkP70Zhhix4
Chaos Engineering	https://github.com/DataQuery/testing-distributed-systems#chaos-engineering
	https://github.com/DataQuery/testing-distributed-systems#twitter
Diffy: Testing services without writing tests	https://blog.twitter.com/2015/diffy-testing-services-without-writing-tests
How we break things at Twitter: failure testing	https://blog.twitter.com/2015/how-we-break-things-at-twitter-failure-testing
	https://github.com/DataQuery/testing-distributed-systems#datastax-cassandra
Testing Apache Cassandra with Jepsen	http://www.datastax.com/dev/blog/testing-apache-cassandra-with-jepsen
Testing Cassandra Guarantees under Diverse Failure Modes with Jepsen	http://www.slideshare.net/jkni/testing-cassandra-guarantees-under-diverse-failure-modes-with-jepsen-53168992
Testing Cassandra Guarantees under Diverse Failure Modes with Jepsen	http://cassandrasummit-datastax.com/agenda/testing-cassandra-guarantees-under-diverse-failure-modes-with-jepsen/
Jepsen Cassandra Testing on Git	https://github.com/riptano/jepsen
Netflix A STATE OF XEN — CHAOS MONKEY & CASSANDRA	https://vimeopro.com/user35188327/cassandra-summit-2015/video/140949186
Testing Apache Cassandra with Jepsen: How to Understand and Produce Safe Distributed Systems	https://youtu.be/OnG1FCr5WTI
Testing Apache Cassandra 4.0	https://cassandra.apache.org/blog/2018/08/21/testing_apache_cassandra.html
	https://github.com/DataQuery/testing-distributed-systems#scylladb
Scylla testing part 1: Cassandra compatibility testing	http://www.scylladb.com/2016/02/04/cassandra-compatibility-testing/
Scylla testing part 2: Extending Jepsen for testing Scylla	http://www.scylladb.com/2016/02/11/jepsen-testing/
CharybdeFS: a new fault-injecting filesystem for software testing	http://www.scylladb.com/2016/02/16/fault-injection-filesystem-software-testing/
Testing part 4: Distributed tests	http://www.scylladb.com/2016/03/10/dtest-scylla/
Testing part 5: Longevity testing	http://www.scylladb.com/2016/03/15/longevity-testing-scylla/
Fault-injecting filesystem cookbook	http://www.scylladb.com/2016/05/02/fault-injection-filesystem-cookbook/
How We Constantly Try to Bring Scylla to its Knees	https://youtu.be/K38RDEdt070
slides	https://www.slideshare.net/ScyllaDB/scylla-summit-2017-cry-in-the-dojo-laugh-in-the-battlefield-how-we-constantly-try-to-bring-scylla-to-its-knees
	https://github.com/DataQuery/testing-distributed-systems#voltdb
How We Test at VoltDB	https://www.voltdb.com/blog/2015/09/30/how-we-test-at-voltdb/
Testing at VoltDB: SQLCoverage	https://www.voltdb.com/blog/2016/03/30/testing-voltdb-sqlcoverage/
Testing VoltDB Against PostgreSQL	https://www.voltdb.com/blog/2016/04/11/testing-voltdb-postgresql/
VoltDB 6.4 Passes Official Jepsen Testing	https://www.voltdb.com/blog/2016/07/12/voltdb-6-4-passes-official-jepsen-testing/
Jepsen	https://github.com/DataQuery/testing-distributed-systems#jepsen
"All In With Determinism for Performance and Testing in Distributed Systems" by John Hugg	https://www.youtube.com/watch?v=gJRj3vJL4wE
Hugg-DeterministicDistributedSystems.pdf	https://github.com/strangeloop/StrangeLoop2015/blob/master/slides/talks/Hugg-DeterministicDistributedSystems.pdf
SelfCheck workload	https://github.com/VoltDB/voltdb/tree/master/tests/test_apps/txnid-selfcheck2
TPC-C implementation	https://github.com/VoltDB/voltdb/tree/master/tests/test_apps/tpcc
	https://github.com/DataQuery/testing-distributed-systems#memsql
Running MemSQL’s 107 Node Test Infrastructure on CoreOS	http://blog.memsql.com/running-memsqls-107-node-test-infrastructure-on-coreos/
Practical Techniques to Achieve Quality in Large Software Projects	http://blog.memsql.com/practical-techniques-to-achieve-quality-in-large-software-projects-3/
How to Make a Believable Benchmark	http://blog.memsql.com/how-to-make-a-believable-benchmark/
Building an Infinitely Scalable Testing System	http://blog.memsql.com/building-an-infinitely-scalable-testing-system/
	https://github.com/DataQuery/testing-distributed-systems#cockroachlabs-cockroachdb
DIY Jepsen Testing CockroachDB	https://www.cockroachlabs.com/blog/diy-jepsen-testing-cockroachdb/
CockroachDB Beta Passes Jepsen Testing	https://www.cockroachlabs.com/blog/cockroachdb-beta-passes-jepsen-testing/
	https://github.com/DataQuery/testing-distributed-systems#pingcap-tidb
Use Chaos to test the distributed system linearizability	https://medium.com/@siddontang/use-chaos-to-test-the-distributed-system-linearizability-4e0e778dfc7d
A test framework for linearizability check with Go	https://github.com/siddontang/chaos
Testing Distributed Systems for Linearizability	http://www.anishathalye.com/2017/06/04/testing-distributed-systems-for-linearizability/
Chaos Tools and Techniques for Testing the TiDB Distributed NewSQL Database	https://thenewstack.io/chaos-tools-and-techniques-for-testing-the-tidb-distributed-newsql-database/
blog	https://pingcap.com/blog/chaos-practice-in-tidb/
Official Jepsen report on TiDB 2.1.7	https://jepsen.io/analyses/tidb-2.1.7
companion blog post	https://pingcap.com/blog/tidb-passes-jepsen-test-for-snapshot-isolation-and-single-key-linearizability/
Safety First! Common Safety Pitfalls in Distributed Databases Found by Jepsen Tests	https://pingcap.com/blog/safety-first-common-safety-pitfalls-in-distributed-databases-found-by-jepsen-tests/
https://github.com/pingcap/tla-plus	https://github.com/pingcap/tla-plus
formal methods	https://github.com/DataQuery/testing-distributed-systems#formal-methods
	https://github.com/DataQuery/testing-distributed-systems#mongodb
MongoDB’s JavaScript Fuzzer: Creating Chaos (1/2)	https://engineering.mongodb.com/post/mongodbs-javascript-fuzzer-creating-chaos/
MongoDB’s JavaScript Fuzzer: Harnessing the Havoc (2/2)	https://engineering.mongodb.com/post/mongodbs-javascript-fuzzer-harnessing-havoc/
Fixing a MongoDB Replication Protocol Bug with TLA+	https://youtu.be/x9zSynTfLDE
formal verification	https://github.com/DataQuery/testing-distributed-systems#formal-methods
formal methods	https://github.com/DataQuery/testing-distributed-systems#formal-methods
	https://github.com/DataQuery/testing-distributed-systems#cloudera
Quality Assurance at Cloudera: Fault Injection and Elastic Partitioning	http://blog.cloudera.com/blog/2016/04/quality-assurance-at-cloudera-fault-injection-and-elastic-partitioning/
Quality Assurance at Cloudera: Highly-Controlled Disk Injection	http://blog.cloudera.com/blog/2016/08/quality-assurance-at-cloudera-highly-controlled-disk-injection/
	https://github.com/DataQuery/testing-distributed-systems#foundationdb
"Testing Distributed Systems w/ Deterministic Simulation" by Will Wilson	https://www.youtube.com/watch?v=4fFDFbi3toc&feature=youtu.be
	https://github.com/DataQuery/testing-distributed-systems#wallaroo-labs
Measuring Correctness of State in a Distributed System	https://blog.wallaroolabs.com/2017/10/measuring-correctness-of-state-in-a-distributed-system/
Performance testing a low-latency stream processing system	https://blog.wallaroolabs.com/2018/03/performance-testing-a-low-latency-stream-processing-system/
How We Test the Stateful Autoscaling of Our Stream Processing System	https://blog.wallaroolabs.com/2018/03/how-we-test-the-stateful-autoscaling-of-our-stream-processing-system/
posts on testing	https://blog.wallaroolabs.com/categories/testing/
Materials on Sean's blog "CodeMeshIO: How Did I Get Here?"	http://www.monkeysnatchbanana.com/2016/11/22/codemeshio-how-did-i-get-here/
Video from QCon NY 2016 on InfoQ	https://www.infoq.com/presentations/trust-distributed-systems
Video from CodeMeshIO on YouTube	https://www.youtube.com/watch?v=6MsPDtpe2tg
Presentation on Speakerdeck	https://speakerdeck.com/seantallen/how-did-i-get-here-building-confidence-in-a-distributed-stream-processor-1
	https://github.com/DataQuery/testing-distributed-systems#google
Efficient Exploratory Testing of Concurrent Systems	http://www.pdl.cmu.edu/PDL-FTP/associated/CMU-PDL-11-113.pdf
Exploratory Testing Architecture (ETA)	https://github.com/google/cluster-data/blob/master/ETAExplorationTraces.md
Paxos Made Live — An Engineering Perspective	http://research.google.com/pubs/pub33002.html
10 Years of Crashing Google	https://www.usenix.org/conference/lisa15/conference-program/presentation/krishnan
Testing for Reliability	https://landing.google.com/sre/book/chapters/testing-reliability.html
	https://github.com/DataQuery/testing-distributed-systems#microsoft
Asynchronous programming, analysis and testing with state machines	https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/paper-6.pdf
Uncovering Bugs in Distributed Storage Systems during Testing (not in Production!)	http://research.microsoft.com/pubs/260939/paper.pdf
Windows Azure Storage: A Highly Available Cloud Storage Service with Strong Consistency	http://www.sigops.org/sosp/sosp11/current/2011-Cascais/11-calder-online.pdf
Inside Azure Search: Chaos Engineering	https://azure.microsoft.com/ru-ru/blog/inside-azure-search-chaos-engineering/
TLA+ at Microsoft: 16 Years in Production	https://youtu.be/azx6cX-BlCs
formal methods	https://github.com/DataQuery/testing-distributed-systems#formal-methods
	https://github.com/DataQuery/testing-distributed-systems#dropbox
Mysteries of Dropbox Property-Based Testing of a Distributed Synchronization Service	http://www.cis.upenn.edu/~bcpierce/papers/mysteriesofdropbox.pdf
Data Checking at Dropbox	https://youtu.be/WUaMN2kywR4
	https://github.com/DataQuery/testing-distributed-systems#atomix-copycat
A novel implementation of the Raft consensus algorithm	https://github.com/atomix/copycat
Jepsen tests for Atomix Copycat	https://github.com/atomix/atomix-jepsen
	https://github.com/DataQuery/testing-distributed-systems#onyx
Onyx Straps in For a Jepsening	http://www.onyxplatform.org/jekyll/update/2016/03/15/Onyx-Straps-In-For-A-Jepsening.html
Jepsen test Onyx	https://github.com/onyx-platform/onyx-jepsen
	https://github.com/DataQuery/testing-distributed-systems#linkedin
Simoorg Failure inducer framework	https://github.com/linkedin/simoorg
A Deep Dive into Simoorg	https://engineering.linkedin.com/blog/2016/03/deep-dive-Simoorg-open-source-failure-induction-framework
Dynamometer: Scale Testing HDFS on Minimal Hardware with Maximum Fidelity	https://engineering.linkedin.com/blog/2018/02/dynamometer--scale-testing-hdfs-on-minimal-hardware-with-maximum
	https://github.com/DataQuery/testing-distributed-systems#druidio
Architecting Distributed Databases for Failure	http://www.infoq.com/presentations/data-integrity-distributed-systems
	https://github.com/DataQuery/testing-distributed-systems#salesforce
Go Fast and Don't Break Things: Ensuring Quality in the Cloud	http://www.hpts.ws/papers/2011/sessions_2011/HansmaHPTS2011.pdf
	https://github.com/DataQuery/testing-distributed-systems#sqlite
Finding bugs in SQLite, the easy way	http://lcamtuf.blogspot.ru/2015/04/finding-bugs-in-sqlite-easy-way.html
How SQLite Is Tested	https://www.sqlite.org/testing.html
	https://github.com/DataQuery/testing-distributed-systems#influxdb
Jepsen and InfluxDB part 1	http://www.refactorium.com/distributed_systems/Hacking-up-a-testing-environment-for-jepsen-and-influxdb/
Jepsen and InfluxDB part 2	http://www.refactorium.com/distributed_systems/InfluxDB-and-Jepsen-Chapter-II-Where-is-influxdb-on-the-cap-scale/
	https://github.com/DataQuery/testing-distributed-systems#shopify
Resiliency Testing with Toxiproxy	https://www.usenix.org/conference/lisa17/conference-program/presentation/pittis
Toxiproxy — A TCP proxy to simulate network and system conditions for chaos and resiliency testing	https://github.com/Shopify/toxiproxy
	https://github.com/DataQuery/testing-distributed-systems#confluent-kafka
Kafka Fault Injection framework	https://cwiki.apache.org/confluence/display/KAFKA/Fault+Injection
TLA+ specification of the Kafka replication protocol	https://github.com/hachikuji/kafka-specification
hardening Kafka replication protocol	https://www.confluent.io/kafka-summit-sf18/hardening-kafka-replication
formal methods	https://github.com/DataQuery/testing-distributed-systems#formal-methods
	https://github.com/DataQuery/testing-distributed-systems#elastic-elastic-search
Growing a protocol	https://blog.acolyer.org/2017/08/23/growing-a-protocol/
lineage driven fault injection	https://github.com/DataQuery/testing-distributed-systems#lineage-driven-fault-injection
	https://github.com/DataQuery/testing-distributed-systems#yugabyte-db
Jepsen Testing on YugaByte DB	https://blog.yugabyte.com/jepsen-testing-on-yugabyte-db-database/
Jepsen	https://github.com/DataQuery/testing-distributed-systems#jepsen
YugaByte DB 1.1.9 analysis by Kyle Kingsbury	https://jepsen.io/analyses/yugabyte-db-1.1.9
"YugaByte DB 1.2 Passes Jepsen Testing"	https://blog.yugabyte.com/yugabyte-db-1-2-passes-jepsen-testing/
"Wrapping Up: Jepsen Test Results for YugaByte DB 1.2 Webinar"	https://blog.yugabyte.com/wrapping-up-jepsen-test-results-for-yugabyte-db-1-2-webinar/
YugaByte DB 1.3.1	https://jepsen.io/analyses/yugabyte-db-1.3.1
blog post	https://blog.yugabyte.com/yugabyte-db-distributed-sql-api-passes-jepsen-tests/
	https://github.com/DataQuery/testing-distributed-systems#faunadb
Verifying Transactional Consistency with Jepsen	https://fauna.com/blog/verifying-transactional-consistency-with-jepsen-and-faunadb
Jepsen	https://github.com/DataQuery/testing-distributed-systems#jepsen
Jepsen: FaunaDB 2.5.4	https://jepsen.io/analyses/faunadb-2.5.4
Jepsen	https://github.com/DataQuery/testing-distributed-systems#jepsen
blog	https://fauna.com/blog/faunadbs-official-jepsen-results
	https://github.com/DataQuery/testing-distributed-systems#hazelcast
Testing the CP Subsystem with Jepsen	https://hazelcast.com/blog/testing-the-cp-subsystem-with-jepsen/
Jepsen	https://github.com/DataQuery/testing-distributed-systems#jepsen
	https://github.com/DataQuery/testing-distributed-systems#basho-riak
Testing Eventual Consistency in Riak	http://www.erlang-factory.com/conference/ErlangUserConference2012/speakers/UlfNorell
QuickCheck	https://github.com/DataQuery/testing-distributed-systems#quickcheck
on youtube	https://youtu.be/x9mW54GJpG0
Modeling Eventual Consistency Databases with QuickCheck	https://vimeo.com/23220830
QuickCheck	https://github.com/DataQuery/testing-distributed-systems#quickcheck
	https://github.com/DataQuery/testing-distributed-systems#coreos-etcd
Testing distributed systems in Go	https://coreos.com/blog/testing-distributed-systems-in-go.html
	https://github.com/DataQuery/testing-distributed-systems#tools
Hermitage: Testing transaction isolation levels	https://github.com/ept/hermitage
RapidCheck — QuickCheck port to C++	https://github.com/emil-e/rapidcheck
faketime	http://manpages.ubuntu.com/manpages/natty/man1/faketime.1.html
	https://github.com/DataQuery/testing-distributed-systems#network-simulation
Comcast — Simulating shitty network connections so you can build better systems	https://github.com/tylertreat/comcast
Muxy Simulating real-world distributed system failures	https://github.com/mefellows/muxy
Namazu — Programmable fuzzy scheduler for testing distributed systems	https://github.com/osrg/namazu
Toxiproxy — A TCP proxy to simulate network and system conditions for chaos and resiliency testing	https://github.com/Shopify/toxiproxy
Traffic Control	http://www.funtoo.org/Traffic_Control
Python API for Linux Traffic Control	https://github.com/praus/shapy
Slow tool	https://github.com/ModusCreateOrg/slow/
Blockade is a utility for testing network failures and partitions in distributed applications	https://github.com/dcm-oss/blockade
DEMi: Distributed Execution Minimizer for Akka	https://github.com/NetSys/demi
	https://github.com/DataQuery/testing-distributed-systems#quickcheck
PolyConf 14: Testing the Hard Stuff and Staying Sane / John Hughes	https://youtu.be/F6LzB6SdFKA
The Joy of Testing	http://www.infoq.com/presentations/The-Joy-of-Testing
John Hughes on InfoQ	http://www.infoq.com/author/John-Hughes
Hansei: Property-based Development of Concurrent Systems	https://speakerdeck.com/jtuple/hansei-property-based-development-of-concurrent-systems
QuickChecking Poolboy for Fun and Profit	http://basho.com/posts/technical/quickchecking-poolboy-for-fun-and-profit/
Combining Fault-Injection with Property-Based Testing	http://www2.hh.se/staff/magnusj/papers/2014_DATE_ES4CPS.pdf
Testing Telecoms Software with Quviq QuickCheck	http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.148.6554&rep=rep1&type=pdf
Fuzz testing distributed systems with QuickCheck	https://making.pusher.com/fuzz-testing-distributed-systems-with-quickcheck/index.html
	https://github.com/DataQuery/testing-distributed-systems#benchmarking
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases	http://www.vldb.org/pvldb/vol7/p277-difallah.pdf
OLTP Benchmark Wiki	http://oltpbenchmark.com/wiki/index.php?title=Main_Page
OLTP Benchmark on Github	https://github.com/oltpbenchmark
Py-TPCC	https://github.com/apavlo/py-tpcc
Netflix Data Benchmark: Benchmarking Cloud Data Stores	http://techblog.netflix.com/2016/09/netflix-data-benchmark-benchmarking.html
	https://github.com/DataQuery/testing-distributed-systems#linkbench
LinkBench from Facebook	https://www.facebook.com/notes/facebook-engineering/linkbench-a-database-benchmark-for-the-social-graph/10151391496443920
Github.com repo	https://github.com/facebookarchive/linkbench
LinkBenchX from Percona	https://www.percona.com/blog/2015/05/01/linkbenchx-benchmark-based-arrival-request-rate/
	https://github.com/DataQuery/testing-distributed-systems#ycsb
Yahoo! Cloud System Benchmark (YCSB)	https://github.com/brianfrankcooper/YCSB
YCSB+T: Benchmarking Web-scale Transactional Databases	http://www.researchgate.net/publication/269306582_YCSBT_Benchmarking_web-scale_transactional_databases
YCSB++	http://www.pdl.cmu.edu/ycsb++/
Correcting YCSB's Coordinated Omission problem	http://psy-lob-saw.blogspot.ru/2015/03/fixing-ycsb-coordinated-omission.html
asatarin.github.io/testing-distributed-systems/	https://asatarin.github.io/testing-distributed-systems/
Readme	https://github.com/DataQuery/testing-distributed-systems#readme-ov-file
CC0-1.0 license	https://github.com/DataQuery/testing-distributed-systems#CC0-1.0-1-ov-file
Please reload this page	https://github.com/DataQuery/testing-distributed-systems
Activity	https://github.com/DataQuery/testing-distributed-systems/activity
Custom properties	https://github.com/DataQuery/testing-distributed-systems/custom-properties
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Releases	https://github.com/DataQuery/testing-distributed-systems/releases
Packages 0	https://github.com/orgs/DataQuery/packages?repo_name=testing-distributed-systems
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Contributors	https://github.com/DataQuery/testing-distributed-systems/graphs/contributors
Please reload this page	https://github.com/DataQuery/testing-distributed-systems
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