Statements (102)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:software
|
gptkbp:aims_to |
improve availability
|
gptkbp:can_be_used_with |
cloud environments
|
gptkbp:can_provide |
identify weaknesses
|
gptkbp:developed_by |
gptkb:streaming_service
gptkb:software_framework AWS cloud services |
gptkbp:enables |
failure injection
|
gptkbp:ends_at |
virtual machines
|
gptkbp:enhances |
fault tolerance
|
gptkbp:first_released |
gptkb:2010
|
gptkbp:has_influence_on |
other chaos engineering tools
|
https://www.w3.org/2000/01/rdf-schema#label |
Chaos Monkey
|
gptkbp:inspired_by |
chaos engineering
|
gptkbp:is_a |
chaos engineering tool
tool for chaos engineering |
gptkbp:is_adopted_by |
enterprise applications
startups technology companies |
gptkbp:is_available_on |
gptkb:archive
|
gptkbp:is_considered |
best practice
a key component a best practice an essential tool a foundational tool a pioneering tool a pioneering tool in chaos engineering. |
gptkbp:is_designed_for |
microservices architecture
|
gptkbp:is_designed_to |
reduce downtime
simulate failures |
gptkbp:is_documented_in |
gptkb:archive
case studies technical blogs Netflix Tech Blog |
gptkbp:is_essential_for |
cloud reliability
|
gptkbp:is_evaluated_by |
performance metrics
system reliability operational metrics |
gptkbp:is_implemented_in |
cloud infrastructure
large-scale systems production environments reduce downtime |
gptkbp:is_integrated_with |
monitoring tools
alerting systems CI/ CD pipelines |
gptkbp:is_known_for |
its effectiveness
improving system robustness randomized chaos testing randomized failure injection |
gptkbp:is_open_source |
gptkb:theorem
|
gptkbp:is_part_of |
cloud-native applications
resilience strategies continuous delivery practices resilience engineering Dev Ops practices chaos engineering toolkit resilience testing Netflix's engineering culture resilience engineering practices resilience testing strategy |
gptkbp:is_popular_in |
cloud architects
|
gptkbp:is_promoted_by |
cloud service providers
Dev Ops communities |
gptkbp:is_related_to |
site reliability engineering
availability testing |
gptkbp:is_tested_for |
real-world scenarios
production environments failure scenarios service level objectives |
gptkbp:is_used_by |
large-scale applications
Dev Ops teams |
gptkbp:is_used_for |
load testing
identify weaknesses |
gptkbp:is_used_to |
improve incident response
enhance system reliability validate system performance simulate outages test fault tolerance validate system behavior |
gptkbp:is_utilized_in |
cloud service providers
production systems disaster recovery testing Dev Ops teams ensure system robustness |
gptkbp:language |
gptkb:Java
|
gptkbp:operates |
cloud infrastructure
|
gptkbp:operating_system |
gptkb:operating_system
|
gptkbp:part_of |
gptkb:Simian_Army
|
gptkbp:passes_through |
multiple instances
|
gptkbp:promotes |
resilience testing
|
gptkbp:purpose |
testing system resilience
|
gptkbp:release_year |
gptkb:2010
|
gptkbp:requires |
AWS account
|
gptkbp:setting |
JSON files
terminate instances at random |
gptkbp:supports |
auto-scaling groups
|
gptkbp:targets |
gptkb:server
|
gptkbp:uses |
random instance termination
|
gptkbp:written_in |
gptkb:Java
|
gptkbp:bfsParent |
gptkb:Netflix_OSS
gptkb:Netflix_OSS_community |
gptkbp:bfsLayer |
4
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