{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:XEBTTK5TPZR2O7TZS5YV4OYBXY","short_pith_number":"pith:XEBTTK5T","schema_version":"1.0","canonical_sha256":"b90339abb37e63a77e7997715e3b01be00672913539c95616dec608d159f62ec","source":{"kind":"arxiv","id":"2404.11169","version":1},"attestation_state":"computed","paper":{"title":"Mutiny! How does Kubernetes fail, and what can we do about it?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Catello Di Martino, Marcello Cinque, Marco Barletta, Ravishankar K. Iyer, Zbigniew T. Kalbarczyk","submitted_at":"2024-04-17T08:38:04Z","abstract_excerpt":"In this paper, we i) analyze and classify real-world failures of Kubernetes (the most popular container orchestration system), ii) develop a framework to perform a fault/error injection campaign targeting the data store preserving the cluster state, and iii) compare results of our fault/error injection experiments with real-world failures, showing that our fault/error injections can recreate many real-world failure patterns. The paper aims to address the lack of studies on systematic analyses of Kubernetes failures to date.\n  Our results show that even a single fault/error (e.g., a bit-flip) i"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2404.11169","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-17T08:38:04Z","cross_cats_sorted":[],"title_canon_sha256":"b4d017f69d85cb13924f21649488cd7149b932f68a9718b22b0eec418bceda10","abstract_canon_sha256":"539e143da5cdd7b905443b7a1b638aaea6855c3e6c24f2d1af89a68982e2e342"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:07:27.311871Z","signature_b64":"RvJr7hhxpl1WqXHTpbFyvLDOqtsw1CJ1d+phgo86UBYJmhteq4tiMVbx2xPyxpOCF2gXSVeYX7pNrAE0Edz0Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b90339abb37e63a77e7997715e3b01be00672913539c95616dec608d159f62ec","last_reissued_at":"2026-07-05T09:07:27.311346Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:07:27.311346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mutiny! How does Kubernetes fail, and what can we do about it?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Catello Di Martino, Marcello Cinque, Marco Barletta, Ravishankar K. Iyer, Zbigniew T. Kalbarczyk","submitted_at":"2024-04-17T08:38:04Z","abstract_excerpt":"In this paper, we i) analyze and classify real-world failures of Kubernetes (the most popular container orchestration system), ii) develop a framework to perform a fault/error injection campaign targeting the data store preserving the cluster state, and iii) compare results of our fault/error injection experiments with real-world failures, showing that our fault/error injections can recreate many real-world failure patterns. The paper aims to address the lack of studies on systematic analyses of Kubernetes failures to date.\n  Our results show that even a single fault/error (e.g., a bit-flip) i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11169","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.11169/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2404.11169","created_at":"2026-07-05T09:07:27.311424+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.11169v1","created_at":"2026-07-05T09:07:27.311424+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11169","created_at":"2026-07-05T09:07:27.311424+00:00"},{"alias_kind":"pith_short_12","alias_value":"XEBTTK5TPZR2","created_at":"2026-07-05T09:07:27.311424+00:00"},{"alias_kind":"pith_short_16","alias_value":"XEBTTK5TPZR2O7TZ","created_at":"2026-07-05T09:07:27.311424+00:00"},{"alias_kind":"pith_short_8","alias_value":"XEBTTK5T","created_at":"2026-07-05T09:07:27.311424+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.02490","citing_title":"Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM","ref_index":45,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY","json":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY.json","graph_json":"https://pith.science/api/pith-number/XEBTTK5TPZR2O7TZS5YV4OYBXY/graph.json","events_json":"https://pith.science/api/pith-number/XEBTTK5TPZR2O7TZS5YV4OYBXY/events.json","paper":"https://pith.science/paper/XEBTTK5T"},"agent_actions":{"view_html":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY","download_json":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY.json","view_paper":"https://pith.science/paper/XEBTTK5T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.11169&json=true","fetch_graph":"https://pith.science/api/pith-number/XEBTTK5TPZR2O7TZS5YV4OYBXY/graph.json","fetch_events":"https://pith.science/api/pith-number/XEBTTK5TPZR2O7TZS5YV4OYBXY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY/action/storage_attestation","attest_author":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY/action/author_attestation","sign_citation":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY/action/citation_signature","submit_replication":"https://pith.science/pith/XEBTTK5TPZR2O7TZS5YV4OYBXY/action/replication_record"}},"created_at":"2026-07-05T09:07:27.311424+00:00","updated_at":"2026-07-05T09:07:27.311424+00:00"}