Ukubuyekezwa Kuyinto isinyathelo esibonakalayo kwebhizinisi: isixazululo se-cloud security has a winner. I-interesting is how they won. I-Wiz was not the first mover. I-Lacework yasungulwa eminyakeni eminyakeni edlule nge-team enhle, i-product vision enhle, ne-top-tier VC backing. Ngakho-ke yintoni ebuthile ku-Lacework? Futhi yintoni ebuthile ku-Wiz? Ukubuyekezwa kwe-Wiz ku-$32 billion Uma uchofoza i-social media, uzothola ama-engineers kanye ne-CISOs abalandela into efanayo. I-Threads ku-X, i-Reddit, ne-Hacker News inezindaba ezingu-dozen ezivela ku-matchup. I-response inikeza izifundo ngaphandle kuphela kumadivayisi we-security, kodwa kumadivayisi wokwakha imikhiqizo ephakeme we-data. Ngokuvamile, i-Wiz yenza izinto eziningi ngokufanele kusuka ku-strategy ye-product kanye ne-GTM kuya ku-support ne-execution ye-customer. Kodwa kukhona ingxubevange elingu-ke angaziwa kakhulu ku-analytics eyenziwe ngokuvamile. Kuyinto i-niche yam: isakhiwo se-data. It kungabangela nje isisombululo yayo esifundeni, futhi lokhu kungenzeka ukuthi ngitholile lokhu ukucubungula. Yenza i-Reddit, isibonelo. Izindaba ezininzi zihlanganisa i-Lacework ne-Wiz, nge-engineers zihlanganisa izinzuzo ezingenalutho ze-evaluations ne-deployments. Ngingathanda emzimbeni we-infrastructure yedatha. Kodwa le ncwadi iyatholakala kakhulu ku-architecture yedatha kanye ne-strategy yama-product. Sishayele ukuthi wonke umkhakha wahlala. Lacework: Graph Ideas, SQL Reality Lacework: Graph Izinhlelo, SQL Reality I-Lacework yasungulwa ngo-2015 nge-Polygraph® Data Platform. I-Lacework yasungulwa ukuhlola ama-threats ngokuphathelene ne-relationships ne-behaviors phakathi kwama-cloud, isibonelo se-graph usebenzisa. Kodwa ngaphansi kwe-cap, i-Lacework ayisebenzisa i-graph database. Baya ku-Snowflake. Why Snowflake? Okungenani ngenxa ye-Sutter Hill Ventures i-incubated amabhizinisi amabili. Futhi ngokuvumelana, i-Snowflake iyatholakala embhedeni. I-Snowflake inikeza ukucindezeleka okuphakeme kanye ne-cost relatively low. Ungayitholisa ama-volumes amakhulu ye-cloud telemetry, futhi i-scale ngokugqithisileyo. Kuyinto enhle yokulawula imikhiqizo kanye nokugcina idatha. Kodwa kukhona ithuba. I-Snowflake ayenziwe ngenxa ye-graph workloads. Ukubhala isibuyekezo se-relationship ye-3-hop ku-SQL kungabangela i-100+ izilinganiso ze-joins ezihlangeneyo. Ngiyazi ukuthi isibuyekezo se-basic ingaba ku-SQL: SELECT a.user_id, d.device_id, n.network_id
FROM users a
JOIN logins b ON a.user_id = b.user_id
JOIN devices d ON b.device_id = d.device_id
JOIN connections c ON d.device_id = c.device_id
JOIN networks n ON c.network_id = n.network_id
WHERE n.public = true;
 Sishayele ukucubungula oku ku-10-hops, nge-filters, ama-aggregations, kanye ne-alert logic. Ngaphandle kwe-engineers enhle ngeke ikhalise. Ukukhula kubaluleke futhi kubaluleke ukugcina. Wiz: Native Graph, Feature Velocity Wiz: I-Native Graph, I-Feature Velocity I-Wiz yasungulwa ngo-2020 ngu-Assaf Rappaport kanye ne-ex-team yayo e-Adallom. Bhalisa indlela eyahlukile. Ngokuqala, i-Wiz isetshenziselwa i-Amazon Neptune, i-database ye-graph native. Kuhlolwe nge-blog ye-AWS , I-Wiz CTO Ami Luttwak ibonisa indlela yayo: “I-The World Is A Graph” "Uluhlu kuyinto i-graph, akuyona i-table. It's time our tooling reflected this." I-Wiz i-modeled yonke into, abasebenzisi, izindawo, izilimi, kanye nezindlu, njenge-nodes kanye ne-edges. Ziye zihlanganisa nge-Gremlin. Nazi isibonelo esemthethweni: g.V().hasLabel("vm").has("public", true)
  .out("connectedTo").hasLabel("network")
  .out("reachableBy").has("role", "admin")
  .path()
 Uhlobo le-logic iyatholakala ku-10 amayunithi nge-Gremlin. Ngokusho kwe-SQL? Kuyinto umdlavuza. Ukulungiselela le-architectural wabheka i-Wiz isivinini esikhulu sokuthuthukiswa. Nge-Neptune ne-Gremlin, ama-engineers angakwazi ukuchaza isisombululo se-security emangalisayo emangalisayo, ezaziwayo futhi zithunyelwe ngokushesha. Lokhu kunzima izinsuku noma izinsuku ku-SQL ngenxa ye-joins ezincinane kanye nezinkinga ezininzi ze-query ziye zithunyelwe futhi zithunyelwe emahoreni. Lokhu kubaluleke. I-Security kuyinto indawo esizayo ngokushesha, futhi umthamo we-Wiz yokuthumela izici ngesivinini se-start zihlanganisa ukuthi kungenziwa izicelo ze-customer, izidingo zokuhambisana, kanye ne-intelligence ye-threat ngokushesha kun Ku-2022, i-Wiz iye yandisa inikeza yayo ku-graph infrastructure ngokushesha ukwandisa kwi-Amazon Neptune. I-native graph technology yayo ayikho kuphela yobungcali; okuhlobisa isivinini kanye nokuhlanganiswa kwabo. The Graph Bet That Changed Everything Umdlalo we-Graph That Changed Everything Ukusebenzisa i-Snowflake, bakwazi ukuchitha futhi ukugcina amasethi amakhulu e-telemetry nge-elastic scaling kanye ne-cost marginal ezingaphansi. Abanikezele ukugcina idatha ye-graph eyahlukile noma ukulungiselela imikhiqizo ye-graph. I-trade-off iyatholakala: Umklamo we-tabular ye-Snowflake ayenzelwe ukulungiselela izilinganiso ze-deep relations. Ukusebenza kwe-graphic logic ku-SQL, ikakhulukazi i-multi-hop joins, iyatholakala emangalisayo, emangalisayo, futhi kuhlukaniswe kakhulu. Lokhu kwandisa ukuthuthukiswa futhi yenza ukuvuselelwa kwe-threat modeling eningi. I-Wiz iyatholakala ngesivinini. Ngokuhambisa ku-graph engine e-native, bakwazi ukuhlaziywa ngokukhawuleza, isibuyekezo se-query ngokucacileyo, kanye ne-security model esekelwe kuma-relationships. Abanikwazi ukuxhumana iziphumo ezintsha noma iziphakamiso ezisekelwe ku-crossover eminyakeni amabili we-Gremlin, i-prototype i-ideas ngokushesha, futhi i-ship updates ngokushesha. Ngama-cybersecurity, i-speed ikhiqiza. Amakhasimende abalandeli ngokushesha kwe-function kanye ne-detection ikhwalithi kunezinguqulo ezincinane ze-computing. I-Wiz wahlala isitimela esikhulu, kodwa esisebenzayo: zithathengiswa kakhulu kumadivayisi, kodwa zithengise izinguqulo ezincinane futhi zithengise indawo. I-Architecture ye-Lacework inikezela ukuhlaziywa ngokushesha, kodwa le ncwadi efanayo inikezela ukwakha izici zokhuseleko ze-graph-native. I-Lacework iyatholakala ngokushesha nokushesha. I-Wiz iyatholakala ngokushesha kanye ne-value ye-product. Umphumela wabelane. Can You Get the Wiz Speed With Low Cost and Unlimited Scalability of Data Lakes? Ungathola Isivinini se-Wiz nge-cost eyi-low and unlimited scalability ye-data lakes? Uma uye wahlanganyela kuze kube manje, ungathanda: Ingaba kungenzeka ukufumana izinzuzo ze-native graph system, iteration esisha, izivakashi ze-multi-hop, ngaphandle kwe-cost enhle kanye ne-complexity ye-graph databases ezivamile? I-cybersecurity unicorns eminingi iye yenza izindlela ezintsha zokwenza ukulawula izinzuzo ze-scalability kanye nezindleko ze-graphic databases ezivamile: 
 
 
 I-friend at a Series F cybersecurity start-up wabhala ukuthi zihlanganisa kuphela i-day-value data ye-graph, ngoba idatha ye-graph ayikwazi ukucubungula. Enye inkampani iveza umsebenzi yayo ye-graph: i-topology ivela ku-graph database, kodwa zonke iziqu ze-attributes zithunyelwe ku-storage efana ne-Snowflake noma i-Databricks. Lezi zihlanganisa okuhlobene. Kodwa zihlanganisa.

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