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OR_on1177147239 |
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OCoLC |
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20231017213018.0 |
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m o c |
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vz czazuu |
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200724s2019 xx 043 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d OCLCO
|d OCLCQ
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1 |
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|a AU@
|b 000071521866
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|a (OCoLC)1177147239
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|a CL0501000125
|b Safari Books Online
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|a QA76.585
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|a UAMI
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100 |
1 |
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|a Gavra, Alon,
|e on-screen presenter.
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245 |
1 |
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|a Managing your Kafka in an explosive growth environment /
|c Alon Gavra.
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264 |
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1 |
|a [Place of publication not identified] :
|b O'Reilly Media,
|c 2019.
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300 |
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|a 1 online resource (1 streaming video file (42 min., 20 sec.))
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a video
|b v
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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511 |
0 |
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|a Presenter, Alon Gavra.
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500 |
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|a Title from title screen (viewed July 24, 2020).
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|a "Frequently, Kafka is just a piece of the stack that lives in production that often times no one wants to touch--because it just works. Kafka sits at the core of AppsFlyer's infrastructure that processes billions of events daily. Alon Gavra (AppsFlyer) dives into how AppsFlyer built its microservices architecture with Kafka as its core piece to support 70B+ requests daily. With continuous growth, the company needed to "learn on the job" how to improve its Kafka architecture by moving to the producer-owner cluster model, breaking up its massive monolith clusters to smaller, more robust clusters and migrating from an older version of Kafka with real-time production clients and data streams. Alon outlines best practices for leveraging Kafka's in-memory capabilities and built-in partitioning, as well as some of the tweaks and stabilization mechanisms that enable real-time performance at web scale, alongside processes for continuous upgrades and deployments with end-to-end automation, in an environment of constant traffic growth. This session is from the 2019 O'Reilly Strata Conference in New York, NY."--Resource description page
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
611 |
2 |
0 |
|a O'Reilly Strata Data Conference
|d (2019 :
|c New York, N.Y.)
|
630 |
0 |
0 |
|a Apache Kafka.
|
650 |
|
0 |
|a Cloud computing.
|
650 |
|
0 |
|a Application program interfaces (Computer software)
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650 |
|
0 |
|a Application software
|x Development.
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650 |
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0 |
|a Real-time data processing.
|
650 |
|
0 |
|a Information technology
|x Management.
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650 |
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6 |
|a Infonuagique.
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650 |
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6 |
|a Interfaces de programmation d'applications.
|
650 |
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6 |
|a Logiciels d'application
|x Développement.
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650 |
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6 |
|a Temps réel (Informatique)
|
650 |
|
6 |
|a Technologie de l'information
|x Gestion.
|
650 |
|
7 |
|a APIs (interfaces)
|2 aat
|
650 |
|
7 |
|a Application program interfaces (Computer software)
|2 fast
|0 (OCoLC)fst00811704
|
650 |
|
7 |
|a Application software
|x Development
|2 fast
|0 (OCoLC)fst00811707
|
650 |
|
7 |
|a Cloud computing
|2 fast
|0 (OCoLC)fst01745899
|
650 |
|
7 |
|a Information technology
|x Management
|2 fast
|0 (OCoLC)fst00973112
|
650 |
|
7 |
|a Real-time data processing
|2 fast
|0 (OCoLC)fst01091219
|
856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/0636920372097/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
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|a 92
|b IZTAP
|