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Avishai Ish Shalom

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What's the cost of a millisecondDevOpsDays Tel Aviv 20242024-10-30
Shows that a 1 ms delay deep in the stack can amplify into hundreds of milliseconds — example arithmetic 16 ms becomes 740 ms because of queuing and retries…
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The Math of ScalabilitySREcon22 Europe/Middle East/Africa2022-10-25
Uses math to prove counterintuitive scaling effects: traffic at Burning Man shows adding lanes slows flow, the birthday paradox gives collisions at 23 people…
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What's the Cost of a Millisecond?SREcon212021-10-12
Claim: tiny delays amplify everywhere because queues, head‑of‑line blocking and retries compound multiplicatively. Uses an M/M/1 simulation, Kingman’s formula…
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The Math of ReliabilityApacheCon@Home 20212021-09-21
Begins with Guinness and the origin of the student t-test, then shows concrete math: a 15s probe with a 4-fail alert threshold gives 0.4^4 = 2.56% per-try but…
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Cloud Native: The Cattle, the Pets, and the GermsCloud Native & OSS Day Tel Aviv 20192019-12-03
Argues that the cattle metaphor is outdated and cloud native systems behave like germs: large, semi‑autonomous, constantly dying and being born. Cites…
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You don’t have a production environmentReversim Summit 20192019-06-16
"We have a problem in production! does it reproduce in staging?" is a sentence often uttered in many companies. Underlying this simple sentence lie implicit…
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Cloud native: the cattle the pets and the germsDevOpsDays Tel Aviv 20182018-12-18
Argues that cloud native has moved from “pets” and “cattle” to an ecology of ephemeral cells: containers, Kubernetes, serverless (Lambda) and cloud databases…
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Can I Tell You a Secret? I See Dead SystemsSREcon18 Europe/Middle East/Africa2018-08-29
Modern systems carry 40+ year old cruft that still shapes behavior: sending an interrupt to the keyboard controller on every boot to switch CPU mode (the 8042…
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Resilient Design 101: Queue TheoryBuild Stuff 20172017-11-15
Wix runs ~500 microservices for ~100 million users and queue theory explains why latency explodes as utilization nears 100%: small variance makes queues grow…
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