~/conference

DevOpsDays Tel Aviv 2018

date:2018-12-18..2018-12-19
location:Tel Aviv-Yafo, Israel
series:DevOpsDays Tel Aviv · 2 editions
editions:[DevOpsDays Tel Aviv 2018, DevOpsDays Tel Aviv 2024]
titleauthorlength
Hacking HumansJono Bacon42m
Five concrete principles: simple clear on‑ramps (six onboarding steps from why to validation for a first pull request), principled choice and asynchronous…
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How to design your team for scaleAdi Shacham Shavit24m
Divides scaling into traffic, team, and territory and gives concrete fixes: use autoscaling, elastic DBs and offline workers for traffic; enforce tests, code…
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10 secrets from Amazon and Google to make your company awesomeAmir Shevat45m
Big companies here prove specific practices work: hiring with four to eight interviews and a bar raiser prevents bad hires; diverse panels increase…
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16 Guidelines for a Happy Life: Applying an Ancient Tibetan Text to the World of WorkStephen Nelson-Smith31m
Condenses an ancient Tibetan set into 16 guidelines organized under four practical themes — how we think, act, relate, find meaning — and maps each guideline…
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Come with me if you want to code: the PiNetAaron Wolf30m
Builds a 20-station computer lab from scavenged Raspberry Pi units using the open-source PiNet server on a laptop, wrestles with DHCP which fails on a switch…
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Culture eats improvement before breakfastSabine Wojcieszak36m
Anecdotes span a 23‑year‑old command‑and‑control shop where leaders publically shamed staff, hoarded credit and killed improvement, to a university case where…
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My Tiny Phoenix ProjectKaren Cohen27m
A team intervention replaces a single hero with shared ownership by enforcing three concrete rules: never come in empty handed, escalate gradually and everyone…
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DevOps Security - Is It Really So Difficult?Reuven Harrisson36m
Claims that security must be automated and that gamified metrics pull developers into fixing issues; demonstrates a CI/CD pattern using CircleCI + Docker +…
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Deploy and Destroy: Testing EnvironmentsMichael Arenzon32m
Builds a self-serve platform called Namespaces that turns environment configs into JSON schemas and CRUD APIs and wires them to Mesos/Marathon, Docker…
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How to Handle Errors and Retries in a Stateless EnvironmentNitzan Shapira35m
Serverless platforms expose AWS Lambda up to 15 minute runs but also timeouts, out‑of‑memory and cold starts with containers reused minutes to hours. Cloud…
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What does Serverless mean for tomorrow’s abstracted infrastructure?Gadi Naor35m
Serverless moves the perimeter into provider-managed runtimes, which forces teams to build strong abstractions for triggers and persistence and to test both…
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Observability - the practical approachANTON DRUKH34m
Snyk.io builds observability around structured JSON logs from Node.js/Python services on Kubernetes, using Bunyan, Fluentd and Logz.io (ELK). The team logs one…
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Charts and visual liesElena Levi27m
Shows concrete ways charts deceive and how to fix them: truncated y axes that turn a 68 vs 69 CPU score into a huge gap (scale matters, start at zero)…
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Want to do the DevOps? Change EverythingKen Mugrage37m
Claim: successful DevOps adoption requires changing organization, architecture, pipeline and culture together — you can’t just install tools. Example wins: a…
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Value driven threat modelling - security by designAvi Douglen39m
Claim: lightweight, value-driven threat modeling fits inside two-week sprints and DevOps by putting security into user stories rather than big up-front models…
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When is AI taking over _my_ job?Sasha Czarkowski Rosenbaum31m
Machines already replace narrow tasks: speech-to-text surpasses human parity and machine translation matches or beats humans; recommendation engines steer…
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Developing 3 times faster thanks to KaizenClément Pasteau26m
Claims that delivery speed triples in six months and shows the numbers: tripled delivery speed (6→18.5 points/day). Implements Kaizen boards with six-step…
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Bootstrap new organisation - The Ops side of thingsYogev Levi Shaked24m
Bootstrapping ops prioritizes three concrete goals: enable cold shipping so developers can push code to production, manage technical and security debt, and…
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Data Science in DevOps/SysOpsBoaz Shuster05m
Collects CI/CD metadata and builds concrete models: a decision tree classifier predicts when to delete stale containers (it blocks a covert Bitcoin miner), CI…
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Building Distributed Systems in Distributed TeamsPhillip Krenn05m
Company runs distributed by design with core tools: lots of email, Slack and Zoom for sync and something like Git for async, regular all-hands that scale to…
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CI/CD doesn't necessarily mean JenkinsOmer Hamerman05m
Argues that CI/CD does not require Jenkins and shows a working alternative using Drone alongside mentions of Travis and CircleCI, claiming fewer UI…
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The Misuse of the Hebrew Technical Language: Shir HaPitz'putzimMaish Saidel-Keesing05m
A humorous lightning talk about how Hebrew technical vocabulary is created by adapting English terms into odd Hebrew forms. It examines examples of these…
Talk in Hebrew
Implementing SRE practices: SLI/SLO deep diveDavid N. Blank-Edelman38m
Explains how to turn reliability into measurable ratios (SLIs) like successful HTTP calls/total and simple math (50 of 100 = 50%), and how to set SLOs with…
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WAT.tfNati Cohen05m
Terraform gets praised but also breaks expectations: using lists to DRY S3 bucket creation leads to one delete planning to destroy all buckets; modules do not…
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Pcapy and dpkt - tcpdump on steroidsRan Leibman04m
Uses Python plus pcapy and dpkt to move beyond raw tcpdump output by setting a libpcap filter, attaching a callback, and handing each packet to protocol…
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26 Feature Branches and other tales from the wildKen Mugrage07m
A client runs 26 feature branches and only notices integration failures after sprint-end, so the CI server rarely sees combined changes; another team deploys…
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The unsung glory of internal productsGil Zellner05m
Tiny internal scripts replace painful clicks and save real time: a seven-line VPN woman that cuts retyping and saves ~20 minutes per engineer per day; a…
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0Flake - Reaching reliable non-flaky testsItai Freindinger41m
Finds three root causes of flakiness: unit floating point precision, non‑deterministic ML integration, and eventual‑consistency pipeline hiccups. Replaces…
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Papers Please! A Non-Dystopian Look at Modern AuthenticationSam Bellen18m
Covers concrete OAuth2 patterns for four real scenarios: server‑rendered web apps use the authorization code flow to exchange a code for tokens then issue a…
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Cloud native: the cattle the pets and the germsAvishai Ish Shalom31m
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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