~/conference

ITNEXT Summit 2019

date:2019-10-30
location:Amsterdam, Netherlands
series:ITNEXT Summit · one edition
titleauthorlength
Intro video02m
Annual conference promo for the fourth edition that spotlights JavaScript, DevOps, and Data Engineering tracks and lists sponsors: Anchorman, Bartos…
Promo on
Get your tickets now!01m
Announcement sample video - Not relevant anymore - Unlisted
Promo
Cultivating Production ExcellenceLiz Fong Jones29m
Defines production excellence as measurable practices: set 99.9% over 30 days SLOs (example: HTTP 200 and <100ms), compute the error budget (one in a thousand…
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Lessons learned from a React performance nightmareChinenye Onuegbe28m
A back-office React app with Redux holds up to 26 weeks of data, 50 cards per week, and spikes to 1,300 campaigns in memory (infinite scroll can push it toward…
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Zero to One: The Mystical Mathematics Of Creative CodingFrancis Stokes34m
Shows how plain JavaScript and HTML5 canvas turn simple signals into motion: time mapped into a 0 to 1 range, wrapped with modulo, warped by powers for easing…
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The last in the line: a talk about DevOps and DisastersNikola Yovchev30m
Relay42 handles ~70,000 events/sec and experiences corner-case outages where a single request pattern triggers expensive per-event Cassandra lookups and causes…
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Why serverless will revolutionize your software processJames Beswick35m
Builds a working serverless petition site in an hour using AWS Lambda, API Gateway, DynamoDB, S3 and CloudFront; it survives accidental real traffic spikes…
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Organizing data engineering around KubeflowMátyás Manninger35m
Kubeflow on Kubernetes runs reproducible, shareable ML pipelines where a Python function becomes a component with one-line Python-to-component conversion and…
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Keeping up to date with new technologies across teamsTara Ojo27m
FutureLearn’s scalable platform team (three months old) fixes real problems: inconsistent React components, faster test runs and infra tweaks, and shares those…
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Make Your Data FABulousPhilipp Krenn33m
Explains concrete accuracy vs speed vs scale trade-offs in Elasticsearch: terms aggregations use per-shard top-k (shard_size = size1.5+10 by default) which…
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Stream Processing beyond Streaming DataStephan Ewen42m
Apache Flink is presented as a unified runtime that runs streaming and batch workloads with stateful stream processing at scale — production deployments on…
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Aftermovie - 30 October with 3 tracks: Javascript, DevOps & Data Engineering02m
Aftermovie of the ITNEXT Summit 2019 at Pakhuis de Zwijger shows a full day with three tracks — JavaScript, DevOps and Data Engineering — many short talks and…
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4 Key takeaways from running Serverless on production for 4 yearsSerhat Can40m
Four years of running AWS Lambda at Opsgenie yields concrete lessons: production use hits concurrent execution limits and cold starts (Java + VPC used to…
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How we use Reinforcement Learning to solve the abbey of the crimeJuantomas Garcia32m
11:45 - 12:15 - IJ zaal - Data Engineering track ___________________________________________________________________________ Do you know the Abbey of the…
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Everything you don't want to know about privileged containersKris Nova38m
Builds a container from about 100 lines of C using clone, namespaces and cgroups, runs the same actions in Docker and in Kubernetes, and escalates a privileged…
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Why & how you can be reviewing OSS PRsHolden Karau30m
Reviewing OSS PRs accelerates learning and relieves reviewer bottlenecks: data shows large projects like Spark sit with 525 open PRs and maintainer burnout…
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Building modern web-applications with Hasura's GraphQL engineMarion Schleifer29m
Demo builds a Vue frontend talking to Hasura’s GraphQL engine on Postgres, deployed from a Heroku template that deploys in ~10s and auto-adds Postgres. The…
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Building an accessible smart guitar for the deaf, blind and muteJoe Birch31m
A prototype smart guitar that teaches chords to blind, deaf and mute users and that actually works: voice or button input sends requests to Actions on Google /…
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2019 10 30 ST Linkit ST 1145 1215P me to music24m
A traditional finance firm tries Kubernetes, splits half a team, and stalls for 6–12 months with no production result; cloud native requires roughly 20…
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