DelEx Conf 2019
as the organisers put it
Delex stands for Delivery Excellence. Proper use of Test Automation and DevOps can shift delivery to a new heights.We introduce two-day event filled up with progressive ideas from changemakers and the most inspiring thinkers.Talks on conference will cover different level of Automated Testing, DevOps activities and tools.It is a good platform for professional networking that leaves plenty of space for collaboration!
who it's for
test automation engineers, QA engineers, devops engineers, ci/cd engineers, test architects, platform engineers
topics
Selenium 4; Serverspec with Test Kitchen; Appium mobile testing; Cypress testing framework; self-healing test automation; Elasticsearch security and sandboxing; Jenkins-driven continuous testing; ReportPortal flakiness detection; DevOps adoption checklist; Test Impact Analysis; Bluetooth IoT device testing; immutable release pipelines
| title | author | length |
|---|---|---|
| What's New in Selenium 4.0 | Alexey Barantsev | 42m |
Selenium 4 rewrites the Selenium Server/Grid architecture replacing the single hub with four node types (router, distributor, session-map, nodes) to eliminate… | ||
| How We Deliver a Robot | Nikolay Lagutko | 44m |
Describes a delivery pipeline that builds Java projects with GitLab CI (Maven, Gradle + Nebula), packages artifacts as Debian packages with preinst/postinst… | ||
| Test Driven Infrastructure with Serverspec & Kitchen CI | Adedayo Akinpelu | 47m |
Automated RSpec tests run against real instances, claiming to cut provisioning uncertainty and manual fixes by enforcing expected package, service and port… | ||
| Oreo, Nougat, Marshmallow and Lollipop: Effective Android Testing in 2019 | Ivan Krutov | 47m |
Provides Docker images that run Android emulators (Android 5–8) inside Selenoid/Selenite so Appium tests execute in containers. Images include ADB… | ||
| Monads for Testers | Igor Khrol | 50m |
Shows concrete Scala-on-JVM examples of replacing exceptions with Option and Either to return values-or-errors, using map/flatMap for monadic composition, and… | ||
| Securing a search engine while maintaining usability | Merrin Macleod | 47m |
Elasticsearch runs a custom Java sandbox and ships with security manager enabled by default so startups enable safety after initial bootstrap. Production mode… | ||
| Cypress — Charm and Ease | Yaroslav Pernerovsky | 47m |
Cypress is presented as a faster, more developer-friendly alternative to Selenium because it runs inside the browser and installs via npm (npm install cypress)… | ||
| Device Server for an Android Farm or Running More Than 30k Tests Every Day | Roman Ivanitsky | 41m |
Describes a custom Android test infrastructure that runs over 30,000 end-to-end tests per day by exposing ADB over HTTP (device-manager), using a coordinator… | ||
| Stability in Unstability: Self‑Healing Test Automation | Anna Chernyshova | 55m |
Describes a reusable, framework‑agnostic self‑healing layer for test automation that intercepts Selenium element-not-found errors and replaces broken static… | ||
| Real Use Cases for Using AWS Lambda for Infrastructure Tasks | Artem Nikitin | 47m |
Concrete examples of using AWS Lambda for infrastructure: Jenkins event-driven Lambdas that coordinate jobs and push summaries to SQS; a Lambda that builds and… | ||
| Building a Self-Managing Test Data Marketplace | Dzmitry Humianiuk | 46m |
A pipeline ingests production snapshots, discovers and flags sensitive fields, filters out EU/GDPR and minor data, and then masks or synthesizes values like… | ||
| Wargaming ElasticSearch Cloud Architecture | Denis Zheleztsov | 36m |
Describes an Elasticsearch cloud design built on a HashiCorp stack (Consul, Nomad, Vault) using host networking and strict node pinning to keep data nodes… | ||
| Automation of Security Scanning: Easy or Cheese | Karen Florykian | 40m |
Describes integrating SAST and DAST scanners into CI using ReportPortal, Carrier platform and Jira to reduce manual triage of noisy scan results (many false… | ||
| Building loose-coupled continuous testing platform | Artem Rozumenko | 45m |
Distributed, highly decoupled continuous-testing platform that wires Jenkins, Docker, JMeter/Gatling, Lighthouse, Influx and ReportPortal into a task queue and… | ||
| Test Automation. Worst Practices | Elena Kulgavaya | 54m |
Juno replaced one-size-fits-all testing with per-service strategies: services are split by role, database setup is centralized in a library that generates… | ||
| The Introduction of DevOps in Large-Scale Organizations | Ivan Evtuhovich | 41m |
Presents a case that introducing DevOps inside a single IT silo yields only minor improvements and describes concrete implementations: CI/CD pipelines, Python… | ||
| DevOps Checklist or How to Understand Where Your Team Is in the DevOps Landscape | Mikalai Alimenkou | 55m |
A practical, actionable checklist that splits DevOps into four domains—core infrastructure, developer infrastructure, development process, and customer… | ||
| Inside the Elastic: Testing a Well Known Open Source Stack | Merrin Macleod | 49m |
Maintains synchronized releases of Elasticsearch Logstash Kibana Beats by building immutable artifacts with a Vagrant + Gradle pipeline and running a layered… | ||
| Infinite Space for Your Tests | Alexei Khursevich | 43m |
A Jenkins-on-Kubernetes CI pipeline with a corporate autoscaling Selenium grid using AWS spot instances runs about 250,000 tests per day and completes full… | ||
| PowerShell, Graphs, Topology and Real Use Cases | Andrey Vernigora | 44m |
Practical PowerShell tooling ingests metadata (Windows event logs, DNS, firewall XML, Azure subscription exports) and builds dependency graphs using a wrapped… | ||
| Test Impact Analysis. Smarten up your pipeline and reduce t | Bart Szulc | 52m |
It’s always been a problem of mine to understand what code coverage reports want to tell me. Couldn’t wrap my head around this one particular number they come… | ||
| Migration to the Cloud, DevOps Perspective | Nikalai Stakanov | 43m |
Describes migrating from EC2 instances to managed services and serverless functions to cut costs and ops work — e.g., a component’s unit cost dropped from $19… | ||
| Design Decisions for the Perfect JS Testing Framework | Michael Bodnarchuk | 41m |
Compares JavaScript end-to-end testing tools — Protractor, Selenium/WebDriver variants, Cypress, Puppeteer, TestCafe and Nightwatch — and evaluates them by how… | ||
| Flaky Tests 2.0 | Andrei Solntsev | 48m |
Presents practical ways to reduce flaky UI tests using Selenide (claimed to fix about 90% of flakes) and investigative techniques—video recording, preserved… | ||
| A Research Study into DevOps Bottlenecks | Baruch Sadogursky | 46m |
A survey of Fortune 500 software delivery leaders identifies three root causes of DevOps bottlenecks—education, automation, and trust—and says addressing them… | ||
| Test Automation for Bluetooth Connected IoT Devices | Lasse Häll | 35m |
Claims a working proof of concept for automating mobile apps together with real Bluetooth IoT hardware using Appium against a private device lab in Sauce Labs'… | ||
| How an IntelliJ IDEA Plugin Can Help You in QA Automation | Artem Eroshenko | 42m |
Concrete IntelliJ IDEA plugins that speed up QA automation by performing large-scale code edits and imports are presented. Examples include a PSI-based… | ||
| Back-End Tests Not Evident but a Simple Way to Improve Your Testing | Alexander Chumakin | 34m |
Shows how teams running Selenium + Jenkins on Kubernetes (AWS) can cut cost and time by converting many UI Selenium tests into API tests using Unirest/REST… | ||
| Howdy Microsoft Azure High Availability Web Application | Artem Romanchik | 47m |
An Azure architecture for a high-availability website using the delex-conf.com site as a case study, keeping a legacy app on VMs because it cannot be… | ||
| We’ve Got DevOps — Let’s Fire All Testers | Baruch Sadogursky | 44m |
Argues that heavy automation in a DevOps environment can reduce traditional manual testing roles and accelerate releases, citing Netflix-style tools such as… | ||
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