DelEx Conf 2018
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.
who it's for
test automation engineers, devops engineers, platform engineers, qa leads, site reliability engineers, mobile qa engineers, engineering managers
topics
Kubernetes cluster scaling; Concourse CI pipelines; Azure infrastructure as code; Raspberry Pi CI farms; OTA firmware updates; test isolation techniques; behaviour-driven automation; machine learning for test automation; Allure 2 reporting integration; dockerized mobile device farms; multistage K8s environments; testing in production
| title | author | length |
|---|---|---|
| Wild Microservices and Imaginary DevOps | Kirill Tolkachev | 36m |
A large organization built a one-click project generator that scaffolds a new service repository, Jenkins CI, Bitbucket hooks, Jira ticket, initial database… | ||
| Infrastructure as Code in Azure and Azure Stack | Alexander Shapoval | 40m |
Describes using Azure Resource Manager JSON ARM templates to declare and deploy entire infrastructure—VMs, networks, load balancers and services—from a single… | ||
| DevOps at a Multi-vendor Enterprise | Victor Vedmich | 35m |
A multi-vendor enterprise program with 80–120 people across locations and five test/dev environments runs on an 8‑week release train; the talk describes… | ||
| Automating Experiments with a Kotlin DSL | Alexander Tarasov | 39m |
Odnoklassniki described a Kotlin-based DSL, console runner and Docker packaging used to automate experiment preparation and launch, replacing manual steps and… | ||
| BDD Automation Puzzlers | Anna Chernyshova | 38m |
Covers practical pitfalls and fixes in BDD test automation with JBehave and Cucumber: shows that running JBehave under TestNG needs a custom TestNG/JUnit… | ||
| Allure 2 Lifecycle: free integration with tools | Nick Butcher | 23m |
When you use Allure, you work with the standard annotations @Title, @Feature, @Story, @Step, @Attachment. And in order to build a full-fledged report, you need… | ||
| Game Development Infrastructure | Anton Tsitlionok | 35m |
Describes a game studio’s infrastructure for storing and building versioned code and terabytes of binary art: they moved from Mercurial to git lfs to avoid… | ||
| Continuous Delivery with Concourse CI | Andrei Krasnitski | 44m |
Concourse CI is presented as a replacement for Jenkins for Cloud Foundry CI/CD, running each build inside Docker-based workers and keeping pipeline definitions… | ||
| SOA Approach in Automation Development | Nikalai Stakanov | 33m |
Describes applying an SOA pattern to automation by splitting functionality into service domains and inserting a service broker to decouple teams. Implements… | ||
| Dockerization of a Real Mobile Device Farm and Scalable QA Automation Ecosystem | Alexei Khursevich | 35m |
A private mobile cloud built around Docker uses a container-per-device approach that packages ADB, Appium and a minimal Android stack so each real device boots… | ||
| DevOps and Kubernetes in VSTS on Azure and Beyond | Stas Pavlov | 40m |
A demonstration of a complete CI/CD pipeline that builds a .NET Core backend and a TypeScript frontend into Docker images, pushes them to Azure Container… | ||
| Continuous Integration in IoT world - "Mission Impossible" or "A last hope"? | Dawid Pacia | 43m |
A concrete CI pipeline for constrained IoT devices emerges: a local farm of Raspberry Pi flashing rigs plus cameras and mobile devices, orchestration in… | ||
| Quest for Adequate Autotest Coverage | Alexander Pushkarev | 27m |
The talk describes a testing crisis where thousands of brittle UI tests give only ~50% code coverage, test runs take four hours, and flakiness is ~16–20%; the… | ||
| Running Tests in Continuous Integration | Sergey Pak | 45m |
How to run tests reliably in Continuous Integration: use containerized or templated build agents and spin short-lived agents for flaky system-state tests… | ||
| Automated Tests in World of Tanks: bots-net to Test Quality | Alexander Shukov | 45m |
A bot-net testing framework for World of Tanks embeds Python into the game client, proxies game objects, and runs many headless clients called botokse to… | ||
| Honest, Simple and Fast Isolation Tests | Alexander Chumakin | 44m |
Describes a testing system that runs 50,000 isolation tests in about 8 minutes across ~100 microservices by building Docker images, running binaries, spinning… | ||
| How to Test Artificial Intelligence and Machine Learning Solutions? | Igor Khrol | 51m |
Demonstrates testing a Titanic ML classifier built with Python and pandas: trains logistic regression, improves ROC AUC from 0.77 to 0.85 via feature… | ||
| Funny Stories and Anti-Patterns from the DevOps Landscape | Mikalai Alimenkou | 55m |
This talk examines concrete DevOps anti‑patterns and real postmortems, arguing that creating a separate DevOps department or hiring a single “DevOps” person… | ||
| The Applicability of Machine Learning and Neural Networks in Test Automation | Dzmitry Humianiuk | 40m |
The talk reviews real-world use of machine learning and neural networks in test automation, assessing market claims versus practical results. It covers… | ||
| Devops and Test Automation: Myths and Tips | Baris Sarialioglu | 40m |
Nowadays, many organizations are challenging agile and focus more on DevOps as their brand new ALM methodology. Devops can be regarded as a next generation… | ||
| DevOps @ Scale — Greek Tragedy in Three Acts | Baruch Sadogursky, Leonid Igolnik | 58m |
A concrete scaling timeline for a DevOps team growing from 3 to 100 engineers, showing three stages: reactive firefighting, adding monitoring and processes… | ||
| Test Infrastructure on Steroids | Sergey Pirogov | 38m |
Creates on-demand feature-branch test stacks using Rancher, deploys browser clusters with Selenoid, and records video for failed tests. Infrastructure is… | ||
| Themes, styles & more: from zero to hero | Cyril Mottier | 49m |
Deep dive into Android theming with concrete takeaways: shows how aapt2 vs aapt affects attribute compilation, lists exact attribute format types (enum flags… | ||
| Testing on Prod (Without Pain and Humiliation) | Aliaksei Boole | 38m |
Covers methods and approaches for testing in production, including use of metrics, alerting, and logs, and how DevOps practices and team culture (referred to… | ||
| Creating Multistage Development Environments with a K8s Cluster of 8000 Pods and Growing | Oleg Sabov | 34m |
A multistage development platform for about 100 microservices running on an AWS Kubernetes cluster sized for 8,000+ pods, built using kops and Terraform. The… | ||
| Data-Driven DevOps | Baruch Sadogursky, Leonid Igolnik | 42m |
Presents a data-driven DevOps approach using three concrete metrics to start immediately: deployment frequency, pipeline lead time, and incident trend… | ||
| nothing matches | ||