DevOps Pro Vilnius 2016
who it's for
devops engineers, platform engineers, site reliability engineers, operations managers, software engineers, system administrators, quality engineers, engineering managers
topics
microservices in production; declarative systems design; test automation for CI/CD; cloud platform operations; Data Center Operating System (Mesos); application reliability metrics; self healing systems; Rultor deployment automation; infrastructure as code patterns; logging and monitoring practices; configuration code quality; frequent release strategies
| title | author | length |
|---|---|---|
| Aftermovie | 02m | |
A brisk aftermovie montage shows conference life rather than technical depth: quick cuts of sessions, hands-on 4 workshops, hallway conversations, and demo… | ||
| DevOps is the answer! What was the question again? | Stephen Thair | 36m |
Claims concrete lessons from DevOpsGuys about getting budget and avoiding “doing DevOps” rituals, backed by customer projects that iterate in weeks not six to… | ||
| How the hell do I run my microservices in production, and will it scale? | Daniël van Gils | 28m |
Step-by-step checklist for getting container microservices into production: how to build minimal, immutable Docker images (lock runtimes, drop build deps, run… | ||
| The Field Guide to Understanding Declarative Systems | Povilas Daukintis | 34m |
Compares imperative versus declarative methods and claims configuration management succeeds when it delivers idempotence and convergence not just prettier… | ||
| Using Test Automation for Continuous Integration, Delivery and Quality | Brandon Weaver | 34m |
Describes how test automation plugs into build automation and environments so CI/CD actually blocks bad code: Jenkins TeamCity Bamboo TFS drive standardized… | ||
| Accelerating innovation through AWS Cloud technology | James Letley, Javid Khan | 38m |
Explains a concrete AWS pipeline: Git/GitLab or CodeCommit triggers Jenkins or CodePipeline builds, artifacts to S3, deployments via Elastic Beanstalk or… | ||
| How we learned to love the Data Center Operating System | Saulius Valatka | 39m |
Runs production services as Docker on Mesos at real scale — handling about 1 million bid requests/sec and large daily data ingest — using Marathon for… | ||
| Avoiding software fails: few metrics to improve application reliability | Vladislav Samoylenko | 30m |
Focuses on concrete failure modes and measurable fixes: browser pages with 434 resources 20 MB that kill mobile loads, database storms with 25,000 DB calls per… | ||
| Self-Healing Systems | Viktor Farcic | 40m |
Claim: build microservices-based systems that self-heal by detecting faults, reacting automatically and predicting trouble from history. Concrete steps: five… | ||
| System Center Orchestrator Simplified | Vladislavas Petkevič, Olegas Domanskis | 41m |
Shows concrete automation built with Microsoft System Center Orchestrator by walking through step-by-step creation of runbooks and listing the exact tasks and… | ||
| DevOps – when doing the right thing hurts! | Ian Watson | 43m |
Company moves to automation and faster delivery and discovers it simply surfaces constraints: Octopus and PowerShell automate deployments and enable blue/green… | ||
| Deployment Scripts Are Dead, Meet Rultor | Yegor Bugayenko | 43m |
Claims a free hosted GitHub chatbot called Rultor.com replaces local bash deploys by running repository-embedded deployment scripts inside configurable Docker… | ||
| From Monolith to Docker Distributed Applications | Carlos Sanchez | 40m |
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a… | ||
| Patterns for infrastructure-as-code | Andrey Adamovich | 44m |
One of the ways to describe software architecture is to express its configuration in executable and therefore repeatable form – infrastructure as code. Tools… | ||
| Practical Application Logging and Monitoring | Laurynas Tretrjakovas | 43m |
Centralized logging using the ELK stack with Logstash (later replaced by a tiny in‑house processor), file shippers (beaver/filebeat), and Kibana dashboards… | ||
| A journey to micro-services on Mesos | Steven Gonzales | 48m |
Starts with a legacy VM monolith and ends with a Mesos platform running Docker containers orchestrated by Mesos+Marathon and service discovery via Consul… | ||
| Metrics at scale | Mantas Klasavičius | 45m |
Metrics @UBER is a first class citizen. My talk will cover metrics collection, presentation and alerting based on metrics. It’s all about how we deal with the… | ||
| Opening Open-Source with DevOps | Tim Perry | 40m |
DevOps has made great strides across the software world, but not yet in open-source. Open-source has never been the most accessible part of software… | ||
| Keep Calm and DevOps in an Enterprise | Simonas Kareiva | 28m |
Argues that enterprises can introduce bleeding-edge tooling without breaking governance by running a 6-week pilot that standardizes on Docker containers and a… | ||
| Does your configuration code smell? | Tushar Sharma | 36m |
The wide adoption of configuration management and the increasing size and complexity of the associated code, prompt for assessing, maintaining, and improving… | ||
| Cloud Platform for DevOps Professionals | Javier Ramirez | 46m |
As you know the Google Cloud Platform has a comprehensive offer of services, so I will provide an overview of which of those are more interesting for DevOps. I… | ||
| Frequent Releases & Major Changes | Mindaugas Mozūras | 41m |
At Vinted, we’re big fans of continuous deployment. Our code is deployed hundreds of times per day into production. While offering a lot of advantages… | ||
| Should I Build or Should I Not | Alex Fernandez | 41m |
A discussion about pros and cons of building your own DevOps infrastructure, versus using off-the-shelf products. | ||
| How to deal with the social side of computing life | Jos Poortvliet | 43m |
Argues that engineers reliably misjudge social behavior with concrete experiments: subconscious cues steer choices (favorite food and waiting-room studies)… | ||
| nothing matches | ||