Build Stuff'16 Lithuania

Distributed Cluster Schedulers are becoming increasingly popular. They present a good abstraction for running workloads at a “warehouse-scale” on the public and private clouds by decoupling workload from compute, network and storage resources.

In this talk, we will talk about the operational challenges of running a Cluster Scheduler to serve highly available services across multiple geographies and in a heterogeneous runtime environment. We will go into details of the needs from a cluster scheduler with respect to managing multiple runtime/virtualization platforms, provide observability, running maintenance on hardware and software, etc.

The audience is going to be introduced to Nomad, a globally aware, distributed scheduler designed to handle any type of workload on any operating system. We will talk how Nomad solves the problems described above

Traditionally logging has fallen into one of three camps: don't do it, use an SaaS provider such as Splunk, or expend large amounts of time and energy configuring on-premise logging stacks. The maturity of cloud platform service offerings now means that you can have the flexibility of running your own logging stack without the headache and costs of managing individual components.
In this talk, Paul will demonstrate how the use of managed services like ElasticSearch, AWS Kinesis, and various log-shipping agents can build a scalable, easy-to-manage and cheap-to-run logging infrastructure that will ultimately save your company $$$.

Moving to a distributed system will solve all your problems and you will be in developer heaven. Right? Not exactly, having hundreds of services doing different things means it's increasingly difficult knowing where exactly production issues are hiding. In this talk Sam Elamin will relate his real life experience working on a distributed system dealing with £100,000 worth of transactions every hour. Sam will cover monitoring and how to develop your features based on how your customers use your platform and, most importantly, business metrics. Sam will cover how to implement metrics in your application and setting up dashboards to gaining visibility into what is happening in your production system right now. We'll also go through some helpful techniques to help you convince your domain experts that gaining this insight is invaluable to keeping your competitive advantage. As an extra treat come and see how JUSTEAT time travels in production, using open source software that can be set up in a matter of days!

How does Uber, one of the fastest growing companies in history, keep millions of rides going without a fault? This talk covers some of the approaches Uber takes to ensure our systems are always reliable no matter what is going on.

We look for the easy answers, rarely paying attention to the hidden costs of our decisions like total cost of ownership. Our operating systems, scripting languages, shells, JavaScript and network utilities give yes al that we need. We'll look at how to bootstrap without using issue trackers, continuous integration tools and specification libraries. This is a peek into an upcoming book on the subject that I'm writing.

Applications in the movies deploy and scale with the touch of a button, with no concern for cloud infrastructure or even CPU architecture. Is that really science fiction, or have we been doing it wrong all along? What can we learn from sci-fi movies—and the sources that inspired them—about building applications today? Is it possible to build apps that deploy, scale, and self-heal on any infrastructure?

Docker started small and got big in really short time. Believe it or not, you can learn to build your version of it too, within the duration of a conference talk! In the talk, we will assemble and run a Docker-like container with only standard command-line tools found in modern Linux distributions. First half of the presentation will cover the facilities Linux provides for Docker to build upon: cgroups, pid and network namespaces, overlay file systems. During the second half we will put theory to practice in a terminal session. At the end of the talk we will not only be armed with knowledge how to build an isolated container, but also have an actual container running. After the talk, you will have a good insight how Docker works, and understand how you could use its building blocks to build something that perfectly matches your environment. You’ll get most out of this session if you are comfortable in Linux terminal, for instance, configuring networking from command-line. Knowledge about Pid namespaces, cgroups or overlay filesystems is not required. You will learn it all that during the talk.

Continuous Delivery and DevOps are practices that will help enhance
the quality of an organisation and it's products. However it's
unfortunate that both have also become practices that consultants will
try and sell whilst telling us we can implement a check list to
achieve it. This couldn't be further from the truth.

Did you know that you can practice continuous delivery regardless of
being a startup or an enterprise? Did you know that continuous
delivery can still be achieved no matter if you work on Windows or
Linux?

This session will focus on the most common misconceptions that exist
within continuous delivery and devops eco-system right now. The
session will given battle hardened stories about why these
misconceptions are bad practice and suggest some alternatives that may
help your journey

Lessons learned from managing a 17 year old intern, which help to prepare to take over the SRE Lead position while Vinted undergoes pathetic uptime times, layoffs, cash-saving decisions and a business pivot.

This might or might not be a story with a happy ending.