Build Stuff'16 Lithuania

These days "full-stack development" means more than simply coding stuff ranging from pretty UI down to DB access. Sometimes it's required to be able set up set of staging/production boxes, automate deployments and then maintain this infrastructure setup over time. Let me show you Ansible and start setting up your infrastructure like a pro. This talk will be based on my experience from real life project, where we used Ansible to build multi-server cloud infrastructure from scratch and set up production-like deployment for simple app.

Before the turn of the century, much ado was made about CASE (Computer Aided Software Engineering) tools and how they would simplify the process of delivering solutions. With the advent of Agile development processes, CASE tools were eschewed as being associated with BDUF. CASE Tools, including UML and E-R Designers, were relegated to the halls of academia and for illustrations in books on design patterns. Along with eschewing the tools of waterfall development, the industry also forgot some of the lessons learned by waterfall practitioners regarding good object modeling.

 

In this session, Michael Brown will serve as an archaeologist of sorts, giving participants a tour of approaches to leverage UML as a tool for discovery, verification, and rapid enhancement of a Domain Driven business solution.

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.

The Wix platform hosts over 80 million websites, with billions of visitors per day, all built using the Wix Editor. In this talk I will cover how we measure performance, and the techniques and methodologies we use to improve it. I'll examine the tools and frameworks that we use, and discuss what worked for us and what didn't.

The Linux kernel has multiple "tracers" built-in, with various degrees of support for aggregation, dynamic probes, parameter processing, filtering, histograms, and other features. Starting from the venerable ftrace, introduced in kernel 2.6, all the way through eBPF, which is still under development, there are many options to choose from when you need to statically instrument your software with probes, or diagnose issues in the field using the system's dynamic probes. Modern tools include SystemTap, SysDig, ktap, perf, bcc, and others. In this talk, we will begin by reviewing the modern tracing landscape -- ftrace, perf_events, kprobes, uprobes, eBPF -- and what insight into system activity these tools can offer. Then, we will look at specific examples of using tracing tools for diagnostics: tracing a memory leak using low-overhead kmalloc/kfree instrumentation, diagnosing a CPU caching issue using perf stat, probing network and block I/O latency distributions under load, or merely snooping user activities by capturing terminal input and output.