Veronica Lopez
Member of the Kubernetes Core Team
Veronica is a former physicist turned computer scientist, who currently finds joy building distributed systems with Go and Elixir, and trying to make physics and computers converge.
Past Activities
Code Mesh V
21.25 - 22.05
Panel Discussion: The number of orchestration technologies is too damn high!
Service orchestration technologies are an essential tool to manage the chaos of modern application development and infrastructure scaling, but the choices can feel overwhelming. Where should a team get started on their service orchestration journey? How do they ensure this choice can benefit the team’s use case for years to come? David Schainker will facilitate a panel bringing the expertise of Jani Leppanen, Verónica López, Thomas Depierre, and Brian Hunt with the goal of bringing clarity to the fog of such decision making.
Our panelists will discuss their orchestration technology of choice and why it matters to them. We’ll hear about how to learn the ropes, how these technologies boost developer efficiency, how to staff the team to use this technology, and how to get management on board with leveraging newfound efficiencies.
Code BEAM STO V
18.40 - 19.20
Kubernetes and the Beam
Containers are the ultimate commodity tool for horizontal scalability of modern systems. However, with so many features that overlap with BEAM capabilities, sometimes it's hard to see the real benefit of integrating them into our workflows.
OBJECTIVES
In this talk Veronica will share her experience with containers and Kubernetes, including flexible autoscaling and refined testing & delivery experiences, that make sense within an Elixir environment and its tools.
Code BEAM SF 2019
12.15 - 12.40
Containers & orchestration: The Elixir way
Containers are the ultimate commodity tool for horizontal scalability of modern systems. However, with so many features that overlap with BEAM capabilities, sometimes it's hard to see the real benefit of integrating them into our workflows.
OBJECTIVES
In this talk Veronica will share her experience with containers and Kubernetes, including flexible autoscaling and refined testing & delivery experiences, that make sense within an Elixir environment and its tools.
Code BEAM Lite Amsterdam
16.25 - 17.05
The BEAM in the Cloud Native era
Modern microservice architectures are constantly trying to replicate, with thousands of lines of bash and Go (mostly), features that the BEAM offers out of the box. Although it is said that imitation is the best form of flattery, in this talk we will go through some of the most popular constraints and pitfalls of cloud native architectures that could be more efficiently solved or even dismissed thanks to Elixir (or the BEAM)’s capabilities.
We will discuss the impact on effort and resources that the current approach represents for companies and users, but also including a positive review on how can Elixir coexist and take advantage of the current cloud native tooling catalogue without overlapping or overengineering a project.
OBJECTIVES
The objective is to describe the role that the BEAM currently has in the Cloud Native ecosystem, including useful tooling. But it also highlights the fact that cloud native computing patterns are strongly influenced by the principles of the Erlang Virtual Machine, even when written in other languages.
AUDIENCE
Anyone wwanting to learn more about Cloud Native development.
Code Mesh LDN 2018
11.25 - 12.10
Verifying a distributed system with combinatorial topology
Formal verification of distributed systems is hard and expensive. Modern systems rely on tools like observability, extensive testing, and more recenty, chaos engineering. Understanding the maths behind distributed computing, and being able to express systems in terms of algebraic topology and graph theory brings a new possibility of formal verification and a new approach towards solving complex problems and their interconnections.
OBJECTIVES
Propose a faster way to verify a distributed system, communicating the application of combinatorial topology in real world problems.