Data on Kubernetes Community

I will talk about my experiences entering the world of databases and data management after a very different life as a diplomat. I will introduce TerminusDB and it's world history origins. Finally I will situate the project and the roadmap from a k8s perspective.

Prior to joining TerminusDB, Luke worked in the Irish Foreign Ministry for a number of years. He was Ireland’s acting Ambassador to Greece. Luke was also the Head of the Government of Ireland’s Brexit Communications Team and the Government Brexit Spokesperson.

https://go.dok.community/slack

Developers spend a lot of time making their local machine look like a cluster. But why do we do that? Our local machine is not where our code is supposed to run! We built okteto (github.com/okteto/okteto) so we can make our Kubernetes clusters look like our local machine. In this talk, we'll show you how okteto helps you take advantage of all the goodness of Kubernetes and the cloud without having to sacrifice a really fast development and feedback loop.

Ramiro Berrelleza is one of the makers of Okteto. He has spent most of his career (and his free time) building cloud services and developer tools. Before starting Okteto, Ramiro was an Architect at Atlassian and a Software Engineer at Microsoft Azure. Originally from Mexico, he currently lives in San Francisco.

If you're building a Cloud Native app, you should use Kubernetes as part of your development environment, instead of just using it as a deployment target. Don't build, push, redeploy on every change.

Open source observability should not be hard. What companies package as their enterprise offering should be available to anyone who wants to monitor their systems. Opstrace is a complete monitoring platform designed for the end user instead of the expert. It's goal is to be as easy to use and operate as a hosted SaaS provider but within ones own cloud account. This is not only up to 10x more cost-efficient but also allows full control over ones data.

Sebastien Pahl is the co-founder and CEO of Opstrace, an open source alternative to services like Datadog, SignalFx, and others... Previously he has worked at Cloudflare, Mesosphere and Red Hat in San Francisco. Building teams and projects. Co-founded Docker, a Y-Combinator startup. Passionate about large scale platforms, developer tools, automation, open source, distributed systems, cooking and photography.

Observability systems are typically a collection of tools that cover the three pillars of logs, metrics and tracing. These enable skilled engineers to correlate telemetry insights to perform data-driven diagnostics and rectify degraded services. In this talk, I discuss how over the course of three years, I have worked towards removing the built-in gatekeeping that comes with creating monitoring solutions and enabling them to work for an entire organisation. We shine a light on the overlooked developer community that interact with Observability but does not necessarily hail from SRE disciplines. Engaging with anecdotes from my past and illustrating the inherent bar to success that comes with connecting multiple tools together and the context that requires to achieve results. With years of experience working to improve adoption and create consumer-friendly facades for tools such as Grafana, Prometheus and Jaeger; I draw upon my background within large financial institutions and how building engaging and simplified DX can compel and excite engineers to work with observability.

Alex works as both a contributor and end-user of cloud-native technology. He spends his work-time translating tooling, practices and behaviours into generators of strategic value and positive cultural change. His passion is to create positive engineering cultures that enable inclusivity and diversity as a core attribute rather than a vague goal. Enabling engineers to build more reliable services through shared accountability, observability and automation of toil. He has worked at companies such as JPMorgan, American Express, Microsoft, British Sky Broadcasting.

Buy a ready off-the-shelf product, customize an existing open source project, or build your own distribution? When you can't go to the cloud and leverage its powerful features you have to make a choice. On-prem environments need more attention, but they also often can be more cost-effective and are highly coveted by the development and operations teams. In this talk, I will cover some of the most important topics related to building an on-prem Kubernetes platform and I will describe the most popular distributions.

Bio…

Tomasz Cholewa is the co-founder of Cloud Code Labs and he believes that good applications deserve even better environments where they can spread their wings and it's his job to help you create them. To achieve it he uses cloud and containers, but mostly he listens carefully to understand and use the right mix of proper technology and processes around it. His field of expertise is public cloud (AWS), containers and their orchestration engines - OpenShift and Kubernetes.

Going from raw data to machine learning models successfully in companies of all sizes requires more than just an understanding of programming. Teams need to manage their data products lifecycle, their software as well as the data. Data products like machine learning models aren’t created out of thin air. They are built on layers of best practices that ensure the models are using accurate data, they are outputting reliable numbers and they have some method to interact with the outside world. So how do we get there? The purpose of this talk is to discuss the current state of the data lifecycle as it pertains to creating data products. This could be machine learning models, dashboards and data APIs. We will outline the general architecture that helps take data from raw to some form of machine learning model. In addition, we will discuss some of the concepts that are being applied from DevOps as well as being created in MLOps to help better facilitate your data life cycle.

Ben has spent his career focused on all forms of data. He has focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. He has also worked in various industries including transportation, Big Tech, start-ups, insurance, Saas and more. In all of these industries he has helped companies develop their data strategy. Often starting from scratch to develop an end-to-end data solution. Ben privately consults on data science and engineering problems both solo with Seattle Data Guy as well as with a company called Acheron Analytics. He has experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

- Creating successful data products and models requires more than just programming skills - Best practices from DevOps can help improve data science and ML models maintenance and lifecycle

Uma conversa descontraída sobre o futuro de bases de dados como um serviço. Dados em Kubernetes desde o ponto de vista dum DBA. E várias outros assuntos parecidos.

DBA e Profissional de TI com mais de 15 anos trabalhando com sistemas, integrações e bancos de dados. Arquiteto de soluções certificado pela AWS, um profissional certificado pelo banco de dados MariaDB, um especialista certificado pela Red Hat em Ansible Automation, um arquiteto certificado pela Splunk e um especialista certificado pelo MySQL (CMDBA, CMDEV, CMCDBA). Além disso, é líder da equipe de profissionais, sujando as mãos nas tarefas técnicas diárias, trabalhando globalmente com os melhores engenheiros e especialistas de banco de dados do mundo. Também esta gerenciando ambientes #GCP atualmente.

Kubernetes is powerful but can be complex to manage! In this talk, Jim Bugwadia from Nirmata will show how policy managers can help address the complexity via admission controls and dynamic configurations. Jim will introduce Kyverno, a Kubernetes native policy engine and CNCF sandbox project. Jim will then demonstrate how you can use Kyverno to ensure security and best practice compliance for your clusters.

Software engineer with background in distributed systems and scale computing. Founder at Nirmata. Previously worked at Cisco, Pano Logic, Trapeze Networks, Bell Labs, and Motorola.

1. Policy engines are necessary for production-grade Kubernetes 2. Kyverno is an easy to use and powerful policy engine built for Kubernetes 3. You can use Kyverno to secure your clusters and address other configuration management issues

This talk will walk through how to get started contributing to Kubernetes, combatting imposter syndrome, the many other ways you can get started contributing to K8s other than by writing code, and the benefits to joining a community such as K8s.

Rin is a Technical Community Builder at Camunda. They enjoy discussing all things open source, with a particular focus on diversity in tech, improving hiring pipelines in OSS for those that are neurodivergent, and removing accessibility barriers to learning programming.

Rin is also a Member of Kubernetes, a contributor to Spinnaker, involved in the Kubernetes Contributor Experience SIG, and is a Storyteller on the Kubernetes Upstream Marketing Team. When not immersed in all things OSS and cloud-native, they can be found hanging out with their wife and pets, making candles, cooking, or gaming.

Savitha is a Senior Platform Engineer at MathWorks. She has been working with container technologies for the past 5 years and use Kubernetes in her day to day job. She also contributes to the Kubernetes ecosystem, currently involved with release, security, mentoring, and documentation efforts.

How to get started contributing to K8s

For IT decision-makers, this goes above and beyond just keeping infrastructure running and efficient; it is about understanding how your IT budget affects your business, and how well your resources maximize the use of your budget. This makes it critically important that IT teams can more quickly and easily see the totality of their IT costs across the hybrid cloud.

Telco Engineer with an MBA, I've been in different positions in the market, from R&D to sales, and now work as a product manager for a SaaS service offered with Red Hat OpenShift, focused on cost management.

Cost management is a SaaS service that is offered with OpenShift Container Platform at no additional costs.