Ivan Porta
Founder @ Todea
창립자 @ 토데아
Seoul, South Korea
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Ivan Porta is the founder of Todea, a Seoul-based cloud-native engineering consultancy serving private-sector enterprises across Korea, Japan, and APAC. He works with engineering teams on Kubernetes platform readiness, production implementation, and ongoing operations with a focus on platform engineering, observability, GitOps, and zero-trust architecture.
이반 포르타는 한국, 일본, APAC 지역의 민간 기업을 대상으로 클라우드 네이티브 엔지니어링 컨설팅을 제공하는 서울 기반 회사인 Todea(토데아)의 창립자입니다. Kubernetes 플랫폼 준비도 평가, 프로덕션 구축, 운영을 중심으로 엔지니어링 팀과 협업하며, 플랫폼 엔지니어링, 옵저버빌리티, GitOps, 제로 트러스트 아키텍처에 중점을 두고 있습니다.
Area of Expertise
Topics
DRA Allocates, But Who Enforces? Closing the GPU Sharing Gap with HAMi
With Kubernetes v1.36, DRA's partitionable-devices and consumable-capacity features reached beta and are now enabled by default. This means pods can request part of a GPU, and the scheduler will not overcommit a device's capacity. But does this solve the problem of idle GPU usage? Not quite. DRA handles allocation, but not enforcement during runtime. After a pod starts, the Kubernetes API does not stop a process from using more than its assigned share. Enforcing limits is still up to the driver, which today means using MIG's fixed hardware partitions or, if using time-slicing, having almost no enforcement.
In this session, we'll take a practical look at HAMi, the CNCF Incubating GPU virtualization middleware that addresses the enforcement gap in software. We'll trace a shared GPU request from start to finish, covering the device plugin, mutating webhook, scheduler extender, and the in-container library that intercepts CUDA calls to keep workloads within their assigned slice. Finally, we'll also see how HAMi works alongside DRA using its own DRA driver, rather than competing with it.
How to Survive and Thrive in a Multicluster World
Over the last few years, we’ve seen a shift in how organizations operationalize their Kubernetes clusters. Instead of huge, monolithic production clusters, we’re seeing a marked shift to multicluster Kubernetes environments, using entire clusters to isolate development teams or manage workloads.
The multicluster world can bring in dramatic wins for reliability and operational efficiency, but of course it has its challenges! In this talk, we’ll explore this fascinating world, from why the shift is happening, how to effectively use a service mesh and GitOps-style workflows to make multicluster secure, reliable, and observable, the pros and cons of multi-cloud rather than simple multicluster, and how new technologies like federated Services affect the multicluster world. Join us to learn how it all comes together!
Apps Simplified: Use a Mesh from Day 0
Developers working on the next killer cloud-native application always run into the same obstacles at the start: choosing a cloud, tackling the ingress problem, sorting out persistent storage, will the clusters be pets or cattle? What's almost always overlooked is the insecurity and unreliability of communications in the cluster. These concerns get put off for later, and over and over, that causes pain.
Instead, use a service mesh right from the start! You get security, reliability, and observability from the moment you build your first microservice, without needing to put extra work into your application. These things are necessary, but the mesh can handle them for you, and with a little care it can make handling them easy.
In this session, we'll talk about best practices, pitfalls to avoid, and the simplest way to get started. Join us to learn how to make your cloud-native application secure, reliable, and observable from the very beginning.
KCD Kuala Lumpur 2026 Sessionize Event
Engineering the Invisible: Platforms Behind Production Sessionize Event
KubeCon + CloudNativeCon North America 2025 Sessionize Event
KCD Seoul 2025 Sessionize Event
Cloud Native Kuala Lumpur User group Sessionize Event
DevOps Conf 2021 Sessionize Event
Virtual Global Azure - Verona 2021 Sessionize Event
CodeGen 2021 Sessionize Event
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