Kubernetes

Have you ever wondered how large organizations and high tech unicorns are able to build platforms on Kubernetes to run all kinds of workloads - web, stateless, stateful, batch, and even AI?

Kubernetes’ strengths in dynamic resource scheduling, automated orchestration and vibrant ecosystem of frameworks make it ideal for building AI/ML platforms. This becomes highly scalable when it combines the power of GKE hosted in the Cloud with disposable GPUs and TPUs.

An introduction to Platform Engineering, and related tools. Speaker will share some of its experience in delivering Ops as Platform in an engineering team.

Do you have too many monitoring tools and find yourself moving between different tabs or products when troubleshooting?

With Grafana LGTM stack, we could improve our observability with: Loki-for logs, Grafana - for dashboards and visualization, Tempo - for traces, and Mimir - for metrics.

MySQL High Availability has been around our discussion over years.   It is redundancy and allowing service to be always online.   Kubernetes is one of the hot topics these days.  During the talk, we will share how we can deploy MySQL in Kubernetes.  As standalone pod or deployment or as InnoDB Cluster with Kubernetes.   This is the sneak preview of MySQL Operator for Kubernetes.   Come and join us to share your idea.

The workshop will give a hand-on experience about Kubernetes and also how to manage the Kubernetes cluster in GitOps via Weaveworks FluxCD

By using Ansible for DevOps, we could manage both VM, Docker image provision, Kubernetes and CephFS provision, or even Kubernetes Pod runtime management.

The holy grail of Cloud Native tech is to have zero vendor lock-in. Container makes everything easier. But even with the easiest platform, sometimes you still need to run into problems. In this talk, Phil will share the knowledge about how to diagnose and troubleshoot container (podman, docker) and container platform (Kubernetes, OpenShift).