Recently there was a blog post on Linkedin talking about the skills required to be a successful network engineer in the future. While the skills listed were all re …

Distributed systems are not strictly an engineering problem. Tyler Treat looks at distributed systems through the lens of user experience, observing how architecture, design patterns, and business problems all coalesce into UX. Tyler also shares system design anti-patterns and alternative patterns for building reliable and scalable systems with respect to business outcomes.

Wenbo Zhu illustrates the key architectural properties and underlying technologies to create and deploy a real-time, stateful application on top of the completely stateless serverless architecture.

Container Orchestrator Kubernetes utilizes Container Runtime to provide low-level pod/container management and operations at the node level. The capabilities & performance of these Container runtimes …

Matt Rogish explains how NTSB investigations of air disasters have dramatically improved flight safety and applies lessons learned in disaster recovery and analysis, teamwork, task saturation, and systems design to modern software application and infrastructure architecture at scale to achieve higher availability, reduced errors, and more scalable systems.

How to deploy application services with container and clusters , baked in with fault tolerance, automated recovery. Manage multiple environments using a single pane of glass and enable visibility to d …

In this talk, we will be introducing the Rook project to attendees of all levels and experience. Rook is an open source cloud-native storage orchestrator for Kubernetes, providing the platform, framew …

LinkedIn runs more than 1,800+ Kafka brokers that deliver more than two trillion messages a day. Running Kafka at such a scale makes automated operations a necessity. Jiangjie Qin shares lessons learned from operating Kafka at scale with minimum human intervention.

Companies and their customers continue to generate and store data with rapid growth. Kubernetes with local persistent storage enables high-performance workloads and scale-out storage software services …

Georgios Gkekas shares ING's advanced analytics journey to promote modern machine and deep learning techniques internally through a central, best-of-breed technical platform tailored for data science activities. The platform offers only the necessary automated tools to replace the tedious, repetitive, and error-prone steps in a typical data science pipeline.

Chaos engineering leverages carefully designed failure injection tests and the distributed automation inherent in cloud deployments to prove that there is enough margin to absorb failures in production. Adrian Cockcroft outlines the overall architectural principles of chaos engineering and shares methods engineers can use to exercise failure modes in safety and business-critical systems.