KubeDay Australia 2024

Explore how domain-driven platform engineering revolutionizes cloud native platforms across various business sectors including BFSI, HCLS, Retail, Public Sector, Automotive, and Manufacturing. This session delves into the core principles of building and customizing platforms tailored to specific industry needs, automating infrastructure operations, and improving self-service workflows for developers. Attendees will gain insights into integrating domain-specific requirements with cloud native technologies, extending platform functionalities to meet unique business challenges, and accelerating software delivery through optimized toolchains and workflows. Learn how domain-driven design principles enable platform engineers, DevOps professionals, and developers to create resilient, scalable, and efficient platforms that drive business innovation and operational excellence.

This session explores the evolution of Kubernetes networking, focusing on the Gateway API as a significant advancement over traditional Ingress resources. We examine how the Gateway API addresses complexities in routing and security for modern microservices, dissecting components like Gateway, GatewayClass, and HTTPRoute. Real-world case studies demonstrate their role in creating scalable, resilient architectures and integrating with service meshes and external APIs. Drawing from our experience developing an open-source API Management platform based on the Gateway API, we share practical insights and challenges encountered during its implementation. This technical deep dive is essential for Kubernetes practitioners aiming to optimize API management with advanced networking capabilities, offering actionable strategies and insights into leveraging the full potential of the Gateway API.

On this talk, you are going to learn about one of the most important technologies used in the container and Kubernetes space. Docker and Kubernetes use containerd as a high-level library to manage containers, images, snapshotters, OCI specs and all integration with container runtimes and tools. A basic understanding of who is running your application is fundamental to give you a better view of how things work behind the scenes in a Kubernetes cluster.

Infrastructure teams all across the world now are racing to implement platform engineering, either building their own in-house custom solutions which mostly will equate it to Internal Developer Portal or using off-the-shelves solution from third-party vendor. But is Platform Engineering really equal to Internal Developer Portal? Does it actually bring benefits to not only the product engineers but the infrastructure team as well? How is it different to DevOps? And SRE? And most importantly, what are the common traps of implementing platform engineering? Through the experience of the past few years building and operating a platform for ~700 engineers, the talk will guide on what kind of things that we wish we would've done better to start so you won't have to go through the same mistakes on your platform team.

From 2018 to 2019, we migrated our SaaS product from a conventional setup of 1800 EC2 instances to a scalable architecture managed within Kubernetes Clusters. This session will discuss the entire journey of our migration endeavour, from the nine-month conversion phase to the ongoing challenges encountered in the post-migration landscape. Topics discussed will be migrating existing customers, mitigating the impacts of noisy neighbours, devising efficient deployment strategies, and fine-tuning resource allocation to align with customer usage patterns. Key Takeaways: - Insights into the rationale behind transitioning from EC2 instances to Kubernetes. - Strategies for provisioning dedicated container instances to each customer while preventing interference from noisy neighbours. - The rationale behind opting for managed services for our database and file storage needs. - Challenges encountered during the transition from hosting on Windows to a Linux-based container environment.

Mindlessly playing whack-a-mole using CVE databases is an inefficient use of a developer's time. And even if you manage to proudly proclaim zero vulnerabilities, it is still possible that your software isn't as secure as you want it to be. The security of your software goes beyond simple compliance. During this session, Melissa will explain and provide real-world examples of the various types of security issues outside of CVEs that developers must be aware of and must consider when developing and deploying cloud-native apps. She will share insights on how to evaluate the plethora of scanning tools available today, and about existing programs and education offered through the Linux Foundation, the OpenSSF, and OWASP. Most importantly, leave this session knowing how to make the most out of "shift-left" security and how to shore up your applications when it comes to resolving dependencies, packaging, and deploying your cloud-native applications.

Backstage is a powerful developer platform, but what if it could do even more? Imagine automating routine tasks, generating code on the fly, and finding answers faster—all within Backstage. This talk dives into how you can leverage large language models like ChatGPT to supercharge developer productivity. You’ll discover how to: 1. Integrate ChatGPT into Backstage using off-the-shelf open-source components. 2. Seamlessly switch between different large language models to suit your needs. 3. Craft prompts that elicit better, more useful responses from the LLM. Join us to see how the latest AI capabilities can transform Backstage, making your development process more efficient and innovative.

A little over four years ago Red Hat and IBM began the process of open-sourcing the Open Cluster Management Project. Today, the technology is productised and 100% open source. This is the story of that journey. We will take you through the history of the project and how it began as an internal solution at IBM built to solve a specific set of problems and then, through the power of collaboration between the community, IBM, and Red Hat, is now a widely used, fully open solution improving the management of Kubernetes clusters in hybrid environments. This is not the story of one product or one project, but rather a reminder of the power, and success, of being open for all. As we stand at the beginning of this new era of AI, we offer this story as a blueprint for open-sourcing AI and everything it entails. The future remains open and this is how we do it!

In the last ten years, we've moved observability from concept to practice. We’ve collected signals, like metrics, logs, tracing and most recently profiling, in consistent ways. Now, we query our systems and pinpoint specific entities under investigation, such as slow requests through a Kubernetes service.

Two years ago, ChatGPT forever changed how we interact with systems. We've moved from learning query languages to asking in plain english. We get context-specific advice and we can even ask the system to write queries for us! Can AI help me figure out what I'm running, what happened in an outage, or even prevent one?

This session shows what's possible through real examples of GenAI prompts. You'll understand why concepts like RAG work to your advantage with private information. You'll learn AI does all the hard work, even if using only cheap logs, in a real system. You’ll leave knowing how AI can help us decouple from experts and move more people into successful root cause analysis.