tldr - powered by Generative AI

• Cilium is a popular networking and security solution for Kubernetes that uses eBPF and is becoming the CNI of choice in the industry.
• Cilium provides high-performance load balancing, network policy, transparent encryption, and the ability to integrate multiple Kubernetes clusters and external workloads.
• Hubble is the observability platform that gives visibility into individual network flows, aggregated metrics, service maps, and the ability to export all this metric information to various destinations.
• Tetragon is the security observability subproject in Cilium that uses eBPF to instrument the kernel and give insight into security-relevant events.
• Cilium is being adopted by all major cloud providers, including AWS, Azure, and Google Cloud.
• The presentation includes real-world use cases of Cilium from Isovalent, Grafana Labs, and Eficode.
• Grafana Labs has developed a new Grafana app that allows users to get all the power of Hubble directly from within Grafana.

tldr - powered by Generative AI

• Kubernetes networking is crucial for performance-intensive workloads in HPC and AI
• Different CNIs offer various architectures and technologies that claim performance advantages
• Network throughput, latency, CPU offload capabilities, and GPU technologies are essential considerations for these workloads
• RDMA or remote direct memory access is a transport service that supports memory read and write semantics, kernel bypass, and hardware offloads
• SDN acceleration offloads enable the highest performance, supporting the use of RDMA protocols
• Calico performed particularly well in the test case for genome sequencing
• With hardware-accelerated networking, performance of Kubernetes on bare metal hosts and in openstack VMS can be almost indistinguishable from performance on bare metal

tldr - powered by Generative AI

• Cloud Native is an evolution of how to better meet application developers needs in a world that has moved beyond the mental model of the underlying infrastructure
• Cloud Native Networking is vast, encompassing various projects such as CNI, CoreDNS, Envoy, gRPC, Linkerd, NATs, Network Service Mesh, BFE, Contour, Kuma, Service Mesh Interface, Chaos Mesh, Open Service Mesh, Emissary, k8gb, Service Mesh Performance, Submariner, Cilium, Meshery, Fab Edge, Istio, Nighthawk, Aeraki, and FabEdge
• Minimal toil is one of the central maxims of Cloud Native, which includes the cognitive toil involved in understanding what to do
• CNI is the SPI that plugins must meet in order to provide networking to a Kubernetes cluster
• The base layer of what you get in intra-cluster networking is every pod can reach every other pod via L3 VIP
• Isolation in Kubernetes is typically done with Network policies, which allow you to specify via selection certain pods that are going to be isolated
• Services deal with service discovery and routing in the most basic sense

tldr - powered by Generative AI

• Composability of software in the cloud native ecosystem compounds ideas, people, tools, and companies to create a virtuous life cycle
• Existing community momentum and tools can be reused to avoid making the same investment twice
• The ecosystem allows for innovation to move up the stack to tackle new challenges and solve new issues
• The talk provides examples of how the ecosystem compounds ideas, people, tools, and companies
• The talk emphasizes the importance of trust in the community and the value of a diverse contributor base

tldr - powered by Generative AI

• CNI is the container networking interface that provides an API for networking plugins to manipulate pod sandboxes
• Debugging CNI plugins in production requires a toolbox of tools and techniques
• CNI tool is a useful tool for debugging CNI plugins
• CNI 2.0 needs to address the need for better debugging capabilities

tldr - powered by Generative AI

• Enterprises are shifting their business innovation strategies to embrace the concept of being digitally aware
• Application architectures are shifting towards a more disaggregated model that offers greater agility, supports elasticity, and provides greater control for software quality assurance
• DPUs can be used to offload core Kubernetes software infrastructure components from the main CPU onto the processing units
• DPUs can also offload network packet tracing functionality and service mesh components
• Cloud-native infrastructure is required to support the optimal placement of workload, ensure performance, security, manageability, and accessibility to data
• DPUs can help enable greater optimization of cloud-native application architecture while ensuring the usage of CPU cores and memory is maximized to support applications