
Explore the broader vision of serverless computing beyond Functions-as-a-Service, focusing on the Open Application Model for infrastructure-agnostic, cloud-native application development.

Explore Kubernetes security through a multi-layered attack scenario, including update poisoning, service interception, and cloud API exploitation. Learn defensive strategies using OPA/Gatekeeper.

Explore the 3factor app pattern for serverless development, combining realtime GraphQL and event-driven programming to build scalable, reliable applications with infinite scalability and disaster recovery capabilities.

Explore PARSEC, an open-source security project enabling key management and cryptographic services across platforms. Learn its vision, architecture, and developer-friendly approach to security.

Explore patterns for building stateful serverless apps, addressing data access, persistence, and sharing across executions. Learn solutions for integrating serverless with existing applications.

Explore serverless ML inference with KFServing, addressing deployment challenges, auto-scaling, and GPU utilization. Learn about real-world applications and future prospects in machine learning production environments.

Explore new security paradigms for the 2020s, focusing on distributed, immutable, and ephemeral systems to combat irreversible attacks and enhance resilience in cloud-native environments.

Optimizing cloud-native security operations: Strategies for efficient log collection, modern tooling, and rapid response in transitioning from on-premises to cloud environments.

Explore WebAssembly as a runtime for serverless functions, comparing it to Docker and showcasing its portability and speed using OpenFaaS for deployment and management.

Explore tools for implementing Kubernetes security measures retrospectively, including kube-psp-advisor, Inspektor Gadget, and oci-seccomp-bpf-hook, to enhance pod security in existing deployments.

Explore design strategies for low-latency serverless applications, including function co-location, process-level isolation, and persistent functions for efficient state management across invocations.

Explore OpenTelemetry auto-instrumentation architecture, OSS library integrations, and data export configurations. Learn about challenges and shared integrations between auto and manual instrumentation.

Explore distributed execution of DL/ML jobs in Kubernetes, covering gang scheduling, GPU acceleration, and high-speed networking for improved performance and scalability.

Explore the TARS Foundation's open-source ecosystem for massive microservices, revolutionizing cloud-native development with innovative solutions and scalable architectures.

Explore a unified runtime infrastructure for containers and VMs in Kubernetes, addressing challenges in managing multiple runtimes and handling operational differences between workload types.

Explore Kubernetes SIG Storage's latest projects, updates, and future plans for efficient container storage management, including volume expansion, snapshots, capacity tracking, and more.

Explore Virtual Kubelet and KIP for Nodeless Kubernetes, enabling flexible compute types and cloud bursting. Learn about the provider framework and see a demo of this powerful combination in action.

Explore a universal central IPAM solution for managing complex network topologies in Kubernetes, focusing on telecom industry needs and addressing multi-interface pods with fixed IP requirements.

Explore multi-cloud Kubernetes application management, covering image distribution, cross-cluster deployment, traffic control, and maintaining consistency in complex environments.

Explore Alibaba's approach to managing hybrid workloads in Kubernetes, focusing on high resource utilization and SLO achievement through real-time metrics, consumption pattern estimation, and opportunistic scheduling.

Learn how to implement a scalable, secure image building service using Tekton for enterprise-level applications, automating vulnerability fixes and streamlining the development process.