Platforms The cloud is going serverless, but K8s is the infrastructure on-prem and on-edge App developers need to know and code for each infrastructure they deploy to Kubernetes for applications "[Kubernetes] even for experienced people." – Software Architect @ Crisp Kubernetes focuses on container infrastructure, not on applications Application developers need to be experts in Kubernetes APIs Production developers, application operators, and infrastructure operators Separation of concerns Focuses on developers and applications, not on container infrastructure Application focused Application focused

Native Application Platforms Kubernetes for applications Kubernetes focuses on container infrastructure, not on applications Application developers need to be experts in Kubernetes APIs Production Cloud + Edge Separation of concerns Application focused Application focused Container infrastructure Open Application Model Service Job Namespace Secret Volume Endpoint ConfigMap VolumeAttach powerful and extensible operational traits consistently across platforms and environments Infrastructure operators can configure their environments to satisfy any unique operating requirements Separation

runtime and a set of building blocks that allow users to move infrastructure-related tasks out of their applications into cloud infrastructure. A benefit of this is that users can spend time and resources resources on the value-proposition of their applications without having to develop infrastructure. Users can deploy Dapr either in 1) self-hosted mode directly on a virtual machine or 2) on Kubernetes. When with a set of built-in components - a form of cloud-native primitives - that each enables common infrastructure-related functionality necessary when building microservice-based applications. The user application

Zero-Trust Concepts Zero-trust concepts have emerged from the rapid migration to Cloud-based infrastructure. The concept of zero-trust does not solely rely on establishing network layer security models security-enhancing controls. As such, it is supposed to be integrated in all layers of a modern infrastructure. To get a good baseline and grasp the overall concept, Google has released some of

for any of its sub projects, and the goal of this fuzzing audit was to build the fundamental infrastructure and improve the fuzzing efforts in a continuous manner. Ada Logics did that by first integrating