Christian Koep
Simplifying edge app delivery: one workflow, thousands of devices
#1about 2 minutes
Common challenges of deploying applications at the edge
Edge deployments face unique problems like resource constraints, flaky networks, lack of onsite staff, and security risks.
#2about 1 minute
Introducing Flight Control for simplified edge management
Flight Control is a new open-source project that uses a declarative, agent-based model to simplify edge application management.
#3about 2 minutes
Using BootC to build Linux system images like containers
BootC allows you to build and manage immutable Linux system images using familiar container tools and workflows like Dockerfiles.
#4about 2 minutes
Automating secure device onboarding and deployment
Flight Control uses the FDO specification for zero-touch provisioning and signed images to ensure a secure software supply chain.
#5about 1 minute
Preventing configuration drift with a declarative model
A declarative policy model ensures that all devices in a fleet automatically converge to the desired state, eliminating configuration drift.
#6about 2 minutes
Implementing safe atomic updates and automated rollbacks
BootC enables atomic, all-or-nothing updates by rebooting into a new image, with automated health checks and rollbacks for reliability.
#7about 1 minute
Gaining centralized observability for your edge fleet
Integrate edge devices into centralized monitoring systems by exposing metrics, logs, and alerts in standard formats like Prometheus.
#8about 2 minutes
Integrating edge management with enterprise systems
The pluggable architecture of Flight Control allows for seamless integration with existing enterprise authentication, authorization, and configuration systems.
#9about 1 minute
Creating a unified developer experience for the edge
An abstraction layer provides developers with a Kubernetes-like experience for managing edge devices, bridging skill gaps between teams.
#10about 3 minutes
Adopting a unified GitOps workflow for all infrastructure
Manage your entire infrastructure, from Kubernetes workloads to edge devices, declaratively from Git for a consistent and automated workflow.
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From learning to earning
Jobs that call for the skills explored in this talk.
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+2