Christian Koep

Simplifying edge app delivery: one workflow, thousands of devices

What if you could manage thousands of edge devices with the same declarative GitOps workflow you use for the cloud?

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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Matching moments

Understanding the challenges of edge computing deployments
00:38 MIN

Understanding the challenges of edge computing deployments

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML

Managing edge deployments with GitOps using ArgoCD
29:41 MIN

Managing edge deployments with GitOps using ArgoCD

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML

Onboarding a new edge device using a GitOps workflow
14:12 MIN

Onboarding a new edge device using a GitOps workflow

From Factory Floor to Kubernetes Core: Building an Edge Platform One Step at a Time

Meeting modern application and data platform demands
00:43 MIN

Meeting modern application and data platform demands

Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)

Proposing initial solutions for delivery bottlenecks
05:35 MIN

Proposing initial solutions for delivery bottlenecks

GitOps for the people

Engineering dashboards, customer apps, and over-the-air updates
09:14 MIN

Engineering dashboards, customer apps, and over-the-air updates

Fleet Management - Reinvented

A look at a specific edge compute implementation
38:40 MIN

A look at a specific edge compute implementation

What the Heck is Edge Computing Anyway?

Exploring real-world eBPF projects and use cases
25:18 MIN

Exploring real-world eBPF projects and use cases

An Applied Introduction to eBPF with Go

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