With the proliferation of sensors and huge volume of data on edge devices, the promise of sending all of this data back to the cloud for AI/ML analytics has far exceeded the capacity of both the network bandwidth and compute resources. However, by moving the workload to edge devices that contain increasingly powerful processing capabilities, this data can be processed locally and efficiently aggregated in the cloud, solving a whole new set of analysis, monitoring, and optimization scenarios. This also necessitates a DevOps approach to distribution that can scale to millions of edge devices, provide continuous and reliable updates, and provide security for a highly distributed network. Learn how to take your DevOps skillset and apply it to a new and challenging domain that is in need of the same human and technology best practices that help global organizations distribute software securely and continuously to self-hosted and cloud environments.

1. Scaling DevOps to the Edge

2. Stephen
Chin
@steveonjava
Head of Devrel @JFrog

3. 3
HOW I PICTURED MYSELF
DURING THE PANDEMIC

4. 4
HOW I ACTUALLY LOOK
DURING THE PANDEMIC

5. 5

6. 6
“There will be between 20.4 billion and
31 billion IoT devices online by 2020.”
Source: Gartner, Statista

7. 7

8. “VW CEO expects software to make
up 90 percent of auto industry
innovation.”
Reuters. Auto.com. From The Economic Times. March 13, 2019

9. ELECTRIFIED, AUTONOMOUS,
SHARED, AND CONNECTED
• Autonomous Driving
• Fleet Management
• Battery Technology
• Sensors
• Navigation / Infotainment
• Automotive AI
• Communications
• Regulation Tracking
• Carbon Footprint Data
• Safety / Security
• Shared Vehicle Enablement

10. CONNECTED VEHICLES BY 2030
$14 Billion Ecosystem
146 Million Connect Vehicles in
the US alone
470 Million Globally
15% of all vehicles sold will be
autonomous
35-50% of all vehicles sold will be
have an Electric Drivetrain
Shared Vehicles increase by 40%

11. THE PHYSICS OF SOFTWARE DISTRIBUTION

12. RAPID
DEVELOPMENT
MODERN DELIVERY
EXACERBATES THE PROBLEM

13. MODERN DELIVERY
EXACERBATES THE PROBLEM
Over
520M
New
Apps/Services
by
2024
IDC: Preparing for the Digital-First Economy: The Hyperscale, Hyperspeed, and Hyperconnected Enterprise, Doc # DR2020_GS2_FG, March 2020.

14. MODERN DELIVERY
EXACERBATES THE PROBLEM
DEPLOYMENT
FREQUENCY
DEPLOYMENT
FREQUENCY
Over
520M
New
Apps/Services
by
2024

15. MODERN DELIVERY
EXACERBATES THE PROBLEM
Over
520M
New
Apps/Services
by
2024
>60%
of enterprises
deploy to Prod
daily or faster
by
2025
IDC: Preparing for the Digital-First Economy: The Hyperscale, Hyperspeed, and Hyperconnected Enterprise, Doc # DR2020_GS2_FG, March 2020.

16. MODERN DELIVERY
EXACERBATES THE PROBLEM
EDGE & INFRA
EXPLOSION
EDGE & INFRA
EXPLOSION
Over
520M
New
Apps/Services
by
2024
>60%
of enterprises
deploy to Prod
daily or faster
by
2025

17. Over
50%
on new Infra.
deployed at the
Edge by
2023
MODERN DELIVERY
EXACERBATES THE PROBLEM
Over
520M
New
Apps/Services
by
2024
>60%
of enterprises
deploy to Prod
daily or faster
by
2025
IDC: Preparing for the Digital-First Economy: The Hyperscale, Hyperspeed, and Hyperconnected Enterprise, Doc # DR2020_GS2_FG, March 2020.

18. Over
50%
on new Infra.
deployed at the
Edge by
2023
MODERN DELIVERY
EXACERBATES THE PROBLEM
Over
520M
New
Apps/Services
by
2024
>60%
of enterprises
deploy to Prod
daily or faster
by
2025
COMPOUNDED
ARTIFACTS

19. MODERN DELIVERY
EXACERBATES THE PROBLEM
Over
520M
New
Apps/Services
by
2024
>60%
of enterprises
deploy to Prod
daily or faster
by
2025
7M
Edge locations
+38B
Things by
2021
Over
50%
on new Infra.
deployed at the
Edge by
2023
IDC: Preparing for the Digital-First Economy: The Hyperscale, Hyperspeed, and Hyperconnected Enterprise, Doc # DR2020_GS2_FG, March 2020.

20. The Liquid Software Company.
DISTRIBUTED ARTIFACTS ARE CONSUMED BY:
INTERNAL REPOSITORIES
DEVELOPERS’ CLIENTS
Developers, partners & customer ecosystems:

21. The Liquid Software Company.
DISTRIBUTED ARTIFACTS ARE CONSUMED BY:
INTERNAL REPOSITORIES
DEVELOPERS’ CLIENTS
Developers, partners & customer ecosystems:
EXTERNAL
REPOSITORIES

22. The Liquid Software Company.
DISTRIBUTED ARTIFACTS ARE CONSUMED BY:
INTERNAL REPOSITORIES
DEVELOPERS’ CLIENTS
Developers, partners & customer ecosystems:
IDC: Preparing for the Digital-First Economy: The Hyperscale, Hyperspeed, and Hyperconnected Enterprise, Doc # DR2020_GS2_FG, March 2020.
>60%
of G2000 will have 3rd
party developer
ecosystem, generating
20% of digital
revenue
by 2023

23. The Liquid Software Company.
DISTRIBUTED ARTIFACTS ARE CONSUMED BY:
INTERNAL REPOSITORIES
DEVELOPERS’ CLIENTS
Developers, partners & customer ecosystems: Machines:
RUNTIME ENVIRONMENTS
INFRASTRUCTURE EDGE
EXTERNAL
REPOSITORIES

24. DISTRIBUTION BOTTLENECKS
TO CONSUMPTION POINTS
SLOW THINGS DOWN FOR GLOBAL...
DEV TEAMS OPERATIONS RUNTIME ENV. END USERS

25. THE RESULT
RELEASE
VELOCITY
INCREASED
RISK
GLOBAL
DISTRIBUTION
AT
SCALE
THE
BUSINESS:
CUSTOMER
ACQUISITION
& RETENTION
DEV
PRODUCTIVITY
CYCLE TIME

26. The Liquid Software Company.
DISTRIBUTION ACCELERATION OPTIONS
Distribution via
Edges
Peer-To-Peer
Download
CDN
Distribution

27. AUTOMOTIVE CLOUD DISTRIBUTION
DISTRIBUTION
Hybrid
ARTIFACTORY EDGE
CDN
Managed
ARTIFACTORY EDGE
Development

28. P2P TYPICAL TOPOLOGY
LB/RevProxy
MAIN DATA CENTER K8s CLUSTER - PRODUCTION
K8S Nodes
TRACKER
ARTIFACTORY EDGE
DISTRIBUTION
Immutable
Release Bundles
& Remote Cache
Security and
Compliance
Metadata
Release
Bundle
Peer
Client
Peer
Client
Peer
Client
Peer
Client
Peer
Client

29. CONSTANT RESPONSE TIME
CONCURRENT DOWNLOADS
RESPONSETIME

30. P2P BURST DOWNLOAD
Kubernetes Cluster with:
▪ JFrog Artifactory Edge Node
▪ Pods with Docker client
▪ JFrog P2P Peer per Pod
▪ Docker image of 85GB

31. 24/7 Dedicated Support +
DevOps Acceleration Service Arm
THE JFROG PLATFORM
BUILD TEST RELEASE DEPLOY
Continuously integrate
automate & deploy
Clear security and
compliance issues
Distribute to
production site
Control and monitor
the flow
On Premises
& Multicloud
Store and
manage all
types of
packages
ACCESS
Authentication, ACLs
SSO, Access Tokens

32. The Liquid Software Company.
BOTTOM LINE
FASTER DOWNLOADS SCALABLE REDUCED LOAD PROVEN
Improved developer
productivity, faster
time to production,
and faster distribution
internally / externally
Manage spikes of
concurrent downloads
and WW distribution
Improved network
utilization and
resiliency
Built with Enterprise in
mind and tight
integration with the
JFrog Platform

33. THANK YOU!