pycon apac 2013 presentation
http://apac-2013.pycon.jp/ja/program/sessions.html#session-14-1110-rooma0762-en2-ja
videos are available at
http://www.youtube.com/watch?v=Ow-aXpMO8-o
pycon apac 2013 presentation
http://apac-2013.pycon.jp/ja/program/sessions.html#session-14-1110-rooma0762-en2-ja
videos are available at
http://www.youtube.com/watch?v=Ow-aXpMO8-o
2014 OpenStack Summit - Neutron OVS to LinuxBridge MigrationJames Denton
Presentation titled 'Migrating production workloads from OVS to LinuxBridge'. Presented at the Fall 2014 OpenStack summit in Paris, this slide deck introduced the possibility of migrating live workloads from Open vSwitch to LinuxBridge with minimal downtime.
This presentation for a talk at the Linux Tag 2014 has a couple of new Slides compared to earlier presentations that explain some different networking models like Flat, VLAN based, 'SDN Fabric based', etc.
This was a tutorial which Mark McClain and I led at ONUG, Spring 2015. It was well received and serves as a walk through of OpenStack Neutron and it's features and usage.
Open stack networking_101_update_2014-os-meetupsyfauser
This is the latest Update to my OpenStack Networking / Neutron 101 Slides with some more Information and caveats on the new DVR and Gateway HA Features
Interop Tokyo 2014 SDI (Software Defined Infrustructure) ShowCase Seminoar Presentation. The presentation covers Neutron API models (L2/L3 and Advanced Network services), Neutron Icehouse Update and Juno topics.
"One network to rule them all" - OpenStack Summit Austin 2016Phil Estes
Presentation at IBM Client Day by Kyle Mestery and Phil Estes, OpenStack Summit 2016 - Austin, Texas on April 26, 2016. "Open, Scalable and Integrated Networking for Containers and VMs" covering Project Kuryr, Docker's libnetwork, and Neutron & OVS and OVN network stacks
This is my latest OpenStack Networking presentation. I presented it at OSDC 2014. It includes a lot of backup slides with CLI outputs that show how ML2 with the OVS agent creates GRE based overlay networks and logical routers
2014 OpenStack Summit - Neutron OVS to LinuxBridge MigrationJames Denton
Presentation titled 'Migrating production workloads from OVS to LinuxBridge'. Presented at the Fall 2014 OpenStack summit in Paris, this slide deck introduced the possibility of migrating live workloads from Open vSwitch to LinuxBridge with minimal downtime.
This presentation for a talk at the Linux Tag 2014 has a couple of new Slides compared to earlier presentations that explain some different networking models like Flat, VLAN based, 'SDN Fabric based', etc.
This was a tutorial which Mark McClain and I led at ONUG, Spring 2015. It was well received and serves as a walk through of OpenStack Neutron and it's features and usage.
Open stack networking_101_update_2014-os-meetupsyfauser
This is the latest Update to my OpenStack Networking / Neutron 101 Slides with some more Information and caveats on the new DVR and Gateway HA Features
Interop Tokyo 2014 SDI (Software Defined Infrustructure) ShowCase Seminoar Presentation. The presentation covers Neutron API models (L2/L3 and Advanced Network services), Neutron Icehouse Update and Juno topics.
"One network to rule them all" - OpenStack Summit Austin 2016Phil Estes
Presentation at IBM Client Day by Kyle Mestery and Phil Estes, OpenStack Summit 2016 - Austin, Texas on April 26, 2016. "Open, Scalable and Integrated Networking for Containers and VMs" covering Project Kuryr, Docker's libnetwork, and Neutron & OVS and OVN network stacks
This is my latest OpenStack Networking presentation. I presented it at OSDC 2014. It includes a lot of backup slides with CLI outputs that show how ML2 with the OVS agent creates GRE based overlay networks and logical routers
very helpful presentation for students who are dealing with network and operating system have a brief introduction about linux and installation of ubuntu and windows Server.I hope you like it.
Quantum - Virtual networks for Openstacksalv_orlando
An overview of Quantum, the soon-to-be default Openstack network service.
These slides introduce Quantum, its design goals, and discusses the API. It also tries to address how quantum relates to Software Defined Networking (SDN)
Software Defined Networking is seeing a lot of momentum these days. With server virtualization solving the virtual machines problem, and large scale object storage solving the distributed storage challenge, SDN is seen as key in virtual networking.
In this talk we don't try to define SDN but rather dive straight into what in our opinion is the core enabled of SDN: the virtual switch OVS.
OVS can help manage VLAN for guest network isolation, it can re-route any traffic at L2-L4 by keeping forwarding tables controlled by a remote controller (Openfow controller). We show these few OVS capabilities and highlight how they are used in CloudStack and Xen.
Xen Summit presentation of CloudStack and Software Defined Networks. OpenVswitch is the default bridge in Xen and supported in XenServer and Xen Cloud Platform
Trystakc.cn was announced in OpenStack Summit San Diego 2012(www.slideshare.net/openstack/trystack-introfinalpdf
).It was a Non-profit OpenStack community projects.
By Stackers, for stackers.Experience the latest OpenStack features.
Welcoming contributions and feedback, Join the fun !
Slides presented to OpenStack developer summit during the "Quantum Overview" session (note: these are not the slides presented during the conference, these slides are more technical, and less polished)
SDN, Network Virtualization and the Software Defined Data Center – Brad HedlundChef Software, Inc.
IT organizations around the world are transforming data center operations and economics by virtualizing their networks. Much like server virtualization decoupled VMs from the underlying X86 server hardware transforming the operational model of compute, network virtualization decouples software-based virtual networks from the underlying network hardware to enable a new operational model for networking. Deployed non-disruptively on any existing network without change, network virtualization transforms the physical network into a pool of capacity that can be consumed and repurposed on demand.
You will learn how, today, companies like AT&T, NTT, eBay and Rackspace have transformed their operational model and reduced network provisioning time from days/weeks to seconds. You will learn how network virtualization, OpenStack cloud management and Chef automation can be leveraged together and examine the architectural decisions you should be considering now to prepare for this transformation
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
4. What is Ryu?
² Open-sourced network operating system
³ Network operating system
® Programmatic network control interface
® Logically centralized controller for thousands of switches
(OVS, openflow switch)
³ Open source software (Apache v2)
® Fully written in Python
® Project site: http://www.osrg.net/ryu/
² Ryu stands for
³ 流 - Means “flow” in Japanese
³ 龍 - Means “Japanese dragon”, one of water gods
4
5. Overview
Ryu network controllers
RESTful
app
app
app
management API
Programmatic network Administrator
control interface
・ We can implement
network management
applications on top of Logically centralized
the Ryu controller
・ Decouples virtual networks
from the physical network
・Supports OpenFlow 1.0
(including Nicira Extension)
ovs
Openflow switch
ovs
Openflow switch
5
6. Goals
² De facto OSS network operating system
² High quality enough for use in large
production environment
³ Code quality
³ Functionality
³ Usability
² Become the standard network controller of
cloud software (e.g. OpenStack)
³ Ryu plugin is merged into OpenStack Essex
² Default Controller for fedora/debian/
ubuntu
6
7. What does Ryu provide?
² Ryu applications
³ GRE tunneling
³ VLAN support
³ Topology discovery
³ MAC based segregation
² We can use these features with only
commodity hardware
7
9. Integrate with OpenStack
² OpenStack
³ Open source software for building
private and public clouds
² What does Ryu bring to OpenStack?
³ Flat L2 networks regardless of the
underlying physical network
³ Scalable multi-tenant isolations
® Ryu provides tunneling based isolations
® VLAN doesn’t scale larger than 4096
® We don’t need high-end switches
9
10. OpenStack
² Nova: cloud management system
³ Nova compute node
® Physical machine that runs guest VM instances
³ Nova network node
® Physical machine that runs networks gateway to the outside network
² Quantum: network management system
³ Quantum server
® Manages network configuration
® Nova requests quantum-server for network configuration
³ Quantum agent
® It runs on nova compute/network node
³ Quantum plugin
® Plugin for each network technology
® Ryu plugin
10
11. How Ryu works with OpenStack
Quantum-‐node:
somewhere
where
compute/network
can
communicate.
Ryu-‐node:
somewhere
where
Typically
on
network-‐node
compute/network/quantum
can
communicate
Typically
on
network-‐node
Quantum
db:
Ryu
db
(in
memory)
(datapath
id,
Tunnel
ip)
(Tenant
id,
tunnel
id)
(network
uuid,
tunnel
key)
(dpid,
port,
tenant
id,
mac
addr)
REST
API
(dpid,
port,
remote_dpid)
Quantum
server
Ryu
Quantum
DB
OpenFlow
API
access
Vif
driver
Ryu
agent
OVS
linux_net
driver
Ryu
agent
OVS
Create
Create
Tap
port
Tunnel
port
compute-‐node
Network-‐node
13. Ryu demo (GRE tunneling)
ping ping ping ping ping ping
Linux Linux Linux Linux Linux Linux
Qemu/KVM Qemu/KVM Qemu/KVM Qemu/KVM Qemu/KVM Qemu/KVM
ryu Nova
OVS compute OVS Nova OVS Nova
Quantum compute compute
server Quantum
agent
Nova Quantum Quantum
network Openstack Linux agent Linux agent
Linux servers
KVM KVM KVM
GRE tunnel GRE tunnel GRE tunnel
bridge
Linux (phyisical machine) 13
14. Ryu demo (GRE tunneling)
Host
1
Tenant A Tenant A Tenant B Tenant A ID -> 3
VM 1
VM 2
VM 1
Tenant B ID -> 4
GRE tunnel 1-3
Host 3
OVS 1
Tenant A Tenant B Tenant B
VM 4
VM 4
VM 5
GRE tunnel 1-2
OVS 3
Host 2
Tenant A Tenant B Tenant B GRE tunnel 2-3
VM 3
VM 2
VM 3
OVS 2
14
16. Future items
² Integration with Quantum IPAM and L3
API
² Firewall
² Virtual network to physical network, and
vice versa
³ Convert among GRE key, VLAN tag, …
² Distributed controllers
³ No single point of failure
³ Datacenter-wide scalability
16
17. Summary
² Ryu is an open-sourced network operating
system licensed under Apache License v2.
³ Site: http://www.osrg.net/ryu/
³ ML: ryu-devel@lists.sourceforge.net
² Set up Ryu environment with VM images
³ https://github.com/osrg/ryu/wiki/RYU-
OpenStack-environment-VM-image-file-
HOWTO
17
21. OpenStack basics
² OpenStack
³ Nova: cloud management system
³ Quantum: network management system
² Nova compute node
³ Physical machine that runs guest VM instances
² Nova network node
³ Physical machine that runs networks gateway to the outside network
² Quantum server
³ Manages network configuration
³ Nova requests quantum-server for network configuration
² Quantum agent
³ It runs on nova compute/network node
² Quantum plugin
³ Plugin for each network technology
³ Ryu plugin
21
22. GRE tunneling with openstack
l Network Tenant creation
l GRE key assignment
l Gateway creation
l Guest VM instance creation
l Port creation
- tenant ↔ key ↔ port relationship
l Setting flow to the VM port
l Tunnel port management
l Tunnel port creation/deletion
- Track physical compute node
l Setting flow to the tunnel port
23. Quantum
db:
Ryu
db
(in
memory)
Quantum
(Tenant
id,
tunnel
id)
(datapath
id,
Tunnel
ip)
server
(dpid,
port,
tenant
id,
mac
addr)
Network
id(uuid)
creation/deletionq
On
vm
creation:
port
uuid,
mac
address
(dpid,
port,
local_ip,
remote_ip)
Tunnel
id
VM
Port:
(dpid,
Tenant
uuid,
mac
addr)
Tunnel
port:
(dpid,
local_ip,
remote_ip)
Data`low
The
Agent
polls
db:
Ryu
Create
vport-‐gre
(tenant
uuid,
tunnel_id)
(tenant,
Update
port
status
tunnel)
vm
port(dpid,
tenant
uuid,
mac
addr)
Ryu
agent
OVS
Vif
driver
OVS
Vif
driver
vport-‐gre:
Ryu
agent
remote_ip=xxx,
local_ip=yyy,
Vif
driver
creates
vm
port
Gw
port(dpid,
(tenant
uuid,
key=0
Tenant
uuid,
mac
addr)
tunnel_id)
OVS
linux_net
driver
Vif
driver
OVS
Ryu
agent
Ryu
agent
Linux_net
driver
creates
gw
ports
26. Node boot up
Quantum
Ryu
Quantum
db
server
2.
Register
3.
Get
list
of
(dpid,
ipaddress)
5.
register
(dpid,
ip
address)
(and
polling)
(dpid,
port-‐id,
remote_dpid)
4.
Create
vport-‐gre
Ryu
agent
to
ip
address
1.
Get
IP
address
OVS
ryu_v2.ini
Compute/Network-‐node
27. Flow Table Usage
Src
table
Tunnel
out
Local
out
In
port
Table
0
Table
1
Table
2
match
action
match
action
match
action
in_port
set_tunnel
tunnel_id
output(tunnel)
src
mac
goto
table
1
dst
mac
goto
table
2
VM
port
in_port
drop
tunnel_id
goto
table
2
tunnel_id
output(vm)
dst
mac
Tunnel
in_port
goto
table
2
tunnel_id
drop
port
tunnel_id
in_port
drop
VM1
GRE
tunnel
OVS
tunnel
VM2
port
VM
port