Network Virtualization with MidoNet in CloudStack

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Network Virtualization with MidoNet in CloudStack Presented at CloudStack Collaboration Conference, June 2013 in Santa Clara, by Yoshi Tamura and Dave Cahill

Technology Economy & Finance

Network Virtualization with
MidoNet in CloudStack
YOSHI TAMURA
Midokura
Jun 23, 2013

Copyright ©2012 Midokura All rights reserved
Hello CloudStack community!
2
YOSHI TAMURA
Product Manager, Midokura

Copyright ©2012 Midokura All rights reserved
Agenda
3
 Midokura’s focus
 Challenges in IaaS Cloud Network
 Introduction to MidoNet
 MidoNet and CloudStack (Dave Cahill)

Copyright ©2012 Midokura All rights reserved
IaaS Cloud – Elasticity and Automation
4
Photo Credit: skarpi - www.skarpi.is via Compfight cc

Copyright ©2012 Midokura All rights reserved
Midokura’s Focus
5
Photo Credit: dampoint via Compfight cc

Copyright ©2012 Midokura All rights reserved
Let’s build a network for IaaS Cloud !
6
Flat L2 network!
It’s simple!

7
Photo Credit: Studio Toveraap via Compfight cc

Copyright ©2012 Midokura All rights reserved
Let’s build a network for IaaS Cloud !
8
How about
VLAN then!?

9
Photo Credit: CHRISTOPHER MACSURAK via Compfight cc

Copyright ©2012 Midokura All rights reserved 10
Actually, we
want L3 too…
Firewall and
Load Balancer
please!
Let’s build a network for IaaS Cloud !

11
Photo Credit: CHRISTOPHER MACSURAK via Compfight ccPhoto Credit: JBurkunkvia Compfight cc

Copyright ©2012 Midokura All rights reserved
Tenant/Project A
Network A1
VM1 VM3
Network A2
VM5
Tenant/Project B
Network B1
VM2 VM4
uplink
Provider Virtual
Router (L3)
Tenant A
Virtual Router
Tenant B
Virtual Router
VM6
Virtual L2
Switch B1
Virtual L2
Switch A1
Virtual L2
Switch A2
TenantB ofﬁce
Tenant B
VPN Router
Ofﬁce
Network
Requirements for IaaS Cloud Network
12

Copyright ©2012 Midokura All rights reserved 14Photo Credit: milos milosevic via Compfight cc

Copyright ©2012 Midokura All rights reserved
VLAN
15
 4096 limit on number of unique tags
 Large spanning trees terminating on many hosts
 High churn in switch control planes due to MAC learning
 Need MLAG for L2 multi-path (vendor specific)
VLAN1
VLAN2

Copyright ©2012 Midokura All rights reserved 16
 Mostly used by Carriers/Telco but too much for IaaS
 Network gear could be very expensive
MPLS VPN
tag
tag

Copyright ©2012 Midokura All rights reserved 17
 Not scalable to cloud scale
 Expensive hardware
 Not fault tolerant (HSRP?)
 L2 and L3 isolation. What about NAT, LB, FW?
c.f.：http://infrastructureadventures.com/tag/vrf-lite/
Core
VLAN 10
VLAN11
VLAN12
Product
VLAN 20
VLAN21
VLAN22
Sales
VLAN 99
VRF VRF VRF
VRF

Copyright ©2012 Midokura All rights reserved 19
VM
VM
Edge
EdgeEdge
Edge Edge
Edge
Virtual network
changes don't affect
underlay state
Use scalable IGP to build multi-path
underlay with cheap HW
IP encapsulation
provides isolation
without using VLAN
Decoupled from
physical network.
Wired once
Edge-to-Edge Overlays

Overlays are the best approach!
But not sufficient...
We still need a scalable control plane.
20

Copyright ©2012 Midokura All rights reserved 21
VM
VM
DB
DB
DB
Internet
EdgeMN EdgeMN
EdgeMN
Edge
MN
Edge
MN
Edge
MN
Our solution ➡ MidoNet
Stores
Virtual NW
configs
Transmits the
packets through
the tunnel
Emulates the
whole NW
topology at ingress

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12th Japan CloudStack User Group Meetup

Cloudstack collab talk

MidoNet US Launch - Oct 15

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Removing Uninteresting Bytes in Software Fuzzing

Aftab Hussain

Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

OpenID AuthZEN Interop Read Out - Authorization

David Brossard

“I’m still / I’m still / Chaining from the Block”

Claudio Di Ciccio

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Infrastructure Challenges in Scaling RAG with Custom AI models

Zilliz

Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.

Climate Impact of Software Testing at Nordic Testing Days

Kari Kakkonen

My slides at Nordic Testing Days 6.6.2024 Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.

AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf

Techgropse Pvt.Ltd.

In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.

Video Streaming: Then, Now, and in the Future

Alpen-Adria-Universität

In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.

Generating privacy-protected synthetic data using Secludy and Milvus

Zilliz

During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.

UI5 Controls simplified - UI5con2024 presentation

Wouter Lemaire

Artificial Intelligence for XMLDevelopment

Octavian Nadolu

In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject. We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup. Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved. The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring. The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise. By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.

Monitoring and Managing Anomaly Detection on OpenShift.pdf

Tosin Akinosho

Monitoring and Managing Anomaly Detection on OpenShift Overview Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices. Key Topics Covered 1. Introduction to Anomaly Detection - Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems. 2. Understanding Edge (IoT) - Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source. 3. What is ArgoCD? - Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices. 4. Deployment Using ArgoCD for Edge Devices - Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD. 5. Introduction to Apache Kafka and S3 - Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions. 6. Viewing Kafka Messages in the Data Lake - Learn how to view and analyze Kafka messages stored in a data lake for better insights. 7. What is Prometheus? - Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices. 8. Monitoring Application Metrics with Prometheus - Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system. 9. What is Camel K? - Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes. 10. Configuring Camel K Integrations for Data Pipelines - Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow. 11. What is a Jupyter Notebook? - Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text. 12. Jupyter Notebooks with Code Examples - Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.

How to Get CNIC Information System with Paksim Ga.pptx

danishmna97

Programming Foundation Models with DSPy - Meetup Slides

Zilliz

AI 101: An Introduction to the Basics and Impact of Artificial Intelligence

IndexBug

HCL Notes and Domino License Cost Reduction in the World of DLAU

panagenda

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/ The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this! We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model. Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward. These topics will be covered - Reducing license cost by finding and fixing misconfigurations and superfluous accounts - How do CCB and CCX licenses really work? - Understanding the DLAU tool and how to best utilize it - Tips for common problem areas, like team mailboxes, functional/test users, etc - Practical examples and best practices to implement right away

Ocean lotus Threat actors project by John Sitima 2024 (1).pptx

SitimaJohn

Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.

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Network Virtualization with MidoNet in CloudStack

1. Network Virtualization with MidoNet in CloudStack YOSHI TAMURA Midokura Jun 23, 2013

7. 7 Photo Credit: Studio Toveraap via Compfight cc

9. 9 Photo Credit: CHRISTOPHER MACSURAK via Compfight cc

11. 11 Photo Credit: CHRISTOPHER MACSURAK via Compfight ccPhoto Credit: JBurkunkvia Compfight cc

12. Copyright ©2012 Midokura All rights reserved Tenant/Project A Network A1 VM1 VM3 Network A2 VM5 Tenant/Project B Network B1 VM2 VM4 uplink Provider Virtual Router (L3) Tenant A Virtual Router Tenant B Virtual Router VM6 Virtual L2 Switch B1 Virtual L2 Switch A1 Virtual L2 Switch A2 TenantB ofﬁce Tenant B VPN Router Ofﬁce Network Requirements for IaaS Cloud Network 12

13. Copyright ©2012 Midokura All rights reserved Tenant/Project A Network A1 VM1 VM3 Network A2 VM5 Tenant/Project B Network B1 VM2 VM4 uplink Provider Virtual Router (L3) Tenant A Virtual Router Tenant B Virtual Router VM6 Virtual L2 Switch B1 Virtual L2 Switch A1 Virtual L2 Switch A2 TenantB ofﬁce Tenant B VPN Router Ofﬁce Network 13 Isolated tenant network (virtual data center) L3 isolation (similar to VPC and VRF) Isolated L2 networks Redundant, optimized and fault-tolerant paths to the Internet (e.g. via BGP) Fault-tolerant devices and links NAT, LB, Filtering NAT, LB, and Firewalls L3 (and L2) VPNs Minimize ARP broadcasts by exploiting CMS config RESTful API for CMS Solid integration with leading open CMS DHCP, DNS and other services Requirements for IaaS Cloud Network

15. Copyright ©2012 Midokura All rights reserved VLAN 15  4096 limit on number of unique tags  Large spanning trees terminating on many hosts  High churn in switch control planes due to MAC learning  Need MLAG for L2 multi-path (vendor specific) VLAN1 VLAN2

17. Copyright ©2012 Midokura All rights reserved 17  Not scalable to cloud scale  Expensive hardware  Not fault tolerant (HSRP?)  L2 and L3 isolation. What about NAT, LB, FW? c.f.：http://infrastructureadventures.com/tag/vrf-lite/ Core VLAN 10 VLAN11 VLAN12 Product VLAN 20 VLAN21 VLAN22 Sales VLAN 99 VRF VRF VRF VRF

18. 18 Can we do this better?

19. Copyright ©2012 Midokura All rights reserved 19 VM VM Edge EdgeEdge Edge Edge Edge Virtual network changes don't affect underlay state Use scalable IGP to build multi-path underlay with cheap HW IP encapsulation provides isolation without using VLAN Decoupled from physical network. Wired once Edge-to-Edge Overlays

20. Overlays are the best approach! But not sufficient... We still need a scalable control plane. 20

21. Copyright ©2012 Midokura All rights reserved 21 VM VM DB DB DB Internet EdgeMN EdgeMN EdgeMN Edge MN Edge MN Edge MN Our solution ➡ MidoNet Stores Virtual NW configs Transmits the packets through the tunnel Emulates the whole NW topology at ingress

Network Virtualization with MidoNet in CloudStack

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