Kubernetes on OpenStack @eBay
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This document summarizes how Kubernetes can be used on OpenStack. It discusses integrating Kubernetes with OpenStack services for networking (Neutron), identity and access management (Keystone), storage (Cinder and Swift), cluster setup/management, and container registry. For each area, it provides an overview of the current integration and potential future enhancements.
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No audio, but there are annotations to follow along with the workload.
A video accompanies a Microservices Meetup talk that I presented on February 18, 2015 at https://www.youtube.com/watch?v=RfyIYhOzyPY
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Gohan
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Kubernetes Storage Webinar.pptx
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Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Technology Trends in 2025: AI and Big Data Analytics
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
AI and Data Privacy in 2025: Global Trends
AI and Data Privacy in 2025: Global TrendsInData Labs In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Kubernetes on OpenStack @eBay
- 1. Kubernetes on Openstack @ Ashwin Raveendran eBay Cloud Engineering
- 2. What is Kubernetes A lean, portable, extensible platform for managing cloud native applications - container packaged - dynamically scheduled - declarative state - microservices oriented
- 4. neutron keystone cinder nova swift
- 5. work streams Networking IAM Storage Cluster setup and Management Container Registry
- 6. Networking • Leverage cloud native networking solution Pods needs cluster wide routable IPs Each node requires a CIDR block Performance and Manageability • Neutron private networks within cluster • Assign one neutron network/subnet per node
- 8. Networking: future • Pure Layer 3 networking with BGP • Policy based distributed firewall • IPV6
- 9. Kube APIs requires identity and access management • Leverage keystone as the IAM service • map keystone projects == kube namespaces • use keystone authentication and RBAC IAM
- 11. ABAC policy based plugin Integrate keystone into kubectl cli flow for tokens Offer a native IAM service for cloud native applications IAM: future
- 12. Storage Stateful workload needs high performance persistent storage • leverage openstack cinder • Storage plugin manages pod volume lifecycle automatically
- 14. Storage: future • Native distributed storage • Swift based storage sidecars
- 15. Cluster Setup and Management • openstack apis, custom scripts, cloud-init, salt stack • disk-image-builder based pipeline for building compute images for minions • swift for storing non-dockerized build artifacts
- 16. Cluster Setup and Mgmt: future • multi cloud-provider cluster setup and management using declarative state • federated cluster management for hybrid clouds patterns (cluster federation)
- 17. Container Registry Container registry needs access control • Keystone for ACLs Container registry needs dependable storage • Swift as backing storage
- 18. Container Registry: future • Notary support • Scale
- 19. thank you
Editor's Notes
- #2: Intro on name
- #3: Container cluster platform, Abstracts infrastructure, scheduled , application failure and node failures are handled Containers Flexible Consistency Division of labor between dev and ops predictable performance
- #6: Loadbalancer integration challenges
- #7: Loadbalancer integration challenges
- #9: Loadbalancer integration challenges