Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.
During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
An in depth overview of Kubernetes and it's various components.
NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.
During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
An in depth overview of Kubernetes and it's various components.
NOTE: This is a fixed version of a previous presentation (a draft was uploaded with some errors)
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Introduction to the Container Network Interface (CNI)Weaveworks
CNI, the Container Network Interface, is a standard API between container runtimes and container network implementations. These slides are from the Cloud Native Computing Foundation's Webinar, and explain what CNI is, how you use it, and what lies ahead on the roadmap.
A Comprehensive Introduction to Kubernetes. This slide deck serves as the lecture portion of a full-day Workshop covering the architecture, concepts and components of Kubernetes. For the interactive portion, please see the tutorials here:
https://github.com/mrbobbytables/k8s-intro-tutorials
In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this book, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.
A basic introduction to Kubernetes. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
Everyone heard about Kubernetes. Everyone wants to use this tool. However, sometimes we forget about security, which is essential throughout the container lifecycle.
Therefore, our journey with Kubernetes security should begin in the build stage when writing the code becomes the container image.
Kubernetes provides innate security advantages, and together with solid container protection, it will be invincible.
During the sessions, we will review all those features and highlight which are mandatory to use. We will discuss the main vulnerabilities which may cause compromising your system.
Contacts:
LinkedIn - https://www.linkedin.com/in/vshynkar/
GitHub - https://github.com/sqerison
-------------------------------------------------------------------------------------
Materials from the video:
The policies and docker files examples:
https://gist.github.com/sqerison/43365e30ee62298d9757deeab7643a90
The repo with the helm chart used in a demo:
https://github.com/sqerison/argo-rollouts-demo
Tools that showed in the last section:
https://github.com/armosec/kubescape
https://github.com/aquasecurity/kube-bench
https://github.com/controlplaneio/kubectl-kubesec
https://github.com/Shopify/kubeaudit#installation
https://github.com/eldadru/ksniff
Further learning.
A book released by CISA (Cybersecurity and Infrastructure Security Agency):
https://media.defense.gov/2021/Aug/03/2002820425/-1/-1/1/CTR_KUBERNETES%20HARDENING%20GUIDANCE.PDF
O`REILLY Kubernetes Security:
https://kubernetes-security.info/
O`REILLY Container Security:
https://info.aquasec.com/container-security-book
Thanks for watching!
Kubernetes: An Introduction to the Open Source Container Orchestration PlatformMichael O'Sullivan
Originally designed by Google, Kubernetes is now an open-source platform that is used for managing applications deployed as containers across multiple hosts - now hosted under the Cloud Native Computing Foundation. It provides features for automating deployment, scaling, and maintaining these applications. Hosts are organised into clusters, and applications are deployed into these clusters as containers. Kubernetes is compatible with several container engines, notably Docker. The popularity of Kubernetes continues to increase as a result of the feature-rich tooling when compared to use of a container-engine alone, and a number of Cloud-based hosted solutions are now available, such as Google Kubernetes Engine, Amazon Elastic Container Service for Kubernetes, and IBM Cloud Container Service.
This talk will provide an introduction to the Kubernetes platform, and a detailed view of the platform architecture from both the Control Plane and Worker-node perspectives. A walk-through demonstration will also be provided. Furthermore, two additional tools that support Kubernetes will be presented and demonstrated - Helm: a package manager solution which enables easy deployment of pre-built Kubernetes software using Helm Charts, and Istio: a platform in development that aims to simplify the management of micro-services deployed on the Kubernetes platform.
Speaker Bio:
Dr. Michael J. O'Sullivan is a Software Engineer working as part of the Cloud Foundation Services team for IBM Cloud Dedicated, in the IBM Cloud division in Cork. Michael has worked on both Delivery Pipeline/Deployment Automation and Performance Testing teams, which has resulted in daily exposure to customer deployments of IBM Cloud services such as the IBM Cloud Containers Service, and the IBM Cloud Logging and Metrics Services. Michael has also worked on deployment of these services to OpenStack and VMware platforms. Michael holds a PhD in Computer Science from University College Cork (2012 - 2015), where, under the supervision of Dr. Dan Grigoras, engaged in research of Mobile Cloud Computing (MCC) - specifically, studying and implementing solutions for delivering seamless user experiences of MCC applications and services. Prior to this, Michael graduated with a 1st Class Honours Degree in Computer Science from University College Cork in 2012.
Starting with Docker 1.12, Docker has added features to the core Docker Engine to make multi-host and multi-container orchestration extremely simple to use and accessible to everyone. Docker 1.12 Networking plays a key role in enabling these orchestration features.
In this online meetup, we learned all the new and exciting networking features introduced in Docker 1.12:
Swarm-mode networking
Routing Mesh
Ingress and Internal Load-Balancing
Service Discovery
Encrypted Network Control-Plane and Data-Plane
Multi-host networking without external KV-Store
MACVLAN Driver
Securing and Automating Kubernetes with KyvernoSaim Safder
Kyverno is a CNCF Sandbox Project Created by Nirmata.
Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, git, and kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline.
In this session Shuting Zhao and Jim Bugwadia, both of whom are Kyverno maintainers will provide an overview of Kyverno and describe how you can get started with using it.
Kubernetes Security Best Practices - With tips for the CKS examAhmed AbouZaid
Agenda:
1. Introduction
2. Shift-left and DevSecOps
3. General Security Concepts
4. The 4C’s of Cloud Native Security
5. Kubernetes Security Starter Kit
6. CKS Exam Overview and Tips
Overview:
A dive into Kubernetes Security Best Practices in addition to tips for the Certified Kubernetes Security Specialist (CKS) exam.
The 1-3 sections are for everyone and they will cover the security in the container era. So it doesn’t matter what’s your title or background, they are a good start for anyone.
The 4-6 sections will dive more into Kubernetes security, so probably DevOps engineers and SREs will find that more interesting. But in general anyone interested in Kubernetes security is more than welcome.
Helm version 3 was recently released with new features and a new architecture to support those features. The changes to Helm and charts were based on feedback, changes to Kubernetes, and lessons learned in the past couple years.
An Operator is an application that encodes the domain knowledge of the application and extends the Kubernetes API through custom resources. They enable users to create, configure, and manage their applications. Operators have been around for a while now, and that has allowed for patterns and best practices to be developed.
In this talk, Lili will explain what operators are in the context of Kubernetes and present the different tools out there to create and maintain operators over time. She will end by demoing the building of an operator from scratch, and also using the helper tools available out there.
When it comes to networking inside Kubernetes, selecting the correct networking solution may be one of the most important decisions you may face. This is especially true if you are trying to run a Kubernetes cluster in production.
Therefore it's beneficial to have a good understanding of different CNI options out there and most importantly how these networking options are different from each other.
This presentation goes over packet by packet-level details of how the network plumbing is happening with different CNI plugins including, Flannel, Calico & Cilium.
Introduction to the Container Network Interface (CNI)Weaveworks
CNI, the Container Network Interface, is a standard API between container runtimes and container network implementations. These slides are from the Cloud Native Computing Foundation's Webinar, and explain what CNI is, how you use it, and what lies ahead on the roadmap.
A Comprehensive Introduction to Kubernetes. This slide deck serves as the lecture portion of a full-day Workshop covering the architecture, concepts and components of Kubernetes. For the interactive portion, please see the tutorials here:
https://github.com/mrbobbytables/k8s-intro-tutorials
In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this book, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.
A basic introduction to Kubernetes. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
Everyone heard about Kubernetes. Everyone wants to use this tool. However, sometimes we forget about security, which is essential throughout the container lifecycle.
Therefore, our journey with Kubernetes security should begin in the build stage when writing the code becomes the container image.
Kubernetes provides innate security advantages, and together with solid container protection, it will be invincible.
During the sessions, we will review all those features and highlight which are mandatory to use. We will discuss the main vulnerabilities which may cause compromising your system.
Contacts:
LinkedIn - https://www.linkedin.com/in/vshynkar/
GitHub - https://github.com/sqerison
-------------------------------------------------------------------------------------
Materials from the video:
The policies and docker files examples:
https://gist.github.com/sqerison/43365e30ee62298d9757deeab7643a90
The repo with the helm chart used in a demo:
https://github.com/sqerison/argo-rollouts-demo
Tools that showed in the last section:
https://github.com/armosec/kubescape
https://github.com/aquasecurity/kube-bench
https://github.com/controlplaneio/kubectl-kubesec
https://github.com/Shopify/kubeaudit#installation
https://github.com/eldadru/ksniff
Further learning.
A book released by CISA (Cybersecurity and Infrastructure Security Agency):
https://media.defense.gov/2021/Aug/03/2002820425/-1/-1/1/CTR_KUBERNETES%20HARDENING%20GUIDANCE.PDF
O`REILLY Kubernetes Security:
https://kubernetes-security.info/
O`REILLY Container Security:
https://info.aquasec.com/container-security-book
Thanks for watching!
Kubernetes: An Introduction to the Open Source Container Orchestration PlatformMichael O'Sullivan
Originally designed by Google, Kubernetes is now an open-source platform that is used for managing applications deployed as containers across multiple hosts - now hosted under the Cloud Native Computing Foundation. It provides features for automating deployment, scaling, and maintaining these applications. Hosts are organised into clusters, and applications are deployed into these clusters as containers. Kubernetes is compatible with several container engines, notably Docker. The popularity of Kubernetes continues to increase as a result of the feature-rich tooling when compared to use of a container-engine alone, and a number of Cloud-based hosted solutions are now available, such as Google Kubernetes Engine, Amazon Elastic Container Service for Kubernetes, and IBM Cloud Container Service.
This talk will provide an introduction to the Kubernetes platform, and a detailed view of the platform architecture from both the Control Plane and Worker-node perspectives. A walk-through demonstration will also be provided. Furthermore, two additional tools that support Kubernetes will be presented and demonstrated - Helm: a package manager solution which enables easy deployment of pre-built Kubernetes software using Helm Charts, and Istio: a platform in development that aims to simplify the management of micro-services deployed on the Kubernetes platform.
Speaker Bio:
Dr. Michael J. O'Sullivan is a Software Engineer working as part of the Cloud Foundation Services team for IBM Cloud Dedicated, in the IBM Cloud division in Cork. Michael has worked on both Delivery Pipeline/Deployment Automation and Performance Testing teams, which has resulted in daily exposure to customer deployments of IBM Cloud services such as the IBM Cloud Containers Service, and the IBM Cloud Logging and Metrics Services. Michael has also worked on deployment of these services to OpenStack and VMware platforms. Michael holds a PhD in Computer Science from University College Cork (2012 - 2015), where, under the supervision of Dr. Dan Grigoras, engaged in research of Mobile Cloud Computing (MCC) - specifically, studying and implementing solutions for delivering seamless user experiences of MCC applications and services. Prior to this, Michael graduated with a 1st Class Honours Degree in Computer Science from University College Cork in 2012.
Starting with Docker 1.12, Docker has added features to the core Docker Engine to make multi-host and multi-container orchestration extremely simple to use and accessible to everyone. Docker 1.12 Networking plays a key role in enabling these orchestration features.
In this online meetup, we learned all the new and exciting networking features introduced in Docker 1.12:
Swarm-mode networking
Routing Mesh
Ingress and Internal Load-Balancing
Service Discovery
Encrypted Network Control-Plane and Data-Plane
Multi-host networking without external KV-Store
MACVLAN Driver
Securing and Automating Kubernetes with KyvernoSaim Safder
Kyverno is a CNCF Sandbox Project Created by Nirmata.
Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, git, and kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline.
In this session Shuting Zhao and Jim Bugwadia, both of whom are Kyverno maintainers will provide an overview of Kyverno and describe how you can get started with using it.
Kubernetes Security Best Practices - With tips for the CKS examAhmed AbouZaid
Agenda:
1. Introduction
2. Shift-left and DevSecOps
3. General Security Concepts
4. The 4C’s of Cloud Native Security
5. Kubernetes Security Starter Kit
6. CKS Exam Overview and Tips
Overview:
A dive into Kubernetes Security Best Practices in addition to tips for the Certified Kubernetes Security Specialist (CKS) exam.
The 1-3 sections are for everyone and they will cover the security in the container era. So it doesn’t matter what’s your title or background, they are a good start for anyone.
The 4-6 sections will dive more into Kubernetes security, so probably DevOps engineers and SREs will find that more interesting. But in general anyone interested in Kubernetes security is more than welcome.
Helm version 3 was recently released with new features and a new architecture to support those features. The changes to Helm and charts were based on feedback, changes to Kubernetes, and lessons learned in the past couple years.
An Operator is an application that encodes the domain knowledge of the application and extends the Kubernetes API through custom resources. They enable users to create, configure, and manage their applications. Operators have been around for a while now, and that has allowed for patterns and best practices to be developed.
In this talk, Lili will explain what operators are in the context of Kubernetes and present the different tools out there to create and maintain operators over time. She will end by demoing the building of an operator from scratch, and also using the helper tools available out there.
When it comes to networking inside Kubernetes, selecting the correct networking solution may be one of the most important decisions you may face. This is especially true if you are trying to run a Kubernetes cluster in production.
Therefore it's beneficial to have a good understanding of different CNI options out there and most importantly how these networking options are different from each other.
This presentation goes over packet by packet-level details of how the network plumbing is happening with different CNI plugins including, Flannel, Calico & Cilium.
The Docker network overlay driver relies on several technologies: network namespaces, VXLAN, Netlink and a distributed key-value store. This talk will present each of these mechanisms one by one along with their userland tools and show hands-on how they interact together when setting up an overlay to connect containers.
The talk will continue with a demo showing how to build your own simple overlay using these technologies.
Deeper Dive in Docker Overlay NetworksDocker, Inc.
The Docker network overlay driver relies on several technologies: network namespaces, VXLAN, Netlink and a distributed key-value store. This talk will present each of these mechanisms one by one along with their userland tools and show hands-on how they interact together when setting up an overlay to connect containers. The talk will continue with a demo showing how to build your own simple overlay using these technologies. Finally, it will show how we can dynamically distribute IP and MAC information to every hosts in the overlay.
Replacing iptables with eBPF in Kubernetes with CiliumMichal Rostecki
Cilium is an open source project which provides networking, security and load balancing for application services that are deployed using Linux container technologies by using the native eBPF technology in the Linux kernel. In this presentation we talked about:
- The evolution of the BPF filters and explained the advantages of eBPF Filters and its use cases today in Linux especially on how Cilium networking utilizes the eBPF Filters to secure the Kubernetes workload with increased performance when compared to legacy iptables.
- How Cilium uses SOCKMAP for layer 7 policy enforcement - How Cilium integrates with Istio and handles L7 Network Policies with Envoy Proxies.
- The new features since the last release such as running Kubernetes cluster without kube-proxy, providing clusterwide NetworkPolicies, providing fully distributed networking and security observability platform for cloud native workloads etc.
Introduction to Docker Networking options. We give in-depth description of the different options with single host examples. See our other presentations for multi-host, IPv6, and CoreOS Flannel descriptions.
20240415 [Container Plumbing Days] Usernetes Gen2 - Kubernetes in Rootless Do...Akihiro Suda
Rootless mode is a technique to harden containers by running the container engine as a non-root user. The support for rootless mode has been merged into Docker since v19.03 (2019) and in Kubernetes since v1.22 (2021). However, setting up Rootless Kubernetes has been more challenging than setting up Rootless Docker due to its complexity. This session presents Usernetes Generation 2, a Kubernetes distribution that wraps Kubernetes in Rootless Docker for ease of setting up multi-node Rootless Kubernetes clusters. Unlike the original Usernetes (Generation 1) that was based on "Kubernetes The Hard Way", Usernetes Generation 2 supports kubeadm. Usernetes Generation 2 is similar to `kind` and `minikube`, however, unlike them Usernetes Generation 2 supports forming real multi-node clusters using Flannel (VXLAN) and it can be potentially used for production clusters. https://github.com/rootless-containers/usernetes
this slide is created for understand open vswitch more easily.
so I tried to make it practical. if you just follow up this scenario, then you will get some knowledge about OVS.
In this document, I mainly use only two command "ip" and "ovs-vsctl" to show you the ability of these commands.
You can create and test your OFC with Trema.
You can create tests effectively with test frameworks.
You can run common tests for both environment of a testing network and a real network.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
3. ● Kubernetes network model[1]
○ Pods on a node can communicate with all pods on all nodes without NAT
○ Agents on a node (e.g. system daemons, kubelet) can communicate with all pods on that
node
○ Pods in the host network of a node can communicate with all pods on all nodes without
NAT
● Each pod has its own namespace and shares it among containers running on the pod
Basic concept
[1] https://kubernetes.io/docs/concepts/cluster-administration/networking/#the-kubernetes-network-model
4. Basic concept
Worker
- Pod to Pod on a node(CNI : flannel)
cni0
Pod1 namespace Pod2 namespace
veth** veth**
eth* eth*
Container Container Container
VETH pair
5. Basic concept
- To determine a namespace of a pod and run a command in the namespace
ubuntu@worker-1:~$ sudo docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
9ccf18aa9c03 64f5d945efcc "sleep 86400" 32 minutes ago Up 32 minutes
k8s_busybox_busybox2_default_65195239-7cac-11e9-a0ad-525400acdead_0
a8a7b94d56de k8s.gcr.io/pause:3.1 "/pause" 32 minutes ago Up 32 minutes
k8s_POD_busybox2_default_65195239-7cac-11e9-a0ad-525400acdead_0
41a80dbe0356 64f5d945efcc "sleep 86400" About an hour ago Up About an hour
k8s_busybox-2_busybox-multi_default_5a044af0-7ca9-11e9-a0ad-525400acdead_0
…
ubuntu@worker-1:~$ sudo nsenter -t $(sudo docker inspect --format '{{ .State.Pid }}' 41a80dbe0356) -n ip addr
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1
link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
inet 127.0.0.1/8 scope host lo
valid_lft forever preferred_lft forever
3: eth0@if9: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1450 qdisc noqueue state UP group default
link/ether 5e:69:ad:2e:69:78 brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 10.244.1.12/24 scope global eth0
valid_lft forever preferred_lft forever
ubuntu@worker-1:~$ip addr
…
9: veth24718b0b@if3: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1450 qdisc noqueue master cni0 state UP group default
link/ether 72:41:50:c6:67:73 brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet6 fe80::7041:50ff:fec6:6773/64 scope link
valid_lft forever preferred_lft forever
6. Basic concept
Worker-1
- Pod to Pod between remote nodes
Worker-2
flannel.1
10.244.0.0/32
flannel.1
10.244.1.0/32
Pod1
eth*
10.244.0.11/24
Container
eth0
Pod2
Container
eth0
Depends on CNI
ubuntu@worker-1:~$ route -n
Destination Gateway Genmask Flags Metric Ref Use Iface
0.0.0.0 172.30.1.254 0.0.0.0 UG 0 0 0 eth0
10.244.0.0 0.0.0.0 255.255.255.0 U 0 0 0 cni0
10.244.1.0 10.244.1.0 255.255.255.0 UG 0 0 0 flannel.1
172.17.0.0 0.0.0.0 255.255.0.0 U 0 0 0 docker0
172.30.1.0 0.0.0.0 255.255.255.0 U 0 0 0 eth0
eth*
10.244.1.13/24
cni0 cni0
7. Basic concept : ClusterIP
Worker-1 Worker-2
Pod1
influxdb
Service “my-influxdb”
Pod2
influxdb
Pod3
influxdb
Pod4
nginx
ClusterIP
Client Client
Service B
ClusterIP
8. Basic concept : ClusterIP
ubuntu@master-1:~$kubectl get pod -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
my-influxdb-7d7c56fd6c-hkxcm 1/1 Running 0 21m 10.1.71.7 juju-2d6bac-2 <none> <none>
my-influxdb-7d7c56fd6c-nrw96 1/1 Running 0 21m 10.1.52.16 juju-2d6bac-1 <none> <none>
my-influxdb-7d7c56fd6c-tlcv2 1/1 Running 0 21m 10.1.71.6 juju-2d6bac-2 <none> <none>
ubuntu@master-1:~$kubectl get service -o wide
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE SELECTOR
kubernetes ClusterIP 10.152.183.1 <none> 443/TCP 57m <none>
my-influxdb ClusterIP 10.152.183.62 <none> 8086/TCP 21m run=my-influxdb
Chain KUBE-SERVICES (2 references)
pkts bytes target prot opt in out source destination
0 0 KUBE-MARK-MASQ tcp -- * * !10.1.0.0/16 10.152.183.62 /* default/my-influxdb: cluster
IP */ tcp dpt:8086
0 0 KUBE-SVC-HFIBEWMHTJTJLTVI tcp -- * * 0.0.0.0/0 10.152.183.62 /* default/my-influxdb: cluster
IP */ tcp dpt:8086
Chain KUBE-SVC-HFIBEWMHTJTJLTVI (1 references)
pkts bytes target prot opt in out source destination
0 0 KUBE-SEP-ECEWNW4CQDEBZ5IC all -- * * 0.0.0.0/0 0.0.0.0/0 statistic mode random probability
0.33332999982
0 0 KUBE-SEP-DTNINEUP5BSSI6C5 all -- * * 0.0.0.0/0 0.0.0.0/0 statistic mode random probability
0.50000000000
0 0 KUBE-SEP-ULXQYDTSZVM5BZGA all -- * * 0.0.0.0/0 0.0.0.0/0
9. Basic concept : kube-proxy mode
● Kube-proxy mode :
○ User space mode
■ Since v1.0
○ Iptables mode
■ Default mode since v1.2
○ IPVS mode
■ Since v1.8
○ kube-proxy --proxy-mode ProxyMode
○ $curl localhost:10249/proxyMode
○ https://kubernetes.io/docs/concepts/services-networking/service/
16. externalTrafficPolicy: Cluster
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
Expose Kubernetes Service : nodePort
26. externalTrafficPolicy: Local
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.185:30180/host.html
Local IP : 10.244.0.15
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
janghoon@janghoon-gram:~$ curl http://172.30.1.187:30180/host.html
Local IP : 10.244.1.21
Expose Kubernetes Service : nodePort
43. ubuntu@master-1:~$ kubectl exec -it nginx-ingress-controller-kubernetes-worker-lb8lv -n ingress-nginx-kubernetes-
worker -- cat /etc/nginx/nginx.conf
...
location /coffee {
set $namespace "default";
set $ingress_name "cafe-ingress";
set $service_name "coffee-svc";
set $service_port "80";
set $location_path "/coffee";
...
location /tea {
set $namespace "default";
set $ingress_name "cafe-ingress";
set $service_name "tea-svc";
set $service_port "80";
set $location_path "/tea";
...
Expose Kubernetes Service : Ingress
44. Kubernetes network plugins(CNI)
● Kubernetes Networking Model
Kubernetes imposes the following fundamental requirements on any networking
implementation (barring any intentional network segmentation policies):
● pods on a node can communicate with all pods on all nodes without NAT
● agents on a node (e.g. system daemons, kubelet) can communicate with all pods on
that node
● pods in the host network of a node can communicate with all pods on all nodes
without NAT
- https://kubernetes.io/docs/concepts/cluster-administration/networking/
● Container Network Interface(CNI) Network Providers for Kubernetes
- Comparison table
- https://docs.google.com/spreadsheets/d/1qCOlor16Wp5mHd6MQxB5gUEQILnijyDLIExEpq
mee2k/edit?usp=sharing
- Benchmark
- https://itnext.io/benchmark-results-of-kubernetes-network-plugins-cni-over-10gbit-s-netwo
rk-36475925a560
- CDK supports
- Flannel
- Calico
- Weave??
45. Worker -1
Kubernetes network plugins(CNI) - Flannel
Pod1
flanneld
Pod2
flanneld
ubuntu@u-VM-worker-1:~$ kubectl describe configmap kube-flannel-cfg -
n kube-system
...
net-conf.json:
----
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
...
ubuntu@etc-0:~$ etcdctl get /coreos.com/network/config
{"Network": "10.1.0.0/16", "Backend": {"Type": "vxlan"}}
1. Flanneld
a. Responsible for flannel.x port and routing table for cluster networking
b. running on all nodes as a service(CDK) or as a daemonset(manual deployment)
c. Backend : UDP, vxlan
d. https://github.com/coreos/flannel
2. flannel.x : a vxlan network port
Etcd cluster
etcd
ubuntu@worker-1~$ sudo ip -d link show flannel.1
4: flannel.1: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1450 qdisc noqueue state UNKNOWN mode DEFAULT group default
link/ether 3a:b4:eb:44:3a:4a brd ff:ff:ff:ff:ff:ff promiscuity 0
vxlan id 1 local 172.30.1.172 dev eth0 srcport 0 0 dstport 8472 nolearning ttl inherit ageing 300 udpcsum noudp6zerocsumtx noudp6zerocsumrx addrgenmode eui64
numtxqueues 1 numrxqueues 1 gso_max_size 65536 gso_max_segs 65535
eth0
cni0
flannel.1
48. Worker -1
Kubernetes network plugins(CNI) - Calico
Pod1
calixxxxxxxxxxx
Calico Pod
BIRD
1. Calico
a. L3 routing based.
i. https://www.projectcalico.org/
b. BIRD : BGP routing daemon. BIRD runs on every host as a Daemonset.
c. Confd: monitors the etcd datastore for any changes to BGP configuration and write
it to a file. BIRD reads this configuration file and updates changes.
d. Felix : writes the routing tables and iptables for network policy.
Etcd cluster
etcd
eth0
Confd
Felix
eth0
VETH pair