Introduce the basic concept of load-balancing, common implementations of load-balancing and the detail fo kubernetes service. In the last, demonstrate how to modify the linux iptable kernel module to fulfill the layer-7 load-balcning for kubernetes
In this slide, we discussed the IPVS, including the introduction, demonstration, implementation, and integration in Kubernetes.
IPVS was based on the netfilter and we discussed how it works with iptables and also compares the detail implementation in Kubernetes to show why IPVS has a better performance in IPTABLES.
In this slide, we discuss the concept of IPTABLES/EBTABLES and then show how they work in a simple docker environment.
In order to track the packet flow in those containers communication, we use the LOG module in IPTABLES/EBTABLE to track the information.
In this slide, we discussed the IPVS, including the introduction, demonstration, implementation, and integration in Kubernetes.
IPVS was based on the netfilter and we discussed how it works with iptables and also compares the detail implementation in Kubernetes to show why IPVS has a better performance in IPTABLES.
In this slide, we discuss the concept of IPTABLES/EBTABLES and then show how they work in a simple docker environment.
In order to track the packet flow in those containers communication, we use the LOG module in IPTABLES/EBTABLE to track the information.
In this slide, we discussed the architecture of iptables and also showed how to implement your own IPTABLES module.
Upon the understanding of iptables, we implemented the DNS layer 7 parse in iptables module.
After that, we studied how Kubernetes service works and also explained why Kubernetes can't do layer7 load-balancer in TCP connection but UDP.
Writing the Container Network Interface(CNI) plugin in golangHungWei Chiu
An introduction to Container Network Interface (CNI), including what problems it want solve and how it works.
Also contains a example about how to write a simple CNI plugin with golang
Kubernetes currently has two load balancing mode: userspace and IPTables. They both have limitation on scalability and performance. We introduced IPVS as third kube-proxy mode which scales kubernetes load balancer to support 50,000 services. Beyond that, control plane needs to be optimized in order to deploy 50,000 services. We will introduce alternative solutions and our prototypes with detailed performance data.
Introduction to CNI (Container Network Interface)HungWei Chiu
A brief introduction to the CNI (Container Network Interface), the implementation of docker bridge network and the CNI usage, including why we develop the CNI, how to use the CNI and what is CNI.
We also introduction the pause container the kubernetes PoD and how to use the CNI in the kubernetes.
In the end, we use the flannel as an example to show how to install the CNI into your kubernetes cluster
Enterprise data centers have to support a diverse of set of workloads: cloud native, big data, high performance computing, and legacy applications. While cloud native applications are ideal to run in Docker clusters, bare metal and virtualization infrastructures must still be supported in the data center. The result is a proliferation of clusters and technologies running in individual silos, resulting in high management costs and low utilization. This talk describes the challenges and experiences in implementing a shared cluster infrastructure based on Kubernetes to support big data, high performance computing, and VM-based workloads. The talk will show the deployment and scaling of a high performance computing workload manager, Spark, and OpenStack, and how the VM and Docker management can be integrated together.
Docker network performance in the public cloudArjan Schaaf
Presentation from Container Camp London 2015 which compares both the network performance of containers on both AWS and Azure. Included SDN solutions in these tests are Flannel, Weave and Project Calico.
Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.
[20200720]cloud native develoment - Nelson LinHanLing Shen
There is no shortage now of development and CI/CD tools for cloud-native application development. But how do we put the cloud-native concept and think as the cloud-native way on the leftmost side of CI/CD pipeline.
During developing phrase, the tools provided with cloud code can help you expedite iteration of source codes, run and debug cloud native applications in an easy and fast way, making cloud-native development turn into real-time process, reduce the gap between deployment and development.
現在不乏用於雲原生應用程序開發的開發和 CI/CD工具。 但是,我們如何將雲原生概念放在的 CI/CD 流水線的最左側呢?
在開發階段,如何用 Cloud code 協助您加快原始碼的迭代速度,以簡便快捷的方式運行和調用雲原生應用程序,使雲原生開發變為即使過程,縮小開發與部署之間的差
In the container ecosystem, there is perhaps no technology that has received more focus and attention than orchestration and scheduling. Mesos, Kubernetes, and Swarm have established themselves as the leading technology choices in this space.
In this talk, Sheng will discuss what he learned from working directly with hundreds of users who have deployed one of these frameworks. He will look at how these frameworks will continue to evolve and if there’re any gaps and opportunities in container orchestration and scheduling. Sheng will make a case that there are still room for innovation and new orchestration and scheduling frameworks will be created in the future. He will discuss what new frameworks might look like--the features, functionalities, and attributes that differentiate them from the mainstream frameworks today.
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
Introduction what is container and how to use it. staring from the comparison to virtual machine and also show how to use the persistent storage and port mapping in containers.
In the last part, shows what is kubernetes and what kind of problems kubernetes want to solve and how it solves.
This talks shows how to implement the Application-Based Routing in the common Linux Distribution. We use the NDPI to execute the DPI function to category the packet first, use the linux kernel build-it mark to pass the information from user-space to kernel space and then the policy routing system use that mark to route the packet by different destination or interface.
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
In this slide, we discussed the architecture of iptables and also showed how to implement your own IPTABLES module.
Upon the understanding of iptables, we implemented the DNS layer 7 parse in iptables module.
After that, we studied how Kubernetes service works and also explained why Kubernetes can't do layer7 load-balancer in TCP connection but UDP.
Writing the Container Network Interface(CNI) plugin in golangHungWei Chiu
An introduction to Container Network Interface (CNI), including what problems it want solve and how it works.
Also contains a example about how to write a simple CNI plugin with golang
Kubernetes currently has two load balancing mode: userspace and IPTables. They both have limitation on scalability and performance. We introduced IPVS as third kube-proxy mode which scales kubernetes load balancer to support 50,000 services. Beyond that, control plane needs to be optimized in order to deploy 50,000 services. We will introduce alternative solutions and our prototypes with detailed performance data.
Introduction to CNI (Container Network Interface)HungWei Chiu
A brief introduction to the CNI (Container Network Interface), the implementation of docker bridge network and the CNI usage, including why we develop the CNI, how to use the CNI and what is CNI.
We also introduction the pause container the kubernetes PoD and how to use the CNI in the kubernetes.
In the end, we use the flannel as an example to show how to install the CNI into your kubernetes cluster
Enterprise data centers have to support a diverse of set of workloads: cloud native, big data, high performance computing, and legacy applications. While cloud native applications are ideal to run in Docker clusters, bare metal and virtualization infrastructures must still be supported in the data center. The result is a proliferation of clusters and technologies running in individual silos, resulting in high management costs and low utilization. This talk describes the challenges and experiences in implementing a shared cluster infrastructure based on Kubernetes to support big data, high performance computing, and VM-based workloads. The talk will show the deployment and scaling of a high performance computing workload manager, Spark, and OpenStack, and how the VM and Docker management can be integrated together.
Docker network performance in the public cloudArjan Schaaf
Presentation from Container Camp London 2015 which compares both the network performance of containers on both AWS and Azure. Included SDN solutions in these tests are Flannel, Weave and Project Calico.
Kubernetes has two simple but powerful network concepts: every Pod is connected to the same network, and Services let you talk to a Pod by name. Bryan will take you through how these concepts are implemented - Pod Networks via the Container Network Interface (CNI), Service Discovery via kube-dns and Service virtual IPs, then on to how Services are exposed to the rest of the world.
[20200720]cloud native develoment - Nelson LinHanLing Shen
There is no shortage now of development and CI/CD tools for cloud-native application development. But how do we put the cloud-native concept and think as the cloud-native way on the leftmost side of CI/CD pipeline.
During developing phrase, the tools provided with cloud code can help you expedite iteration of source codes, run and debug cloud native applications in an easy and fast way, making cloud-native development turn into real-time process, reduce the gap between deployment and development.
現在不乏用於雲原生應用程序開發的開發和 CI/CD工具。 但是,我們如何將雲原生概念放在的 CI/CD 流水線的最左側呢?
在開發階段,如何用 Cloud code 協助您加快原始碼的迭代速度,以簡便快捷的方式運行和調用雲原生應用程序,使雲原生開發變為即使過程,縮小開發與部署之間的差
In the container ecosystem, there is perhaps no technology that has received more focus and attention than orchestration and scheduling. Mesos, Kubernetes, and Swarm have established themselves as the leading technology choices in this space.
In this talk, Sheng will discuss what he learned from working directly with hundreds of users who have deployed one of these frameworks. He will look at how these frameworks will continue to evolve and if there’re any gaps and opportunities in container orchestration and scheduling. Sheng will make a case that there are still room for innovation and new orchestration and scheduling frameworks will be created in the future. He will discuss what new frameworks might look like--the features, functionalities, and attributes that differentiate them from the mainstream frameworks today.
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
Introduction what is container and how to use it. staring from the comparison to virtual machine and also show how to use the persistent storage and port mapping in containers.
In the last part, shows what is kubernetes and what kind of problems kubernetes want to solve and how it solves.
This talks shows how to implement the Application-Based Routing in the common Linux Distribution. We use the NDPI to execute the DPI function to category the packet first, use the linux kernel build-it mark to pass the information from user-space to kernel space and then the policy routing system use that mark to route the packet by different destination or interface.
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
Introduce the basic concept of Open vSwitch. In this slide, we talked about how Linux kernel and networking stack worked together to forward and process the network packet and also compare those Linux networking stack functionality with Open vSwitch and Openflow.
At the end of this slide, we talk about the challenge to integrate the Open vSwitch with Kubernetes, what kind of the networking function we need to resolve and what is the benefit we can get from the Open Vswitch.
KubeCon EU 2016: Creating an Advanced Load Balancing Solution for Kubernetes ...KubeAcademy
Load balancing is an important part of any resilient web application. Kubernetes supports a few options for external load balancing, but they are limited in features. After a brief discussion of those options and the features they lack, we’ll show how to build an advanced load balancing solution for Kubernetes on top of NGINX, utilizing Kubernetes features including Ingress, Annotations, and ConfigMap. We’ll conclude with a demo of how to use NGINX and NGINX Plus to expose services to the Internet.
Sched Link: http://sched.co/6Bc9
In this webinar we discuss new features in NGINX Plus R15, which includes support for gRPC, HTTP/2 Server Push, enhanced clustering, and OpenID Connect SSO integration.
Watch this webinar to learn:
- About new HTTP/2 enhancements: gRPC and HTTP/2 server push support
- About new state sharing and clustering support in NGINX Plus, with support for Sticky Learn session persistence
- How to integrate with Okta, OneLogin, and other identity providers to provide single sign on (SSO) for your applications
- How to initiate subrequests with the NGINX JavaScript module, new variables, and other great new enhancements in this release
https://www.nginx.com/resources/webinars/whats-new-nginx-plus-r15/
Load Balancing Applications on Kubernetes with NGINXAine Long
Slides from Michael Pleshavkov - Platform Integration Engineer, NGINX about HTTP load balancing on Kubernetes with NGINX. You will learn how to configure load balancing for a web application using a Kubernetes Ingress resource and how to deploy and use NGINX Ingress controller.
Orchestrating Linux Containers while tolerating failuresDocker, Inc.
lthough containers are bringing a refreshing flexibility when deploying services in production, the management of those containers in such an environment still requires special care in order to keep the application up and running. In this regard, orchestration platforms like Docker, Kubernetes and Nomad have been trying to alleviate this responsibility, facilitating the task of deploying and maintaining the entire application stack in its desired state. This ensures that a service will be always running, tolerating machine failures, network erratic behavior or software updates and downtime. The purpose of this talk is to explain the mechanisms and architecture of the Docker Engine orchestration platform (using a framework called swarmkit) to tolerate failures of services and machines, from cluster state replication and leader-election to container re-scheduling logic when a host goes down.
TLS 1.3 and Other New Features in NGINX Plus R17 and NGINX Open Source EMEANGINX, Inc.
The latest version of the TLS protocol, TLS 1.3, was just released in August 2018. TLS 1.3 is faster and more secure than TLS 1.2. In this webinar we cover what’s new in TLS 1.3 and how to use it with NGINX, plus other new features in NGINX Open Source and NGINX Plus.
Join this webinar to learn:
- What’s new in TLS 1.3 and why it's faster and more secure than TLS 1.2
- How to use TLS 1.3 with NGINX Plus and NGINX Open Source
- About two-stage rate limiting, simplified OpenID Connect, and 2x faster NGINX and ModSecurity WAF performance
- More with a live demo of TLS 1.3 in action
https://www.nginx.com/resources/webinars/tls-1-3-new-features-nginx-plus-r17-nginx-open-source-emea/
In this webinar we discuss new features in NGINX Plus R15, which includes support for gRPC, HTTP/2 Server Push, enhanced clustering, and OpenID Connect SSO integration.
Watch this webinar to learn:
- About new HTTP/2 enhancements: gRPC and HTTP/2 server push support
- About new state sharing and clustering support in NGINX Plus, with support for Sticky Learn session persistence
- How to integrate with Okta, OneLogin, and other identity providers to provide single sign on (SSO) for your applications
- How to initiate subrequests with the NGINX JavaScript module, new variables, and other great new enhancements in this release
https://www.nginx.com/resources/webinars/whats-new-nginx-plus-r15/
NGINX Plus R7 is full of new features to help you deliver your applications. HTTP/2 is now fully supported. A redesigned graphical dashboard helps you quickly identify problems. And improvements to the core of NGINX enhance performance, security, and reliability for all your applications. These changes bring tremendous capability to help make your applications faster and more secure than ever.
View full webinar on demand at https://www.nginx.com/resources/webinars/whats-new-in-nginx-plus-r7/
NGINX Plus is often deployed in a cluster, and the new features in R16 help our customers working in a clustered environment. New features include global rate limiting, a cluster-aware key-value store, Random with Two Choices load-balancing algorithm, and more.
Join this webinar to learn:
- About the new cluster-aware features in NGINX Plus R16: global rate limiting, key-value store, and Random with Two Choices load balancing
- How to use key-value stores in use cases such as DDoS mitigation and dynamic bandwidth limiting
- About enhanced UDP load balancing, AWS PrivateLink support, and additional new features
- How the NGINX Plus R16 features behave in action, in a live demo
https://www.nginx.com/resources/webinars/whats-new-nginx-plus-r16/
This slide describe what is the KIND and how to set up the KIND(Kubernetes IN Docker) to have a simple and quickly environment for k8s testing, is also address few issues what KIND fix to make the KIND work, like the certificate issue and DNS issue
Kubernetes is a container orchestrator platform, not the docker platform. It means we can switch to a different container solutions in the Kubernetes environment and the key point is the CRI, container runtime intface. We will talked about what is the CRI and how to use it in the Kubernetes world, we also introduce what is the OCI, the basic concept of the OCI, inclduing Runtime spec and Image spec.
In this slide, we go through the Google Dapper, OpenTracing, Jaeger to OpenTelemetry. By reading and studying the history of Dapper, we could lean the experience and design theory of a large-scale distributed tracing system and then know how it affects other solutions, like OpenTracing and Jaeger.
We also discuss the difference between the OpenTracing and Jaeger and also demonstrate how Jaeger works and looks like.
After, we talked about the future of OpenTracing, the new organization called OpenTelemetry, what's its goal and how to do that.
How Networking works with Data Science HungWei Chiu
Introduce the basic concept of networking model, including the OSI model and TCP/IP model.
Also introduce basic ideas/function in networking, such as routing, classification, security..etc
In this slide, I briefly introduce the container and how docker implement it, including the image and container itself. also show how docker setup the networking connectivity by default bridge network.
Build Your Own CaaS (Container as a Service)HungWei Chiu
In this slide, I introduce the kubernetes and show an example what is CaaS and what it can provides.
Besides, I also introduce how to setup a continuous integration and continuous deployment for the CaaS platform.
Control Your Network ASICs, What Benefits switchdev Can Bring UsHungWei Chiu
In this slide, I will introduce what is switchdev and what problem it wants to solve. To this day, most of the hardware switch's application-specific integrated circuit (ASIC) only be controlled by the vendor's proprietary binary (SDK) and it's inconvenient for system administrator/developer. In order to break the chip vendor's lock-in situation, the switchdev had been designed to solve this. With the help of switchdev, we can develop a general solution for hardware switch chips and break the connection with vendor's binary-blob (SDK).
In order words. Linux kernel can directly communicate with the vendor's proprietary ASIC now, and the software programmer/system administrator can easily control that ASIC to provide more flexible, powerful and programmable network function.
Overview of kubernetes network functionsHungWei Chiu
In this slides, I briefly introduce the network function in the kubernetes and explain how kubernetes implement them.
Those function includes the container network interface (CNI) and kubernetes service.
In the last, I introduce the multus CNI which is designed for multiple networks in the container and it's necessary in some use case, such as SDN/NFV/5G
Show how does the iptables works and use the source code to explain the workflow of iptables step by step. including the file-lock, the system call and the related command of iptables rules.
In the last, I also show the architecture of the iptables extension and use the demo to show how to write your own iptables modules.
Integration kubernetes with docker private registryHungWei Chiu
What's the problem when we want to use the private registry in the kubernetes.
We also want to run a Docker-In-Docker Pod to push the private image to that private registry and the kubernetes node will pull the private image to run
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-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
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 Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
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.
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/
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
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.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
2. Who Am I
• Hung-Wei Chiu (hwchiu)
• Member of Technical Staff at
Open Networking Foundation
• https://www.hwchiu.com
• Co-Organizer of SDNDS-TW/CNTUG
5. Functionality
• Ensure high availability and reliability
• Only send requests to servers that are online
• Provides the flexibility to add or subtract servers
as demand dictates
• Distributes client requests or network load
efficiently across multiple servers.
https://www.nginx.com/resources/glossary/load-balancing/
6. Distribute Algorithm
• Round Robin
• Header Hash
• Layer 3
• Layer 4
• Layer 7
• Server Status
• Connection number
• …etc
7. OSI / TCP-IP
OSI – TCP/IP
https://techdifferences.com/difference-between-tcp-ip-and-osi-model.html
Layer1
Layer2
Layer3
Layer4
Layer5
Layer6
Layer7
15. How it works
• Type
• Client-Side
• Middleware
• Connection Statue
• Proxy
• Transparency
16. Client-Side
• Client directly sends request to backend server.
• Query all possible addresses of backend
servers
• Apply distributed algorithm
• Send request to backend server
• Someone should provide address list of all
backend server
21. Real Case
• gRPC is a layer 7 protocol, multiple gRPC request
rely on the same TCP connection.
• gRPC in Kubernetes environment
• Server type: Headless
• Return a set of PodIPs
• https://medium.com/google-cloud/loadbalancing-
grpc-for-kubernetes-cluster-services-3ba9a8d8fc03
22. Middleware
• Client sends packets to a middleware
• Middleware handles the traffic load-balancing
• Client doesn’t need to know the IP address of
backend servers, only the middleware.
• Different implementation
• Proxy
• Transparency
23. Proxy
• Usually, a demand daemon to handle the
incoming traffic.
• Establish a new network connection.
• One to one
• One to many
• SSL-terminator
25. Real Case
• gRPC is a layer 7 protocol, multiple gRPC request rely on the
same TCP connection.
• Layer 4 proxy can’t identify gRPC connection.
• All gRPC request will be forward to same backend server.
• Layer 7 proxy if supports gRPC
• One to Many
• Identify gRPC format
• Envoy/LinkerD
https://www.bugsnag.com/blog/envoy
30. Transparency
• Modify packets to make it be routed to backend
server.
• Keep the same connection, no additional one.
• Client still doesn’t know the IP address of
backend servers.
33. Real Case
• gRPC is a layer 7 protocol, multiple gRPC
request rely on the same TCP connection.
• gRPC load-balancing can’t work correctly in this
mode.
• Only single TCP connection.
• TCP is a connection based protocol (3 way
handshake)
36. Example
• Kubernetes Service (by default)
• ClusterIP/NodeIP
• Packet are modified by iptables
• Connection persistence are maintained by
kernel conntrack.
47. Answer
• Only the first packet meets NAT rules
• Kernel modifies the packets for you
• You need the conntrack tool to control it.
• You should choose the destination before you
see the real data packets.
48. Kubernetes service
• People always said kubernetes only supports
layer 4 load-balancing
• Is it possible to provide layer 7 load-balancing in
?
• Without modifying kubernetes source code
49. I think
• For normal TCP implementation, No.
• Should be Yes for customized TCP protocol
• Real zero-RTT TCP.
• How about other protocols ?
• UDP ?
50. DEMO
• Source code
• https://github.com/cloud-native-taiwan/k8s-
course/pull/5/files
• Modify the iptables linux kernel module
• Statistic module
• Parse the UDP payload and try to match