This document provides an overview of a presentation on Linux networking. The agenda includes topics like ARP, interface manipulation, network troubleshooting, routing, network bonding, network namespaces, kernel network parameters, and interview questions. It notes that the presentation will demonstrate over 30 commands related to networking and that there are often multiple ways to solve exercises. It encourages asking questions to aid learning.
The document provides an overview of Kubernetes networking concepts including single pod networking, pod to pod communication, service discovery and load balancing, external access patterns, network policies, Istio service mesh, multi-cluster networking, and best practices. It covers topics such as pod IP addressing, communication approaches like L2, L3, overlays, services, ingress controllers, network policies, multi-cluster use cases and deployment options.
Kubespray and Ansible can be used to automate the installation of Kubernetes in a production-ready environment. Kubespray provides tools to configure highly available Kubernetes clusters across multiple Linux distributions. Ansible is an IT automation tool that can deploy software and configure systems. The document then provides a 6 step guide for installing Kubernetes on Ubuntu using kubeadm, including installing Docker, kubeadm, kubelet and kubectl, disabling swap, configuring system parameters, initializing the cluster with kubeadm, and joining nodes. It also briefly explains Kubernetes architecture including the master node, worker nodes, addons, CNI, CRI, CSI and key concepts like pods, deployments, networking,
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.
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.
This talk discusses the core concepts behind the Kubernetes extensibility model. We are going to see how to implement new CRDs, operators and when to use them to automate the most critical aspects of your Kubernetes clusters.
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
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.
Cilium - Network security for microservicesThomas Graf
The document discusses how BPF and XDP are revolutionizing network security and performance for microservices. BPF allows profiling, tracing, and running programs at the network driver level. It also enables highly performant networking functions like DDoS mitigation using XDP. Cilium uses BPF to provide layer 3-7 network security for microservices with policies based on endpoints, identities, and HTTP protocols. It integrates with Kubernetes to define network policies and secure microservice communication and APIs using eBPF programs for filtering and proxying.
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, an...Brian Grant
Kubernetes can run application containers on clusters of physical or virtual machines.
It can also do much more than that.
Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring.
However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity.
This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes.
This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.
DockerCon 2017 - Cilium - Network and Application Security with BPF and XDPThomas Graf
This talk will start with a deep dive and hands on examples of BPF, possibly the most promising low level technology to address challenges in application and network security, tracing, and visibility. We will discuss how BPF evolved from a simple bytecode language to filter raw sockets for tcpdump to the a JITable virtual machine capable of universally extending and instrumenting both the Linux kernel and user space applications. The introduction is followed by a concrete example of how the Cilium open source project applies BPF to solve networking, security, and load balancing for highly distributed applications. We will discuss and demonstrate how Cilium with the help of BPF can be combined with distributed system orchestration such as Docker to simplify security, operations, and troubleshooting of distributed applications.
The Linux kernel is undergoing the most fundamental architecture evolution in history and is becoming a microkernel. Why is the Linux kernel evolving into a microkernel? The potentially biggest fundamental change ever happening to the Linux kernel. This talk covers how companies like Facebook and Google use BPF to patch 0-day exploits, how BPF will change the way features are added to the kernel forever, and how BPF is introducing a new type of application deployment method for the Linux kernel.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called pods. Kubernetes masters manage the cluster and make scheduling decisions while nodes run the pods and containers. It uses labels and selectors to identify and group related application objects together. Services provide a single endpoint for pods, while deployments help manage replicated applications. Kubernetes provides mechanisms for storage, configuration, networking, security and other functionality to help run distributed systems reliably at scale.
This document provides an overview and agenda for a Docker networking deep dive presentation. The presentation covers key concepts in Docker networking including libnetwork, the Container Networking Model (CNM), multi-host networking capabilities, service discovery, load balancing, and new features in Docker 1.12 like routing mesh and secured control/data planes. The agenda demonstrates Docker networking use cases like default bridge networks, user-defined bridge networks, and overlay networks. It also covers networking drivers, Docker 1.12 swarm mode networking functionality, and how concepts like routing mesh and load balancing work.
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
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
Kubernetes is a platform for managing containerized workloads and services that provides a container-centric management environment. It aims to provide high utilization, high availability, minimize fault recovery time, and reduce the probability of correlated failures through a declarative job specification language, name service integration, real-time job monitoring, and analyzing and simulating system behavior using APIs and dashboards. Kubernetes can manage 100,000s of jobs, 1000s of applications across multiple clusters each with 10,000s of machines.
Boosting I/O Performance with KVM io_uringShapeBlue
Storage performance is becoming much more important. KVM io_uring attempts to bring the I/O performance of a virtual machine on almost the same level of bare metal. Apache CloudStack has support for io_uring since version 4.16. Wido will show the difference in performance io_uring brings to the table.
Wido den Hollander is the CTO of CLouDinfra, an infrastructure company offering total Webhosting solutions. CLDIN provides datacenter, IP and virtualization services for the companies within TWS. Wido den Hollander is a PMC member of the Apache CloudStack Project and a Ceph expert. He started with CloudStack 9 years ago. What attracted his attention is the simplicity of CloudStack and the fact that it is an open-source solution. During the years Wido became a contributor, a PMC member and he was a VP of the project for a year. He is one of our most active members, who puts a lot of efforts to keep the project active and transform it into a turnkey solution for cloud builders.
-----------------------------------------
The CloudStack European User Group 2022 took place on 7th April. The day saw a virtual get together for the European CloudStack Community, hosting 265 attendees from 25 countries. The event hosted 10 sessions with from leading CloudStack experts, users and skilful engineers from the open-source world, which included: technical talks, user stories, new features and integrations presentations and more.
------------------------------------------
About CloudStack: https://cloudstack.apache.org/
A brief study on Kubernetes and its componentsRamit Surana
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. Using the concepts of "labels" and "pods", it groups the containers which make up an application into logical units for easy management and discovery.
This document provides an overview of Kubernetes including:
1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications.
2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
Cilium - Bringing the BPF Revolution to Kubernetes Networking and SecurityThomas Graf
BPF is one of the fastest emerging technologies of the Linux kernel. The talk provides an introduction to Cilium which brings the powers of BPF to Kubernetes and other orchestration systems to provide highly scalable and efficient networking, security and load balancing for containers and microservices. The talk will provide an introduction to the capabilities of Cilium today but also deep dives into the emerging roadmap involving networking at the socket layer and service mesh datapath capabilities to provide highly efficient connectivity between cloud native apps and sidecar proxies.
Kubernetes is an open-source container cluster manager that was originally developed by Google. It was created as a rewrite of Google's internal Borg system using Go. Kubernetes aims to provide a declarative deployment and management of containerized applications and services. It facilitates both automatic bin packing as well as self-healing of applications. Some key features include horizontal pod autoscaling, load balancing, rolling updates, and application lifecycle management.
The internals and the latest trends of container runtimesAkihiro Suda
The document discusses the internals and latest trends of container runtimes. It describes how container runtimes like Docker use kernel features like namespaces and cgroups to isolate containers. It explains how containerd and runc work together to manage the lifecycles of container processes. It also covers security measures like capabilities, AppArmor, and SELinux that container runtimes employ to safeguard the host system.
OpenStack DevStack Install - 2부 (Multi-nodes)Ian Choi
OLC 온라인 강좌 중 DevStack에 대한 두 번째 자료입니다.
( URL: http://olc.kr/course/course_online_view.jsp?id=480&cid=523 )
DevStack은 OpenStack을 실제 구성하는 대신, 개발 및 테스트 용도로 쉽게 설치 가능한 스크립트입니다.
2부에서는 Multi-nodes 모드 설치 과정을 설명하며, Icehouse Release 기반의 실습 내용을 포함하였습니다.
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
LinuxCon 2015 Linux Kernel Networking WalkthroughThomas Graf
This presentation features a walk through the Linux kernel networking stack for users and developers. It will cover insights into both, existing essential networking features and recent developments and will show how to use them properly. Our starting point is the network card driver as it feeds a packet into the stack. We will follow the packet as it traverses through various subsystems such as packet filtering, routing, protocol stacks, and the socket layer. We will pause here and there to look into concepts such as networking namespaces, segmentation offloading, TCP small queues, and low latency polling and will discuss how to configure them.
Linux Foundation Mentorship Sessions - Kernel Livepatch: An IntroductionMarcos de Souza
Presented at the Linux Foundation Mentorship Sessions, this talk had the goal to present how livepatches interact with the Linux kernel, and how they are used.
This document provides an overview of iptables, the Linux firewall. It explains that iptables contains tables which contain chains, and chains contain rules. The main tables are filter, nat, mangle, and raw. The filter table contains the INPUT, OUTPUT, and FORWARD chains. The nat table contains PREROUTING, POSTROUTING, and OUTPUT chains. Chains contain rules that define packet filtering criteria and targets. Understanding iptables' structure of tables, chains and rules is essential for effectively managing Linux firewall rules.
Cilium - Network security for microservicesThomas Graf
The document discusses how BPF and XDP are revolutionizing network security and performance for microservices. BPF allows profiling, tracing, and running programs at the network driver level. It also enables highly performant networking functions like DDoS mitigation using XDP. Cilium uses BPF to provide layer 3-7 network security for microservices with policies based on endpoints, identities, and HTTP protocols. It integrates with Kubernetes to define network policies and secure microservice communication and APIs using eBPF programs for filtering and proxying.
WSO2Con US 2015 Kubernetes: a platform for automating deployment, scaling, an...Brian Grant
Kubernetes can run application containers on clusters of physical or virtual machines.
It can also do much more than that.
Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring.
However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity.
This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes.
This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.
DockerCon 2017 - Cilium - Network and Application Security with BPF and XDPThomas Graf
This talk will start with a deep dive and hands on examples of BPF, possibly the most promising low level technology to address challenges in application and network security, tracing, and visibility. We will discuss how BPF evolved from a simple bytecode language to filter raw sockets for tcpdump to the a JITable virtual machine capable of universally extending and instrumenting both the Linux kernel and user space applications. The introduction is followed by a concrete example of how the Cilium open source project applies BPF to solve networking, security, and load balancing for highly distributed applications. We will discuss and demonstrate how Cilium with the help of BPF can be combined with distributed system orchestration such as Docker to simplify security, operations, and troubleshooting of distributed applications.
The Linux kernel is undergoing the most fundamental architecture evolution in history and is becoming a microkernel. Why is the Linux kernel evolving into a microkernel? The potentially biggest fundamental change ever happening to the Linux kernel. This talk covers how companies like Facebook and Google use BPF to patch 0-day exploits, how BPF will change the way features are added to the kernel forever, and how BPF is introducing a new type of application deployment method for the Linux kernel.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called pods. Kubernetes masters manage the cluster and make scheduling decisions while nodes run the pods and containers. It uses labels and selectors to identify and group related application objects together. Services provide a single endpoint for pods, while deployments help manage replicated applications. Kubernetes provides mechanisms for storage, configuration, networking, security and other functionality to help run distributed systems reliably at scale.
This document provides an overview and agenda for a Docker networking deep dive presentation. The presentation covers key concepts in Docker networking including libnetwork, the Container Networking Model (CNM), multi-host networking capabilities, service discovery, load balancing, and new features in Docker 1.12 like routing mesh and secured control/data planes. The agenda demonstrates Docker networking use cases like default bridge networks, user-defined bridge networks, and overlay networks. It also covers networking drivers, Docker 1.12 swarm mode networking functionality, and how concepts like routing mesh and load balancing work.
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
A basic introductory slide set on Kubernetes: What does Kubernetes do, what does Kubernetes not do, which terms are used (Containers, Pods, Services, Replica Sets, Deployments, etc...) and how basic interaction with a Kubernetes cluster is done.
Kubernetes is a platform for managing containerized workloads and services that provides a container-centric management environment. It aims to provide high utilization, high availability, minimize fault recovery time, and reduce the probability of correlated failures through a declarative job specification language, name service integration, real-time job monitoring, and analyzing and simulating system behavior using APIs and dashboards. Kubernetes can manage 100,000s of jobs, 1000s of applications across multiple clusters each with 10,000s of machines.
Boosting I/O Performance with KVM io_uringShapeBlue
Storage performance is becoming much more important. KVM io_uring attempts to bring the I/O performance of a virtual machine on almost the same level of bare metal. Apache CloudStack has support for io_uring since version 4.16. Wido will show the difference in performance io_uring brings to the table.
Wido den Hollander is the CTO of CLouDinfra, an infrastructure company offering total Webhosting solutions. CLDIN provides datacenter, IP and virtualization services for the companies within TWS. Wido den Hollander is a PMC member of the Apache CloudStack Project and a Ceph expert. He started with CloudStack 9 years ago. What attracted his attention is the simplicity of CloudStack and the fact that it is an open-source solution. During the years Wido became a contributor, a PMC member and he was a VP of the project for a year. He is one of our most active members, who puts a lot of efforts to keep the project active and transform it into a turnkey solution for cloud builders.
-----------------------------------------
The CloudStack European User Group 2022 took place on 7th April. The day saw a virtual get together for the European CloudStack Community, hosting 265 attendees from 25 countries. The event hosted 10 sessions with from leading CloudStack experts, users and skilful engineers from the open-source world, which included: technical talks, user stories, new features and integrations presentations and more.
------------------------------------------
About CloudStack: https://cloudstack.apache.org/
A brief study on Kubernetes and its componentsRamit Surana
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. Using the concepts of "labels" and "pods", it groups the containers which make up an application into logical units for easy management and discovery.
This document provides an overview of Kubernetes including:
1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications.
2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
Cilium - Bringing the BPF Revolution to Kubernetes Networking and SecurityThomas Graf
BPF is one of the fastest emerging technologies of the Linux kernel. The talk provides an introduction to Cilium which brings the powers of BPF to Kubernetes and other orchestration systems to provide highly scalable and efficient networking, security and load balancing for containers and microservices. The talk will provide an introduction to the capabilities of Cilium today but also deep dives into the emerging roadmap involving networking at the socket layer and service mesh datapath capabilities to provide highly efficient connectivity between cloud native apps and sidecar proxies.
Kubernetes is an open-source container cluster manager that was originally developed by Google. It was created as a rewrite of Google's internal Borg system using Go. Kubernetes aims to provide a declarative deployment and management of containerized applications and services. It facilitates both automatic bin packing as well as self-healing of applications. Some key features include horizontal pod autoscaling, load balancing, rolling updates, and application lifecycle management.
The internals and the latest trends of container runtimesAkihiro Suda
The document discusses the internals and latest trends of container runtimes. It describes how container runtimes like Docker use kernel features like namespaces and cgroups to isolate containers. It explains how containerd and runc work together to manage the lifecycles of container processes. It also covers security measures like capabilities, AppArmor, and SELinux that container runtimes employ to safeguard the host system.
OpenStack DevStack Install - 2부 (Multi-nodes)Ian Choi
OLC 온라인 강좌 중 DevStack에 대한 두 번째 자료입니다.
( URL: http://olc.kr/course/course_online_view.jsp?id=480&cid=523 )
DevStack은 OpenStack을 실제 구성하는 대신, 개발 및 테스트 용도로 쉽게 설치 가능한 스크립트입니다.
2부에서는 Multi-nodes 모드 설치 과정을 설명하며, Icehouse Release 기반의 실습 내용을 포함하였습니다.
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
LinuxCon 2015 Linux Kernel Networking WalkthroughThomas Graf
This presentation features a walk through the Linux kernel networking stack for users and developers. It will cover insights into both, existing essential networking features and recent developments and will show how to use them properly. Our starting point is the network card driver as it feeds a packet into the stack. We will follow the packet as it traverses through various subsystems such as packet filtering, routing, protocol stacks, and the socket layer. We will pause here and there to look into concepts such as networking namespaces, segmentation offloading, TCP small queues, and low latency polling and will discuss how to configure them.
Linux Foundation Mentorship Sessions - Kernel Livepatch: An IntroductionMarcos de Souza
Presented at the Linux Foundation Mentorship Sessions, this talk had the goal to present how livepatches interact with the Linux kernel, and how they are used.
This document provides an overview of iptables, the Linux firewall. It explains that iptables contains tables which contain chains, and chains contain rules. The main tables are filter, nat, mangle, and raw. The filter table contains the INPUT, OUTPUT, and FORWARD chains. The nat table contains PREROUTING, POSTROUTING, and OUTPUT chains. Chains contain rules that define packet filtering criteria and targets. Understanding iptables' structure of tables, chains and rules is essential for effectively managing Linux firewall rules.
Unifying Network Filtering Rules for the Linux Kernel with eBPFNetronome
At the core of fast network packet processing lies the ability to filter packets, or in other words, to apply a set of rules on packets, usually consisting of a pattern to match (L2 to L4 source and destination addresses and ports, protocols, etc.) and corresponding actions (redirect to a given queue, or drop the packet, etc.). Over the years, several filtering frameworks have been added to Linux. While at the lower level, ethtool can be used to configure N-tuple rules on the receive side for the hardware, the upper layers of the stack got equipped with rules for firewalling (Netfilter), traffic shaping (TC), or packet switching (Open vSwitch for example).
In this presentation, Quentin Monnet reviewed the needs for those filtering frameworks and the particularities of each one. Then focuses on the changes brought by eBPF and XDP in this landscape: as BPF programs allow for very flexible processing and can be attached very low in the stack—at the driver level, or even run on the NIC itself—they offer filtering capabilities with no precedent in terms of performance and versatility in the kernel. Lastly, the third part explores potential leads in order to create bridges between the different rule formats and to make it easier for users to build their filtering eBPF programs.
Install FD.IO VPP On Intel(r) Architecture & Test with Trex*Michelle Holley
This demo/lab will guide you to install and configure FD.io Vector Packet Processing (VPP) on Intel® Architecture (AI) Server. You will also learn to install TRex* on another AI Server to send packets to the VPP, and use some VPP commands to forward packets back to the TRex*.
Speaker: Loc Nguyen. Loc is a Software Application Engineer in Data Center Scale Engineering Team. Loc joined Intel in 2005, and has worked in various projects. Before joining the network group, Loc worked in High-Performance Computing area and supported Intel® Xeon Phi™ Product Family. His interest includes computer graphics, parallel computing, and computer networking.
The presentation from Joseph Muli and Rajesh Dutta from Xebia on "How eBPF boost up Kubernetes service networking performance" - as presented on the 13th of April, 2023 at the Site Reliability Engineering NL MeetUp.
This document discusses network address translation (NAT) as a solution to problems with IP address depletion and routing scaling in the IP internet. It provides an introduction to NAT, describing it as a short-term solution that translates IP addresses to conserve addresses and allow routing to continue functioning. It then covers the different types of NAT implementations (static, dynamic, masquerading), how NAT works at a technical level using IP chains and IP tables, and considerations around when and why NAT may be used as well as limitations.
The document discusses Linux firewalls and the iptables software. It provides information on how iptables organizes rules into tables and chains and describes some common iptables commands. The key points are:
- Iptables is a net filter software that controls inbound and outbound traffic through rules organized in tables (filter, nat, mangle) and chains.
- Common commands include iptables -L to list rules, iptables -A to append rules, and iptables -F to flush/delete all rules.
- Examples are given of iptables rules to block ping requests between machines and restrict the Ubuntu machine's access to Facebook.
This document discusses iptables, a firewall program used in Linux operating systems. Iptables allows administrators to configure rules that filter network packets and protect private networks. It provides stateful packet inspection, support for network address translation, and rate limiting capabilities. Iptables works by defining tables of chains containing rules that are applied to packets. Common chains include INPUT, OUTPUT, and FORWARD. The document also provides examples of iptables rules for allowing or blocking ping, filtering by IP address or port, saving and restoring rulesets, and preventing denial of service attacks.
BPF began as an instruction set for filtering network packets over 30 years ago. In 2011, a startup sought to virtualize networking and build software-defined networks using a technology called iovisor. This led to challenges around crashing kernels and security issues. To address these, the startup developed a new instruction set called extended BPF and a verifier. Getting this technology accepted upstream required building reputation in the kernel and LLVM communities over several years by addressing concerns, making ideas familiar, and demonstrating performance benefits before the first patches were accepted in 2014-2015.
Linux iptables Pocket Reference 1st Edition Gregor N. Purdy download pdfsariyealpire
Linux iptables Pocket Reference 1st Edition Gregor N. Purdy available for immediate download upon payment at https://ebookgate.com/product/linux-iptables-pocket-reference-1st-edition-gregor-n-purdy. More textbooks and ebooks in https://ebookgate.com Full chapter PDF available.
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.
Taking Security Groups to Ludicrous Speed with OVS (OpenStack Summit 2015)Thomas Graf
Open vSwitch (OVS) has long been a critical component of the Neutron's reference implementation, offering reliable and flexible virtual switching for cloud environments.
Being an early adopter of the OVS technology, Neutron's reference implementation made some compromises to stay within the early, stable featureset OVS exposed. In particular, Security Groups (SG) have been so far implemented by leveraging hybrid Linux Bridging and IPTables, which come at a significant performance overhead. However, thanks to recent developments and ongoing improvements within the OVS community, we are now able to implement feature-complete security groups directly within OVS.
In this talk we will summarize the existing Security Groups implementation in Neutron and compare its performance with the Open vSwitch-only approach. We hope this analysis will form the foundation of future improvements to the Neutron Open vSwitch reference design.
The document discusses configuring NetFlow Top Talkers using either Cisco IOS CLI commands or SNMP commands. NetFlow Top Talkers identifies heaviest traffic patterns and most-used applications in the network. It can be configured using CLI commands directly on the router or by using SNMP commands from a network management workstation to interface with the NetFlow MIB.
Linux Performance Analysis: New Tools and Old SecretsBrendan Gregg
Talk for USENIX/LISA2014 by Brendan Gregg, Netflix. At Netflix performance is crucial, and we use many high to low level tools to analyze our stack in different ways. In this talk, I will introduce new system observability tools we are using at Netflix, which I've ported from my DTraceToolkit, and are intended for our Linux 3.2 cloud instances. These show that Linux can do more than you may think, by using creative hacks and workarounds with existing kernel features (ftrace, perf_events). While these are solving issues on current versions of Linux, I'll also briefly summarize the future in this space: eBPF, ktap, SystemTap, sysdig, etc.
IP tables-the linux firewall. This link shows the pdf document that you can download.This is a useful document for the beginners, lays the attention to know more about the topic.
Zero-overhead Container Networking with eBPF and Netkit by Liz RiceScyllaDB
Introducing Netkit: a new eBPF enhancement replacing veth connections in container networking. Say goodbye to the overhead slowing down container apps. With Netkit, container networking now matches the speed of host networking. Fast, efficient, and ready to deploy. #DevOps #eBPF
The Next Generation Firewall for Red Hat Enterprise Linux 7 RCThomas Graf
FirewallD provides firewall management as a service in RHEL 7, abstracting policy definition and handling configuration. The kernel includes new filtering capabilities like connection tracking targets and extended accounting. Nftables, a new packet filtering subsystem to eventually replace iptables, uses a state machine-based approach with unified nft user interface.
This chapter discusses iptables, the program used to configure Linux firewalls using Netfilter. Iptables provides more features than older programs like ipchains and allows packets to be filtered through built-in chains. The document explains how packets flow differently with Netfilter compared to older implementations, traversing a single chain rather than multiple chains. It also provides the basic syntax for iptables commands.
SFO15-202: Towards Multi-Threaded Tiny Code Generator (TCG) in QEMULinaro
This document discusses moving QEMU's Tiny Code Generator (TCG) to a multi-threaded model to take advantage of multi-core systems. It describes the current single-threaded TCG process model and global state. Approaches considered for multi-threading include using threads/locks, processes/IPC, or rewriting TCG from scratch. Key challenges addressed are protecting code generation globals and implementing atomic memory operations and memory barriers in a multi-threaded context. Patches have been contributed to address these issues and enable multi-threaded TCG. Further work remains to fully enable it across all QEMU backends and architectures.
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
Learning how AWS implement AWS VPC CNIHungWei Chiu
The document discusses AWS VPC CNI (Container Network Interface) and how it enables networking connectivity for Kubernetes pods running on Amazon EC2 instances within an AWS VPC (Virtual Private Cloud). It aims to provide high throughput and availability, low latency networking while allowing users to express and enforce network policies and isolation comparable to using native EC2 networking and security groups. AWS VPC CNI assigns pods IP addresses from the same subnet as the EC2 instance so traffic can bypass overlay networking for improved performance and visibility within the VPC.
The relationship between Docker, Kubernetes and CRIHungWei Chiu
Docker, Kubernetes, and CRI standards allow different container solutions to work together. Docker contributed to the OCI specifications for container images and runtimes. Kubernetes uses the Container Runtime Interface (CRI) to support multiple container runtimes like Docker, Containerd, and CRI-O. This allows Kubernetes to work with different container solutions while maintaining compatibility through open standards.
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 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 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.
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.
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
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
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.
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.
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.
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.
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Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
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Visual Effects:
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Post-Production Tool:
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After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.
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FL Studio is a Digital Audio Workstation (DAW) software used for music production. It's developed by the Belgian company Image-Line. FL Studio allows users to create and edit music using a graphical user interface with a pattern-based music sequencer.
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
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Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
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In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
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Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
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Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
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17. Table
filter nat raw
Different functions.
Filter the
packets
Change
the IP
Address
Handle
for non-
tracking
packets.
mangle
Change
packet
informati
on.
36. Another app is currently holding
the xtables lock. Perhaps you
want to use the -w option?
37. Whathappen
iptables command needs a
communication between user and
kernel space.
It need a lock to make sure the
consistence
iptables will exit if it can’t acquire the
lock by default.
Use the –w option to wait the lock.
48. libiptc
Library which manipulates firewall
rules
Use the system call to interact with
kernel
○ GetSocketOpt
○ SetSocketOpt
Maintain a cache for each iptables
command.
49. workflows
Initial the libiptc to fetch all current
rules.
Store those rules into a local cache
Operates rules in that cache
Commit the change to the kernel.
50. workflows
Initial the libiptc to fetch all current
rules.
In the iptables, we use a handle
(xtc_handle) to represent the cache.
73. Architecture
For each extension, you need to
prepare two things.
User-space library to parse the
command.
Kernel-space module to implement
that function.
90. summary
The iptables system includes the
user-space tool and kernel-space
system.
We focus on how user-space tools
works today.
91. iptables
iptables need a file lock to protect the
rules.
iptables use the library (libiptc) to
control the rules via system call.
You can extend the iptables by
implement the extension
match/target function.
93. Extenstion
For each iptables extension module,
you should both user-space and
kernel-space.
Please make sure the kernel version
consistent
Use—Space
○ Implement the arguments and store the
data into pre-defined structure.
Kernel-Space
○ Implement the match function