Deep dive into Kubernetes Networking and presentation of a usecase of running network services like DNS on a bare metal Kubernetes cluster for a major Danish e-sport event.
Kubernetes pods / container scheduling 201 - pod and node affinity and anti-affinity, node selectors, taints and tolerations, persistent volumes constraints, scheduler configuration and custom scheduler development and more.
This presentation explains the basics of Kubernetes ingress traffic management functionality, and how it can be used to simplify managing applications across different environments - in the cloud or on premise.
Lessons learned with kubernetes in productionat PlayPassPeter Vandenabeele
Lessons learned with kubernetes in productionat PlayPass, presented at the 6th Docker Birthday Meetup in Antwerpen. What went well and what are some open issues. Also, we discussed some security measures after the presentations.
Setting up CI/CD pipeline with Kubernetes and Kublr step-by-stepOleg Chunikhin
This document outlines the steps to set up a CI/CD pipeline with Kubernetes and Kublr. It describes using Kublr to automate the deployment and configuration of Kubernetes clusters. It then discusses setting up the necessary DevOps tools like Jenkins, Nexus, and monitoring within the Kubernetes environment to enable continuous integration and continuous delivery of applications. The general approach involves connecting these tools with a Git repository to build, test, and deploy code changes automatically through the pipeline to development and production clusters.
Implement Advanced Scheduling Techniques in Kubernetes Kublr
Is advanced scheduling in Kubernetes achievable? Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations?
Oleg Chunikhin addressed those questions and demonstrated techniques for implementing advanced scheduling. For example, using spot instances and cost-effective resources on AWS, coupled with the ability to deliver a minimum set of functionalities that cover the majority of needs – without configuration complexity. You’ll get a run-down of the pitfalls and things to keep in mind for this route.
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.
This document provides an overview of Ingress in Kubernetes, including:
1) It describes the different types of Kubernetes services - ClusterIP, NodePort, LoadBalancer, ExternalName, and Headless - and examples of using each type.
2) It explains that Ingress resources define routing rules to services, and Ingress controllers watch for Ingress resources and update rules to satisfy conditions.
3) Ingress allows for name-based and path-based routing to services, and controllers provide a default backend for requests not handled by Ingress rules.
Self-healing does not equal self-healing. There are multiple layers
to it, whether a self-healing infrastructure, cluster, pods, or Kubernetes. Kubernetes itself ensures self-healing pods. But how do you ensure your applications, whose reliability depends on every single layer, are truly reliable?
In this presentation we discuss aspects of reliability and self-healing in the different layers of a comprehensive container management stack; what Kubernetes does and doesn't do (at least not by default), and what you should look out for to ensure true reliable applications.
Arkena's video-on-demand platform is used as backend by major european channels (TF1 / beIN SPORTS / Elisa) to propose a non-linear experience to their customers.
Previously hosted on Heroku, the number of our users is increasing constantly. In order to optimize resources we decided to move on a bare metal infrastructure powered by Kubernetes.
We'll share thoughts, feedbacks and technical details about this successful transition.
Sched Link:
Go fit perfectly inside containers, you can ship apps as tiny images on k8s, distributing them across the globe. Gianluca will show how InfluxData debugs containers running on Kubernetes to allow sysadmins and developers to troubleshoot and replicate issues using core dump, debuggers, and logs.
Go applications are perfect to be run inside a container. You can build a single binary, a tiny Docker image and you can ship them on your Kubernetes cluster. A successful production environment requires stability and simplicity, it needs to be easy to troubleshoot and operators need to be able to get all the information developers will need to fix a bug. During this talk, Gianluca will share what influxData is doing to allow developers and system administrator to work together, understanding problems running live at scale on Kubernetes and how to escalate them down to Software Engineer using logs, delve, gdb, core dumps, and traces to replicate and fix issues.
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
Demystifying the Nuts & Bolts of Kubernetes ArchitectureAjeet Singh Raina
The document summarizes the architecture of Kubernetes. It uses an analogy of cargo ships and control ships to explain the different components. The master node components like the scheduler, ETCD cluster, and controller manager manage and monitor the worker nodes. The worker node components like Kubelet and kube-proxy run on each node and ensure pods and containers are running properly and can communicate. Pods are the basic building blocks that can contain one or more containers.
The document discusses the 12 factors approach to building cloud-native applications and how they relate to Kubernetes. It covers each of the 12 factors, providing examples of how they can be implemented using Kubernetes concepts like deployments, services, secrets and configmaps. The key takeaways are to decouple infrastructure complexity from applications, prefer managed services for persistence, keep environments similar, design stateless applications that can scale, and implement proper logging and monitoring.
In this meetup, Oleg, CTO at Kublr, walks you through the basics of K8s persistence management functionality and how it can be used to simplify managing persistent applications across different environments - in the cloud or on premise. Oleg will use a demo environment with clusters in different clouds to show K8s persistence in practice.
We will cover:
• Persistent data abstractions in K8s: persistent volumes (PV) and their attributes
• PV specifics in different clouds
• Using PV in K8s: persistent volume claims (PVC) and storage classes (SC)
• Automatic volume provisioning
• Persistence and scheduling interrelationships
• Practical examples
Kubernetes (K8s) is a powerful and flexible open source container orchestration system. The power of K8s comes from its modularity and simplicity of basic concepts. Each of these basic concepts build on the other and, from the most basic elements to more advanced ones, each is responsible for its own well-defined logic and behavior.
Orchestrating Microservices with Kubernetes Weaveworks
- Kubernetes Concepts
- Hands on: Using kubeadm to stand up a Kubernetes cluster
- Hands on: Using kubectl to make changes to running Kubernetes cluster
Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.
During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
Ever wondered how the K8s scheduler works, and how can you “help” it make the right decision for your application? In this session, we'll cover several different scheduling use-cases in K8s, what scheduling techniques are required in each and when to use them.
Kubernetes was originally targeted for running large scale web applications.
I/O intensive workload represents a class of high-end applications such as network services, trading applications, database services that require high-speed access to hardware resources and often users specific hardware or CPU features to maximize their performance.
This document provides an overview of Kubernetes 101. It begins with asking why Kubernetes is needed and provides a brief history of the project. It describes containers and container orchestration tools. It then covers the main components of Kubernetes architecture including pods, replica sets, deployments, services, and ingress. It provides examples of common Kubernetes manifest files and discusses basic Kubernetes primitives. It concludes with discussing DevOps practices after adopting Kubernetes and potential next steps to learn more advanced Kubernetes topics.
An overview of the Kubernetes architectureIgor Sfiligoi
This talk provides a 101 introdution to Kubernetes from a user point of view.
Aimed at service providers, it was presented at the GPN Annual Meeting 2019. https://conferences.k-state.edu/gpn/
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.
Portable CI/CD Environment as Code with Kubernetes, Kublr and JenkinsKublr
How to establish Kubernetes as your infrastructure for a truly cloud native environment for optimal productivity and cost.
Using Kublr for infrastructure as code approach for fast, reliable and inexpensive production-ready DevOps environment setup bringing together a combination of technologies - Kubernetes; AWS Mixed Instance Policies, Spot Instances and availability zones; AWS EFS; Nexus and Jenkins.
Best practices based on open source tools such as Nexus and Jenkins.
How to tackle build process dilemmas and difficulties including managing dependencies, hermetic builds and build scripts.
This document provides an overview of Kubernetes concepts including architecture, fundamental objects like pods and services, and demonstrations. It begins with an agenda then covers Kubernetes architecture including the master node, worker nodes, and control loop. It describes core objects like pods, replica sets, deployments, services, and labels/selectors. The document demonstrates deploying and accessing the guestbook application using these objects. It concludes with asking for questions and describing goals for educational meetups on cloud native technologies.
CNTUG x SDN Meetup #33 Talk 1: 從 Cilium 認識 cgroup ebpf - RuianHanLing Shen
The document discusses Cilium and cgroup eBPF applications. It provides an overview of Cilium, a history of cgroup eBPF in Linux kernels dating back to 2016, and how Cilium uses cgroup eBPF to implement services load balancing and network policy enforcement in Kubernetes. Specifically, it describes how the Cilium agent programs cgroup eBPF maps and programs based on Kubernetes services and endpoints, and how cgroup eBPF programs handle socket calls like connect and getpeername to implement load balancing and network address translation.
Kubernetes 1.16 and rancher 2.3 enhancementsSaiyam Pathak
Kubernetes 1.16 includes several new features such as IPV4/IPV6 dual stack support, PVC cloning, custom resource definition enhancements, and server-side apply moving to the API server. Rancher 2.3 provides the ability to reuse Kubernetes configurations across clusters and is the first to deliver general availability support for Windows containers and Kubernetes with Windows worker nodes. The document discusses these new features in Kubernetes 1.16 and enhancements in Rancher 2.3.
This document discusses deploying WSO2 middleware on Kubernetes. It provides an overview of Kubernetes architecture and components, and how various Kubernetes features like pods, replication controllers, services, and overlay networking are used. It also describes WSO2 Docker images, Carbon reference architectures for Kubernetes, and the deployment workflow. Monitoring of Kubernetes cluster health using tools like cAdvisor, Heapster, Grafana and InfluxDB is also covered briefly.
Kubernetes intro public - kubernetes user group 4-21-2015reallavalamp
Kubernetes Introduction - talk given by Daniel Smith at Kubenetes User Group meetup #2 in Mountain View on 4/21/2015.
Explains the basic concepts and principles of the Kubernetes container orchestration system.
Kubernetes in Highly Restrictive EnvironmentsKublr
Installing Kubernetes is easy. Ensuring it complies with your organization’s enterprise governance and security requirements isn’t.
How do you use the technologies while meeting enterprise security requirements? We'll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs.
This deck includes basic requirements for audit, security, authentication, authorization, integration with existing identity broker, logging, and monitoring. Additionally, we'll go into whether cloud-hosted Kubernetes cover these requirements, how to integrate a compliant Kubernetes installation with their existing cloud infrastructure and how to handle cross-team communication (network/compute/storage/security).
Since on-premise Kubernetes deployments have their challenges, limitations of a bare-metal installation, interactions with vSphere’s API, achieving HA, reliability and disaster recovery, as well as handling OS upgrades, security patches, and Kubernetes upgrades are also considered.
This document compares existing CNI plugins for Kubernetes and provides descriptions of popular plugins like Flannel, Calico, Kube-router, and AWS VPC CNI. It explains that CNI plugins provide the interface between container runtimes and network implementations, and describes the CNI workflow and requirements for pod networking in Kubernetes.
Arkena's video-on-demand platform is used as backend by major european channels (TF1 / beIN SPORTS / Elisa) to propose a non-linear experience to their customers.
Previously hosted on Heroku, the number of our users is increasing constantly. In order to optimize resources we decided to move on a bare metal infrastructure powered by Kubernetes.
We'll share thoughts, feedbacks and technical details about this successful transition.
Sched Link:
Go fit perfectly inside containers, you can ship apps as tiny images on k8s, distributing them across the globe. Gianluca will show how InfluxData debugs containers running on Kubernetes to allow sysadmins and developers to troubleshoot and replicate issues using core dump, debuggers, and logs.
Go applications are perfect to be run inside a container. You can build a single binary, a tiny Docker image and you can ship them on your Kubernetes cluster. A successful production environment requires stability and simplicity, it needs to be easy to troubleshoot and operators need to be able to get all the information developers will need to fix a bug. During this talk, Gianluca will share what influxData is doing to allow developers and system administrator to work together, understanding problems running live at scale on Kubernetes and how to escalate them down to Software Engineer using logs, delve, gdb, core dumps, and traces to replicate and fix issues.
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
Demystifying the Nuts & Bolts of Kubernetes ArchitectureAjeet Singh Raina
The document summarizes the architecture of Kubernetes. It uses an analogy of cargo ships and control ships to explain the different components. The master node components like the scheduler, ETCD cluster, and controller manager manage and monitor the worker nodes. The worker node components like Kubelet and kube-proxy run on each node and ensure pods and containers are running properly and can communicate. Pods are the basic building blocks that can contain one or more containers.
The document discusses the 12 factors approach to building cloud-native applications and how they relate to Kubernetes. It covers each of the 12 factors, providing examples of how they can be implemented using Kubernetes concepts like deployments, services, secrets and configmaps. The key takeaways are to decouple infrastructure complexity from applications, prefer managed services for persistence, keep environments similar, design stateless applications that can scale, and implement proper logging and monitoring.
In this meetup, Oleg, CTO at Kublr, walks you through the basics of K8s persistence management functionality and how it can be used to simplify managing persistent applications across different environments - in the cloud or on premise. Oleg will use a demo environment with clusters in different clouds to show K8s persistence in practice.
We will cover:
• Persistent data abstractions in K8s: persistent volumes (PV) and their attributes
• PV specifics in different clouds
• Using PV in K8s: persistent volume claims (PVC) and storage classes (SC)
• Automatic volume provisioning
• Persistence and scheduling interrelationships
• Practical examples
Kubernetes (K8s) is a powerful and flexible open source container orchestration system. The power of K8s comes from its modularity and simplicity of basic concepts. Each of these basic concepts build on the other and, from the most basic elements to more advanced ones, each is responsible for its own well-defined logic and behavior.
Orchestrating Microservices with Kubernetes Weaveworks
- Kubernetes Concepts
- Hands on: Using kubeadm to stand up a Kubernetes cluster
- Hands on: Using kubectl to make changes to running Kubernetes cluster
Incredibly powerful and flexible, Kubernetes role-based access control (RBAC) is an essential tool to effectively manage production clusters. Yet many Ops and DevOps engineers are still facing barriers to efficiently use it at scale. These include a steep learning curve, YAML-based configuration, lack of standardized best practices, and the general complexity of this functionality at large -- it truly can be somewhat overwhelming.
During this meetup Oleg, CTO at Kublr, will discuss Kubernetes RBAC concepts and objects. He'll explore different use cases ranging from simple permission management for in-cluster application accounts to integrations with external identity providers for SSO and enterprise user access management.
Leveraging the Kublr Platform, Oleg will demonstrate how it simplifies the management of access and RBAC rules in a cloud native environment while staying vendor-independent and compatible with any Kubernetes distribution.
Ever wondered how the K8s scheduler works, and how can you “help” it make the right decision for your application? In this session, we'll cover several different scheduling use-cases in K8s, what scheduling techniques are required in each and when to use them.
Kubernetes was originally targeted for running large scale web applications.
I/O intensive workload represents a class of high-end applications such as network services, trading applications, database services that require high-speed access to hardware resources and often users specific hardware or CPU features to maximize their performance.
This document provides an overview of Kubernetes 101. It begins with asking why Kubernetes is needed and provides a brief history of the project. It describes containers and container orchestration tools. It then covers the main components of Kubernetes architecture including pods, replica sets, deployments, services, and ingress. It provides examples of common Kubernetes manifest files and discusses basic Kubernetes primitives. It concludes with discussing DevOps practices after adopting Kubernetes and potential next steps to learn more advanced Kubernetes topics.
An overview of the Kubernetes architectureIgor Sfiligoi
This talk provides a 101 introdution to Kubernetes from a user point of view.
Aimed at service providers, it was presented at the GPN Annual Meeting 2019. https://conferences.k-state.edu/gpn/
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.
Portable CI/CD Environment as Code with Kubernetes, Kublr and JenkinsKublr
How to establish Kubernetes as your infrastructure for a truly cloud native environment for optimal productivity and cost.
Using Kublr for infrastructure as code approach for fast, reliable and inexpensive production-ready DevOps environment setup bringing together a combination of technologies - Kubernetes; AWS Mixed Instance Policies, Spot Instances and availability zones; AWS EFS; Nexus and Jenkins.
Best practices based on open source tools such as Nexus and Jenkins.
How to tackle build process dilemmas and difficulties including managing dependencies, hermetic builds and build scripts.
This document provides an overview of Kubernetes concepts including architecture, fundamental objects like pods and services, and demonstrations. It begins with an agenda then covers Kubernetes architecture including the master node, worker nodes, and control loop. It describes core objects like pods, replica sets, deployments, services, and labels/selectors. The document demonstrates deploying and accessing the guestbook application using these objects. It concludes with asking for questions and describing goals for educational meetups on cloud native technologies.
CNTUG x SDN Meetup #33 Talk 1: 從 Cilium 認識 cgroup ebpf - RuianHanLing Shen
The document discusses Cilium and cgroup eBPF applications. It provides an overview of Cilium, a history of cgroup eBPF in Linux kernels dating back to 2016, and how Cilium uses cgroup eBPF to implement services load balancing and network policy enforcement in Kubernetes. Specifically, it describes how the Cilium agent programs cgroup eBPF maps and programs based on Kubernetes services and endpoints, and how cgroup eBPF programs handle socket calls like connect and getpeername to implement load balancing and network address translation.
Kubernetes 1.16 and rancher 2.3 enhancementsSaiyam Pathak
Kubernetes 1.16 includes several new features such as IPV4/IPV6 dual stack support, PVC cloning, custom resource definition enhancements, and server-side apply moving to the API server. Rancher 2.3 provides the ability to reuse Kubernetes configurations across clusters and is the first to deliver general availability support for Windows containers and Kubernetes with Windows worker nodes. The document discusses these new features in Kubernetes 1.16 and enhancements in Rancher 2.3.
This document discusses deploying WSO2 middleware on Kubernetes. It provides an overview of Kubernetes architecture and components, and how various Kubernetes features like pods, replication controllers, services, and overlay networking are used. It also describes WSO2 Docker images, Carbon reference architectures for Kubernetes, and the deployment workflow. Monitoring of Kubernetes cluster health using tools like cAdvisor, Heapster, Grafana and InfluxDB is also covered briefly.
Kubernetes intro public - kubernetes user group 4-21-2015reallavalamp
Kubernetes Introduction - talk given by Daniel Smith at Kubenetes User Group meetup #2 in Mountain View on 4/21/2015.
Explains the basic concepts and principles of the Kubernetes container orchestration system.
Kubernetes in Highly Restrictive EnvironmentsKublr
Installing Kubernetes is easy. Ensuring it complies with your organization’s enterprise governance and security requirements isn’t.
How do you use the technologies while meeting enterprise security requirements? We'll summarize common prerequisites for running Kubernetes in production, and how to leverage fine-grained controls and separation of responsibilities to meet enterprise governance and security needs.
This deck includes basic requirements for audit, security, authentication, authorization, integration with existing identity broker, logging, and monitoring. Additionally, we'll go into whether cloud-hosted Kubernetes cover these requirements, how to integrate a compliant Kubernetes installation with their existing cloud infrastructure and how to handle cross-team communication (network/compute/storage/security).
Since on-premise Kubernetes deployments have their challenges, limitations of a bare-metal installation, interactions with vSphere’s API, achieving HA, reliability and disaster recovery, as well as handling OS upgrades, security patches, and Kubernetes upgrades are also considered.
This document compares existing CNI plugins for Kubernetes and provides descriptions of popular plugins like Flannel, Calico, Kube-router, and AWS VPC CNI. It explains that CNI plugins provide the interface between container runtimes and network implementations, and describes the CNI workflow and requirements for pod networking in Kubernetes.
OpenStack is a great way to build public, private and hybrid clouds,but deploying it at scale can be challenging. Watch this presentation to learn how:
*To install and configure your switches using the same tools used for your OpenStack servers.
*Akanda provides advanced layer 3-7 services to OpenStack VMs.
*To use OpenStack Neutron to configure VXLAN overlays for virtual layer 2 networking.
DPDK is a set of drivers and libraries that allow applications to bypass the Linux kernel and access network interface cards directly for very high performance packet processing. It is commonly used for software routers, switches, and other network applications. DPDK can achieve over 11 times higher packet forwarding rates than applications using the Linux kernel network stack alone. While it provides best-in-class performance, DPDK also has disadvantages like reduced security and isolation from standard Linux services.
Cilium - Fast IPv6 Container Networking with BPF and XDPThomas Graf
We present a new open source project which provides IPv6 networking for Linux Containers by generating programs for each individual container on the fly and then runs them as JITed BPF code in the kernel. By generating and compiling the code, the program is reduced to the minimally required feature set and then heavily optimised by the compiler as parameters become plain variables. The upcoming addition of the Express Data Plane (XDP) to the kernel will make this approach even more efficient as the programs will get invoked directly from the network driver.
[KubeCon NA 2020] containerd: Rootless Containers 2020Akihiro Suda
Rootless Containers means running the container runtimes (e.g. runc, containerd, and kubelet) as well as the containers without the host root privileges. The most significant advantage of Rootless Containers is that it can mitigate potential container-breakout vulnerability of the runtimes, but it is also useful for isolating multi-user environments on HPC hosts. This talk will contain the introduction to rootless containers and deep-dive topics about the recent updates such as Seccomp User Notification. The main focus will be on containerd (CNCF Graduated Project) and its consumer projects including Kubernetes and Docker/Moby, but topics about other runtimes will be discussed as well.
https://sched.co/fGWc
This document provides an overview of Vector Packet Processing (VPP), an open source packet processing platform developed as part of the FD.io project. VPP is based on DPDK for high performance packet processing in userspace. It includes a full networking stack and can perform L2/L3 forwarding and routing at speeds of over 14 million packets per second on a single core. VPP processing is divided into individual nodes connected by a graph. Packets are passed between nodes as vectors to support batch processing. VPP supports both single and multicore modes using different threading models. It can be used to implement routers, switches, and other network functions and topologies.
Kirill Tsym discusses Vector Packet Processing:
* Linux Kernel data path (in short), initial design, today's situation, optimization initiatives
* Brief overview of DPDK, Netmap, etc.
* Userspace Networking projects comparison: OpenFastPath, OpenSwitch, VPP.
* Introduction to VPP: architecture, capabilities and optimization techniques.
* Basic Data Flow and introduction to vectors.
* VPP Single and Multi-thread modes.
* Router and switch for namespaces example.
* VPP L4 protocol processing - Transport Layer Development Kit.
* VPP Plugins.
Kiril is a software developer at Check Point Software Technologies, part of Next Generation Gateway and Architecture team, developing proof of concept around DPDK and FD.IO VPP. He has years of experience in software, Linux kernel and networking development and has worked for Polycom, Broadcom and Qualcomm before joining Check Point.
Introducing Container Technology to TSUBAME3.0 SupercomputerAkihiro Nomura
Invited Talk in ISC High Performance 2019 Focus Session "Containers for Acceleration and Accessibility in HPC and Cloud Ecosystems" https://2019.isc-program.com/presentation/?id=inv_sp183&sess=sess177
1. Kubernetes services can be used to abstract external dependencies like databases and SaaS services, decoupling consumers from providers.
2. For databases, a service allows using a single-instance container database in test environments instead of a production cluster, without consumers needing different configurations.
3. For SaaS services, an ExternalName service type maps the service to the real URL in production but to a virtualization pod in tests, providing fake responses without consumers knowing.
Method of NUMA-Aware Resource Management for Kubernetes 5G NFV Clusterbyonggon chun
Introduce the container runtime environment which is set up with Kubernetes and various CRI runtimes(Docker, Containerd, CRI-O) and the method of NUMA-aware resource management(CPU Manager, Topology Manager, Etc) for CNF(Containerized Network Function) within Kubernetes and related issues.
Dive into DevOps | March, Traefik as kubernetes ingress controller, Ihor BorodinProvectus
Traefik is presented as a Kubernetes Ingress Controller that provides load balancing, SSL termination, and name-based virtual hosting out of the box. It is described as faster than Nginx and having advantages like automatic hot configuration reload, circuit breakers, retries, and multiple load balancing algorithms built-in. Best practices are outlined for deploying Traefik as a DaemonSet, setting resource requests and limits, using horizontal pod autoscalers, rate limits, basic auth, HTTPS enforcement, SSL termination, monitoring, and labeling.
DevSecCon London 2019: A Kernel of Truth: Intrusion Detection and Attestation...DevSecCon
Matt Carroll
Infrastructure Security Engineer at Yelp
"Attestation is hard" is something you might hear from security researchers tracking nation states and APTs, but it's actually pretty true for most network-connected systems!
Modern deployment methodologies mean that disparate teams create workloads for shared worker-hosts (ranging from Jenkins to Kubernetes and all the other orchestrators and CI tools in-between), meaning that at any given moment your hosts could be running any one of a number of services, connecting to who-knows-what on the internet.
So when your network-based intrusion detection system (IDS) opaquely declares that one of these machines has made an "anomalous" network connection, how do you even determine if it's business as usual? Sure you can log on to the host to try and figure it out, but (in case you hadn't noticed) computers are pretty fast these days, and once the connection is closed it might as well not have happened... Assuming it wasn't actually a reverse shell...
At Yelp we turned to the Linux kernel to tell us whodunit! Utilizing the Linux kernel's eBPF subsystem - an in-kernel VM with syscall hooking capabilities - we're able to aggregate metadata about the calling process tree for any internet-bound TCP connection by filtering IPs and ports in-kernel and enriching with process tree information in userland. The result is "pidtree-bcc": a supplementary IDS. Now whenever there's an alert for a suspicious connection, we just search for it in our SIEM (spoiler alert: it's nearly always an engineer doing something "innovative")! And the cherry on top? It's stupid fast with negligible overhead, creating a much higher signal-to-noise ratio than the kernels firehose-like audit subsystems.
This talk will look at how you can tune the signal-to-noise ratio of your IDS by making it reflect your business logic and common usage patterns, get more work done by reducing MTTR for false positives, use eBPF and the kernel to do all the hard work for you, accidentally load test your new IDS by not filtering all RFC-1918 addresses, and abuse Docker to get to production ASAP!
As well as looking at some of the technologies that the kernel puts at your disposal, this talk will also tell pidtree-bcc's road from hackathon project to production system and how focus on demonstrating business value early on allowed the organization to give us buy-in to build and deploy a brand new project from scratch.
A Kernel of Truth: Intrusion Detection and Attestation with eBPFoholiab
"Attestation is hard" is something you might hear from security researchers tracking nation states and APTs, but it's actually pretty true for most network-connected systems!
Modern deployment methodologies mean that disparate teams create workloads for shared worker-hosts (ranging from Jenkins to Kubernetes and all the other orchestrators and CI tools in-between), meaning that at any given moment your hosts could be running any one of a number of services, connecting to who-knows-what on the internet.
So when your network-based intrusion detection system (IDS) opaquely declares that one of these machines has made an "anomalous" network connection, how do you even determine if it's business as usual? Sure you can log on to the host to try and figure it out, but (in case you hadn't noticed) computers are pretty fast these days, and once the connection is closed it might as well not have happened... Assuming it wasn't actually a reverse shell...
At Yelp we turned to the Linux kernel to tell us whodunit! Utilizing the Linux kernel's eBPF subsystem - an in-kernel VM with syscall hooking capabilities - we're able to aggregate metadata about the calling process tree for any internet-bound TCP connection by filtering IPs and ports in-kernel and enriching with process tree information in userland. The result is "pidtree-bcc": a supplementary IDS. Now whenever there's an alert for a suspicious connection, we just search for it in our SIEM (spoiler alert: it's nearly always an engineer doing something "innovative")! And the cherry on top? It's stupid fast with negligible overhead, creating a much higher signal-to-noise ratio than the kernels firehose-like audit subsystems.
This talk will look at how you can tune the signal-to-noise ratio of your IDS by making it reflect your business logic and common usage patterns, get more work done by reducing MTTR for false positives, use eBPF and the kernel to do all the hard work for you, accidentally load test your new IDS by not filtering all RFC-1918 addresses, and abuse Docker to get to production ASAP!
As well as looking at some of the technologies that the kernel puts at your disposal, this talk will also tell pidtree-bcc's road from hackathon project to production system and how focus on demonstrating business value early on allowed the organization to give us buy-in to build and deploy a brand new project from scratch.
To Russia with Love: Deploying Kubernetes in Exotic Locations On PremCloudOps2005
Michael Wojcikiewicz, Container Solutions Architect at CloudOps, showed the communities in Montreal and Kitchener-Waterloo how to deploy Kubernetes on prem at the Kubernetes + Cloud Native meetups for March, 2019.
DPDK Summit - 08 Sept 2014 - 6WIND - High Perf Networking Leveraging the DPDK...Jim St. Leger
Thomas Monjalon, 6WIND, presents on where/how to use DPDK, the DPDK ecosystem, and the DPDK.org community.
Thomas is the community maintainer of DPDK.org.
NFV SDN Summit March 2014 D1 07 kireeti_kompella Native MPLS Fabricozkan01
This document proposes using MPLS as a native underlay fabric for data centers and access networks. It argues that MPLS has robust control and data planes but that its provisioning has been too complex. The document introduces Labeled ARP (L-ARP) as a way to make MPLS plug-and-play at the host level. L-ARP allows hosts to dynamically learn MPLS labels for other hosts, mimicking traditional ARP. This allows MPLS to be used seamlessly as an underlay without complex provisioning while gaining features like load balancing and traffic engineering. Use cases demonstrated include data center interconnects and VRF/EVPN overlays. The conclusion is that proliferating encapsulations hurts standardization while MPLS
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
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What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
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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.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
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2. Networking in Kubernetes
Kubernetes assumes that pods can communicate with other pods,
regardless of which host they land on. Every pod gets its own IP address.
Fundamental requirements
1. all containers can communicate with all other containers without NAT
2. all nodes can communicate with all containers (and vice-versa) without NAT
3. the IP that a container sees itself as is the same IP that others see it as
3. Container Network Interface
● Originated at CoreOS as part of rkt
● Cloud Native project
● Many container runtimes, ie. kubernetes, rkt, mesos
● If your network solution adheres to the
CNI Spec, the runtimes can use it
● Sometimes the choice of CNI plugins are
(almost) made for you, ie. on public clouds
● For an on-premise project, choosing the
right CNI solution is critical to success
5. Project Calico
● IP-in-IP with option for BGP Based
● Independent of Kubernetes (ships with it’s own etcd cluster)
● Backbone of Github.com’s metal cloud
https://thenewstack.io/github-goes-kubernetes-tells/
● Policy based access control
● Fully featured for Datacenter Level Kubernetes Networking
● Doesn’t make much sense to use without BGP
6. Kube-router
Three components
1. IPVS/LVS (Part of Linux kernel since 1999)
2. GoBGP
3. Kuberouter itself
● BGP Based
https://cloudnativelabs.github.io/post/2017-05-22-kube-pod-networking/
● Heavy lifting by IPVS/LVS (in-kernel load balancer) and the routing tables
● Kubernetes specific
● Small and lightweight, with excellent community on slack
● Network Policies (but not as advanced as Calico)
7. flannel
● Full userspace software based solution, no hardware or kernel involved
● IP-in-IP based
● Often the goto/default choice for on-premise deployments
● Only network, no policy
● Networking: “Developer Edition”
● CoreOS project, but plays extremely well with Kubernetes
● The reference plugin for CNI
8. How Rancher does it
● Magically network nodes in AWS with GCE or on-premise
● It’s all an illusion, it sets up a full mesh of IPSec (VPN) tunnels between each
node
● High overhead of IPSec stack and encryption
● Easy to use, and most of the time “just works”
11. NPF in Numbers
● 3600 Amps of mains, 3 phase power
● Almost 14 kilometers of network cables (2.4 km fiber, 11.5 km copper)
● 400+ volunteers
● 300+ network switches
● Built up in five days, 47 hour event, and then torn down in two days
● Almost 6000 gamers with their computers
● Internet consumption the size of Aalborg, so internet wise we become the
fourth largest “city” in Denmark for a weekend
18. Kube-router in NPF
Key learnings
● Think in terms of ToR (top-of-rack) design
● Often it’s not the new fancy kubernetes network that fails
● Kube-router toolbox is essential
○ You just kubectl exec -it into the kube-router box
Why kube-router
● We tried calico and got overwhelmed
● Very low overhead, must of it is done in-kernel
● Minimal code base, easily understood
● We run full kube-router, so no kubenet or kubeproxy on the nodes
19. DHCP Server Troubles
Modern DHCP server Kea failed, so we had to go with isc-dhcpd
ISC DHCPd needs to know the IP of all availability peers on startup
- ISC DHCPd can take a hostname rather than the IP
- Headless Services expose the pod ip to kube-dns
- Kubernetes DNS resolution to the rescue!
- Stateful Sets could be a possible non-hacky solution, but not sure ISC
DHCPd will play nice with stateful sets.
#19: Kubeproxy disadvantages
arcane implementation of load balancer, hard to troubleshoot anything with out understanding the how Kube-proxy uses iptables to implement load balancer
not a true load balancer but a simple round robin forwarder
no load balancing mechanisms
iptable performance degrades as number of services increases. More number of services means long list of iptable rules in a chain to match a packet against in the data path, and latency in insert/delete rules in control path