Moving to Kubernetes - Tales from SoundCloud
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Like many other companies, SoundCloud migrated to a microservices architecture over the last couple of years. Today, there are several hundreds of services with thousands of container instances running in our datacenters. In this talk, I’ll give a brief overview of the current state of our infrastructure and how a typical service is deployed and can communicate with other services. To make it simple for teams to prototype, deploy and operate several services on their own, we built our own container runtime environment, called Bazooka. I’ll give an overview of Bazooka, its features and design decisions, but also the shortcomings and problems we faced over time: automated scheduling. resource management for services with different load profiles. monitoring of highly dynamic deploys or the requirements of stateful services. With the rise of Docker and a general shift towards container-based environments, SoundCloud started to build more and more of its development workflows based on these new solutions. When it became clear that our existing system needed an overhaul to support additional requirements and overcome its shortcomings, we started to look into other container management technologies and available open-source options. In the second part, I’ll present our evaluation process and some of the requirements we defined for a suitable candidate. The attendee will learn which features and properties of Kubernetes make it the ideal choice for us. Finally, I’ll talk about the current state of our Kubernetes migration, some challenges we need to solve to integrate Kubernetes in our existing infrastructure, and present some open issues we are working on in order to eventually deploy and run all our services with Kubernetes. KubeCon schedule link: http://sched.co/4Wd0
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Today it’s all about delivering velocity without compromising on quality, yet it’s becoming increasingly difficult for organisations to keep up with the challenges of current release management and traditional operations. The demand for developers to own the end-to-end delivery, including operational ownership, is increasing. A “you build it, you own it” development process requires tools that developers know and understand. So I’d like to introduce “GitOps”- an agile software lifecycle for modern applications.
In this session, I will discuss these industry challenges, including current CICD trends and how they’re converging with operations and monitoring. I’ll also illustrate the GitOps model, identify best practices and tools to use, and explain how you can benefit from adopting this methodology inherited from best practices going back 10-15 years.
CI/CD trên Cloud OpenStack tại Viettel Networks | Hà Minh Công, Phạm Tường Chiến
CI/CD trên Cloud OpenStack tại Viettel Networks | Hà Minh Công, Phạm Tường ChiếnVietnam Open Infrastructure User Group
This document discusses using CI/CD and OpenStack cloud to automate development and operations processes. It outlines building a CI/CD infrastructure with OpenStack, including using an OpenStack cloud plugin to autoscale Jenkins slaves on demand. It also describes automating the provisioning and destruction of staging environments in OpenStack using Heat and Ansible to integrate with GitLab for merge request testing. The results showed improvements like continuous delivery, isolated ephemeral staging environments, faster and more reliable releases, and automatic scaling of resources. Challenges mentioned include scaling times in OpenStack and supporting non-containerized builds.Openstack days sv building highly available services using kubernetes (preso)
This document discusses Google Cloud Platform's Kubernetes and how it can be used to build highly available services. It provides an overview of Kubernetes concepts like pods, labels, replica sets, volumes, and services. It then describes how Kubernetes Cluster Federation allows deploying applications across multiple Kubernetes clusters for high availability, geographic scaling, and other benefits. It outlines how to create clusters, configure the federated control plane, add clusters to the federation, deploy federated services and backends, and perform cross-cluster service discovery.
Cloud-native Application Lifecycle Management
Software development is changing rapidly. Enterprises that want to capture value faster, have to deliver value faster. The way to do that is by delivering software in production fast. Think multiple x a day. How do you transform to a digital enterprise that enables that?
Kubecon US 2019: Kubernetes Multitenancy WG Deep Dive
This document provides an overview and agenda for a presentation on secure multitenancy in Kubernetes. It discusses what Kubernetes multitenancy is, available solutions, architectural models for multitenancy including namespace grouping and virtual Kubernetes clusters. It also covers community initiatives for multitenancy control plane including tenant controllers and hierarchical namespaces. The document outlines benchmarking categories and a proposed baseline reference implementation for multitenancy including control plane, data plane, and network isolation techniques.
Kubernetes Security
My cloud native security talk I gave at Innotech Austin 2018. I cover container and Kubernetes security topics, security features in Kubernetes, including opensource projects you will want to consider while building and maintaining cloud native applications.
GlueCon kubernetes & container engine
Brendan Burns giving on talk at GlueCon 2015 on containers, devops, decoupling, system design, kubernetes and google container engine.
Cloud Native CI/CD with GitOps
5 minute ignite talk from DevOpsDaysCPH 2019 about the GitOps setup that we are building at Lunar Way
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An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...
Ambassador Developer Office Hours: Summer of Kubernetes Ship Week 1: Intro to...
Ambassador Developer Office Hours: Summer of Kubernetes Ship Week 1: Intro to...
Canary Releases on Kubernetes w/ Spinnaker, Istio, and Prometheus
Canary Releases on Kubernetes w/ Spinnaker, Istio, and Prometheus
The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...
The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...
Read ebook Kubernetes Cookbook: Building Cloud Native Applications Full Access
Read ebook Kubernetes Cookbook: Building Cloud Native Applications Full Access
How we manage thousands of clusters with minimal effort
How we manage thousands of clusters with minimal effort
CI/CD trên Cloud OpenStack tại Viettel Networks | Hà Minh Công, Phạm Tường Chiến
CI/CD trên Cloud OpenStack tại Viettel Networks | Hà Minh Công, Phạm Tường Chiến
Openstack days sv building highly available services using kubernetes (preso)
Openstack days sv building highly available services using kubernetes (preso)
Kubecon US 2019: Kubernetes Multitenancy WG Deep Dive
Kubecon US 2019: Kubernetes Multitenancy WG Deep Dive
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Kubernetes Scaling SIG (K8Scale)
Following the Kubernetes 1.0 release, the community has organized into a number of Special Interest Groups, one of which is focused on building large clusters. This presentation will give an update on the activities of the Kubernetes SIG, the Samsung SDS rationale for involvement, and a view on what's ahead. Outline:
Explain the goals of the group, when/how we meet, and how to get involved
Briefly explain why Samsung SDS has prioritized scalabilty and why we are interested in large clusters
List a short summary of SIG activities “what we've done/learned so far”
Give an update on the Intel-donated 1000 node cluster
Present a view on a few of the scalability challenges ahead.
Cloud Surfing: Kubernetes on Mesos
Kubernetes: it’s new; it’s cool; and you want it! But you have questions… Is deployment easy? Does it scale? Can it be upgraded in place? Will it work with your existing services? Can it handle big data workloads?
You wish you could learn just one platform and never have to learn another one, but that's not how software works. Today’s epic swell is tomorrow's choppy ripples. Today's cloud nine is tomorrow's smog. What you really need to learn is how to surf… on clouds.
So catch the wave and we’ll ride the white fluffies together. We’ll start with Kubernetes, the cloud container orchestration engine Google seeded, and Mesos, the scheduling framework from which Twitter and Apple are hanging ten. Then we’ll throw on the afterburner with the Mesosphere Datacenter Operating System (DCOS) and deploy orchestrators, like Kubernetes and Marathon, alongside distributed services, like Spark and Cassandra, to open up a universe of possibilities.
KubeCon schedule link: http://sched.co/4V0d
KubeCon EU 2016: Distributed containers in the physical world
The building industry in the world today is at large, far behind the rest of the world, technically. Alongside this, it is at threat of being dominated by a small selection of software vendors. These vendors push specific software solutions to the technically unskilled consumers in the AEC industry. The software they provide however is monolithic, native and heavy. Containers, distributed computing, and open source microservices and applications offer a solution to turn the construction industries future on its head. When computing is ubiquitous in our buildings with the internet of things, the whole way we think about building design has to change. We need to think in advance about how our applications which will run our buildings are developed. Each building is bespoke and the offers currently on the software market simply wont fit the bill in the near future. We are trying to develop a kubernetes based platform to lay the foundations for the future of lightweight bespoke apps developed for our built environment.
Sched Link:
How flinc works - best practices after 5 years of Company Building
This is the summary of my best practices that I learned in the last years building up flinc. I gave this talk several times at SMEs and startups. If you want me to come to your company, please let me know, I'd love to share my knowledge!
Mesos and Kubernetes ecosystem overview
An overview of Mesos and Kubernetes ecosystem including overview, architecture, customers and partners. For a beginner it will give a good covering of all the basics!
Kubernetes on Top of Mesos on Top of DCOS
Containers, cluster management, microservices, Kubernetes and many other buzzwords are flying around us all the time. Our team is building solutions that make it easy to cope with all the complexity around cluster infrastructure. In this talk we present the project we are working on, namely running Kubernetes on top of the Mesos cluster scheduler. Furthermore we show DCOS which makes it easy to deploy and run Kubernetes with a single command.
Federated mesos clusters for global data center designs
The document describes Huawei's approach to federating Mesos clusters across multiple data centers. It proposes a multi-master federation approach where each data center runs its own Mesos master that coordinates with other masters. Gossiper modules in each data center gossip with each other to exchange framework and resource information. When one data center reaches a resource threshold, its gossiper will direct work to other data centers based on a simple policy engine. A demo visualization is shown to illustrate work load balancing during normal and failure scenarios.
Using machine learning to determine drivers of bounce and conversion
Recently, Google partnered with SOASTA to train a machine-learning model on a large sample of real-world performance, conversion, and bounce data. In this talk at Velocity 2016 Santa Clara, Pat Meenan and I offered an overview of the resulting model—able to predict the impact of performance work and other site metrics on conversion and bounce rates.
Mesos vs kubernetes comparison
The document compares the cluster management systems Mesos and Kubernetes. Mesos is an Apache project that provides efficient resource sharing across distributed applications. Kubernetes, developed by Google, provides cluster management capabilities for virtual machines and containers. Both support Docker containers and scheduling of workloads but Mesos gives more control while Kubernetes has easier setup and built-in scheduling. The document also discusses their architectures, major customers, and the future of these systems.
Container Orchestration Wars
Video: https://youtu.be/C_u4_l84ED8
Karl Isenberg reviews the history of distributed computing, clarifies terminology for layers in the container stack, and does a head to head comparison of several tools in the space, including Kubernetes, Marathon, and Docker Swarm. Learn which features and qualities are critical for container orchestration and how you can apply this knowledge when evaluating platforms.
Kubernetes API - deep dive into the kube-apiserver
The document discusses the Kubernetes API server and its RESTful HTTP API. It describes the API endpoints for accessing different Kubernetes resources, how API groups and versions are organized, how API requests are routed and processed, how Kubernetes objects are converted between different versions, and how storage and code generation are used.
DC/OS 1.8 Container Networking
This document discusses the evolution of data center networking from 2007 to present day. It describes how earlier networks were static with clear divisions between teams, while modern networks are more dynamic with blurred lines between developers and operations. It outlines projects within DC/OS like Mesos-DNS, Minuteman, and Lashup that provide service discovery, load balancing, and a distributed control plane to manage today's complex networks and microservices applications. Future plans include improved security, quality of service, and potential rewriting of operating systems to enable zero-overhead network functions virtualization.
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KubeCon EU 2016: Distributed containers in the physical world
KubeCon EU 2016: Distributed containers in the physical world
How flinc works - best practices after 5 years of Company Building
How flinc works - best practices after 5 years of Company Building
Federated mesos clusters for global data center designs
Federated mesos clusters for global data center designs
Using machine learning to determine drivers of bounce and conversion
Using machine learning to determine drivers of bounce and conversion
Kubernetes API - deep dive into the kube-apiserver
Kubernetes API - deep dive into the kube-apiserver
Similar to Moving to Kubernetes - Tales from SoundCloud
d2iq, d2iq konvoy, day 2 operations, lifecycle management, mayadata, mayadata...
D2iQ (formerly Mesosphere) Konvoy provides a standalone production-ready Kubernetes cluster with best-in-class components for operation and lifecycle management and Kommander to supercharge Day 2 operations.
Based on the leading open source Container Attached Storage software, MayaData OpenEBS Enterprise Platform reduces the risk and increases the agility of running stateful applications on Kubernetes.
In this webinar, experts from MayaData and D2iQ will talk about the benefits of using Konvoy and OpenEBS as part of an integrated solution on any cloud infrastructure. What makes Konvoy unique, it’s deployment and the typical use cases and show you how OpenEBS can be used to deploy and update Konvoy and also how OpenEBS can be deployed on Konvoy to simplify the deployment, management and monitoring of stateful applications.
Before we get into Q&A, MayaData team will live demonstrate the combined solution of D2iQ Konvoy and OpenEBS.
Cloud Native Dünyada CI/CD
This document discusses cloud native technologies and continuous integration/continuous delivery (CI/CD) practices.
It defines cloud native as using containers, microservices, immutable infrastructure and other techniques to build scalable applications on public, private or hybrid clouds. These allow for loosely coupled, resilient and observable systems.
The document then discusses how containers enable lightweight packaging and isolation which supports modern development practices. It outlines common cloud native tools and how standardizing on these helps with areas like service communication and monitoring.
Finally, it discusses how adopting CI/CD practices like automated testing, deployment and monitoring can significantly reduce the time it takes to develop and release changes from over 100 minutes to potentially just minutes. This allows for much faster
Effective Kubernetes - Is Kubernetes the new Linux? Is the new Application Se...
I will tell you two stories about two different implementations of Kubernetes. One from Fashion mobile ecomerce. One from a Fintech. Kubernetes is not a silver bullet. But damn close ;).
Kubernetes in 15 minutes
Short intro to what is Kubernetes and why it is important. NOT a tutorial - this is the business/technical justification.
[updated version 4/11]
How to win skeptics to aggregated logging using Vagrant and ELK
This slide deck covers spinning up a demo of elk using vagrant, and focusses on why aggregated logging is important, how it can add value and help enable collaboration and enhance 'Continual Service Improvement'.
Sumo Logic Cert Jam - Advanced Metrics with Kubernetes
This document outlines an agenda for a course to become certified as a Sumo Kubernetes Analyst. The course will provide an introduction to Kubernetes and Sumo Logic's monitoring capabilities, including four different views into Kubernetes systems. Attendees will participate in hands-on labs and have the opportunity to get certified through an online exam.
Serverless Spring - Nate Schutta 2/2
The document discusses serverless computing and container technologies like Functions as a Service (FaaS) and Kubernetes. It explains that these technologies provide various levels of abstraction away from physical servers, allowing developers to focus on code rather than infrastructure. Project riff is highlighted as a new FaaS platform for Kubernetes that provides an agnostic layer for building and deploying serverless workloads on-premise or in the cloud using containers.
Making Cloud Native CI_CD Services.pdf
Rakuten Developer Meetup vol.02: How to Manage Large-scale Infrastructure
https://rakuten.connpass.com/event/243219/
Enabling Microservices Frameworks to Solve Business Problems
Opening keynote at Mesoscon 2015 with announcements on creating an ecosystem for developing solutions to business problems leveraging Mesos, Mantl.io, Mesosphere Infinity, ZoomData, and Project Calico to create Fog nodes for IoE use cases.
Getting Started with Docker - Nick Stinemates
This document summarizes a presentation about Docker and containers. It discusses how applications have changed from monolithic to distributed microservices, creating challenges around managing different stacks and environments. Docker addresses this by providing lightweight containers that package code and dependencies to run consistently on any infrastructure. The presentation outlines how Docker works, its adoption by companies, and its open platform for building, shipping, and running distributed applications. It aims to create an ecosystem similar to how shipping containers standardized cargo transportation globally.
'DOCKER' & CLOUD: ENABLERS For DEVOPS
Sprekers: Stijn Van den Enden & Stijn Wijndaele (ACA IT-Solutions) DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.
In deze avondconferentie werd, na een korte toelichting over DevOps, nagegaan wat Docker en de Cloud kunnen betekenen voor uw business, en hoe zij als enablers kunnen dienen voor het tot stand brengen van een DevOps-cultuur. Het container-landschap waarvan tools zoals Kubernetes, Docker Swarm, ...een belangrijk onderdeel vormen, wordt toegelicht en er wordt ingegaan op de wijze waarop deze tools aangewend kunnen worden om 'development' en 'operations' efficiënt te laten samenwerken.
Docker and Cloud - Enables for DevOps - by ACA-IT
DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.
Stay productive while slicing up the monolith
Microservices-based architectures are in vogue. Over the last couple of years, we have learned how thought leaders implement them, and it seems like every other week we hear about how containers and platform-as-a-service offerings make them ultimately happen.
Tech Talent Night Copenhagen 11/22/17
https://greenticket.dk/techtalentnightcph
Lessons learned from writing over 300,000 lines of infrastructure code
This talk is a concise masterclass on how to write infrastructure code. I share key lessons from the “Infrastructure Cookbook” we developed at Gruntwork while creating and maintaining a library of over 300,000 lines of infrastructure code that’s used in production by hundreds of companies. Come and hear our war stories, laugh about all the mistakes we’ve made along the way, and learn what Terraform, Packer, Docker, and Go look like in the wild.
KubeCon USA 2017 brief Overview - from Kubernetes meetup Bangalore
Brief overview of the KubeCon USA 2017 from the participants perspective. Provides summary of the events and some glance of the event activities.
Cloud-Native Operations with Kubernetes and CI/CD
Operations practices have historically lagged behind development. Agile and Extreme Programming have become common practice for development teams. In the last decade, the DevOps and SRE movements have brought these concepts to operations, borrowing heavily from Lean principles such as Kanban and Value Stream Mapping. So, how does all of this play out if we’re using Kubernetes?
In this class, Paul Czarkowski, Principal Technologist at Pivotal, will explain how Kubernetes enables a new cloud-native way of operating software. Attend to learn:
● what cloud-native operations are;
● how to build a cloud-native CI/CD stack; and
● how to deploy and upgrade an application from source to production on Kubernetes.
Presenter:
Paul Czarkowski, Principal Technologist, Pivotal Software
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Slides of the presentation by Ben Golub and Nick Stinemates. Video can be found here: https://www.youtube.com/watch?v=7VODU7Wr_fI
Application Deployment on Openstack
The document discusses using Docker containers with OpenStack to deploy applications. It begins with an introduction to Docker and its benefits. It then covers adding Docker support to the OpenStack Nova computing controller to deploy containers instead of virtual machines. The remainder demonstrates setting up DevStack to use Docker with OpenStack and shows examples of launching Docker containers through the OpenStack Horizon web interface.
Cloud-native .NET Microservices mit Kubernetes
Mario-Leander Reimer presented on building cloud-native .NET microservices with Kubernetes. He discussed key principles of cloud native applications including designing for distribution, performance, automation, resiliency and elasticity. He also covered containerization with Docker, composing services with Kubernetes and common concepts like deployments, services and probes. Reimer provided examples of Dockerfiles, Kubernetes definitions and using tools like Steeltoe and docker-compose to develop cloud native applications.
25 12 18 meetup - road to k8s
The document summarizes the company's transition from Docker Swarm to Kubernetes as their container orchestration platform. It discusses how they initially chose Docker and Swarm due to its stability as a new option compared to other early solutions like Kubernetes. However, they encountered challenges with Swarm's overlay networking and auto-scaling capabilities. As a result, they decided to move to Kubernetes due to its more advanced features for auto-scaling, health monitoring, cloud operations, debugging, and community support, which would help them stay on the cutting edge.
Similar to Moving to Kubernetes - Tales from SoundCloud (20)
d2iq, d2iq konvoy, day 2 operations, lifecycle management, mayadata, mayadata...
d2iq, d2iq konvoy, day 2 operations, lifecycle management, mayadata, mayadata...
Effective Kubernetes - Is Kubernetes the new Linux? Is the new Application Se...
Effective Kubernetes - Is Kubernetes the new Linux? Is the new Application Se...
How to win skeptics to aggregated logging using Vagrant and ELK
How to win skeptics to aggregated logging using Vagrant and ELK
Sumo Logic Cert Jam - Advanced Metrics with Kubernetes
Sumo Logic Cert Jam - Advanced Metrics with Kubernetes
Enabling Microservices Frameworks to Solve Business Problems
Enabling Microservices Frameworks to Solve Business Problems
Lessons learned from writing over 300,000 lines of infrastructure code
Lessons learned from writing over 300,000 lines of infrastructure code
KubeCon USA 2017 brief Overview - from Kubernetes meetup Bangalore
KubeCon USA 2017 brief Overview - from Kubernetes meetup Bangalore
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
More from KubeAcademy
KubeCon EU 2016:
We will explore the make up of the Kubernetes community and the adoption trends that we are tracking at RedMonk.
Sched Link: http://sched.co/67d4
KubeCon EU 2016: ChatOps and Automatic Deployment on Kubernetes
ChatOps is a term often credited to GitHub, and it is all about putting the tools in the middle of the conversations. At Unacast, most of our conversations go through Slack. When we integrated ChatOps into our workflow, we got the tools closer to the conversation.
We are using a version of GitHub Flow for our development process. That means all new features goes in a branch, someone opens a pull request and we merge continuously from master into the feature branch. When we have something that is ready to deploy to a server we trigger a deploy of the branch to a test environment. When the new feature gets verified it gets deployed to production, gets verified again, and then merged back into master. This workflow enables us to maintain a clean master branch so we can roll back in case something fails.
Sched Link: http://sched.co/67c1
KubeCon EU 2016: A Practical Guide to Container Scheduling
Containers are at the forefront of a new wave of technology innovation but the methods for scheduling and managing them are still new to most developers. In this talk we'll look at the kind of problems that container scheduling solves and at how maximising efficiency and maiximising QoS don't have to be exclusive goals. We'll take a behind the scenes look at the Kubernetes scheduler: How does it prioritize? What about node selection and external dependencies? How do you schedule based on your own specific needs? How does it scale and what’s in it both for developers already using containers and for those that aren't? We’ll use a combination of slides, code, demos to answer all these questions and hopefully all of yours.
Sched Link: http://sched.co/6BZa
KubeCon EU 2016: Trading in the Kube
We will present the latest iteration of our sample trading application, Reactive Trader (previous iteration - http://adaptiveconsulting.github.io/ReactiveTraderJS). This is built on Google Cloud Platform, Kubernetes and Docker and has a Microservices architecture.
Sched Link: http://sched.co/6BUp
KubeCon EU 2016: Integrated trusted computing in Kubernetes
Being able to trust your containers requires that you be able to trust the systems your containers are running on. Trusted computing makes it possible for computers to prove what they’ve booted, making it practical for clusters to verify that systems haven’t been compromised, but up until now it’s been a heroic task to deploy a trusted computing environment.
This presentation will describe the integration of trusted computing technologies into Kubernetes, making it possible to define policies that provide fine-grained access control to cluster resources and distribute secrets in a secure manner. It will then introduce functionality added to the rkt runtime, making it possible to extend trusted computing from initial system state to validation of individual containers.
Sched Link: http://sched.co/67eX
KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline
One of the most underrated features of Kubernetes is namespaces. In the market, instead of using this feature, people are still stuck with having different clusters for their environments. This talk will try to break this approach, and will introduce how we end up using ephemeral namespaces within our CI/CD pipeline. It will cover the architecture of our system for running the user acceptance tests on isolated ephemeral namespaces with every bits and pieces running within pods. While doing this, we will set up our CI/CD pipeline on top of TravisCI, GoCD, and Selenium that is controlled by Nightwatch.js.
Sched Link: http://sched.co/6Bcb
KubeCon EU 2016: Secure, Cloud-Native Networking with Project Calico
Why does the network matter and why does it need to be simple (the 3am test)? Why should we build networks that scale to the extremes and how can we do that with proven technologies? Finally, how can we secure microservices, why should we bother, and what does this mean for developers and operators?
Sched Link: http://sched.co/6BUR
KubeCon EU 2016: Heroku to 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:
KubeCon EU 2016: Transforming the Government
This talk is documents the UK Home Office's cloud-native journey, changing how we did devops forever!
At the UK Home Office, we run Kubernetes in production. This talk is about how we got there, where we came from, where we are right now and where do we want to go from here. We will also cover what things worked out and which things didn't.
From on-boarding projects into Kubernetes to continous delivery, this talk will give you a good understanding of what lies ahead if you decided to take the road to schedule containers in production.
Sched Link: http://sched.co/68xS
KubeCon EU 2016: Getting the Jobs Done With Kubernetes
When you hear words such as Kubernetes or OpenShift you immediately start thinking
about long running processes you can easily scale at will. However, Kubernetes includes a lesser known feature which allows you to run pretty much anything from simple tasks up to highly-complicated ones.
During this presentation, the author of the Job resource in Kubernetes will guide you through several techniques for performing anything ranging from simple Pi calculations to rendering a movie. No matter if you're a data scientist running large scale calculations across several data centers or a hobby programmer running simple day-to-day tasks, this presentation is to teach you how to efficiently use Kubernetes Jobs on their own or as the building blocks of something
bigger.
This presentation will feature a number of live demos to help illustrate the various ways that you can put Jobs to work. Don’t miss out on learning about one of the coolest features of Kubernetes!
Sched Link: http://sched.co/6BUw
KubeCon EU 2016: Kubernetes Storage 101
You have deployed your application on Kube and now you want to actually do something permanent with it?? You will need STORAGE.
This talk will be a good introduction to using storage in Kubernetes. It will cover the use of EmptyDir, HostPath and Persistent Storage options. How to configure and use each type. This talk will also discuss the security features for storage in the open source OpenShift project.
Sched Link: http://sched.co/6BcS
KubeCon EU 2016: Using Traffic Control to Test Apps in Kubernetes
Testing applications is important, as shown by the rise of continuous integration and automated testing. In this talk, I will focus on one area of testing that is difficult to automate: poor network connectivity. Developers usually work within reliable networking conditions so they might not notice issues that arise in other networking conditions. I will give examples of software that would benefit from test scenarios with varying connectivity. I will explain how traffic control on Linux can help to simulate various network connectivity. Finally, I will run a demo showing how an application running in Kubernetes behaves when changing network parameters.
Sched Link: http://sched.co/6Bb3
KubeCon EU 2016: Kubernetes in Production in The New York Times newsroom
The New York Times’ is a US media company serves digital journalism to millions of visitors every day. The format of our stories is constantly experimented with; for example we publish graphics based on election data ingested from APIs, question and answer led discussions, breaking news live coverage, and quizzes. This leads to a lot of applications.
Our previous experience with infrastructure may be a familiar one: an unruly number of virtual machines, which led us to containers. Containers give our web developers who are not infrastructure engineers the opportunity to configure and launch their applications with little oversight.
Kubernetes offers us an infrastructure for our numerous applications at scale. Leveraging the Kubernetes API, we’ve built a self-service admin interface for developers (not sysadmins) to configure and launch their applications at scale, similar to the Kubernetes Dashboard project, tailored to our development workflow.
Sched Link: http://sched.co/67f2
KubeCon EU 2016: ITNW (If This Now What): Orchestrating an Enterprise
With growing demand for containers in the enterprise, build pipelines are a bottleneck to success. Traditional workflows can't release application candidates quickly enough to fulfill demand. With over 400 development teams across many different business units, Pearson had to move away from massive installs of traditional build pipeline tools and rethink the entire concept. In this talk we'll demonstrate how we have built in security compliance, performance testing, quality assurance, abstracted away complexity, reduced overhead, aim to recover 10% of developers time and turned build tools into cattle.
This represents the story to date of an in-flight engineering project to modernise the digital estate of a global enterprise organisation and how scale of the operation is leading us to challenge many established beliefs. Attendees will walk away with everything from workflows to code which they can use to get started in their own endeavors.
Sched Link:
KubeCon EU 2016: SmartCity IoT on Kubernetes
Modern cities are rapidly adopting smart technologies to deliver realtime data about a number of city services. These technologies heavily rely on a high quality network interconnecting all sensors and reactors as lamps with controlling services. Many low level PLC systems solve the automation, but their purpose is limited to narrow areas of usage as these device have limited computational power. On the other hand, the rise of single-board computers as Raspberry Pi with multi-core processors and plenty of memory can serve as a platform for virtualized services based on Kubernetes. The distributed cluster across whole city on public streetlights gives operators the possibility to adapt to rapidly changing conditions. We propose distribution of HA clusters of single-board devices in key topological points of smart city mesh networks connected together by reliable SDN network. These virtualized services fulfill various tasks as data collection, data processing or and all of these services can rely on cloud backends, that provide much more computational and storage capacity. Services can be operated at both locations to serve local as well as foreign users.
We will share whole concept and architecture of SmartCity project, which covers deployment of more than 3000 endpoints[, both sensoric and reactive devices,] and about 30 smart gateways running in HA mode on Kubernetes Nodes.
Sched Link: http://sched.co/6BUM
KubeCon EU 2016: Templatized Application Configuration on OpenShift and Kuber...
Kubernetes gives developers a platform on which to run images and many configuration objects to control those images, but constructing a cohesive application made up of images and configuration objects is currently a challenge. Reconstructing or sharing that configuration can also be a challenge. This talk will cover the Template feature implemented in OpenShift to simplify the process of defining and repeatably deploying coordinated objects, discuss what is coming to Kubernetes with respect to this capability, and touch on several other existing projects that enable templatizing application definitions.
Sched Link: http://sched.co/6BVH
KubeCon EU 2016 Keynote: Pushing Kubernetes Forward
The Kubernetes community has aspirations of becoming the Linux kernel of distributed systems. Together we want to build a scalable, stable, and secure platform for distributed system that is the ubiquitous choice for people building server infrastructure. This talk will discuss the major community efforts made in recent months to deliver this goal and the work we need to do to continue our momentum.
Sched Link: http://sched.co/68lU
KubeCon EU 2016: Creating an Advanced Load Balancing Solution for Kubernetes ...
Load balancing is an important part of any resilient web application. Kubernetes supports a few options for external load balancing, but they are limited in features. After a brief discussion of those options and the features they lack, we’ll show how to build an advanced load balancing solution for Kubernetes on top of NGINX, utilizing Kubernetes features including Ingress, Annotations, and ConfigMap. We’ll conclude with a demo of how to use NGINX and NGINX Plus to expose services to the Internet.
Sched Link: http://sched.co/6Bc9
KubeCon EU 2016: Killing containers to make weather beautiful
The Met Office Informatics Lab includes scientists, developers and designers. We build prototypes exploring new technologies to make environmental data useful. Here we describe a recent project to process multi-dimensional weather data to create a fully interactive 4D browser application. We used long-running containers to serve data and web pages and short-running processes to ingest and compress the data. Forecast data is issued every three hours so our data ingestion goes through regular and predictable bursts (i.e. perfect for autoscaling).
We built a Kubernetes cluster in an AWS group which auto-scales based on load. We used replication controllers to process the data. Every three hours ingestion jobs are added to a queue and the number of ingestion containers are set in proportion to the queue length. Each worker completes exactly one ingestion job from the queue and then exits, at which point Kubernetes creates a new one to process the next message. This has allowed us to remove the lifespan logic from the containers and keep them light, fast and massively scalable. We are now in the process of using this in our production systems.
Sched Link: http://sched.co/6BWQ
KubeCon EU 2016: Multi-Tenant Kubernetes
Today Kubernetes is mostly employed in single tenant deployment, either private cloud, or as a COE on top of IaaS. By leveraging virtualized container like Hyper, Kubernetes will be the core of multi-tenant Container-as-a-Service. This talk will present Hypernetes, a secure Kubernetes distro focusing on the public container hosting service.
Sched Link: http://sched.co/6BYD
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KubeCon EU 2016: ChatOps and Automatic Deployment on Kubernetes
KubeCon EU 2016: ChatOps and Automatic Deployment on Kubernetes
KubeCon EU 2016: A Practical Guide to Container Scheduling
KubeCon EU 2016: A Practical Guide to Container Scheduling
KubeCon EU 2016: Integrated trusted computing in Kubernetes
KubeCon EU 2016: Integrated trusted computing in Kubernetes
KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline
KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline
KubeCon EU 2016: Secure, Cloud-Native Networking with Project Calico
KubeCon EU 2016: Secure, Cloud-Native Networking with Project Calico
KubeCon EU 2016: Getting the Jobs Done With Kubernetes
KubeCon EU 2016: Getting the Jobs Done With Kubernetes
KubeCon EU 2016: Using Traffic Control to Test Apps in Kubernetes
KubeCon EU 2016: Using Traffic Control to Test Apps in Kubernetes
KubeCon EU 2016: Kubernetes in Production in The New York Times newsroom
KubeCon EU 2016: Kubernetes in Production in The New York Times newsroom
KubeCon EU 2016: ITNW (If This Now What): Orchestrating an Enterprise
KubeCon EU 2016: ITNW (If This Now What): Orchestrating an Enterprise
KubeCon EU 2016: Templatized Application Configuration on OpenShift and Kuber...
KubeCon EU 2016: Templatized Application Configuration on OpenShift and Kuber...
KubeCon EU 2016 Keynote: Pushing Kubernetes Forward
KubeCon EU 2016 Keynote: Pushing Kubernetes Forward
KubeCon EU 2016: Creating an Advanced Load Balancing Solution for Kubernetes ...
KubeCon EU 2016: Creating an Advanced Load Balancing Solution for Kubernetes ...
KubeCon EU 2016: Killing containers to make weather beautiful
KubeCon EU 2016: Killing containers to make weather beautiful
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GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
"What does it really mean for your system to be available, or how to define w...
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
A Deep Dive into ScyllaDB's Architecture
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Day 2 - Intro to UiPath Studio Fundamentals
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📕 Detailed agenda:
Variables and Datatypes
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💻 Extra training through UiPath Academy:
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Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
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JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
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Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
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Dandelion Hashtable: beyond billion requests per second on a commodity server
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"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
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Tomaz Bratanic
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Apps Break Data
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These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Recently uploaded (20)
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
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"What does it really mean for your system to be available, or how to define w...
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The Microsoft 365 Migration Tutorial For Beginner.pptx
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JavaLand 2024: Application Development Green Masterplan
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inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
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Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
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GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
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QA or the Highway - Component Testing: Bridging the gap between frontend appl...
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
Moving to Kubernetes - Tales from SoundCloud
- 1. Tobias Schmidt KubeCon 2015 - San Francisco Moving to Kubernetes Tales from SoundCloud
- 3. Why containers? What is Bazooka? What have we learned? Why Kubernetes? What’s next?
- 4. Why did we build a container runtime environment?
- 7. slow scaling
- 10. cumbersome new app setup
- 11. What is Bazooka?
- 12. $ bazooka init $ bazooka push $ bazooka scale ... $ bazooka ps ...
- 14. LXC agent on each node consensus store CLI
- 15. What are the strengths of Bazooka?
- 17. quick deploys / rollback / scaling
- 18. orchestration is not in the critical path
- 19. What have we learned?
- 20. containers are the only way
- 21. Golang is a great fit
- 22. monitoring dynamically deployed services is complex
- 23. choose the right data store
- 24. use a common integration service
- 25. resource isolation is important
- 27. Why moving on?
- 28. Bazooka doesn’t fit anymore
- 29. problem is too big for us alone
- 30. Docker et al.
- 31. Why Kubernetes?
- 32. simple domain objects (container, pod, service, rc)
- 33. powerful networking (security, auditing, performance)
- 34. pod scheduling
- 35. label system (grouping, discoverability, resource constraints)
- 38. What’s next?
- 39. cluster runs on bare-metal