Deploying containers on Heterogeneous IOT devices by Daniel Bruzual
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This document discusses deploying containers on heterogeneous IoT devices using Docker Swarm. It covers initializing a Swarm on IoT devices with different host OS, architectures and sensors. It also discusses using multi-stage Dockerfiles to create compact container images, deploying applications across devices using labels and constraints, and future work including device mounting and secure provisioning.
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Revise: Transform legacy applications to more cost efficient solutions
Redesign: Redesign and rewrite mainframe-based solutions to microservices
In this session, Markus Niskanen, Integration Manager at VR Group, and Oscar Renalias, Sr. Technology Architect at Accenture will discuss how they leveraged Docker EE and the public cloud to be the common platform for these different application modernization projects. They will cover how they are leveraging Docker and the cloud to renew and optimize their application portfolio for greater ROI, leading to organization-wide adaptation of DevOps principles and cultural change in an industry that is over 150 years old.
What's New in Docker
It’s the first breakout after the keynote and you need to know more about all the latest and greatest Docker announcements. We've got you covered! In this session, the Docker team will go deeper, looking into what's new with Docker, demoing the latest features and answering your questions.
The Fairy Tale of the One Command Build Script
Do you have this build script that with a single command builds your software? Does this still apply on a brand new PC?
This presentation takes you on the journey to construct complex build environments using Docker. The journey follows our lessons learned and experiences going from hand crafted to Dockerized build environments. We will look at different patterns to build modular containers, ways to chain containers and the specialties of Windows containers.
Integrating Docker EE into Société Générale's Existing Enterprise IT Systems
Société Générale knows that containers and the cloud are the future of the IT industry and have been using Docker EE for over a year and a half. In this talk, we will share how Docker EE fits into our global strategy and our architecture for integrating the platform to our existing IT systems. We will go over tradeoffs of how we operationalized the platform to provide a highly available CAAS to our global enterprise. Finally, we will share how we are onboarding development teams and deploying their applications to production.
Docker Platform Internals: Taking runtimes and image creation to the next lev...
In this session, we'll go into details about the latest developments around some of the components behind the core features of the Docker Platform. We'll cover the containerd runtime that was built to serve as an underlying daemon for Docker and Kubernetes, and BuildKit, a toolkit that builds on containerd to provide next-generation capabilities for building software with the help of containers. You will learn about the architecture and design choices of these projects, for example, the power of containerd's rich client library and BuildKit's frontend model that allows introducing new build languages or Dockerfile features. You can discover how you can use these projects directly and how they are being integrated into the Docker Platform.
Kubernetes in Docker
1. Docker EE will include an unmodified Kubernetes distribution to provide orchestration capabilities alongside Docker Swarm.
2. When running mixed workloads across orchestrators, resource contention is a risk and it is recommended to separate workloads by orchestrator on each node for now.
3. Docker EE aims to address the shortcomings of running mixed workloads to better support this in the future.
Packaging software for the distribution on the edge
At GE Digital, in the Asset Performance Management space, we need to supply an edge solution that impacts both on-premise and data transmission to the cloud. Our current edge solutions are relatively simplistic, but as our technologies mature along with our customers’ needs, we’re finding that we need to grasp a more fog computing-based approach where we include more intelligence, more computing power, at the edge. Along with this computative power, we need to better remotely manage these systems – to be able to monitor progress and diagnose problems – a technology that would enable us to containerize, to better manage, our software bundlings and deployments.
We found that Windows Docker seemed to fit the bill -- much of the technologies that live at our edge solutions are Windows OS based (as the customers’ main platforms are Windows OS based). This presentation reviews the approach that we took to repackage one of our main APM on-premise solutions using Windows Docker. We’ve created a prototype which we’re looking forward to productize and enable the capability of remote management to thousands of deployments.
The presentation also contains a video demo of the running system. The on-prem APM system will demonstrate the usage of Docker networking along with docker volumes and three (3) docker containers – will discuss the construction of the images, and nuances, of execution of the running docker containers.
DockerCon EU 2015: Docker Monitoring
Presented by Brian Christner, Cloud Advocate, Swisscom AG
Do you know the performance of your containers or Docker Hosts? I will show you how to get up and running quickly with 2 different Open Source Docker Monitoring solutions. We will quickly cover Docker Stats as the basis and discover how Google cAdvisor gathers metrics for our 2 solutions. We will then build upon this basis to build a Docker Monitoring solution with cAdvisor+InfluxDB+Grafana and then cAdvisor+Prometheus and create dashboards based on the gathered monitoring metrics with Grafna and Prometheus.
Back to the Future: Containerize Legacy Applications
This document summarizes the modernization of a legacy .NET application at Fox MediaCloud using Docker Enterprise Edition (EE). The traditional Broadcast Affiliate Portal application was containerized and deployed to Azure in just 3 days. This reduced deployment time from 3 weeks to minutes and enabled redundancy and disaster recovery without downtime for security fixes or scaling. The migration demonstrated how Docker EE can help enterprises modernize applications at their own pace while controlling costs and driving innovation incrementally across their application portfolios.
Experiences with AWS immutable deploys and job processing
How Docker is used at Gilt: At Gilt we use Docker primarily as a unit of immutability and to allow a standard way of deploying all kinds of software as opposed to its container properties.
Why Gilt built Ionroller: An overview of the problems we tried to solve with Ionroller and immutable deploys. Pitfalls we've encountered with immutable deployments since Ionroller saw adoption in Gilt. Will cover issues such as DNS traffic migration, utilisation of resources ELBs not warmed up properly, Elasticbeanstalk using Nginx as proxy etc. Our experiences with Cloudformation and Codedeploy as an alternative to Ionroller and Elasticbeanstalk.
Jobs: How we used to do batch jobs. Solutions we considered such as Mesos and Chronos. An overview of Sundial, an in house solution we built in the last few months and hope to open source for running containerized Docker jobs on Amazon ECS and why we chose it as our preferred solution.
What's hot (20)
DockerCon EU 2015: Placing a container on a train at 200mph
DockerCon EU 2015: Placing a container on a train at 200mph
Modernizing Traditional Applications with Docker EE: From PoC to Production
Modernizing Traditional Applications with Docker EE: From PoC to Production
Tales of Training: Scaling CodeLabs with Swarm Mode and Docker-Compose
Tales of Training: Scaling CodeLabs with Swarm Mode and Docker-Compose
How Docker EE is Finnish Railway’s Ticket to App Modernization
How Docker EE is Finnish Railway’s Ticket to App Modernization
Integrating Docker EE into Société Générale's Existing Enterprise IT Systems
Integrating Docker EE into Société Générale's Existing Enterprise IT Systems
Docker Platform Internals: Taking runtimes and image creation to the next lev...
Docker Platform Internals: Taking runtimes and image creation to the next lev...
Packaging software for the distribution on the edge
Packaging software for the distribution on the edge
Back to the Future: Containerize Legacy Applications
Back to the Future: Containerize Legacy Applications
Experiences with AWS immutable deploys and job processing
Experiences with AWS immutable deploys and job processing
Similar to Deploying containers on Heterogeneous IOT devices by Daniel Bruzual
Real World Experience of Running Docker in Development and Production
Real World Experience of Running Docker in Development and Production. Presented 5th November 2015 at Oredev 2015
[NYC Meetup] Docker at Nuxeo
In this talk, Damien describes the infrastructure Nuxeo has built around Docker containers, which is mainly based on CoreOS and Docker, and how it provides a way to generically run applications not only on a single host, but across a whole cluster of hosts. The resulting architecture can be used to implement a PaaS approach for any application.
Docker introduction
This document provides an introduction to Docker, including what Docker is, why it matters, and how it works. Some key points:
- Docker implements lightweight containers that provide process isolation using features of the Linux kernel like cgroups and namespaces. It allows building and shipping applications without dependency and compatibility issues.
- Docker solves the "N times N" compatibility problem that arises when applications need to run in different environments. Its portable containers and standardized operations help automate development and deployment workflows.
- Containers isolate applications from one another and their dependencies without the overhead of virtual machines. This makes them lightweight and efficient while still providing isolation of applications and flexibility to run anywhere.
Accelerate your development with Docker
This document provides an overview of Docker and containers. It begins with a brief introduction to 12 Factor Applications methodology and then defines what Docker is, explaining that containers utilize Linux namespaces and cgroups to isolate processes. It describes the Docker software and ecosystem, including images, registries, Docker CLI, Docker Compose, building images with Dockerfile, and orchestrating with tools like Kubernetes. It concludes with a live demo and links to additional resources.
Accelerate your software development with Docker
Docker is in all the news and this talk presents you the technology and shows you how to leverage it to build your applications according to the 12 factor application model.
Swarm: Native Docker Clustering
from my meetup.
You can also watch the video of the meetup:
https://www.youtube.com/watch?v=4n5pF_vEQE4
ContainerDayVietnam2016: Dockerize a small business
This document discusses how Docker can transform development and deployment processes for modern applications. It outlines some of the challenges of developing and deploying applications across different environments, and how Docker addresses these challenges through containerization. The document then provides examples of how to dockerize a Rails and Python application, set up an Nginx reverse proxy with Let's Encrypt, and configure a Docker cluster for continuous integration testing.
Running .NET on Docker
This document summarizes a presentation about running .NET applications on Docker containers. It discusses getting started with Docker, differences between Windows and Linux containers, building .NET and Node.js applications as Docker images, deploying containers to production environments, and the future of Docker integration with desktop applications and Microsoft technologies. Examples are provided of Dockerfile instructions for .NET and Node.js applications and using Docker Compose to run multi-container applications.
Containers and Orchestration approaches
This document discusses various container and orchestration approaches including Docker, Mesos, and Rancher. It provides overviews of these technologies, how they can be used for infrastructure as code DevOps practices, and cost optimization. Specific topics covered include Docker Swarm mode for built-in orchestration, Docker Trusted Registry for secure images, deploying applications on Docker Datacenter, and using Mesos with Marathon for orchestration and service discovery.
[DockerCon 2020] Hardening Docker daemon with Rootless Mode
Rootless Docker runs the Docker daemon as a non-root user to protect the host system from potential vulnerabilities and misconfigurations. It uses user namespaces to emulate root privileges within containers without granting actual root access. Recent updates have added support for cgroups, improved snapshotting techniques, and user-mode networking to improve the security and functionality of running Docker without root privileges. Rootless Docker is now considered stable and provides most of the same features and performance as the traditional Docker installation.
Import golang; struct microservice - Codemotion Rome 2015
The document discusses microservices and the use of Golang for building microservices. Some key points:
- Microservices are small, independent services that work together, organized around business capabilities. Golang is well-suited for building microservices due to its static compilation, concurrency features, and standard library support for web development.
- The document discusses why the authors chose Golang for microservices, highlighting Golang's static compilation, lack of external dependencies, easy concurrency with goroutines, and standard library support for networking, JSON, protocols, and more.
- It provides examples of building simple microservices in Golang, including a hello world service and a basic HTTP server, and discusses how middleware
20150425 experimenting with openstack sahara on docker
Experimenting with OpenStack Sahara and Nova Docker Driver represented by Weiting Chen on 20150425 OpenStack Beijing IBM Meetup
Before & After Docker Init
The recent launch of the Docker Init command has significantly simplified the process of generating Dockerfiles and Docker Compose templates for containerized applications. This presentation aims to explore the evolution of Docker deployment resources generation process, comparing its approach prior to the Docker Init command release and discussing the way forward. Before the introduction of the Docker Init command, I've been delivering some projects like the "alfresco-docker-installer"[1], which provides custom scripts and configurations to streamline the process of deploying Alfresco in Docker containers. These kinds of projects use tools like Yeoman or raw Python. There are some differences between a Docker Template for a technology (Go, Python, Node or Rust) and a Docker Template for a product (like Alfresco) that may be covered when generating automatic deployment resources. This presentation will delve into the methodologies employed before the Docker Init command:
Custom Dockerfile Extension
Compose Template for a complete product deployment, including a set of services like the database, content repository, search engine, or web application
Configuration Management, including techniques such as environment variable injection, externalized configuration files, and configuration overrides
Following the release of the Docker Init command, this presentation will provide insights into the possibilities and advantages it brings to complex products Docker deployment process. A PoC of a Docker Plugin, including this product-oriented approach for docker init, will be demoed live. >> Note that the Open Source Alfresco product is used only to explain the concepts of building a Docker Compose generator with a real example.
Docker - From Walking To Running
Introductory seminar on Docker and its components (networks and Compose in particular). Focused on going through some basic concepts, mention some more advanced topics, and introduce a practical workshop held on the same evening.
DockerCC.pdf
Docker is a tool that allows applications to be packaged into containers that provide isolation and portability. Containers use less resources than virtual machines and allow applications and their dependencies to be easily deployed. The Docker engine runs containers using images, which are templates that contain instructions for creating containers. Docker Compose allows defining and running multi-container applications, and tools like Portainer provide graphical interfaces for managing Docker containers.
Powercoders · Docker · Fall 2021.pptx
The document provides an agenda for a DevOps with Containers training over 4 days. Day 1 covers Docker commands and running containers. Day 2 focuses on Docker images, networks, and storage. Day 3 introduces Docker Compose. Day 4 is about Kubernetes container orchestration. The training covers key Docker and DevOps concepts through presentations, videos, labs, and reading materials.
DCSF 19 Building Your Development Pipeline
Oliver Pomeroy, Docker & Laura Tacho, Cloudbees
Enterprises often want to provide automation and standardisation on top of their container platform, using a pipeline to build and deploy their containerized applications. However this opens up new challenges; Do I have to build a new CI/CD Stack? Can I build my CI/CD pipeline with Kubernetes orchestration? What should my build agents look like? How do I integrate my pipeline into my enterprise container registry? In this session full of examples and how-to's, Olly and Laura will guide you through common situations and decisions related to your pipelines. We'll cover building minimal images, scanning and signing images, and give examples on how to enforce compliance standards and best practices across your teams.
Docker up and running
This document provides an overview and agenda for a Docker presentation. It discusses the Docker architecture including underlying technologies like cgroups and namespaces. It also covers the Docker engine/daemon, API, Compose, networking, Swarm, Machine, security and storage. The presentation includes a demo of these Docker concepts and capabilities.
Docker Timisoara: Dockercon19 recap slides, 23 may 2019
DockerCon 2019 took place in San Francisco, from April 29th to May 2nd.
Open Source @ Dockercon Summit took place Thursday, May 2nd.
Dockercon 2019 was a success with 5000+ participants. We are planning a recap Meetup to highlight overall announcements, new features & news from the event:,
- new CLI plugins announcement (docker app, docker buildx, docker pipeline etc);
- features of Docker Enterprise 3.0 ( assemble, template etc)
- takeaways; useful links, demos, tips and tricks and of course all videos from all the sessions
- cool stuff from the Open summit, like the powerful buildkit
- Demo: Multi-arch Docker Builds
Under this Meetup, we'll discuss news / new feature announcements during Dockercon and their implications for the ecosystem and end user. In addition to the DockerCon recap, we'll have the usual opportunities for networking and Q&A. We will look to answer any questions you have about Dockercon at this meetup.
We invite all of our members to come -- whether you're a beginner or an experienced user of containers. Don't forget to RSVP for this event so we can make sure we have plenty of place for everyone. Save the date for Docker Timisoara Meetup on May 23th @ CoWork The Garden!
Start tracking your ruby infrastructure
This document discusses using Docker and Ansible together for infrastructure as code. It begins with an overview of problems with traditional deployment approaches and advantages of defining infrastructure programmatically. It then provides in-depth explanations of Docker concepts like images, containers, Dockerfiles and how Docker works. The remainder covers using Ansible for configuration management, explaining concepts like modules, inventory, playbooks and roles. It emphasizes that Docker and Ansible together provide an easy way to start automating infrastructure while removing dependencies on specific technologies.
Similar to Deploying containers on Heterogeneous IOT devices by Daniel Bruzual (20)
Real World Experience of Running Docker in Development and Production
Real World Experience of Running Docker in Development and Production
ContainerDayVietnam2016: Dockerize a small business
ContainerDayVietnam2016: Dockerize a small business
[DockerCon 2020] Hardening Docker daemon with Rootless Mode
[DockerCon 2020] Hardening Docker daemon with Rootless Mode
Import golang; struct microservice - Codemotion Rome 2015
Import golang; struct microservice - Codemotion Rome 2015
20150425 experimenting with openstack sahara on docker
20150425 experimenting with openstack sahara on docker
Docker Timisoara: Dockercon19 recap slides, 23 may 2019
Docker Timisoara: Dockercon19 recap slides, 23 may 2019
More from Docker, Inc.
Containerize Your Game Server for the Best Multiplayer Experience
Raymond Arifianto, AccelByte and
Mark Mandel, Google -
We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.
How to Improve Your Image Builds Using Advance Docker Build
Nicholas Dille, Haufe-Lexware + Docker Captain -
Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.
Build & Deploy Multi-Container Applications to AWS
Lukonde Mwila, Entelect -
As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud.
In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics:
- Docker Compose
- Containerizing an Nginx Server
- Containerizing an React App
- Containerizing an Node.JS App
- Containerizing anMongoDB App
- Runing Multi-Container App Locally
- Creating a CI/CD Pipeline
- Adding a build stage to test containers and push images to Docker Hub
- Deploying Multi-Container App to AWS Elastic Beanstalk
Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking.
After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.
Securing Your Containerized Applications with NGINX
The document summarizes Kevin Jones' presentation on securing containerized applications with NGINX. It discusses the benefits of using a reverse proxy for security, NGINX best practices for TLS configuration, and deploying NGINX in Docker containers. It also provides code examples and configurations for setting up NGINX as a reverse proxy, optimizing TLS, and using NGINX as a sidecar proxy.
How To Build and Run Node Apps with Docker and Compose
Kathleen Juell, Digital Ocean -
Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself.
This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.
Hands-on Helm
Jessica Deen, Microsoft -
Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.
Distributed Deep Learning with Docker at Salesforce
Jeff Hajewski, Salesforce -
There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.
The First 10M Pulls: Building The Official Curl Image for Docker Hub
James Fuller, webcomposite s.r.o. -
Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.
Monitoring in a Microservices World
Fabian Stäber, Instana -
In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
Clemente Biondo, Engineering Ingegneria Informatica -
When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.
Predicting Space Weather with Docker
The document discusses how NOAA's Space Weather Prediction Center transitioned from a monolithic architecture to microservices using Docker. It describes how they started with a small verification project, then replaced their critical GOES satellite data source. This improved developers' morale and delivery speed. They encountered some security issues initially but learned from them. The transition was very successful and allowed them to quickly expand their mission to forecast aviation impacts using scientists' models packaged as Docker services.
Become a Docker Power User With Microsoft Visual Studio Code
Brian Christner, 56k + Docker Captain -
In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.
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Monolithic to Microservices + Docker = SDLC on Steroids!
Ashish Sharma, SS&C Eze -
SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.
Kubernetes at Datadog Scale
Kubernetes networking can be complex to scale due to issues like growing iptables rules, but newer solutions are helping. Pod networking uses CNI plugins like flannel or Calico to assign each pod an IP and allow communication. Service networking uses kube-proxy and iptables or IPVS for load balancing to pods. DNS is used to resolve service names to IPs. While Kubernetes networking brings flexibility, operators must learn the nuances of their specific CNI plugin and issues can arise, but the ecosystem adapts quickly to new needs and changes don't impact all workloads.
Labels, Labels, Labels
Andy Clemenko, StackRox -
One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
Micro Focus uses Docker Hub at scale to support its software delivery and deployment model. Some key points:
- Docker Hub is used as the registry service for Micro Focus container images
- It allows for optimized, secure, reliable and cost-effective software delivery through deployments and updates of container images to customers and partners
- Micro Focus leverages features like private repositories, offline/online access, signing and scanning of images, and integration with CI/CD pipelines
- Over 1,650 organizations, 450 repositories, and 18 teams are used on Docker Hub to manage access and deliver software from Micro Focus
Build & Deploy Multi-Container Applications to AWS
Lukonde Mwila, Entelect
As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud.
In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics:
- Docker Compose
- Containerizing an Nginx Server
- Containerizing an React App
- Containerizing an Node.JS App
- Containerizing anMongoDB App
- Runing Multi-Container App Locally
- Creating a CI/CD Pipeline
- Adding a build stage to test containers and push images to Docker Hub
- Deploying Multi-Container App to AWS Elastic Beanstalk
Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking.
After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
Elton Stoneman, Docker Captain + Container Consultant and Trainer
How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least).
In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product.
There's a lot of technology here from a real world case study, and I'll focus on:
- running Windows apps in Docker containers
- building a .NET Core API which can run in Linux or Windows containers
- running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud
- configuring AKS workloads in Azure to burst out to Azure Container Instances
And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.
Developing with Docker for the Arm Architecture
This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.
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Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
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From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
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Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Recently uploaded (20)
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Deploying containers on Heterogeneous IOT devices by Daniel Bruzual
- 1. Deploying Containers on Heterogeneous IoT Devices Daniel Bruzual Researcher at Aalto University
- 2. what it is and why it matters IoT and Fog Computing
- 7. • Distributed applications • Provisioning • Networking Docker Swarm
- 8. • Heterogeneous ○ Host OS ○ Architecture ○ Sensors • Resource-constrained IoT Devices
- 9. • Leader: docker swarm init • Copy tokens: docker swarm join-token worker • Other nodes: docker swarm join -token <token> <IP:PORT> Creating a Swarm Business as usual
- 10. • Server with swarm description • Startup container → pull config • Init swarm → store tokens • Join swarm Reference scenario: plug and play Provisioning Bootstrapping a swarm
- 11. • Leave out the clutter • Limited storage • Save bandwidth Compact Images Multi-stage builds
- 12. FROM golang:1.8 as build WORKDIR /go/src/humidity-sensor COPY main.go ./ RUN CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build -a -tags netgo -ldflags '-extldflags "-static"' -installsuffix cgo -o app . FROM scratch COPY --from=build /go/src/humidity-sensor/app /humidity COPY --from=build /etc/ssl/certs/ /etc/ssl/certs CMD ["/humidity"] Multi-Stage Dockerfile
- 13. • Multiple images under single name • Supported by Docker Swarm • Abstract host heterogeneity Reference scenario: different models of weather station Multiple Architectures Fat manifests
- 14. • Node labels • Placement constraints • Networks Deploy Applications
- 15. dan@farm $ docker service create --constraint ‘node.labels.device==thermometer’ --mode global temp-monitor temp-monitor Deploy Applications device = thermometer model = DS18B20 device = sprinkler
- 16. • --device /dev/* (SwarmKit #1244) • Secure provisioning Future Work Check out • Phil Estes C0 14:00 • hypriot.com • blog.alexellis.io • blog.resin.io
- 17. Thank You! Find me on Hallway track! @danbruzual #dockercon