DCEU 18: 5 Patterns for Success in Application Transformation
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Elton Stoneman - Developer Advocate, Docker Legacy applications weren't designed to run in a modern distributed platform like Docker. They have their own ideas about logging, configuration and health which don't translate to the world of containers and make transformation projects hard. This session shows you how to bring your old applications into the modern world, and integrate them with Docker - without changing code. We'll cover patterns for all the core application concerns: * logging * configuration * monitoring * health * dependency management The sample applications will be in .NET and Java, and will show you how to turn your existing applications into good Docker citizens.
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Does Windows have namespaces? How does it compose the layers of a container's filesystem? How does it limit resource usage of containers? I heard there's a Hyper-V isolation thing, what's that about?
We'll answer all these questions and more!"
DCEU 18: Provisioning and Managing Storage for Docker Containers
Anshul Pundir - Senior Software Engineer, Docker
Anusha Ragunathan - Senior Software Engineer, Docker Inc
In this talk, we will discuss storage concepts related to containers on the Docker platform with the perspective of what is important throughout the lifecycle of an application., We will focus on application provisioning: creating persistent volumes and policies for stateful data and management: replication and failover scenarios, backup/restore, monitoring etc. Through this talk, we will cover the latest storage features and also some of the current and future direction of container storage. Key concepts covered about running stateful applications: - Persistent Volumes - Provisioning (Static vs Topology-aware) - Data Availability (failover with scheduler policies) - Data Protection (using Backup/Restore) - Monitoring (using Prometheus/Grafana dashboards) We will look at each of the characteristics in detail with demos.
Automating CICD Pipeline with GitLab and Docker Containers for Java Applications
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Setting up proper CI/CD pipeline usually appears to be quite a complex and time-consuming task even for an experienced developer, as you need to know how to properly combine all the application components with the required CI/CD interconnection points. Moreover, in the Docker world you have to manage builds of your stack images. But everyone understands the importance of this process to save time, money and efforts, as well as increase the quality. See how to make the required configurations in order to automate and simplify the preparation of environments for all lifecycle stages, perform instant integration of new product versions and make updates without downtimes. DockerCon EU 2015: Docker Universal Control Plane (Gordon's Special Session)
Presentation by Evan Hazlett, Sr. Software Engineer, Docker and Banjot Chanana, Sr. Director of Product Management, Docker
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.
DCEU 18: Docker Enterprise Platform and Architecture
Jean Rouge - Sr. Software Engineer, Docker
David Yu - Product Manager, Docker
Docker Enterprise is an enterprise container platform for developers and IT admins building and managing container applications. The platform includes integrated orchestration (Swarm and Kubernetes), advanced private image registry, and centralized admin console to secure, troubleshoot, and manage containerized applications. This talk will focus on the Docker Enterprise platform's technical architecture, key features and use cases it is designed to support. Key areas covered in this session: -Latest features and enhancements -Security and Compliance - how to ensure oversight and validate applications for different compliance regulations -Operational Insight - how to identify and troubleshoot issues in your container environment -Integrated Technology - the technologies are supported and can be run with Docker Enterprise -Policy-based Automation - how to scale container environments through automated policies.
The Tale of Two Deployments: Greenfield and Monolith Apps with Docker Enterpr...
Docker use at Cornell University has been increasing steadily over the last 3 years in our central departments and various colleges - particularly as we move more workloads to the cloud. In this talk, we’ll give an overview of our Docker use cases across campus, featuring in detail two specific projects that highlight the versatility of this technology: Containerizing our central financial system (a traditional monolithic system); and building new researcher-focused financial tools natively in Docker (a microservice architecture built with the cloud in mind). We’ll discuss the design and implementation of both projects in detail. We’ll also describe how Docker has enabled us to develop consistent DevOps and CI practices spanning these two very different architectures.
On Prem Container Cloud - Lessons Learned
By, Pradipta Banerjee
Planning to use Docker and Kubernetes in production for cloud-native apps. Concerned about how to integrate a Kubernetes cluster into your existing infrastructure!! This talk will take you through some of the common challenges when deploying an on-prem Kubernetes cluster and how to address those challenges
NetflixOSS for Triangle Devops Oct 2013
My @TriangleDevops talk from 2013-10-17. I covered the work that led us to @NetflixOSS (Acme Air), the work we did on the cloud prize (NetflixOSS on IBM SoftLayer/RightScale) and the @NetflixOSS platform (Karyon, Archaius, Eureka, Ribbon, Asgard, Hystrix, Turbine, Zuul, Servo, Edda, Ice, Denominator, Aminator, Janitor/Conformity/Chaos Monkeys of the Simian Army).
Taking Docker from Local to Production at Intuit JanJaap Lahpor, Intuit and H...
In this talk, we will share how a small team at Intuit moved Docker from local to production serving real and critical workloads. We will share how we addressed the organization challenges of running Docker at large enterprises by building a business case for a pilot project to prove the value of containers and its real world application. Next, we will share how we solved the technical challenges that present themselves when taking Docker from local to production in a corporate data center. We will share the blueprint for the business case and the associated pilot which laser focused on running stateless back-end services throughout the entire SDLC. Finally, we will highlight our crawl-walk-run approach that allowed us to make inexpensive mistakes before investing in the right areas as our Docker knowledge increased. We will share the major technical issues we encountered, how we overcame them and the lessons we learned.
Practical Container Security by Mrunal Patel and Thomas Cameron, Red Hat
You can secure your containerized microservices without slowing down development. Through a combination of Linux kernel features and open source tools, you can isolate the host from the container and the containers from each other, as well as finding vulnerabilities and securing data. Two of Red Hat's Docker contributors will discuss the state of container security today, covering Linux namespaces, SElinux, cgroups, capabilities, scan, seccomp, and other tools you can use right now.
Docker in Production, Look No Hands! by Scott Coulton
In this session we will talk about HealthDirect’s journey with Docker. We will follow the life cycle of a container through our CD process to its home in our swarm cluster with just a git commit thanks to configuration management. We will cover the CD process for Docker, Docker swarm, Docker networking and service discovery. The audience will leave with a solid foundation of how to build a production ready swarm cluster (A github repo with code will be given). They will also have the knowledge of how to implement a CD framework using Docker.
Tales of Training: Scaling CodeLabs with Swarm Mode and Docker-Compose
Why does any "code lab workshop" or live demo are always such a challenge?
A wise sysadmin once told me: “Get your hand dirty with the production to learn”.
So I want to tell you a story of getting hand dirties, by creating a code lab environment considered as production.
This story will show that we can build a reproducible environment for code-labs workshops, by using the Docker “tools”: the Engine, Swarm Mode, Docker-Compose, Moby, LinuxKit.
Following the spirit of “Play With Docker”, but generalized at any service collection, this Codelab toolkit has been used on code-labs workshops of 120+ people.
That path was not a free lunch, but the lessons learned will give you an idea on how a training environment can be efficiently done with Compose and Swarm Mode, by treating it as a “production” platform, tackling the plumbing “youth” limitations for the better of your use case.
As a trainer, I never learned so much than building something to teach people someone else: this the story I want to tell you, the tale of using Docker as a tool of MASSIVE KNOWLEDGE SHARING, which is the root of growing our industry together.
Java in a world of containers
"Container technologies such as Docker are rapidly becoming the de-facto way to deploy cloud applications, and Java is committed to being a good container citizen. This session will explain how OpenJDK fits into the world of containers, specifically how it fits with Docker images and containers.
The session will focus on the production of optimized Docker images containing a JDK. We will introduce technologies such as jlink, that can be used to reduce the size of the created image. The session will explain Alpine/musl support for an effective image and runtime. The session will also talk about and the inclusion of Class Data Sharing (CDS) archives and Ahead of Time (AOT) shared object libraries for improving startup time.
The attendees will learn about the recent work that has gone into OpenJDK for interacting with container resource limitations."
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Packaging software for the distribution on the edge
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This session shows you how to bring your old apps into the modern world, and integrate them with Docker - without changing code. We'll cover patterns for all the core application concerns:
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The sample apps will be in .NET and Java, and will show you how to turn your existing apps into good Docker citizens.
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2019 has been a great year for APPSeCONNECT, with extensive product development and enhancements done to the platform. Being one of the prime players of the iPaaS industry, APPSeCONNECT has improved its integration capabilities and tries to support more and more business applications.
We recently had a #Webinar on the Product Updates throughout 2019. Check it out now!
The webinar covered the following points:
1. Major updates on APPSeCONNECT Portal
2. Major updates on APPSeCONNECT Cloud Hosted Solution
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DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to increase an organisation's ability to deliver applications and services faster than traditional software development processes.
Training Bootcamp - MainframeDevOps.pptx
Cloud Migration services from your on-premise environment can sometimes be very simple and other times an extremely complicated project to implement. For either scenario, there are always considerations to bear in mind when doing so. This course has been designed to highlight these topics to help you ask the right questions to aid in a successful Cloud migration.
Within this course, we look at how timing plays an important part in your project's success and why phased deployments are important. Security is also examined where we focus on a number of key questions that you should have answers to from a business perspective before your Cloud migration. One of the biggest decisions is your chosen public cloud vendor, how do you make the decision between the available vendors, what should you look for when selecting you will host your architecture, this course dives into this question to help you finalize your choice.
Understanding the correct deployment model is essential, it affects how you architect your environment and each provides different benefits, so gaining the knowledge. I look at how you can break this question down to help you with your design considerations. We also cover service readiness from your on-premise environment and how to align these to the relevant Cloud services. Your design will certainly be different from your on-premise solution, I discuss the best approach when you start to think about your solution design, some of the dos and some of the don’ts.
Once you have your design, it’s important to understand how you are actually going to migrate your services ensuring optimum availability and minimal interruption to your customer base, for example looking at Blue/Green and Canary deployments. Cloud migration allows for some great advantages within your business continuity plans, as a result, I have included a lecture to discuss various models that work great within the Cloud.
Course Objectives
By completing this course you will:
Have greater visibility of some of the key points of a cloud migration
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Intended Audience
This course has been designed for anyone who works or operates in business management, business strategy, technical management, and technical operations.
Prerequisites
For this course, it's assumed that you have a working knowledge of cloud computing and cloud principles.
What You Will Learn about Cloud Migration
Introduction - This provides an introduction to the trainer and covers the intended audience. We will also look at what lectures are included in the course, and what you will gain as a student from attending the course.
Time Management – How time plays an important part in successful cloud migration. We discuss the key points to allow time for and how to use it to plan a phased migration.
Security – This lecture will give you the ability to ask the key security questions to the business before performing a migration to the Cloud.
Application Lifecycle Management
To find out more about training on AWS, visit: www.globalknowledge.co.uk/aws
AWS Pop-up Loft | London, April 28, 2016
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A large part of the success of agile adoptions is due to the automated testing approach used in agile projects. Because many of these techniques were pioneered in the development of web applications it can be hard to see how these techniques can be leveraged for a project where the software being built is for an embedded application. Discover ways to leverage agile testing techniques for embedded systems. Whether you are building a medical device, embedded controller, or Internet of Things device learn how to leverage these testing practices to create fully automated tests that fit into a DevOps build pipeline and help your team create higher quality, more reliable software. Test automation is the best way to maintain and execute a comprehensive suite of regression tests that allows you to take back control of your testing process while increasing test coverage. Learn how to be in control of your test process by stepping up your test automation to the next level.
Embedded development and Internet of Things development is often done on platforms that lack modern software development and test automation tools. The more esoteric or the smaller the target audience, the less likely tool vendors are to create products that directly support the deployment environment. This can make getting started with test automation using older tools that are not as actively supported by vendors can be a challenge that has to be overcome by a team that wants to move toward a Continuous Deployment process.
This session is aimed at people that are trying to adopt agile and continuous delivery with embedded technology, but might be worried that it can’t work in their particular environment due to their industry, technology stack, culture, or regulatory environment.
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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.
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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.
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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:
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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.
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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.
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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.
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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.
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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.
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Ara Pulido, Datadog -
Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.
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Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.
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.
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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.
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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
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https://alandix.com/academic/papers/synergy2024-epistemic/
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Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
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- Demonstration of InfluxDB and Grafana using a practice web application
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https://www.rttsweb.com/jmeter-integration-webinar
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DCEU 18: 5 Patterns for Success in Application Transformation
- 1. @EltonStoneman Docker Application Transformation: 5 Patterns for Success
- 10. Making Old Apps Work Like New Apps Without: • Changing code • Taking a technology dependency • Breaking the dev workflow
- 11. • Explicit log sink • Log relay utility • Runs in foreground Logs Health Config Dependencies Metrics #1 – Logging
- 12. > demo
- 13. • Default configuration • Known file path • Config injected by platform Logs Health Config Dependencies Metrics #2 – Config
- 14. > demo
- 15. • Dependency check utility • Runs once before startup • Config-aware & robust Logs Health Config Dependencies Metrics #3 – Dependencies
- 16. > demo
- 17. • Healthcheck utility • Runs periodically • Exercises app logic Logs Health Config Dependencies Metrics #4 – Health
- 18. > demo
- 19. • Metrics exporter utility • Runs in background • Exposes runtime metrics Logs Health Config Dependencies Metrics #5 – Metrics
- 20. > demo
- 21. Monolith* Monolith*Cloud Native Serverless Swarm Kubernetes DOCKER ENTERPRISE EDITION
- 22. Next Steps • Docker trial | trial.docker.com • .NET videos | dockr.ly/mta-dev • Java videos | dockr.ly/mta-java • Today’s demos| is.gd/OwADax
- 24. Take A Breakout Survey Access your session and/or workshop surveys for the conference at any time by tapping the Sessions link on the navigation menu or block on the home screen. Find the session/workshop you attended and tap on it to view the session details. On this page, you will find a link to the survey.
- 25. https://dockr.ly/WindowsServerUpgrade Migrate Legacy Windows Before End of Support For more information visit: