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.
Become a Docker Power User With Microsoft Visual Studio CodeDocker, Inc.
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.
Build & Deploy Multi-Container Applications to AWSDocker, Inc.
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.
Continuous Deployment with Jenkins on KubernetesMatt Baldwin
Google Senior Software Engineer Evan Brown's presentation from the March 18, 2016 Seattle Kubernetes meetup hosted by StackPointCloud. Evan shows how you deploy Jenkins into Kubernetes, then takes us through CD and canary deployments. Join us in Seattle: http://www.meetup.com/Seattle-Kubernetes-Meetup/
Containerize Your Game Server for the Best Multiplayer Experience Docker, Inc.
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.
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.
The Dockerfile Explosion and the Need for Higher Level Tools by Gareth RushgroveDocker, Inc.
Dockerfiles are great. They provide a zero-barrier-to-entry format for
describing a single Docker image which is immediately clear to anyone
reading them. But with that simplicity comes problems that become
apparent as your adoption of Docker gathers pace.
* Dockerfiles can inherit from other docker images, but images are not
Dockerfiles
* Dockerfile provides no built-in mechanism for creating abstractions,
so as usage grows identical or similar instructions can be duplicated
across many files
* The Docker APi exposes a build endpoint, but the API is very course,
taking Dockerfile as the transport rather than exposing the individual
instructions
* Dockerfiles are just that, files. So they can come from anywhere
The one layer per line in a Dockerfile limitation can lead to an
explosion of layers, which fail to take advantage of the promised
space and performance benefits.
Running Docker in Production - The Good, the Bad and The UglyKontena, Inc.
When beginning to run Docker in production choosing the right path is critical. This presentation gives you some tips and suggestions on how to make this process easier.
Become a Docker Power User With Microsoft Visual Studio CodeDocker, Inc.
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.
Build & Deploy Multi-Container Applications to AWSDocker, Inc.
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.
Continuous Deployment with Jenkins on KubernetesMatt Baldwin
Google Senior Software Engineer Evan Brown's presentation from the March 18, 2016 Seattle Kubernetes meetup hosted by StackPointCloud. Evan shows how you deploy Jenkins into Kubernetes, then takes us through CD and canary deployments. Join us in Seattle: http://www.meetup.com/Seattle-Kubernetes-Meetup/
Containerize Your Game Server for the Best Multiplayer Experience Docker, Inc.
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.
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.
The Dockerfile Explosion and the Need for Higher Level Tools by Gareth RushgroveDocker, Inc.
Dockerfiles are great. They provide a zero-barrier-to-entry format for
describing a single Docker image which is immediately clear to anyone
reading them. But with that simplicity comes problems that become
apparent as your adoption of Docker gathers pace.
* Dockerfiles can inherit from other docker images, but images are not
Dockerfiles
* Dockerfile provides no built-in mechanism for creating abstractions,
so as usage grows identical or similar instructions can be duplicated
across many files
* The Docker APi exposes a build endpoint, but the API is very course,
taking Dockerfile as the transport rather than exposing the individual
instructions
* Dockerfiles are just that, files. So they can come from anywhere
The one layer per line in a Dockerfile limitation can lead to an
explosion of layers, which fail to take advantage of the promised
space and performance benefits.
Running Docker in Production - The Good, the Bad and The UglyKontena, Inc.
When beginning to run Docker in production choosing the right path is critical. This presentation gives you some tips and suggestions on how to make this process easier.
An introduction to using Docker Engine. We'll containerize a very simple web application and then talk about some easy ways to try out Docker Engine in your own way.
Containers are everywhere these days. Many of us are containerizing our applications to take advantage of the ease of a single artifact, but what can we do to make deploying these containers to a fleet of servers easier? Kubernetes is arguably the most popular container orchestration system to date. Kubernetes was born out of a decade of research at Google and has seen success; by itself as a fantastic way to orchestrate containers across multiple machines and as a component in other platforms.
This talk will begin with the anatomy and setup of a Kubernetes cluster. We'll demonstrate (live) taking a container containing a simple web service and launch our application into a small Kubernetes cluster. Next we'll perform a rolling update to deploy a new container version with zero downtime. Also, we'll check out some cool debugging features Kubernetes provides over the course of our demo.
Build Your Own SaaS using Docker. A proof of concept with a simple Memcached SaaS.
See the Memcached as a service application in action at http://www.memcachedasaservice.com
Find the source code on GitHub: https://github.com/jbarbier/SaaS_Memcached
Feeling overwhelmed while getting started with containers? Have you been tasked to figure out how to train everyone back at your organization? There's just so much to learn and teach! In this talk, we'll start with a tiny bit of history to motivate the "why" and quickly move into the "what" by explaining what container and images actually are (they're not just magical black boxes!). We'll talk about how volumes help with data persistence and include an overview of Docker Compose and even orchestration. There will be plenty of live demos and fun!
I presented these slides during Docker Bangalore Meetup which happened on 23-Nov in DellEMC in Bangalore. These slides talks about the recent acquisition of Docker Enterprise by Mirantis and talks about what Docker is going to focus next on.
There's a new Docker release, and with it lots of changes. In this video Mano Marks, Docker Developer Relations Director, highlights some of the biggest new features.
Docker 1.9 Release Blog Post:
http://blog.docker.com/2015/11/docker-1-9-production-ready-swarm-multi-host-networking
Docker 1.9 Release Notes:
https://github.com/docker/docker/blob/master/CHANGELOG.md
Docker Swarm 1.0 Blog Post:
http://blog.docker.com/2015/11/swarm-1-0
Docker Multi Host Networking Documentation:
http://docs.docker.com/engine/userguide/networking/
Docker Swarm Documentation:
https://docs.docker.com/swarm
Docker Compose Documentation:
https://docs.docker.com/compose
Online Meetup on Multi Host Networking:
http://www.meetup.com/Docker-Online-Meetup/events/226522306/
Online Meetup on Swarm:
http://www.meetup.com/Docker-Online-Meetup/events/226520109/
Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world’s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker’s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 “Dockerized” applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.
Containerizing a REST API and Deploying to KubernetesAshley Roach
Originally presented at GDG Denver on 2017-01-12, this presentation describes how I containerized a swagger-node REST microservice, and how to deploy a container to Kubernetes.
Managing Docker Containers In A Cluster - Introducing KubernetesMarc Sluiter
Containerising your applications with Docker gets more and more attraction. While managing your Docker containers on your developer machine or on a single server is not a big hassle, it can get uncomfortable very quickly when you want to deploy your containers in a cluster, no matter if in the cloud or on premises. How do you provide high availability, scaling and monitoring? Fortunately there is a rapidly growing ecosystem around docker, and there are tools available which support you with this. In this session I want to introduce you to Kubernetes, the Docker orchestration tool started and open sourced by Google. Based on the experience with their data centers, Google uses some interesting declarative concepts like pods, replication controllers and services in Kubernetes, which I will explain to you. While Kubernetes still is a quite young project, it reached its first stable version this summer, thanks to many contributions by Red Hat, Microsoft, IBM and many more.
Modernizing Traditional Apps with Docker Enterprise EditionElton Stoneman
From TechUG Glasgow - my session on modernizing traditional apps with Docker. I talk about what traditional apps are, what problems they have, how you can move them to Docker and what benefits you can expect from Docker EE.
Thinking Inside the Container: A Continuous Delivery Story by Maxfield Stewart Docker, Inc.
Riot builds a lot of software. At the start of 2015 we were looking at 3000 build jobs over a hundred different applications and dozens of teams. We were handling nearly 750 jobs per hour and our build infrastructure needed to grow rapidly to meet demand. We needed to give teams total control of the “stack” used to build their applications and we needed a solution that enabled agile delivery to our players. On top of that, we needed a scalable system that would allow a team of four engineers to support over 250.
After as few explorations, we built an integrated Docker solution using Jenkins that accepts docker images submitted as build environments by engineers around the company . Our “containerized” farm now creates over 10,000 containers a week and handles nearly 1000 jobs at a rate of about 100 jobs an hour.
In this occasionally technical talk, we’ll explore the decisions that led Riot to consider Docker, the evolutionary stages of our build infrastructure, and how the open source and in-house software we combined to achieve our goals at scale. You’ll come away with some best practices, plenty of lessons learned, and insight into some of the more unique aspects of our system (like automated testing of submitted build environments, or testing node.js apps in containers with Chromium and xvfb).
Webinar: Building Your First App in Node.jsMongoDB
Node.js is one of the fastest growing and most popular application frameworks today. It offers a set of features that is both useful and challenging to modern web and back-end developer. Most engineers think of it as a cool, simple, and fast application framework that makes iterative development easier.
In this webinar we will talk about how Node.js and MongoDB interact, discuss the best ways to get started, and walk through how to use MongoDB and Node.js in a set of use cases.
Webinar: Building Your First App in Node.jsMongoDB
Node.js is one of the fastest growing and most popular application frameworks today. It offers a set of features that is both useful and challenging to modern web and back-end developer. Most engineers think of it as a cool, simple, and fast application framework that makes iterative development easier.
In this webinar we will talk about how Node.js and MongoDB interact, discuss the best ways to get started, and walk through how to use MongoDB and Node.js in a set of use cases.
An introduction to using Docker Engine. We'll containerize a very simple web application and then talk about some easy ways to try out Docker Engine in your own way.
Containers are everywhere these days. Many of us are containerizing our applications to take advantage of the ease of a single artifact, but what can we do to make deploying these containers to a fleet of servers easier? Kubernetes is arguably the most popular container orchestration system to date. Kubernetes was born out of a decade of research at Google and has seen success; by itself as a fantastic way to orchestrate containers across multiple machines and as a component in other platforms.
This talk will begin with the anatomy and setup of a Kubernetes cluster. We'll demonstrate (live) taking a container containing a simple web service and launch our application into a small Kubernetes cluster. Next we'll perform a rolling update to deploy a new container version with zero downtime. Also, we'll check out some cool debugging features Kubernetes provides over the course of our demo.
Build Your Own SaaS using Docker. A proof of concept with a simple Memcached SaaS.
See the Memcached as a service application in action at http://www.memcachedasaservice.com
Find the source code on GitHub: https://github.com/jbarbier/SaaS_Memcached
Feeling overwhelmed while getting started with containers? Have you been tasked to figure out how to train everyone back at your organization? There's just so much to learn and teach! In this talk, we'll start with a tiny bit of history to motivate the "why" and quickly move into the "what" by explaining what container and images actually are (they're not just magical black boxes!). We'll talk about how volumes help with data persistence and include an overview of Docker Compose and even orchestration. There will be plenty of live demos and fun!
I presented these slides during Docker Bangalore Meetup which happened on 23-Nov in DellEMC in Bangalore. These slides talks about the recent acquisition of Docker Enterprise by Mirantis and talks about what Docker is going to focus next on.
There's a new Docker release, and with it lots of changes. In this video Mano Marks, Docker Developer Relations Director, highlights some of the biggest new features.
Docker 1.9 Release Blog Post:
http://blog.docker.com/2015/11/docker-1-9-production-ready-swarm-multi-host-networking
Docker 1.9 Release Notes:
https://github.com/docker/docker/blob/master/CHANGELOG.md
Docker Swarm 1.0 Blog Post:
http://blog.docker.com/2015/11/swarm-1-0
Docker Multi Host Networking Documentation:
http://docs.docker.com/engine/userguide/networking/
Docker Swarm Documentation:
https://docs.docker.com/swarm
Docker Compose Documentation:
https://docs.docker.com/compose
Online Meetup on Multi Host Networking:
http://www.meetup.com/Docker-Online-Meetup/events/226522306/
Online Meetup on Swarm:
http://www.meetup.com/Docker-Online-Meetup/events/226520109/
Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world’s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker’s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 “Dockerized” applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.
Containerizing a REST API and Deploying to KubernetesAshley Roach
Originally presented at GDG Denver on 2017-01-12, this presentation describes how I containerized a swagger-node REST microservice, and how to deploy a container to Kubernetes.
Managing Docker Containers In A Cluster - Introducing KubernetesMarc Sluiter
Containerising your applications with Docker gets more and more attraction. While managing your Docker containers on your developer machine or on a single server is not a big hassle, it can get uncomfortable very quickly when you want to deploy your containers in a cluster, no matter if in the cloud or on premises. How do you provide high availability, scaling and monitoring? Fortunately there is a rapidly growing ecosystem around docker, and there are tools available which support you with this. In this session I want to introduce you to Kubernetes, the Docker orchestration tool started and open sourced by Google. Based on the experience with their data centers, Google uses some interesting declarative concepts like pods, replication controllers and services in Kubernetes, which I will explain to you. While Kubernetes still is a quite young project, it reached its first stable version this summer, thanks to many contributions by Red Hat, Microsoft, IBM and many more.
Modernizing Traditional Apps with Docker Enterprise EditionElton Stoneman
From TechUG Glasgow - my session on modernizing traditional apps with Docker. I talk about what traditional apps are, what problems they have, how you can move them to Docker and what benefits you can expect from Docker EE.
Thinking Inside the Container: A Continuous Delivery Story by Maxfield Stewart Docker, Inc.
Riot builds a lot of software. At the start of 2015 we were looking at 3000 build jobs over a hundred different applications and dozens of teams. We were handling nearly 750 jobs per hour and our build infrastructure needed to grow rapidly to meet demand. We needed to give teams total control of the “stack” used to build their applications and we needed a solution that enabled agile delivery to our players. On top of that, we needed a scalable system that would allow a team of four engineers to support over 250.
After as few explorations, we built an integrated Docker solution using Jenkins that accepts docker images submitted as build environments by engineers around the company . Our “containerized” farm now creates over 10,000 containers a week and handles nearly 1000 jobs at a rate of about 100 jobs an hour.
In this occasionally technical talk, we’ll explore the decisions that led Riot to consider Docker, the evolutionary stages of our build infrastructure, and how the open source and in-house software we combined to achieve our goals at scale. You’ll come away with some best practices, plenty of lessons learned, and insight into some of the more unique aspects of our system (like automated testing of submitted build environments, or testing node.js apps in containers with Chromium and xvfb).
Webinar: Building Your First App in Node.jsMongoDB
Node.js is one of the fastest growing and most popular application frameworks today. It offers a set of features that is both useful and challenging to modern web and back-end developer. Most engineers think of it as a cool, simple, and fast application framework that makes iterative development easier.
In this webinar we will talk about how Node.js and MongoDB interact, discuss the best ways to get started, and walk through how to use MongoDB and Node.js in a set of use cases.
Webinar: Building Your First App in Node.jsMongoDB
Node.js is one of the fastest growing and most popular application frameworks today. It offers a set of features that is both useful and challenging to modern web and back-end developer. Most engineers think of it as a cool, simple, and fast application framework that makes iterative development easier.
In this webinar we will talk about how Node.js and MongoDB interact, discuss the best ways to get started, and walk through how to use MongoDB and Node.js in a set of use cases.
Running MongoDB Enterprise on KubernetesAriel Jatib
Video : https://www.youtube.com/watch?v=vmIOCYZRZu4&t=2908s
Slides from Jason Mimicks presentation at the June 2018 Chicago Kubernetes Meetup - video here : https://youtu.be/vmIOCYZRZu4?t=48m28s
A bit of history, frustration-driven development, and why and how we started looking into Puppet at Opera Software. What we're doing, successes, pain points and what we're going to do with Puppet and Config Management next.
Presentation on MongoDB and Node.JS. We describe how to do basic CRUD operations (insert, remove, update, find) how to aggregate using node.js. We also discuss a bit of Meteor, MEAN Stack and other ODMs and projects on Javascript and MongoDB
Setup of the Docker environment on a Node.js application. Several components are used: Docker Machine, Dockerfile, Docker Compose, libnetwork, Docker Swarm, setup of a load balancing with HAProxy / Interlock
A team's learnings from adopting devops and automating an otherwise labor-intensive server fleet. The bottom line: As with code, automated tests and CI are king.
This talk was held at Barcamp Salzburg in October 2016.
Troubleshooting Tips from a Docker Support EngineerJeff Anderson
Troubleshooting is like going on an adventure. Here are some tips for how to tackle unexpected situations when using Docker.
These cases were pulled from the most common issues encountered while helping folks in the Docker community solve issues.
Troubleshooting Tips from a Docker Support Engineer - Jeff Anderson, DockerDocker, Inc.
Docker makes everything easier. But even with the easiest platforms, sometimes you run into problems. In this session, you'll learn first hand from someone whose job is helping customers fix these problems. Using Docker and Docker Data Center, you can keep your apps running smoothly with minimal downtime. In this session, you'll learn how to apply your troubleshooting skills in the Docker ecosystem, including: 1. Identification and characterization of the problem. 2. Command line tools to inspect networking and namespaces. 3. Applying these skills to your workloads on OSS Docker and on DDC.
How to Improve Your Image Builds Using Advance Docker BuildDocker, Inc.
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.
From development environments to production deployments with Docker, Compose,...Jérôme Petazzoni
In this session, we will learn how to define and run multi-container applications with Docker Compose. Then, we will show how to deploy and scale them seamlessly to a cluster with Docker Swarm; and how Amazon EC2 Container Service (ECS) eliminates the need to install,operate, and scale your own cluster management infrastructure. We will also walk through some best practice patterns used by customers for running their microservices platforms or batch jobs. Sample code and Compose templates will be provided on GitHub afterwards.
Build & Deploy Multi-Container Applications to AWSDocker, Inc.
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 NGINXDocker, Inc.
Kevin Jones, NGNIX -
NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.
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 SalesforceDocker, Inc.
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 HubDocker, Inc.
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.
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...Docker, Inc.
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.
Chris Lauer, NOAA Space Weather Prediction Center -
This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019.
How to Use Mirroring and Caching to Optimize your Container RegistryDocker, Inc.
Brandon Mitchell, Boxboat + Docker Captain -
How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.
Monolithic to Microservices + Docker = SDLC on Steroids!Docker, Inc.
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.
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.
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment ModelDocker, Inc.
Patrick Deloulay, Micro Focus -
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.
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...Docker, Inc.
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 ArchitectureDocker, Inc.
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.
Sharing is Caring: How to Begin Speaking at ConferencesDocker, Inc.
For many, the idea of speaking in front of a bunch of strangers can be enough to prevent you from ever responding to a CFP. But don't let it! Speaking at conferences, meetups, or even at your own company is a fantastic way to share you knowledge, meet others, advance your career, and give back. Whether you are on the fence, have decided to take the plunge and submit a CFP, or have already even a few talks, this session is for you. Drawing on their experience reviewing DockerCon CFPs and prepping speakers (including themselves) for a variety of conferences, Jenny Burcio and Ashlynn Polini will outline tips and strategies for turning your idea into a winning proposal and ultimately a compelling talk. They will share how to submit and prepare for your first - or next - conference talk.
DCSF 19 How Entergy is Mitigating Legacy Windows Operating System Vulnerabili...Docker, Inc.
Jason Brown - Program Manager, Entergy
Jeff Hummel - IT Infrastructure, Architect, Entergy
Entergy, a large utility company headquartered in New Orleans, LA has launched an initiative to modernize their application infrastructure. During the initial analysis, Entergy recognized the existing legacy infrastructure’s lack of compatibility with more recent operating systems would stand in the way of progress. As a result, containerization was fast-tracked as the solution that can help them with the various tenants of their strategy: hyperconvergence, SaaS (ServiceNow), and workload portability. Docker Enterprise proved to be the right solution to migrate roughly 850 legacy applications from Windows Server 2003 and 2008 to Windows Server 2016 quickly, securely and economically. Entergy IT has now delivered the ability for the business to run applications on-premise, in the cloud, and future-proofed the applications for migration to new versions of Windows Server. In this session, Entergy will talk about how they are modernizing their infrastructure to become more agile, secure, and enable workload portability.
DCSF 19 Developing Apps with Containers, Functions and Cloud ServicesDocker, Inc.
Cloud native applications are composed of containers, serverless functions and managed cloud services.
What is the best set of tools on your desktop to provide a rapid, iterative development experience and package applications using these three components?
This hand-on talk will explain how you can complement Docker Desktop, with it’s local Docker engine and Kubernetes cluster, with open source tools such as the Virtual Kubelet, Open Service Broker, the Gloo hybrid app gateway, Draft, and others, to build the most productive development inner-loop for these type of applications.
It will also cover how you can use the Cloud Native Application Bundle (CNAB) format and it’s implementation in the Docker app experimental tool to package your application and manage it with container supply chain tooling such as Docker Hub.
It's been three years since Netflix's Brendan Gregg described the Berkeley Packet Filter as "Superpowers for Linux". Since then there has been an explosion of capabilities and tools based on eBPF, so you've probably heard the term, but do you know what it is and how to use it? In this demo-rich talk we'll explore some of the powerful things we can do with this technology, especially in the context of containers.
DCSF 19 Zero Trust Networks Come to Enterprise KubernetesDocker, Inc.
Docker Enterprise got a big upgrade this year with Calico 3.5 for its Kubernetes networking! One of the most exciting new features is the ability to build Zero Trust Kubernetes networks with Calico Application Layer Policy in concert with Istio service mesh. Zero Trust networking is a way to build distributed applications such that they maintain security, even when containers, or the network itself, is compromised.
Starting with Docker Enterprise, they will demonstrate some common network attacks such as IP address spoofing and certificate exfiltration, then demonstrate building a Zero Trust network (by installing Istio and Application Layer Policies) for the application. They will show how this Zero Trust network repels all the demonstrated attack strategies and explain how to build and maintain a Zero Trust network for your own applications.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
16. Dockerfile
CODE EDITOR
FROM node:12-alpine
RUN apk add --update --no-cache
curl
git
vim
RUN mkdir -p /home/node/app/node_modules && chown
-R node:node /home/node/app
USER node
WORKDIR /home/node/app
1. Build the base
2. Install
container-level
dependencies
3. Set working
directory & user
17. Dockerfile
CODE EDITOR
FROM node:12-alpine
RUN apk add --update --no-cache
curl
git
vim
RUN mkdir -p /home/node/app/node_modules && chown
-R node:node /home/node/app
USER node
WORKDIR /home/node/app
COPY package*.json ./
COPY --chown=node:node . .
RUN npm install
1. Build the base
2. Install
container-level
dependencies
3. Set working
directory & user
4. Copy code, set
permissions, and
install project
dependencies
18. Dockerfile
CODE EDITOR
FROM node:12-alpine
RUN apk add --update --no-cache
curl
git
vim
RUN mkdir -p /home/node/app/node_modules && chown
-R node:node /home/node/app
USER node
WORKDIR /home/node/app
COPY package*.json ./
COPY --chown=node:node . .
RUN npm install
EXPOSE 8080
CMD [ “node”, “app.js” ]
1. Build the base
2. Install
container-level
dependencies
3. Set working
directory & user
4. Copy code, set
permissions, and
install project
dependencies
5. Expose ports and
invoke commands
24. ● Service: A running container
● Service definition: Information
about how the container will run
25. ● Service: A running container
● Service definition: Information about how
the container will run
● 12FA principles to consider: 1. Store config
in the environment & separate it from code;
2. Treat backing services as attached
resources
26. Where to look & what to do?
● Where are your database credentials defined?
● Anything else that talks to an attached service?
52. Compose
File
TODO
CODE EDITOR
certbot:
image: certbot/certbot
container_name: certbot
volumes:
- certbot-etc:/etc/letsencrypt
- certbot-var:/var/lib/letsencrypt
- app_code:/var/www/html
depends_on:
- webserver
command: certonly --webroot --webroot-path=/var/www/html
--email sammy@example.com --agree-tos --no-eff-email --staging -d
example.com -d www.example.com
1. Application
images: Pull from
registry
2. Use Named
Volumes: Prefer
them over bind
mounts for app code
3. Add a web server
53. Compose
File
TODO
CODE EDITOR
webserver:
image: nginx:1.17-alpine
container_name: webserver
ports:
- "80:80"
volumes:
- app_code:/var/www/html
- ./nginx-conf:/etc/nginx/conf.d
- certbot-etc:/etc/letsencrypt
- certbot-var:/var/lib/letsencrypt
depends_on:
- nodejs
1. Application
images: Pull from
registry
2. Use Named
Volumes: Prefer
them over bind
mounts for app code
3. Add a web server
54. Compose
File
TODO
CODE EDITOR
webserver:
image: nginx:1.17-alpine
container_name: webserver
ports:
- "80:80"
volumes:
- app_code:/var/www/html
- ./nginx-conf:/etc/nginx/conf.d
- certbot-etc:/etc/letsencrypt
- certbot-var:/var/lib/letsencrypt
depends_on:
- nodejs
1. Application
images: Pull from
registry
2. Use Named
Volumes: Prefer
them over bind
mounts for app code
3. Add a web server
4. Docker for certs:
How To Secure a
Containerized Node
Application with Let's
Encrypt
55. How to Build and Run Node Applications With
Docker and Compose
- Kathleen Juell, Developer @ DigitalOcean, @katjuell