Slides used in the BelfastJUG meet up session back in 2016.
We went through in depth aspects of how to use Java with Spring Boot and Docker together, where I shared some of my practical experience on those technologies.
Разработка cloud-native Java-приложений для Kubernetes, Егор Волков,Senior Ja...DataArt
This document provides an introduction to building cloud-native Java applications using Docker and Kubernetes. It begins by explaining how to set up the necessary tools like Java, Docker, Kompose, and Kubernetes. It then demonstrates Dockerizing a sample Java application and deploying it locally with Docker Compose. Next, it shows how to deploy the application to Kubernetes, using Kompose to generate Kubernetes manifest files. It discusses some initial challenges in exposing the application via Kubernetes and provides solutions using NodePorts and Ingress. It concludes by outlining some next steps like improving load balancing, deploying multiple instances, using namespaces, and aggregating logs.
This document discusses best practices for improving Dockerfiles. It provides examples of optimizing Dockerfiles to reduce image size, build time, and improve maintainability. Specific techniques covered include using multi-stage builds, caching dependencies, copying specific files rather than entire contexts, and leveraging official images when possible. New Dockerfile features like context mounts and secrets are also briefly introduced.
Summary of changes introduced on DockerCon's in 2017.
Highlights of new tools, updates & key announcements including their potential impact on our daily projects.
Streamline your development environment with dockerGiacomo Bagnoli
These days applications are getting more and more complex. It's becoming quite
difficult to keep track of all the different components an application needs in order to
function (a database, a message queueing system, a web server, a document
store, a search engine, you name it.). How many times we heard 'it worked on my
machine'?. In this talk we are going to explore Docker, what it is, how it works
and how much it can benefit in keeping the development environment consistent.
We are going to talk about Dockerfiles, best practices, tools like fig and vagrant,
and finally show an example of how it applies to a ruby on rails
application.
This document discusses best practices for implementing container image promotion pipelines. It recommends building images only once and promoting immutable artifacts between separated development, testing, staging and production environments. Specific strategies covered include using metadata tags or separate Docker repositories to isolate environments, virtual hosts to support multiple registries per host, and owning all dependencies to ensure consistency. The key is to build once and promote only tested, immutable images in a standardized process to different environments.
DCSF 19 Deploying Rootless buildkit on KubernetesDocker, Inc.
DockerCon Open Source Summit: BuildKit
Akihiro Suda, NTT Corporation
Building images on Kubernetes is attractive for distributing workload across multiple nodes, typically in CI/CD pipeline. However, it had been considered dangerous due to the dependency on `securityContext.privileged`.
In this talk, Akihiro will show how to use Rootless BuildKit in Kubernetes, which can be executed as a non-root user without extra `securityContext` configuration.
This document discusses best practices for writing Dockerfiles. It begins with a refresher on images, Dockerfile build processes, and areas for improvement. Examples are provided of optimizing a sample Dockerfile to improve build caching, reduce image size, and increase reproducibility. Specific techniques covered include ordering commands to leverage caching, using official base images, multi-stage builds, and build arguments. Benchmarks show the optimized Dockerfile builds faster and produces smaller images.
Разработка cloud-native Java-приложений для Kubernetes, Егор Волков,Senior Ja...DataArt
This document provides an introduction to building cloud-native Java applications using Docker and Kubernetes. It begins by explaining how to set up the necessary tools like Java, Docker, Kompose, and Kubernetes. It then demonstrates Dockerizing a sample Java application and deploying it locally with Docker Compose. Next, it shows how to deploy the application to Kubernetes, using Kompose to generate Kubernetes manifest files. It discusses some initial challenges in exposing the application via Kubernetes and provides solutions using NodePorts and Ingress. It concludes by outlining some next steps like improving load balancing, deploying multiple instances, using namespaces, and aggregating logs.
This document discusses best practices for improving Dockerfiles. It provides examples of optimizing Dockerfiles to reduce image size, build time, and improve maintainability. Specific techniques covered include using multi-stage builds, caching dependencies, copying specific files rather than entire contexts, and leveraging official images when possible. New Dockerfile features like context mounts and secrets are also briefly introduced.
Summary of changes introduced on DockerCon's in 2017.
Highlights of new tools, updates & key announcements including their potential impact on our daily projects.
Streamline your development environment with dockerGiacomo Bagnoli
These days applications are getting more and more complex. It's becoming quite
difficult to keep track of all the different components an application needs in order to
function (a database, a message queueing system, a web server, a document
store, a search engine, you name it.). How many times we heard 'it worked on my
machine'?. In this talk we are going to explore Docker, what it is, how it works
and how much it can benefit in keeping the development environment consistent.
We are going to talk about Dockerfiles, best practices, tools like fig and vagrant,
and finally show an example of how it applies to a ruby on rails
application.
This document discusses best practices for implementing container image promotion pipelines. It recommends building images only once and promoting immutable artifacts between separated development, testing, staging and production environments. Specific strategies covered include using metadata tags or separate Docker repositories to isolate environments, virtual hosts to support multiple registries per host, and owning all dependencies to ensure consistency. The key is to build once and promote only tested, immutable images in a standardized process to different environments.
DCSF 19 Deploying Rootless buildkit on KubernetesDocker, Inc.
DockerCon Open Source Summit: BuildKit
Akihiro Suda, NTT Corporation
Building images on Kubernetes is attractive for distributing workload across multiple nodes, typically in CI/CD pipeline. However, it had been considered dangerous due to the dependency on `securityContext.privileged`.
In this talk, Akihiro will show how to use Rootless BuildKit in Kubernetes, which can be executed as a non-root user without extra `securityContext` configuration.
This document discusses best practices for writing Dockerfiles. It begins with a refresher on images, Dockerfile build processes, and areas for improvement. Examples are provided of optimizing a sample Dockerfile to improve build caching, reduce image size, and increase reproducibility. Specific techniques covered include ordering commands to leverage caching, using official base images, multi-stage builds, and build arguments. Benchmarks show the optimized Dockerfile builds faster and produces smaller images.
Democratizing Development - Scott GressDocker, Inc.
We all know the benefits of using Docker to standardize development and production environments. Using Electron to create a cross-platform desktop app that connects to both Docker and Treeline (the online IDE for Sails.js apps) we can further lower the barrier to entry for developers and open up the "black box" of development to non-technical stakeholders.
DCSF19 Tips and Tricks of the Docker Captains Docker, Inc.
Brandon Mitchell, BoxBoat
Docker Captain Brandon Mitchell will help you accelerate your adoption of Docker containers by delivering tips and tricks on getting the most out of Docker. Topics include managing disk usage, preventing subnet collisions, debugging container networking, understanding image layers, getting more value out of the default volume driver, and solving the UID/GID permission issues with volumes in a way that allows images to be portable from any developer laptop and to production.
- Docker allows for OS-level virtualization of applications into lightweight isolated containers. Docker Hub is used to store and distribute Docker images.
- Rancher provides tools for orchestrating Docker containers across multiple hosts. The Rancher Catalog allows deploying Dockerized applications in a standardized way using templates that prompt for configurable options.
- The document discusses using Docker and Rancher together to build, deploy, manage and scale containerized applications both on a single host and across multiple hosts for production use.
This document discusses how Docker can help humans manage applications by allowing developers to package applications into images and containers. It describes how Docker images are built using Dockerfiles and how containers run applications from these images. The presentation focuses on tools like Panamax that help developers deploy and manage multi-container applications on infrastructure like DigitalOcean droplets. It emphasizes integrating Docker and continuous deployment into a developer's workflow.
Docker All The Things - ASP.NET 4.x and Windows Server ContainersAnthony Chu
Docker is awesome and there's been a lot of excitement over .NET Core running in Linux containers. But why do older apps have to miss out on the fun? With Windows Server 2016 and Windows Server containers, there's finally a way to dockerize .NET 4.6 apps using the same Docker tools and commands as we're used to on Linux. In this intermediate level talk, I'll give an overview of Docker and Windows Server containers. Then I'll demonstrate different ways to run existing ASP.NET Web API, MVC, and even WebForms applications inside Docker containers.
Real World Lessons on the Pain Points of Node.JS ApplicationBen Hall
This document provides lessons learned from real world experiences with Node.js applications. It discusses the importance of upgrading to newer Node.js versions for security and features. It also emphasizes the importance of error handling, using promises for async flow control, and scaling applications using Docker containers. Debugging and monitoring Node.js applications for performance is also covered.
The document discusses different approaches to packaging Java applications including fat JARs, thin JARs, skinny JARs, and hollow JARs. It analyzes the packaging of sample "Hello World" applications using Spring Boot, WildFly Swarm, Eclipse Vert.x, and Dropwizard. Fat JARs package the entire application and dependencies together but can become very large, while thinner approaches package dependencies externally to reduce size and improve redeployment speeds for container-based applications.
Docker can be used as an everyday development tool. It allows building, shipping and running applications securely by using containers. Containers allow encapsulating applications from the host machine and provide resource isolation using features like cgroups and namespaces. The key Docker concepts include images, containers, volumes, and the Docker engine. Docker Compose can be used to define and run multi-container Docker applications using a YAML file.
DockerCon EU 2018 - Dockerfile Best PracticesTibor Vass
This document provides best practices for writing Dockerfiles. It begins with a refresher on images, Dockerfile build processes, and areas for improvement. Examples are then given of improving a sample Dockerfile by reducing layers, reusing official images, using multi-stage builds to reduce image sizes, and adding build caching and reproducibility. Benchmarks show the improved Dockerfile builds faster and produces smaller images. New Dockerfile features in Docker 18.09 like context mounts and application caching are also briefly discussed.
A 1 hour presentation of how GlassFish v3 Prelude provides support for Scripting / Dynamic Languages. Ruby/JRuby/Rails and Groovy/Grails are specifically described.
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.
Looking at how people, with current deployments, can start using docker with out having to replace anything. Also giving a migration path that allows testing the separate pieces and migrating over slowly without painting yourself into a corner. Also covering why you might want to do this and the problems it may help to solve.
This document provides instructions for getting started with Docker and Docker Compose. It explains how to install Docker and Docker Compose, basic Docker commands like running containers and viewing logs, mapping ports, and using Docker Compose to define and run multi-container applications.
Using docker to develop NAS applicationsTerry Chen
This document introduces using Docker to develop NAS applications. It begins with an overview of Docker and containers, then demonstrates how to build Docker images, run containers, and deploy NAS applications as Docker containers using Container Station. It also addresses some common questions about Docker including how to skip Container Station initialization, debug closed containers, backup container data, access NAS information from containers, and resources for learning Docker.
Securing Containers, One Patch at a Time - Michael Crosby, DockerDocker, Inc.
Responsible disclosure is a key ingredient of any solid security strategy. In this session, Docker maintainer Michael Crosby will explain the ins and outs of CVE-2016-9962: how it was discovered, how it could even happen in the first place, and how it was addressed. A vertiginous abseil at the boundaries of the kernel, in the fascinating land of system calls and randomized address space. You will think twice before leaking a file descriptor again.
This document discusses using Chef configuration management with Docker containers. It describes using Chef at both the build stage and runtime stage of containers. At build time, Chef can configure and install applications into an image. At runtime, Chef can further configure running containers based on environment variables. Combining Chef and Docker provides immutable infrastructure, faster deployments, and testable configurations.
Introduction to dockerfile, SF Peninsula Software Development Meetup @Guidewire dotCloud
- Dockerfiles define the components and configuration of Docker images and allow them to be built automatically.
- The FROM instruction sets the base image, RUN executes commands during the build, and EXPOSE defines exposed ports.
- Common best practices when writing Dockerfiles include adding metadata like MAINTAINER, using comments, and defining an ENTRYPOINT to configure what runs when containers start.
This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
Presentation I presented at Codemotion 2015 in Rome.
It's about how to build and share reproducible, portable development environments with Vagrant and Docker
An introduction to Docker and docker-compose. Starting from single docker run commands we discover docker file basics, docker-compose basics and finally we play around with scaling containers in docker-compose.
Continuous Delivery with Docker and Jenkins pipelineSlam Han
Docker is an open platform for developing, shipping, and running applications. It allows developers to package applications and dependencies into standardized units called containers. Docker provides benefits like speed, security, lightweight deployment, and simplifying DevOps workflows. Common Docker commands allow users to work with images, containers, networks and more to build and run applications in production using containers.
Democratizing Development - Scott GressDocker, Inc.
We all know the benefits of using Docker to standardize development and production environments. Using Electron to create a cross-platform desktop app that connects to both Docker and Treeline (the online IDE for Sails.js apps) we can further lower the barrier to entry for developers and open up the "black box" of development to non-technical stakeholders.
DCSF19 Tips and Tricks of the Docker Captains Docker, Inc.
Brandon Mitchell, BoxBoat
Docker Captain Brandon Mitchell will help you accelerate your adoption of Docker containers by delivering tips and tricks on getting the most out of Docker. Topics include managing disk usage, preventing subnet collisions, debugging container networking, understanding image layers, getting more value out of the default volume driver, and solving the UID/GID permission issues with volumes in a way that allows images to be portable from any developer laptop and to production.
- Docker allows for OS-level virtualization of applications into lightweight isolated containers. Docker Hub is used to store and distribute Docker images.
- Rancher provides tools for orchestrating Docker containers across multiple hosts. The Rancher Catalog allows deploying Dockerized applications in a standardized way using templates that prompt for configurable options.
- The document discusses using Docker and Rancher together to build, deploy, manage and scale containerized applications both on a single host and across multiple hosts for production use.
This document discusses how Docker can help humans manage applications by allowing developers to package applications into images and containers. It describes how Docker images are built using Dockerfiles and how containers run applications from these images. The presentation focuses on tools like Panamax that help developers deploy and manage multi-container applications on infrastructure like DigitalOcean droplets. It emphasizes integrating Docker and continuous deployment into a developer's workflow.
Docker All The Things - ASP.NET 4.x and Windows Server ContainersAnthony Chu
Docker is awesome and there's been a lot of excitement over .NET Core running in Linux containers. But why do older apps have to miss out on the fun? With Windows Server 2016 and Windows Server containers, there's finally a way to dockerize .NET 4.6 apps using the same Docker tools and commands as we're used to on Linux. In this intermediate level talk, I'll give an overview of Docker and Windows Server containers. Then I'll demonstrate different ways to run existing ASP.NET Web API, MVC, and even WebForms applications inside Docker containers.
Real World Lessons on the Pain Points of Node.JS ApplicationBen Hall
This document provides lessons learned from real world experiences with Node.js applications. It discusses the importance of upgrading to newer Node.js versions for security and features. It also emphasizes the importance of error handling, using promises for async flow control, and scaling applications using Docker containers. Debugging and monitoring Node.js applications for performance is also covered.
The document discusses different approaches to packaging Java applications including fat JARs, thin JARs, skinny JARs, and hollow JARs. It analyzes the packaging of sample "Hello World" applications using Spring Boot, WildFly Swarm, Eclipse Vert.x, and Dropwizard. Fat JARs package the entire application and dependencies together but can become very large, while thinner approaches package dependencies externally to reduce size and improve redeployment speeds for container-based applications.
Docker can be used as an everyday development tool. It allows building, shipping and running applications securely by using containers. Containers allow encapsulating applications from the host machine and provide resource isolation using features like cgroups and namespaces. The key Docker concepts include images, containers, volumes, and the Docker engine. Docker Compose can be used to define and run multi-container Docker applications using a YAML file.
DockerCon EU 2018 - Dockerfile Best PracticesTibor Vass
This document provides best practices for writing Dockerfiles. It begins with a refresher on images, Dockerfile build processes, and areas for improvement. Examples are then given of improving a sample Dockerfile by reducing layers, reusing official images, using multi-stage builds to reduce image sizes, and adding build caching and reproducibility. Benchmarks show the improved Dockerfile builds faster and produces smaller images. New Dockerfile features in Docker 18.09 like context mounts and application caching are also briefly discussed.
A 1 hour presentation of how GlassFish v3 Prelude provides support for Scripting / Dynamic Languages. Ruby/JRuby/Rails and Groovy/Grails are specifically described.
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.
Looking at how people, with current deployments, can start using docker with out having to replace anything. Also giving a migration path that allows testing the separate pieces and migrating over slowly without painting yourself into a corner. Also covering why you might want to do this and the problems it may help to solve.
This document provides instructions for getting started with Docker and Docker Compose. It explains how to install Docker and Docker Compose, basic Docker commands like running containers and viewing logs, mapping ports, and using Docker Compose to define and run multi-container applications.
Using docker to develop NAS applicationsTerry Chen
This document introduces using Docker to develop NAS applications. It begins with an overview of Docker and containers, then demonstrates how to build Docker images, run containers, and deploy NAS applications as Docker containers using Container Station. It also addresses some common questions about Docker including how to skip Container Station initialization, debug closed containers, backup container data, access NAS information from containers, and resources for learning Docker.
Securing Containers, One Patch at a Time - Michael Crosby, DockerDocker, Inc.
Responsible disclosure is a key ingredient of any solid security strategy. In this session, Docker maintainer Michael Crosby will explain the ins and outs of CVE-2016-9962: how it was discovered, how it could even happen in the first place, and how it was addressed. A vertiginous abseil at the boundaries of the kernel, in the fascinating land of system calls and randomized address space. You will think twice before leaking a file descriptor again.
This document discusses using Chef configuration management with Docker containers. It describes using Chef at both the build stage and runtime stage of containers. At build time, Chef can configure and install applications into an image. At runtime, Chef can further configure running containers based on environment variables. Combining Chef and Docker provides immutable infrastructure, faster deployments, and testable configurations.
Introduction to dockerfile, SF Peninsula Software Development Meetup @Guidewire dotCloud
- Dockerfiles define the components and configuration of Docker images and allow them to be built automatically.
- The FROM instruction sets the base image, RUN executes commands during the build, and EXPOSE defines exposed ports.
- Common best practices when writing Dockerfiles include adding metadata like MAINTAINER, using comments, and defining an ENTRYPOINT to configure what runs when containers start.
This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
Presentation I presented at Codemotion 2015 in Rome.
It's about how to build and share reproducible, portable development environments with Vagrant and Docker
An introduction to Docker and docker-compose. Starting from single docker run commands we discover docker file basics, docker-compose basics and finally we play around with scaling containers in docker-compose.
Continuous Delivery with Docker and Jenkins pipelineSlam Han
Docker is an open platform for developing, shipping, and running applications. It allows developers to package applications and dependencies into standardized units called containers. Docker provides benefits like speed, security, lightweight deployment, and simplifying DevOps workflows. Common Docker commands allow users to work with images, containers, networks and more to build and run applications in production using containers.
Running Docker in Development & Production (DevSum 2015)Ben Hall
This document provides an overview of Docker containers and how to use Docker for development and production environments. It discusses Docker concepts like images, containers, and Dockerfiles. It also demonstrates how to build images, run containers, link containers, manage ports, and use Docker Compose. The document shows how Docker can be used to develop applications using technologies like ASP.NET, Node.js, and Go. It also covers testing, deploying to production, and optimizing containers for production.
Creating an Oracle Database 18c Docker image discusses building a Docker image with Oracle Database 18c. The document covers Docker concepts like images, containers, and commands. It then provides steps to install Docker, pull an existing Oracle Database image, build a custom image from source, and run the Oracle Database within a Docker container.
This document provides an overview of Docker for web developers. It defines Docker as a platform for developing, shipping and running applications using container virtualization technology. It describes the main Docker products and tools. It provides examples of using Docker for various programming languages and frameworks like PHP, Java, Python, Node.js, Go, databases and content management systems like WordPress, Joomla and Drupal. The document also discusses Dockerfiles, Docker Compose, Docker commands and repositories.
Dockerizing Meteor - 6th Meteor Meetup SeoulJaigouk Kim
Docker is a tool that allows building and running machine images called containers. Jaigouk demonstrates how to easily dockerize a Meteor application by starting with separate Mongo and Meteor containers, and then orchestrating a clustered topology with services like Nginx, Fleet and Etcd. He provides tips for development including using docker-enter and coreos-gui-osx, and recommends solutions for persisting data like Jaigouk's fixed coreos-mongodb or using a data container. In summary, Docker simplifies deployment by allowing development and production to use the same container images, and dockerizing Meteor is easy following Jaigouk's examples.
Getting started with Docker sandboxes for MariaDBMariaDB plc
This document provides an overview of Docker sandboxes for MariaDB. It discusses Docker and how it performs operating system-level virtualization through containers. It then describes MariaDB's supported Docker images for its products like MariaDB Server, MaxScale, Columnstore, and X3 Platform. The document outlines the MariaDB Server sandbox and MariaDB Analytics sandbox, including prerequisites and how to run them. It provides a hands-on demonstration of pulling the code from GitHub and running the sandboxes locally using Docker Compose or Minikube.
V1. This document introduces Vagrant and Docker, tools for efficiently building and running virtual machines and containers. It discusses how Vagrant can be used to create standardized development environments and Docker allows building and sharing applications and their dependencies.
V2. The document then covers how to install, access, customize, and provision Vagrant virtual machines as well as how to build, run, network, and manage Docker containers and images.
V3. Advanced topics discussed include linking containers, using Docker Compose for orchestration, the Docker Hub registry, security considerations, and other Docker tools like Machine for provisioning remote hosts and Swarm for clustering.
Docker containers provide isolation at the system resource level using namespaces and control groups. This allows each container to run applications packaged with dependencies without conflict. Docker solves issues around dependency management and allows for fast iterative development. To use Docker, a container-enabled kernel is needed along with installing Docker on Windows or Linux. Images contain application code and dependencies and are obtained from Docker Hub or built locally. Docker Compose allows defining multi-container applications and their dependencies. Security with Docker includes capability dropping, namespaces, and profiles with AppArmor and SELinux to control access. Trusted registries and image scanning help ensure secure images.
At the Open Repositories 2019 Terry Brady and Pascal Becker gave a workshop about DSpace and Docker. They gave an introduction into Docker, an overview over the DSpace specific Docker images, and exercises that help to learn how to use DSpace with Docker.
Dockerizing stashboard - Docker meetup at TwiliodotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
The document discusses dockerizing Stashboard, an open-source status dashboard for APIs and software services. It provides instructions for downloading Docker and the necessary Stashboard Dockerfiles. The Data Dockerfile creates a volume container to store status data. The Stashboard Dockerfile installs Stashboard and its dependencies in an Ubuntu container. Finally, it explains how to build and run the dockerized Stashboard application using the data volume container to persist status updates.
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.
This document provides an overview of microservices and tools for developing microservices architectures. It discusses some of the benefits of moving from monolithic architectures to microservices, including improved scalability, fault isolation, and independent deployability. It then introduces Docker and Docker Compose as useful tools for building and testing microservices. A demo is shown of using Dockerfile to build an image and Docker Compose to define and run multiple services locally. The document concludes by discussing challenges of microservices and the need for tools like Kubernetes to manage complexity at scale.
This document discusses Docker, including:
1. Docker is a platform for running and managing Linux containers that provides operating-system-level virtualization without the overhead of traditional virtual machines.
2. Key Docker concepts include images (immutable templates for containers), containers (running instances of images that have mutable state), and layers (the building blocks of images).
3. Publishing Docker images to registries allows them to be shared and reused across different systems. Volumes and networking allow containers to share filesystems and communicate.
Docker is an open platform for developing, shipping, and running applications. It enables separating applications from infrastructure so software can be delivered quickly. Docker uses features of the Linux kernel like namespaces and cgroups to deliver functionality. Containers are more lightweight than virtual machines, using less disk space and starting faster, while still providing isolation. Docker uses images and repositories to package and distribute applications. The Dockerfile defines how to build images from a base image and run commands.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then covers setting up a multi-node Docker swarm across two virtual machines, deploying an application to the swarm, and accessing the clustered application. Moby Project is introduced as the new name for Docker's open source components to distinguish them from commercial Docker products. Tools like Kitematic, Docker's Universal Control Plane, and Panamax are also briefly mentioned.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Road construction is not as easy as it seems to be, it includes various steps and it starts with its designing and
structure including the traffic volume consideration. Then base layer is done by bulldozers and levelers and after
base surface coating has to be done. For giving road a smooth surface with flexibility, Asphalt concrete is used.
Asphalt requires an aggregate sub base material layer, and then a base layer to be put into first place. Asphalt road
construction is formulated to support the heavy traffic load and climatic conditions. It is 100% recyclable and
saving non renewable natural resources.
With the advancement of technology, Asphalt technology gives assurance about the good drainage system and with
skid resistance it can be used where safety is necessary such as outsidethe schools.
The largest use of Asphalt is for making asphalt concrete for road surfaces. It is widely used in airports around the
world due to the sturdiness and ability to be repaired quickly, it is widely used for runways dedicated to aircraft
landing and taking off. Asphalt is normally stored and transported at 150’C or 300’F temperature
Determination of Equivalent Circuit parameters and performance characteristic...pvpriya2
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
2. // NICE TO MEET YOU:
- HUDSON MENDES, 32
- ITALO-BRAZILIAN (BORN IN BRAZIL)
- HYBRID-CREATURE (JAVA AND .NET)
- BETWEEEN PYTHON AND RUBY? RUBY
- LOVE ANIME & _LOVE_ GUINNESS!
- BEEN A SOFTWARE ENGINEER SINCE 1999
3.
4. IF DEPLOYING SOFTWARE IS HARD, (…), THEN
DEVELOPERS WILL OFTEN BUILD EVERYTHING
INTO THE EXISTING APPLICATION IN ORDER TO
AVOID SUFFERING THE NEW DEPLOYMENT
PENALTY.
Karl Matthias, Docker: Up & Running
SPRING BOOT & DOCKER
6. AN ENGINEERING
PERSPECTIVE TO DOCKER
// TODO:
- overview on docker
- simple spring boot application (.jar)
- wrapped with Dockerfile, Gradle and Maven
- deployed to a repository, ran locally and ran remotely (ECS)
- in the build pipeline
- a glimpse of what matters from the docker ecosystem
7. AN ENGINEERING
PERSPECTIVE TO DOCKER
// TODO:
WHAT IS DOCKER? BUILD DOCKER IMAGE RUN DOCKER CONTAINER MAKING IT WORK FOR YOU
12. SPRING BOOT & DOCKER
OVERVIEW
Source: “Performance on Docker vs VMs” (by Ali Hussain, Flex7)
(https://www.slideshare.net/Flux7Labs/performance-of-docker-vs-vms)
14. SPRING BOOT & DOCKER
OVERVIEW
Must knows
‣ Conceptual evolution of LXC
‣ Not A VIRTUAL MACHINE
‣ Initial release: 2014
‣ Open API
‣ Now supports Windows
23. PRETTY BASIC .JAR, REST SPRING BOOT, LISTENING 8080 FROM SHELL
DOCKER IMAGE BUILT FROM GRADLE PLUGIN
DOCKER IMAGE BUILT FROM MAVEN PLUGIN
DOCKER IMAGE BUILT FROM DOCKERFILE
SPRING BOOT & DOCKER
DEMO, SIMPLEST JAR IN A DOCKER CONTAINER
24. SPRING BOOT & DOCKER
https://github.com/bmuschko/gradle-docker-plugin
gradle dockerPushImage
25. PRETTY BASIC .JAR, REST SPRING BOOT, LISTENING 8080 FROM SHELL
DOCKER IMAGE BUILT FROM GRADLE PLUGIN
DOCKER IMAGE BUILT FROM MAVEN PLUGIN
DOCKER IMAGE BUILT FROM DOCKERFILE
SPRING BOOT & DOCKER
DEMO, SIMPLEST JAR IN A DOCKER CONTAINER
27. PRETTY BASIC .JAR, REST SPRING BOOT, LISTENING 8080 FROM SHELL
DOCKER IMAGE BUILT FROM GRADLE PLUGIN
DOCKER IMAGE BUILT FROM MAVEN PLUGIN
DOCKER IMAGE BUILT FROM DOCKERFILE
SPRING BOOT & DOCKER
DEMO, SIMPLEST JAR IN A DOCKER CONTAINER
29. PRETTY BASIC .JAR, REST SPRING BOOT, LISTENING 8080 FROM SHELL
DOCKER IMAGE BUILT FROM GRADLE PLUGIN
DOCKER IMAGE BUILT FROM MAVEN PLUGIN
DOCKER IMAGE BUILT FROM DOCKERFILE
SPRING BOOT & DOCKER
DEMO, SIMPLEST JAR IN A DOCKER CONTAINER
30. SPRING BOOT & DOCKER
DEMO, SIMPLEST JAR IN A DOCKER CONTAINER
https://github.com
/hudsonmendes
/belfastjug-sample-2
/branches
31. SPRING BOOT & DOCKER
DEMO, SIMPLEST JAR IN A DOCKER CONTAINER
Base image
32. SPRING BOOT & DOCKER
DECIDING ON BASE IMAGE WHICH IMAGE?
RUNS OR
WILL EVER RUN
LINUX CONTAINERS?
JAVA7, JAVA8
OR JAVA9
RUNNING ON
WINDOWS SERVER?
DEBIAN
SPECIFIC?
DEBIAN
SPECIFIC?
openjdk:
7-jre
openjdk:
7-jre-alpine
openjdk:
9-jre
REQUIRES .MSI OR
WIN CORE ROLES?
openjdk:
*-nanoserver
openjdk:
*-windowservercore
openjdk:
8-jre
openjdk:
8-jre-alpine
YESYES
YES
YES
NO
NO
JAVA 8
JAVA 7
JAVA 9
NO
YESYES NO
33. AN ENGINEERING
PERSPECTIVE TO DOCKER
// TODO:
WHAT IS DOCKER? BUILD DOCKER IMAGE RUN DOCKER CONTAINER MAKING IT WORK FOR YOU
35. SPRING BOOT & DOCKER
DOCKER RUN, ECR, ECS
DOCKER IMAGE PUSHED, CHECKED
REMOVE LOCAL IMAGE
2 INSTANCES OF THE SAME CONTAINER IMAGE
ORCHESTRATION AND EPS
40. DOCKER IMAGE PUSHED, CHECKED
REMOVE LOCAL IMAGE
2 INSTANCES OF THE SAME CONTAINER IMAGE
ORCHESTRATION AND EPS
SPRING BOOT & DOCKER
DOCKER RUN, ECR, ECS
41. AN ENGINEERING
PERSPECTIVE TO DOCKER
// TODO:
WHAT IS DOCKER? BUILD DOCKER IMAGE RUN DOCKER CONTAINER MAKING IT WORK FOR YOU