Microservices with Docker
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This document provides an introduction to Docker. It begins by introducing the presenter and agenda. It then explains that containers are not virtual machines and discusses the differences in architecture and benefits. It covers the basic Docker workflow of building, shipping, and running containers. It discusses Docker concepts like images, containers, and registries. It demonstrates basic Docker commands. It shows how to define a Dockerfile and build an image. It discusses data persistence using volumes. It covers using Docker Compose to define and run multi-container applications and Docker Swarm for clustering. It provides recommendations for getting started with Docker at different levels.
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- Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more.
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Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
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LinkedIn: https://www.linkedin.com/company/edureka
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Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
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The technology changes required when implementing a microservice-based application are only one part of the equation. The business and organisation will also most likely have to fundamentally change. In an ideal world, this shouldn’t be a problem - what with the rise of agile, lean and DevOps - but this is not always the situation Daniel encounters in his consulting travels. He would like to share with you some stories of successful (and not so successful) strategies and tactics he has used over the past four years when introducing service-oriented architecture into organisations.
Join Daniel for a whistle-stop tour of the business and people challenges that he has experienced first hand when implementing a greenfield microservice project, and also breaking down a monolith. You will discover ‘divided companies’ vs ‘connected companies’, determine the actual impact of conway's law, briefly touch on the lean startup/enterprise mindset, dive into change management without the management double-speak, and look at the lightweight processes needed to ensure the technical success of a microservices implementation.
Beyond Microservices
This presentation shows the properties, advantages and challenges of microservices. It then discusses alternative architectures beyond microservices.
Building a High-Performance Reactive Microservices Architecture
For digital IT organizations, employing a microservices architecture built on reactive principles is a viabke option to ensure responsive, reliable and scalable systems or applications. The Vert.x toolkit can be a key component of reactive microservices success.
From Monolith to Microservices – and Beyond!
Software application development and delivery often involves multiple development, infrastructure and operations teams, each with their own preferred “tools of the trade” for building, testing and deploying code changes
For years, virtualization and cloud technologies have provided agile, on-demand infrastructure. The advent of Microservices promises even more agility– but what is required to take advantage of Microservices?
Join Electric Cloud CTO Anders Wallgren and Trace3 Principal Consultant - DevOps Marc Hornbeek as they discuss what is required to:
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- Coordinate integration, testing, monitoring, packaging, release approval and deployment of Microservices-based applications over elastic infrastructures
- Create a controlled and auditable delivery pipeline to support
Microservices-based application.
- Prepare for “future” applications, pipelines and patterns.
Microservice Architecture
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
vbw@ucsc.cmb.ac.lk
MicroService Architecture
Fred George describes his personal journey discovering microservice architecture over 15 years working on large software projects. He details how his projects evolved from monolithic 1 million line applications to small, independent services. This allowed for improved agility, with services being short-lived and able to deploy several times a day. George also discusses challenges faced and lessons learned around loosely coupling services, managing data across services, and establishing practices for a "living software" system with continuous deployment of services.
Introduction to Microservices
This document provides an introduction to microservices. It begins by outlining the challenges of monolithic architecture such as long build/release cycles and difficulty scaling. It then introduces microservices as a way to decompose monolithic applications into independently deployable services. Key benefits of microservices include improved agility, scalability, and innovation. The document discusses microservice design principles like communicating over APIs, using the right tools for each service, securing services, and being a good citizen in the ecosystem. It provides examples of how to implement a restaurant microservice using AWS services like API Gateway, Lambda, DynamoDB and containers.
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Microservices: Decomposing Applications for Deployability and Scalability (ja...
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Building a High-Performance Reactive Microservices Architecture
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Agenda:
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• How can I make use of Docker containers?
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▸ How can I create, or make use of, a Docker image?
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Speaker:
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Video Download
Video is available in .mp4 format from http://www.univa.com/resources/webinar-docker101.php.
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Docker-PPT.pdf for presentation and other
Consistency: With Docker, developers can create Dockerfiles to define the environment and dependencies required for their applications. This ensures consistent development, testing, and production environments, reducing deployment errors and streamlining workflows.
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Fake general image detection refers to the process of identifying whether an image has been manipulated or altered in some way to create a deceptive or false representation of reality. This type of detection is commonly used in fields such as forensics, journalism, and social media moderation to identify images that have been doctored or manipulated for malicious purposes, such as spreading fake news, propaganda, or misinformation. Fake general image detection techniques can include analyzing the image's metadata, examining inconsistencies in the lighting and shadows, identifying anomalies in the image's pixel patterns, and comparing the image to known authentic images or reference images. Some algorithms use machine learning techniques to analyze large datasets of both authentic and fake images to improve the accuracy of their detection.
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https://events.docker.com/events/docker-bday-5/
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Follow Adrian on Twitter: @adrianco
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Microservices with Docker
- 3. Microservices are an approach to developing a single application as a suite of small, connected, services (Martin Fowler) Microservices are loosely coupled service orientated architecture with bounded contexts (Adrian Cockcroft) Microservices are small automonous services that work well together (Sam Newman)
- 4. Break big application down into many small services http://martinfowler.com/microservices/
- 5. @crichardson Intimidates developers @cr Lo t s o f co o r d i n at i o n a n d co m m u n i cat i o n r equ i r ed Obstacle to scaling development I want to update the UI But the backend is not working yet! @crichardson Requires long-term commitment to a technology stack @ Overloads your IDE and container Sl o ws d o w n d ev el o pm en t
- 6. Componentization via Services Organized around Business Capabilities Products not Projects Smart endpoints and dumb pipes Decentralized Governance Decentralized Data Management Infrastructure Automation Design for failure Evolutionary Design http://martinfowler.com/microservices/
- 7. Use different stacks for different services Replace or refactor individual services easily Less coordination required when deploying deploy more often less risk more agility and speed Promotes many small teams instead of one big army Enables effective ownership of services
- 9. Easily try other technologies ... an d f ai l saf el y
- 12. “Automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere”
- 13. Faster delivery of your applications Deploying and scaling more easily Achieving higher density and running more workloads Portable deployment across machines Versioning Component reuse Shared libraries
- 15. Quick Demo….
- 17. Pull the image from Docker Repository docker pull sequenceiq/spark:1.4.0 Building the image docker build --rm -t sequenceiq/spark:1.4.0 . Running the image docker run -it -p 8088:8088 -p 8042:8042 -h sandbox sequenceiq/spark:1.4.0 bash
- 18. FROM java:7 MAINTAINER nvn_ravi@hotmail.com COPY . /usr/src/myapp WORKDIR /usr/src/myapp RUN javac Main.java CMD ["java", "Main"]
- 21. ProvisionContainers ManageContainer Dependencies Enable Discovery Handle Container Failure Scale Containers Amazon ECS
- 24. Describe a stack of containers in a simple YAML file Start the stack with a single command Compose connects containers together with links Also provides simple scaling and log aggregation
- 30. Master Minion pod pod labels labels kubelet cAdvisor proxy API Server Minion pod pod labels labels kubelet cAdvisor proxy scheduler replication controller kubectl distributed storage
Editor's Notes
- http://martinfowler.com/microservices/ http://juristr.com/blog/2015/01/notes-microservices-fowler-xconf/
- http://microservices.io/patterns/microservices.html Polyglot Persistence One of the core concepts of this example project is how polyglot persistence can be approached in practice. Microservices in the project use their own database while integrating with the data from other services through REST or a message bus
- Build: package your application in a container Ship: move that container from a machine to another Run: execute that container (i.e. your application) Any application: anything that runs on Linux Anywhere: local VM, cloud instance, bare metal..
- Docker: the open source container virtualization platform. Docker Hub: our Software-as-a-Service platform for sharing and managing Docker containers.
- Dockerfiles document how to construct the container and what to execute when it is running.
- http://highscalability.com/blog/2014/4/8/microservices-not-a-free-lunch.html
- It allows you to define your multi-container application with all of its dependencies in a single file, then spin your application up in a single command
- Docker Swarm is native clustering for Docker. It turns a pool of Docker hosts into a single, virtual host. Has support for etcd, consul, and zookeeper host discovery systems.