Using Amazon EC2 Container Service (ECS) to manage Docker containers in production with high availability and scalability. From the Docker Meetup in Leuven, Belgium on October 1st, 2015.
Docker is a groundbreaking technology that will heavily influence how we will write software in the years to come: let's then have a look at:
* where it comes from (Linux Containers)
* how it works
* how to dockerize simple apps to easily deploy them on production
* how you can use Docker in local environments to simplify your development workflow
Do you like Vagrant, auto-scaling or 12-factor apps? Then get ready to be mindblown.
This document provides an overview of Puppet, a system configuration management tool. Puppet uses a declarative language to define system resources and their desired state. It has a client-server architecture where the client collects facts, receives a configuration from the server, checks the current state, and runs required transactions to achieve the desired state. The Puppet server compiles configurations, acts as a file server and certificate authority, and handles reports. Puppet provides resource abstractions, templates, and modules to define reusable configurations. It aims to provide a more declarative, semantic, reproducible, and shareable approach to system administration compared to previous imperative methods.
The document discusses the various libraries that JasperReports relies on or integrates with. It provides brief 1-2 sentence descriptions of over 20 libraries including ANT, ANTLR, Batik, BCEL, Beanshell, Commons Collections, Digester, Log4j, POI, Spring, Xalan and Xerces. These libraries provide functionality like build automation, parsing, SVG processing, bytecode manipulation, collections, XML processing and logging that enhance the capabilities of JasperReports.
This document summarizes key aspects of the actor model framework Akka:
1. It allows concurrent processing using message passing between actors that can scale up using multiple threads on a single machine.
2. It can scale out by deploying actor instances across multiple remote machines.
3. Actors provide fault tolerance through hierarchical supervision where errors are handled by restarting or resuming actors from their parent.
The document provides details about how PhpSpec works under the hood and describes extension points that allow customizing PhpSpec's behavior. The key points are:
1. PhpSpec is a Symfony console application that initializes a service container and loads configuration from phpspec.yml.
2. The service container is used to register core services like IO, event dispatchers, generators, and commands.
3. Extensions can customize PhpSpec by registering additional services using common prefixes, replacing existing services, or adding new commands/formatters.
4. Examples describe object behavior in specifications, which are grouped into suites that are then located, loaded, and executed when running Php
This document discusses various techniques for building APIs with Rails including:
- Using Rails routing and controllers to define API endpoints and resources
- Content negotiation to support different response formats like JSON and XML
- Authentication methods like HTTP basic authentication and token-based authentication
- Versioning API resources to maintain backwards compatibility
- Testing APIs to validate status codes, response formats, authentication, and more
This document provides an overview of container orchestration with Amazon ECS and Blox. It begins with an introduction to Amazon ECS and describes key components like the cluster management engine and task scheduling. It then introduces Blox and describes how it builds on ECS to provide additional developer tools and abstractions for cluster management. The document includes diagrams of both platforms and steps for getting started with Blox locally and using features like deployments, monitoring, and scaling clusters.
Containers provide an abstraction layer above the operating system similar to how virtual machines abstract hardware. Containers allow applications to be portable and isolated, using fewer resources than virtual machines. Container orchestration platforms like Docker and Kubernetes are needed to manage containerized applications across multiple hosts for scalability and high availability.
Docker is a groundbreaking technology that will heavily influence how we will write software in the years to come: let's then have a look at:
* where it comes from (Linux Containers)
* how it works
* how to dockerize simple apps to easily deploy them on production
* how you can use Docker in local environments to simplify your development workflow
Do you like Vagrant, auto-scaling or 12-factor apps? Then get ready to be mindblown.
This document provides an overview of Puppet, a system configuration management tool. Puppet uses a declarative language to define system resources and their desired state. It has a client-server architecture where the client collects facts, receives a configuration from the server, checks the current state, and runs required transactions to achieve the desired state. The Puppet server compiles configurations, acts as a file server and certificate authority, and handles reports. Puppet provides resource abstractions, templates, and modules to define reusable configurations. It aims to provide a more declarative, semantic, reproducible, and shareable approach to system administration compared to previous imperative methods.
The document discusses the various libraries that JasperReports relies on or integrates with. It provides brief 1-2 sentence descriptions of over 20 libraries including ANT, ANTLR, Batik, BCEL, Beanshell, Commons Collections, Digester, Log4j, POI, Spring, Xalan and Xerces. These libraries provide functionality like build automation, parsing, SVG processing, bytecode manipulation, collections, XML processing and logging that enhance the capabilities of JasperReports.
This document summarizes key aspects of the actor model framework Akka:
1. It allows concurrent processing using message passing between actors that can scale up using multiple threads on a single machine.
2. It can scale out by deploying actor instances across multiple remote machines.
3. Actors provide fault tolerance through hierarchical supervision where errors are handled by restarting or resuming actors from their parent.
The document provides details about how PhpSpec works under the hood and describes extension points that allow customizing PhpSpec's behavior. The key points are:
1. PhpSpec is a Symfony console application that initializes a service container and loads configuration from phpspec.yml.
2. The service container is used to register core services like IO, event dispatchers, generators, and commands.
3. Extensions can customize PhpSpec by registering additional services using common prefixes, replacing existing services, or adding new commands/formatters.
4. Examples describe object behavior in specifications, which are grouped into suites that are then located, loaded, and executed when running Php
This document discusses various techniques for building APIs with Rails including:
- Using Rails routing and controllers to define API endpoints and resources
- Content negotiation to support different response formats like JSON and XML
- Authentication methods like HTTP basic authentication and token-based authentication
- Versioning API resources to maintain backwards compatibility
- Testing APIs to validate status codes, response formats, authentication, and more
This document provides an overview of container orchestration with Amazon ECS and Blox. It begins with an introduction to Amazon ECS and describes key components like the cluster management engine and task scheduling. It then introduces Blox and describes how it builds on ECS to provide additional developer tools and abstractions for cluster management. The document includes diagrams of both platforms and steps for getting started with Blox locally and using features like deployments, monitoring, and scaling clusters.
Containers provide an abstraction layer above the operating system similar to how virtual machines abstract hardware. Containers allow applications to be portable and isolated, using fewer resources than virtual machines. Container orchestration platforms like Docker and Kubernetes are needed to manage containerized applications across multiple hosts for scalability and high availability.
Windows Containers - Microsoft Ignite The TourEran Stiller
Docker containers are all the rage nowadays. But what about all of us Windows developers? In this session I'll show you what are Windows Containers and how to use them to easily package and deploy your Windows applications, services and IIS apps using standard and familiar Docker tools.
Amazon EC2 Container Service (ECS) is a highly scalable and high performance container management service that allows users to schedule container placement across their clusters. ECS handles container management at scale through its cluster management engine, agents that run on each container instance, and a scheduler that maintains the desired state specified by users. ECS integrates with other AWS services like Elastic Load Balancing, EBS volumes, and CloudWatch for monitoring.
Amazon EC2 Container Service: Manage Docker-Enabled Apps in EC2Amazon Web Services
Amazon EC2 Container Service is a new AWS service that makes it easy to run and manage Docker-enabled applications across a cluster of Amazon EC2 instances. EC2 Container Service lets you define, schedule, and stop sets of containers. You have access to the state of your resources, making it easy to confirm that tasks are running or view the utilization of EC2 instances in your cluster. This session will describe the benefits of containers, introduce the EC2 Container Service, and demonstrate how to use EC2 Container Service for your applications.
Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources. Docker is fast becoming a core component of these architectures, but going from a single or a small number of containers to a distributed application is not trivial. In this session we will talk about some of the core architectural principles underlying the Amazon EC2 Container (ECS) and how they are designed to help you scale your applications and run them in production. We will talk about how containers can be used as the foundation for new computing primitives and how these are being used by our customers for increased agility and productivity.
The document describes a presentation on getting started with Docker and Amazon ECS. It discusses how Realtor.com migrated their application deployment process from using AMIs to using containers with Amazon ECS. They initially used a "build/burn AMI" process, then migrated to AWS Elastic Beanstalk, and finally moved to using Amazon ECS directly by defining tasks with CloudFormation templates. This improved their deployment speed and ability to deploy multiple versions simultaneously.
.NET Day 2017 - ASP.NET Core mit Visual Studio und DockerMarc Müller
Docker erfreut sich stetiger Beliebtheit und ist mittlerweile auch im Windows Umfeld angekommen. Dieser Vortrag zeigt auf, wie Docker lokal für die Entwicklung von Asp.NET Core Anwendungen zusammen mit Visual Studio 2017 verwendet werden kann.
AWS January 2016 Webinar Series - Introduction to Docker on AWSAmazon Web Services
Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult.
In this webinar, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens, and we will give an overview of the architecture powering Amazon ECS. We will also demo how to define multi-container applications with Docker Compose and deploy and scale them seamlessly to a cluster with Amazon ECS.
Learning Objectives:
Understand the benefits and architecture of Amazon ECS
Learn how to deploy and scale Docker containers on Amazon ECS
Who Should Attend:
Developers
Running Microservices and Docker on AWS Elastic Beanstalk - August 2016 Month...Amazon Web Services
In this session, we introduce you to a solution for easily running a Docker-powered microservices architecture on AWS using Elastic Beanstalk. We will also cover the fundamentals of Elastic Beanstalk and how it benefits developers looking for a quick and scalable way to get their applications running on AWS with no infrastructure work required.
Building a microservices architecture using Docker can require a lot of work, from launching and operating the underlying infrastructure to installing and maintaining cluster management software. With AWS Elastic Beanstalk’s multicontainer support feature, many of these tasks are simplified and abstracted away so you can focus on your application code. AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker."
Learning Objectives:
• Learn the basics of AWS Elastic Beanstalk
• Understand how to use Elastic Beanstalk to run containerized applications
• Learn how to use Elastic Beanstalk to start architecting microservices-based applications
This is a basic workshop for Amazon ECS. In this workshop you will learn:
AWS computing services overview
Monolith and Microservices
What is Docker
How to dockerize your app in your local laptop
How to run your Docker app in Amazon ECS and ECR
How to use ecs-cli
Best Practices designing your Dockerfile
by Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
What Is A Docker Container? | Docker Container Tutorial For Beginners| Docker...Simplilearn
This presentation on Docker Container will help you understand what is Docker, the architecture of Docker, what is a Docker Container, how to create a Docker Container, benefits of Docker Container, basic commands of Containers and you will also see a demo on creating Docker Container. Docker is a very lightweight software container and containerization platform. Docker containers provide a way to run software in isolation. It is an open source platform that helps to package an application and its dependencies into a Docker container for the development and deployment of software and a Docker COntainer is a portable executable package which includes applications and their dependencies. With Docker Containers, applications can work efficiently in different computer environments.
Below DevOps tools are explained in this Docker Container presentation:
1. What is Docker?
2. The architecture of Docker?
3. What is a Docker Container?
4. How to create a Docker Container?
5. Benefits of Docker Containers
6. Basic commands of Containers
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session will familiarize you with the benefits of containers, introduce Amazon EC2 Container Service (ECS), and demonstrate how to use Amazon ECS for your applications.
"In recent years, Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources. Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult.
In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS, and we will walk through a number of patterns used by our customers to run their microservices platforms, to run batch jobs, and for deployments and continuous integration. We will also demonstrate how to define multi-container applications with Docker Compose and deploy and scale them seamlessly on a cluster with Amazon ECS."
The document provides an overview of running Docker containers on AWS using ECS. It discusses:
- Why containers are useful for building scalable microservices applications.
- How ECS handles cluster management, scheduling containers across a cluster, and integrates with other AWS services.
- Common workflows for using ECS, such as pushing images to ECR, defining tasks, running tasks/services, updating services, and monitoring with CloudWatch.
- Security considerations like IAM roles for containers and tasks.
- Examples of task placement strategies and a customer case study on using ECS at scale.
The document concludes by noting other AWS services that complement ECS and taking questions.
This document discusses containers and how they can be used to run applications in Microsoft Azure. It explains that containers package an application and its dependencies to run consistently across development, test, and production environments. Containers allow developers to package applications once and run them anywhere using the same tooling for both Linux and Windows. The document also outlines how containers can be orchestrated in Azure using services like Container Service, Service Fabric, Kubernetes, and Swarm.
Containers are an application-centric way to deliver scalable applications on infrastructure of choice. Containers package code and dependencies together, and run similarly to virtual machines but are more portable and resource-efficient. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications across clusters of hosts. Helm helps define, install, and upgrade complex Kubernetes applications using charts that package application code, dependencies, and configuration.
AWS re:Invent 2016: Getting Started with Docker on AWS (CMP209)Amazon Web Services
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users.
This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
Everyone is currently talking about Docker and Kubernetes. But what does that mean for me as an ASP.NET core developer? This session shows the basic concepts of Docker and Kubernetes and illumes the advantages of these technologies and platforms. We will build a fully automated build and release pipeline with Azure DevOps to support a modern DevOps process within the team.
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
Data analysis is being used to transform businesses, increase efficiency, and drive innovation. But organizations need to perform increasingly complex analysis on their data (streaming analytics, ad-hoc querying and predictive analytics) in order to get better insights and actionable business intelligence. The growing data volume, speed, and complexity of diverse data formats make legacy tools inadequate or difficult to use. The AWS Cloud has a comprehensive portfolio of analytics services to help you process data of any volume and automate how you put that data to work for your organization. In this session we’ll see how to put those services at work on structured, unstructured and real-time data.
Building Event-Driven Serverless ApplicationsDanilo Poccia
We built event-driven user interfaces for decades. What about bringing the same approach to mobile, web, and IoT backend applications? You have to understand how data flows and what is the propagation of changes, using reactive programming techniques. You can focus on the core functionalities to build and the relationships among the resources you use. Your application behaves similarly to a “spreadsheet”, where depending resources are updated automatically when something “happens”, and is decomposed into scalable microservices without having to manage the infrastructure. The resulting architecture is efficient and cost effective to run on AWS and managing availability, scalability and security becomes part of the implementation itself.
Windows Containers - Microsoft Ignite The TourEran Stiller
Docker containers are all the rage nowadays. But what about all of us Windows developers? In this session I'll show you what are Windows Containers and how to use them to easily package and deploy your Windows applications, services and IIS apps using standard and familiar Docker tools.
Amazon EC2 Container Service (ECS) is a highly scalable and high performance container management service that allows users to schedule container placement across their clusters. ECS handles container management at scale through its cluster management engine, agents that run on each container instance, and a scheduler that maintains the desired state specified by users. ECS integrates with other AWS services like Elastic Load Balancing, EBS volumes, and CloudWatch for monitoring.
Amazon EC2 Container Service: Manage Docker-Enabled Apps in EC2Amazon Web Services
Amazon EC2 Container Service is a new AWS service that makes it easy to run and manage Docker-enabled applications across a cluster of Amazon EC2 instances. EC2 Container Service lets you define, schedule, and stop sets of containers. You have access to the state of your resources, making it easy to confirm that tasks are running or view the utilization of EC2 instances in your cluster. This session will describe the benefits of containers, introduce the EC2 Container Service, and demonstrate how to use EC2 Container Service for your applications.
Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources. Docker is fast becoming a core component of these architectures, but going from a single or a small number of containers to a distributed application is not trivial. In this session we will talk about some of the core architectural principles underlying the Amazon EC2 Container (ECS) and how they are designed to help you scale your applications and run them in production. We will talk about how containers can be used as the foundation for new computing primitives and how these are being used by our customers for increased agility and productivity.
The document describes a presentation on getting started with Docker and Amazon ECS. It discusses how Realtor.com migrated their application deployment process from using AMIs to using containers with Amazon ECS. They initially used a "build/burn AMI" process, then migrated to AWS Elastic Beanstalk, and finally moved to using Amazon ECS directly by defining tasks with CloudFormation templates. This improved their deployment speed and ability to deploy multiple versions simultaneously.
.NET Day 2017 - ASP.NET Core mit Visual Studio und DockerMarc Müller
Docker erfreut sich stetiger Beliebtheit und ist mittlerweile auch im Windows Umfeld angekommen. Dieser Vortrag zeigt auf, wie Docker lokal für die Entwicklung von Asp.NET Core Anwendungen zusammen mit Visual Studio 2017 verwendet werden kann.
AWS January 2016 Webinar Series - Introduction to Docker on AWSAmazon Web Services
Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult.
In this webinar, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens, and we will give an overview of the architecture powering Amazon ECS. We will also demo how to define multi-container applications with Docker Compose and deploy and scale them seamlessly to a cluster with Amazon ECS.
Learning Objectives:
Understand the benefits and architecture of Amazon ECS
Learn how to deploy and scale Docker containers on Amazon ECS
Who Should Attend:
Developers
Running Microservices and Docker on AWS Elastic Beanstalk - August 2016 Month...Amazon Web Services
In this session, we introduce you to a solution for easily running a Docker-powered microservices architecture on AWS using Elastic Beanstalk. We will also cover the fundamentals of Elastic Beanstalk and how it benefits developers looking for a quick and scalable way to get their applications running on AWS with no infrastructure work required.
Building a microservices architecture using Docker can require a lot of work, from launching and operating the underlying infrastructure to installing and maintaining cluster management software. With AWS Elastic Beanstalk’s multicontainer support feature, many of these tasks are simplified and abstracted away so you can focus on your application code. AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker."
Learning Objectives:
• Learn the basics of AWS Elastic Beanstalk
• Understand how to use Elastic Beanstalk to run containerized applications
• Learn how to use Elastic Beanstalk to start architecting microservices-based applications
This is a basic workshop for Amazon ECS. In this workshop you will learn:
AWS computing services overview
Monolith and Microservices
What is Docker
How to dockerize your app in your local laptop
How to run your Docker app in Amazon ECS and ECR
How to use ecs-cli
Best Practices designing your Dockerfile
by Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
What Is A Docker Container? | Docker Container Tutorial For Beginners| Docker...Simplilearn
This presentation on Docker Container will help you understand what is Docker, the architecture of Docker, what is a Docker Container, how to create a Docker Container, benefits of Docker Container, basic commands of Containers and you will also see a demo on creating Docker Container. Docker is a very lightweight software container and containerization platform. Docker containers provide a way to run software in isolation. It is an open source platform that helps to package an application and its dependencies into a Docker container for the development and deployment of software and a Docker COntainer is a portable executable package which includes applications and their dependencies. With Docker Containers, applications can work efficiently in different computer environments.
Below DevOps tools are explained in this Docker Container presentation:
1. What is Docker?
2. The architecture of Docker?
3. What is a Docker Container?
4. How to create a Docker Container?
5. Benefits of Docker Containers
6. Basic commands of Containers
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session will familiarize you with the benefits of containers, introduce Amazon EC2 Container Service (ECS), and demonstrate how to use Amazon ECS for your applications.
"In recent years, Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources. Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult.
In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS, and we will walk through a number of patterns used by our customers to run their microservices platforms, to run batch jobs, and for deployments and continuous integration. We will also demonstrate how to define multi-container applications with Docker Compose and deploy and scale them seamlessly on a cluster with Amazon ECS."
The document provides an overview of running Docker containers on AWS using ECS. It discusses:
- Why containers are useful for building scalable microservices applications.
- How ECS handles cluster management, scheduling containers across a cluster, and integrates with other AWS services.
- Common workflows for using ECS, such as pushing images to ECR, defining tasks, running tasks/services, updating services, and monitoring with CloudWatch.
- Security considerations like IAM roles for containers and tasks.
- Examples of task placement strategies and a customer case study on using ECS at scale.
The document concludes by noting other AWS services that complement ECS and taking questions.
This document discusses containers and how they can be used to run applications in Microsoft Azure. It explains that containers package an application and its dependencies to run consistently across development, test, and production environments. Containers allow developers to package applications once and run them anywhere using the same tooling for both Linux and Windows. The document also outlines how containers can be orchestrated in Azure using services like Container Service, Service Fabric, Kubernetes, and Swarm.
Containers are an application-centric way to deliver scalable applications on infrastructure of choice. Containers package code and dependencies together, and run similarly to virtual machines but are more portable and resource-efficient. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications across clusters of hosts. Helm helps define, install, and upgrade complex Kubernetes applications using charts that package application code, dependencies, and configuration.
AWS re:Invent 2016: Getting Started with Docker on AWS (CMP209)Amazon Web Services
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users.
This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
Everyone is currently talking about Docker and Kubernetes. But what does that mean for me as an ASP.NET core developer? This session shows the basic concepts of Docker and Kubernetes and illumes the advantages of these technologies and platforms. We will build a fully automated build and release pipeline with Azure DevOps to support a modern DevOps process within the team.
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session familiarizes you with the benefits of containers, introduce Amazon EC2 Container Service, and demonstrates how to use Amazon ECS to run containerized applications at scale in production.
Data analysis is being used to transform businesses, increase efficiency, and drive innovation. But organizations need to perform increasingly complex analysis on their data (streaming analytics, ad-hoc querying and predictive analytics) in order to get better insights and actionable business intelligence. The growing data volume, speed, and complexity of diverse data formats make legacy tools inadequate or difficult to use. The AWS Cloud has a comprehensive portfolio of analytics services to help you process data of any volume and automate how you put that data to work for your organization. In this session we’ll see how to put those services at work on structured, unstructured and real-time data.
Building Event-Driven Serverless ApplicationsDanilo Poccia
We built event-driven user interfaces for decades. What about bringing the same approach to mobile, web, and IoT backend applications? You have to understand how data flows and what is the propagation of changes, using reactive programming techniques. You can focus on the core functionalities to build and the relationships among the resources you use. Your application behaves similarly to a “spreadsheet”, where depending resources are updated automatically when something “happens”, and is decomposed into scalable microservices without having to manage the infrastructure. The resulting architecture is efficient and cost effective to run on AWS and managing availability, scalability and security becomes part of the implementation itself.
Connecting the Unconnected: IoT Made SimpleDanilo Poccia
Connecting physical devices to the cloud can enhance the user experience. AWS IoT is a new managed service that enables Internet-connected things (sensors, actuators, devices, and applications) to easily and securely interact with each other and the cloud. In this session, we will discuss how constrained devices can send data to the cloud and receive commands back to the device. Devices can securely connect using MQTT, HTTP protocols and developers can leverage several features of AWS IoT such as the Rules Engine and Thing Shadows to quickly and easily build a real connected product. This session will take a practical approach to developing real-world IoT and mobile applications in which the back end is serverless and can scale from one to virtually unlimited users without any infrastructure or servers to manage.
We built event-driven user interfaces for decades. What about bringing the same approach to mobile, web, and IoT backend applications? You have to understand how data flows and what is the propagation of changes, using reactive programming techniques. You can focus on the core functionalities to build and the relationships among the resources you use. Your application behaves similarly to a “spreadsheet”, where depending resources are updated automatically when something “happens”, and is decomposed into scalable microservices without having to manage the infrastructure. The resulting architecture is efficient and cost effective to run on AWS and managing availability, scalability and security becomes part of the implementation itself.
The slides from my session at the AWS User Group Luxembourg meeting on December 16th, 2015. The session was mostly a live demo, so there is not much content in the slides :)
The document discusses event-driven serverless applications using AWS services like AWS Lambda, Amazon API Gateway, Amazon Cognito, and Amazon S3. It provides an example of building a media sharing application that handles user authentication, uploads/downloads media, and analytics using these serverless AWS services with event-driven logic. Serverless architectures allow developers to focus on their ideas without managing infrastructure.
From my session at DevTernity in Riga, December 1st 2015. Have you always wanted to add predictive capabilities to your application, but haven’t been able to find the time or the right technology to get started? Everybody wants to build smart apps, but only a few are Data Scientists. We had the same issue inside Amazon, so we created a Machine Learning engine that Developers can easily use. The same approach is now available in the AWS cloud. We demonstrate how to use Amazon Machine Learning (Amazon ML) to create machine learning models, deploy them to production, and obtain predictions in real-time. We then demonstrate how to build a complete smart application using Amazon ML, Amazon Kinesis, and AWS Lambda. We walk you through the process flow and architecture, demonstrate outcomes, and then dive into the implementation. In this session, you learn how to use Amazon ML as well as how to integrate Amazon ML into your applications to take advantage of predictive analysis in the cloud.
Masterclass Advanced Usage of the AWS CLIDanilo Poccia
This document provides an overview of an advanced masterclass on using the AWS CLI. It begins with an introduction and crash course on basic CLI usage. It then covers exploring key CLI functionality in more depth, including configuration, profiles, credential files and advanced output formats. The class shows how to create a new IAM user and profile programmatically. The goal is to help attendees broaden their knowledge of the AWS CLI beyond basics in around 45 minutes.
Slides from the Cloudyna event in Katowice, Poland on November 14th, 2015. In this session we will discuss how you can leverage the new cross-platform AWS Mobile Services to build a highly scalable and reliable mobile app, powered by the AWS Cloud. We will explore core functionality like authentication and authorization of users, data synchronization, backend infrastructure without the need to manage servers, understanding your user behavior, engaging your users and bringing your users back to your app. No matter if you are building the next great social app, or a front-office enterprise mobile app, this session will discuss best practices and reference architectures for building reliable and scalable mobile apps.
Slides from the Cloudyna event in Katowice, Poland on November 14th, 2015. Data analysis is being used to transform businesses, increase efficiency, and drive innovation. The AWS Cloud has a comprehensive portfolio of analytics services to help you process data of any volume and automate how you put that data to work for your organization. In this session we'll see how to put those services at work on structured, unstructured and real-time data.
Amazon Elastic File System (Amazon EFS)Danilo Poccia
Amazon Elastic File System (Amazon EFS) provides simple, scalable file storage for use with AWS services like EC2. It allows sharing of file systems across multiple EC2 instances and provides simple integration with existing tools. File systems can grow and shrink automatically as storage needs change. EFS uses NFS v4 for access and stores data redundantly across Availability Zones for high availability and durability. Security features include controlling access via security groups, user-level permissions, and IAM policies. Pricing is $0.30 per GB per month with no minimum commitments.
The document introduces AWS Mobile Hub, which allows developers to build, test, and monitor mobile apps. It provides a single integrated console where developers can add pre-built features like user sign-in, push notifications, data storage, and analytics to their apps. AWS Mobile Hub automatically provisions services like Cognito, SNS, S3, Lambda, and Mobile Analytics and generates starter code. This simplifies developing cloud-connected mobile apps on AWS.
The document discusses data analytics on AWS. It describes how AWS services like Amazon S3, DynamoDB, Redshift, EMR, and Kinesis can be used to generate, store, analyze and share data at scale. It provides examples of how companies are using these services for tasks like processing millions of records per second and adding thousands of new records daily. The document emphasizes that AWS allows users to remove constraints on data analytics by providing elastic, scalable infrastructure without upfront costs.
Amazon API Gateway and AWS Lambda: Better TogetherDanilo Poccia
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information. Together they help you build a server-less event-driven backend that is easy to manage and scale.
Amazon Aurora Let's Talk About PerformanceDanilo Poccia
Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It delivers up to five times the throughput of standard MySQL running on the same hardware. Amazon Aurora is designed to be compatible with MySQL 5.6, so that existing MySQL applications and tools can run without requiring modification.
Build a Server-less Event-driven Backend with AWS Lambda and Amazon API GatewayDanilo Poccia
The document discusses building a serverless, event-driven backend architecture using AWS Lambda and Amazon API Gateway. It describes how API Gateway can be used to define HTTP endpoints that trigger Lambda functions to execute business logic. This allows building scalable backend services without having to manage servers. The document provides an example media sharing application architecture built with this approach.
Infrastructure as Code: Manage your Architecture with GitDanilo Poccia
This document discusses managing infrastructure as code using tools like AWS CloudFormation and AWS Elastic Beanstalk. It explains how infrastructure as code allows treating infrastructure configurations as code that can be version controlled, tested, and treated similarly to application code. Examples are provided of using templates to define cloud resources and automating provisioning and deployment of infrastructure.
Infrastructure as Code: Manage your Architecture with GitDanilo Poccia
With the AWS Cloud you have an on-demand, programmable infrastructure that you can manage using tools and practices from software development. You can create resources when you need and dispose of them when you don’t. Using Amazon CloudFormation you can describe your architecture in text files. To change your infrastructure, you edit those files. Having application and infrastructure code in a single, robust, versioned repository like Git gives a lot of advantages. Using AWS Elastic Beanstalk you can link your Git branches to different infrastructure environments (e.g. test, production) and automate deployments. You can create test environments on-demand, even for a short time. Instead of continuously update your resources, you can recreate them quickly from scratch, simplifying lifecycle management and making deployments immutable. As a result, you have more time to focus on the unique features of your application.
Mobile app Development Services | Drona InfotechDrona Infotech
Drona Infotech is one of the Best Mobile App Development Company In Noida Maintenance and ongoing support. mobile app development Services can help you maintain and support your app after it has been launched. This includes fixing bugs, adding new features, and keeping your app up-to-date with the latest
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SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
12. {
"containerDefinitions": [
{
"name": "simple-app",
"image": "httpd:2.4",
"cpu": 10,
"memory": 300,
"portMappings": [
{
"hostPort": 80,
"containerPort": 80,
"protocol": "tcp"
}
],
"essential": true,
"mountPoints": [
{
"containerPath": "/usr/local/apache2/htdocs",
"sourceVolume": "my-vol"
}
]
},
Task Definition
10 CPU units (1024 is a full CPU)
500 MB of memory
Expose port 80 in container
to port 80 on host
Create and mount volumes
Essential to our task
13. {
"name": "busybox",
"image": "busybox",
"cpu": 10,
"memory": 200,
"volumesFrom": [
{
"sourceContainer": "simple-app"
}
],
"command": [
"/bin/sh -c "...""
],
"essential": false
}
],
"volumes": [
{
"name": “my-vol"
}
]
}
Task Definition
From Docker Hub
Mount volume from other container
Command to exec
Volumes
14. Internet
AZ #1 AZ #2 AZ #3
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ECS
Agent Communication Service API
Key / Value Store
Cluster Management Engine
15. Internet
Cluster
AZ #1 AZ #2 AZ #3
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ECS
Agent Communication Service API
Key / Value Store
Cluster Management Engine
Create Cluster
16. Internet
Cluster
AZ #1 AZ #2 AZ #3
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ECS
Agent Communication Service API
ECS AgentECS Agent ECS Agent ECS Agent ECS Agent ECS Agent
Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
Key / Value Store
Cluster Management Engine
Register Container
Instance(s)
17. Internet
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AZ #1 AZ #2 AZ #3
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Key / Value Store
Cluster Management Engine
Agent Communication Service API
ECS AgentECS Agent ECS Agent ECS Agent ECS Agent ECS Agent
Container Instance Container Instance Container Instance Container Instance Container Instance
Task
Definitions
Task
Definitions
Container Instance
Task
Definitions
Register Task
Definition(s)
18. Internet
Cluster
AZ #1 AZ #2 AZ #3
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Agent Communication Service API
ECS AgentECS Agent ECS Agent ECS Agent ECS Agent ECS Agent
Task
C
C C
VV
Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
Key / Value Store
Cluster Management Engine
Task
Definitions
Task
Definitions
Task
Definitions
Run Task “C”
19. Internet
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AZ #1 AZ #2 AZ #3
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Agent Communication Service API
ECS AgentECS Agent ECS Agent ECS Agent ECS Agent ECS Agent
Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
Key / Value Store
Cluster Management Engine
Task
Definitions
Task
Definitions
Task
Definitions
20. Internet
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Agent Communication Service API
ECS AgentECS Agent
Task
A
C
V
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ECS Agent
Task
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ECS Agent ECS Agent ECS Agent
Service A
Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
Key / Value Store
Cluster Management Engine
Task
Definitions
Task
Definitions
Task
Definitions
Create Service “A”
21. Internet
Cluster
AZ #1 AZ #2 AZ #3
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Agent Communication Service API
ECS AgentECS Agent
Task
A
C
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C C
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ECS Agent
Task
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ECS Agent ECS Agent
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Service A
Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
Key / Value Store
Cluster Management Engine
Task
Definitions
Task
Definitions
Task
Definitions
Update Service “A”
22. Internet
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AZ #1 AZ #2 AZ #3
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Agent Communication Service API
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Task
B
C C
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Task
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Service A Service B
Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
Key / Value Store
Cluster Management Engine
Task
Definitions
Task
Definitions
Task
Definitions
Create Service “B”
23. Internet
Cluster
AZ #1 AZ #2 AZ #3
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Agent Communication Service API
ECS Agent
Task
B
C C
V
ECS Agent
Task
A
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C C
V
Task
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Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
Key / Value Store
Cluster Management Engine
Task
Definitions
Task
Definitions
Task
Definitions
Run Task “C”
24. Internet
Cluster
AZ #1 AZ #2 AZ #3
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Agent Communication Service API
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Task
B
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Task
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Key / Value Store
Cluster Management Engine
Task
Definitions
Task
Definitions
Task
Definitions
25. Internet
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AZ #1 AZ #2 AZ #3
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Agent Communication Service API
User / Scheduler
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B
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Service A Service B
Container Instance Container Instance Container Instance Container Instance Container Instance Container Instance
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Cluster Management Engine
Task
Definitions
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Definitions
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Definitions
Custom Scheduler
26. Internet
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28. Designed for use with other AWS services
Elastic Load Balancing
Amazon Elastic Block Store
Amazon Virtual Private Cloud
AWS Identity and Access Management (IAM)
AWS CloudTrail
29. Elastic Load Balancing
Circuit breaker
"Jtecul" by own - Own work.
Licensed under CC BY-SA 3.0 via Wikimedia Commons
http://commons.wikimedia.org/wiki/File:Jtecul.jpg#/media/File:Jtecul.jpg
B
estPractice
40. You will soon be able to use
Docker Compose and Docker Swarm
to develop your application cluster on your desktop
and then scale into the AWS Cloud
C
om
ing
Soon