Containers have been a driving force in this industry for the last 5+ years. In the meanwhile we have seen the raise of other compute patterns, such as serverless. 2020 seems to be the year where the line between containers and serverless starts to blurry. We are seeing the raise of container serverless platforms (e.g. AWS Fargate) as well as the raise of higher order abstractions above container platforms (e.g. OpenFaaS, ECS CLI v2, …) that allows developers to focus on their code instead of managing containers. In this session we will discuss how the serverless benefits are starting to permeate into the container ecosystem and we will provide real life examples of how some AWS and OSS technologies can be used to abstract and remove part of the undifferentiated heavy lifting developers often need to take care of.
This document discusses AWS CloudFormation, which allows users to automate the deployment of AWS resources through templates. It describes how CloudFormation templates define resources using JSON, how templates can include parameters, mappings, and conditions. Common uses of CloudFormation include replicating environments, deploying to different regions, and disaster recovery. The presentation includes a demo of creating a VPC and LAMP stack using CloudFormation.
This document discusses Amazon ECS (Elastic Container Service), a fully managed container orchestration service. It provides an overview of ECS and its capabilities, requirements for modern cluster orchestration, and case studies from companies using ECS like Coursera and Meteor. It also includes links to documentation, GitHub repos, and videos demonstrating ECS and its scalability.
The document summarizes Julien Simon's presentation at Docker Paris #28 about Amazon EC2 Container Service (ECS). It highlights that ECS now supports Docker 1.9, is available in new regions, and includes new features like CloudWatch metrics and EC2 Container Registry (ECR) for storing and managing Docker images in AWS. It also provides links to case studies and a quick demo of using ECR to build, tag, push, and delete Docker images.
AWS Community Day - Andrew May - Running Containers in AWS AWS Chicago
This document discusses various services available in AWS for running containers, including:
- Elastic Container Registry (ECR) for storing container images in AWS.
- Elastic Container Service (ECS) and Fargate for orchestrating containers on EC2 instances or without managing infrastructure.
- Elastic Kubernetes Service (EKS) for managing Kubernetes clusters in AWS.
- CloudMap for service discovery of containers and other resources.
- AppMesh for managing traffic between containerized microservices through an application-level service mesh.
Using Amazon CloudWatch Events, AWS Lambda and Spark Streaming to Process EC...Julien SIMON
This document discusses using Amazon CloudWatch Events, AWS Lambda, and Spark Streaming to process EC2 instance events. Specifically, it describes setting up a workflow where EC2 instance launch and termination events are sent to a Lambda function via CloudWatch rules. The Lambda function then writes the event data to a Kinesis Data Firehose delivery stream, which stores the data in an S3 bucket. Finally, the data in S3 is processed using Spark Streaming to analyze and act on the EC2 events.
Docker clusters on AWS with Amazon ECS and KubernetesJulien SIMON
This document summarizes and compares Docker container management on AWS using Amazon ECS and Kubernetes. It provides an overview of ECS and ECR services, new features, customer case studies including Coursera and Segment, and resources for learning more. It also introduces Kubernetes as an open source container orchestrator, describes its architecture including pods, labels, replica sets, deployments and services. KOPS is presented as a tool for deploying and managing Kubernetes clusters on AWS. The Cloud Native Computing Foundation is discussed along with AWS' involvement to promote cloud native technologies.
Deploying a simple Rails application with AWS Elastic BeanstalkJulien SIMON
This document discusses deploying a simple Ruby on Rails application to AWS Elastic Beanstalk. It describes using CodeCommit for source control, creating development and production environments, configuring the production environment to use PostgreSQL on RDS, and terminating the environments. Key steps include initializing an EB application, creating development and production environments with different configurations, committing code changes, and redeploying to deploy updates.
This document provides information about using the AWS Command Line Interface (CLI). It begins with an overview of the AWS CLI and then provides sections on getting started, common commands, and examples. Key points covered include:
- The AWS CLI allows managing multiple AWS services from the command line and automating tasks through scripts.
- Common services supported include S3, EC2, IAM, CloudTrail.
- Setup involves installing the CLI, configuring credentials and a default region, and optionally creating profiles for different accounts.
- Examples demonstrate listing S3 buckets, describing EC2 instances, managing IAM users and groups, and using CloudTrail for auditing.
- Additional chapters provide details on
Explain how to build and run applications and services without having to manage infrastructure. In this slides, we show how you can build web applications without server and in a faster and agile way. We introduce how you can use AWS Lambda, API Gateway, Cognito and DynamoDB to implement a 3-Tier serverless architectural patterns.
The document summarizes Julien Simon's presentation at Docker Paris #29, where he discussed Amazon Web Services (AWS) sponsorship of the event and highlighted various AWS services like Amazon Elastic Container Service (ECS) for deploying Docker containers, along with case studies and resources like a webinar, blog posts, and documentation. Contact information is also provided for the AWS user groups in France.
A real-life account of moving 100% to a public cloudJulien SIMON
This document summarizes Viadeo's experience moving their entire infrastructure to AWS. It describes their motivation for moving to the cloud to focus on their product instead of managing hardware. It outlines their step-by-step process, including automating infrastructure with CloudFormation, baking AMIs, and continuous integration/delivery. It discusses lessons learned around networking, databases, and involving stakeholders in the transition. Currently, their staging and production environments run in AWS across multiple regions, with future plans to migrate more services.
Running Docker clusters on AWS (June 2016)Julien SIMON
The document discusses running Docker clusters on AWS using Amazon ECS. It provides an overview of ECS and related services like ECR and EFS. It also presents case studies of companies like Coursera, Remind, Hailo and Segment that use ECS to run Docker containers. The document demonstrates ECS architectures using fixed ports and an ELB, service discovery with DNS, and Weave for service registration. It also shows demos of RancherOS on ECS and a microservices architecture using Registrator, Consul and Fabio for service discovery.
This talk give you an overview of the new AWS Managed Kubernetes Service. Why do we want to use an managed service and most importend is this a good idea with EKS.
This document discusses Viadeo's plans to move its entire infrastructure to AWS. It provides background on Viadeo's current infrastructure and use of AWS services. Key reasons for fully migrating to AWS include improving agility, optimizing costs by avoiding hardware refreshes, implementing stronger disaster recovery, and efficiently handling unpredictable workloads. The migration will be gradual rather than a "big bang." Challenges include some initial performance/cost trade-offs and cleaning up technical debt. Automation, scalability, and safety will be top objectives.
This document outlines the cloud deployment architecture for White Rabbit Game's AWS environment. It includes three zones - production, testing, and development - each with EC2 instances and RDS databases in a virtual private cloud. The production setup uses multi-AZ RDS instances for high availability, while testing and development use smaller standard RDS instances. Security and monitoring is managed through AWS services like CloudWatch and VPC, while code integration uses S3 for snapshots and AMIs.
1) The document provides an overview of AWS IoT including devices and SDKs, the MQTT protocol, creating and securing things, routing messages to AWS services, and debugging applications.
2) It discusses SDKs for connecting devices, the MQTT protocol for communication, and how to create things, assign certificates and policies, and connect devices like an Arduino.
3) The document also covers how to define rules to route messages between IoT and AWS services like DynamoDB, and how to enable CloudWatch Logs for debugging IoT applications.
This document provides an overview of Amazon Elastic Kubernetes Service (EKS) and the eksctl tool for managing EKS clusters. It discusses how EKS provides a native Kubernetes experience with security and reliability as top priorities. It reviews EKS features and launches from 2018-2019. It then describes what eksctl is and how it can be used to easily create, delete, scale and manage EKS clusters and node groups through CLI commands or declarative config files. Finally, it outlines eksctl's roadmap including initiatives around GitOps workflows and declarative cluster configuration.
This document summarizes a presentation on clustering Docker containers on AWS using Amazon ECS and ECR. It provides an overview of the requirements for modern cluster orchestration and introduces Amazon ECS and ECR. It also includes case studies from companies like Coursera and Meteor that used ECS to focus on development rather than managing clusters. The presentation concludes with demonstrations of creating and scaling an ECS cluster, running a sample app, and load balancing microservices across random ports.
AWS Elastic Beanstalk is a service that allows developers to easily deploy and manage applications in the AWS cloud. It removes the need for developers to worry about setting up infrastructure by automatically handling tasks like load balancing, auto-scaling, and application deployment. Elastic Beanstalk supports many programming languages and frameworks out of the box and allows full control over the underlying EC2 instances and other AWS resources. It aims to help startups save time and money by reducing the infrastructure management overhead.
ECS in action provides an overview of using Amazon ECS for container deployment and management. Key features of ECS include a good web console, auto recovery of failed containers, and rolling upgrades. With ECS, containers are deployed across a cluster of Amazon EC2 instances with ECS agents that interface with the Docker daemon. The persistence layer is kept outside of containers for easier management. While ECS met their needs, the author notes some requested features like global services and improved logging/monitoring integration.
"Shipping logs to Splunk from a container in AWS howto.
Advantages of running containers in AWS Fargate" by Oleksii Makieiev, Senior systems engineer EPAM Ukraine
Amazon Web Services EC2 Container Service (ECS)Mayank Patel
Amazon EC2 Container Service (ECS) allows users to run Docker containers on a managed cluster of EC2 instances. It provides core container orchestration capabilities including launching and stopping containers, scaling clusters, and load balancing services. Key components include clusters (logical groups of EC2 instances), tasks (units of work), services (desired number of tasks), and container instances (EC2 instances running containers). Users can store and manage Docker images in Amazon EC2 Container Registry (ECR) and deploy applications to ECS using task definitions, services, and the ECS command line tools or APIs.
Docker and AWS have been working together to improve the Docker experience you already know and love. Deploying from Docker straight to AWS with your existing workflow has never been easier. Developers can use Docker Compose and Docker Desktop to deploy applications on Amazon ECS on AWS Fargate. This new functionality streamlines the process of deploying and managing containers in AWS from a local development environment running Docker. Join us for a hands-on walk through of how you can get started today.
Docker clusters on AWS with Amazon ECS and KubernetesJulien SIMON
This document summarizes and compares Docker container management on AWS using Amazon ECS and Kubernetes. It provides an overview of ECS and ECR services, new features, customer case studies including Coursera and Segment, and resources for learning more. It also introduces Kubernetes as an open source container orchestrator, describes its architecture including pods, labels, replica sets, deployments and services. KOPS is presented as a tool for deploying and managing Kubernetes clusters on AWS. The Cloud Native Computing Foundation is discussed along with AWS' involvement to promote cloud native technologies.
Deploying a simple Rails application with AWS Elastic BeanstalkJulien SIMON
This document discusses deploying a simple Ruby on Rails application to AWS Elastic Beanstalk. It describes using CodeCommit for source control, creating development and production environments, configuring the production environment to use PostgreSQL on RDS, and terminating the environments. Key steps include initializing an EB application, creating development and production environments with different configurations, committing code changes, and redeploying to deploy updates.
This document provides information about using the AWS Command Line Interface (CLI). It begins with an overview of the AWS CLI and then provides sections on getting started, common commands, and examples. Key points covered include:
- The AWS CLI allows managing multiple AWS services from the command line and automating tasks through scripts.
- Common services supported include S3, EC2, IAM, CloudTrail.
- Setup involves installing the CLI, configuring credentials and a default region, and optionally creating profiles for different accounts.
- Examples demonstrate listing S3 buckets, describing EC2 instances, managing IAM users and groups, and using CloudTrail for auditing.
- Additional chapters provide details on
Explain how to build and run applications and services without having to manage infrastructure. In this slides, we show how you can build web applications without server and in a faster and agile way. We introduce how you can use AWS Lambda, API Gateway, Cognito and DynamoDB to implement a 3-Tier serverless architectural patterns.
The document summarizes Julien Simon's presentation at Docker Paris #29, where he discussed Amazon Web Services (AWS) sponsorship of the event and highlighted various AWS services like Amazon Elastic Container Service (ECS) for deploying Docker containers, along with case studies and resources like a webinar, blog posts, and documentation. Contact information is also provided for the AWS user groups in France.
A real-life account of moving 100% to a public cloudJulien SIMON
This document summarizes Viadeo's experience moving their entire infrastructure to AWS. It describes their motivation for moving to the cloud to focus on their product instead of managing hardware. It outlines their step-by-step process, including automating infrastructure with CloudFormation, baking AMIs, and continuous integration/delivery. It discusses lessons learned around networking, databases, and involving stakeholders in the transition. Currently, their staging and production environments run in AWS across multiple regions, with future plans to migrate more services.
Running Docker clusters on AWS (June 2016)Julien SIMON
The document discusses running Docker clusters on AWS using Amazon ECS. It provides an overview of ECS and related services like ECR and EFS. It also presents case studies of companies like Coursera, Remind, Hailo and Segment that use ECS to run Docker containers. The document demonstrates ECS architectures using fixed ports and an ELB, service discovery with DNS, and Weave for service registration. It also shows demos of RancherOS on ECS and a microservices architecture using Registrator, Consul and Fabio for service discovery.
This talk give you an overview of the new AWS Managed Kubernetes Service. Why do we want to use an managed service and most importend is this a good idea with EKS.
This document discusses Viadeo's plans to move its entire infrastructure to AWS. It provides background on Viadeo's current infrastructure and use of AWS services. Key reasons for fully migrating to AWS include improving agility, optimizing costs by avoiding hardware refreshes, implementing stronger disaster recovery, and efficiently handling unpredictable workloads. The migration will be gradual rather than a "big bang." Challenges include some initial performance/cost trade-offs and cleaning up technical debt. Automation, scalability, and safety will be top objectives.
This document outlines the cloud deployment architecture for White Rabbit Game's AWS environment. It includes three zones - production, testing, and development - each with EC2 instances and RDS databases in a virtual private cloud. The production setup uses multi-AZ RDS instances for high availability, while testing and development use smaller standard RDS instances. Security and monitoring is managed through AWS services like CloudWatch and VPC, while code integration uses S3 for snapshots and AMIs.
1) The document provides an overview of AWS IoT including devices and SDKs, the MQTT protocol, creating and securing things, routing messages to AWS services, and debugging applications.
2) It discusses SDKs for connecting devices, the MQTT protocol for communication, and how to create things, assign certificates and policies, and connect devices like an Arduino.
3) The document also covers how to define rules to route messages between IoT and AWS services like DynamoDB, and how to enable CloudWatch Logs for debugging IoT applications.
This document provides an overview of Amazon Elastic Kubernetes Service (EKS) and the eksctl tool for managing EKS clusters. It discusses how EKS provides a native Kubernetes experience with security and reliability as top priorities. It reviews EKS features and launches from 2018-2019. It then describes what eksctl is and how it can be used to easily create, delete, scale and manage EKS clusters and node groups through CLI commands or declarative config files. Finally, it outlines eksctl's roadmap including initiatives around GitOps workflows and declarative cluster configuration.
This document summarizes a presentation on clustering Docker containers on AWS using Amazon ECS and ECR. It provides an overview of the requirements for modern cluster orchestration and introduces Amazon ECS and ECR. It also includes case studies from companies like Coursera and Meteor that used ECS to focus on development rather than managing clusters. The presentation concludes with demonstrations of creating and scaling an ECS cluster, running a sample app, and load balancing microservices across random ports.
AWS Elastic Beanstalk is a service that allows developers to easily deploy and manage applications in the AWS cloud. It removes the need for developers to worry about setting up infrastructure by automatically handling tasks like load balancing, auto-scaling, and application deployment. Elastic Beanstalk supports many programming languages and frameworks out of the box and allows full control over the underlying EC2 instances and other AWS resources. It aims to help startups save time and money by reducing the infrastructure management overhead.
ECS in action provides an overview of using Amazon ECS for container deployment and management. Key features of ECS include a good web console, auto recovery of failed containers, and rolling upgrades. With ECS, containers are deployed across a cluster of Amazon EC2 instances with ECS agents that interface with the Docker daemon. The persistence layer is kept outside of containers for easier management. While ECS met their needs, the author notes some requested features like global services and improved logging/monitoring integration.
"Shipping logs to Splunk from a container in AWS howto.
Advantages of running containers in AWS Fargate" by Oleksii Makieiev, Senior systems engineer EPAM Ukraine
Amazon Web Services EC2 Container Service (ECS)Mayank Patel
Amazon EC2 Container Service (ECS) allows users to run Docker containers on a managed cluster of EC2 instances. It provides core container orchestration capabilities including launching and stopping containers, scaling clusters, and load balancing services. Key components include clusters (logical groups of EC2 instances), tasks (units of work), services (desired number of tasks), and container instances (EC2 instances running containers). Users can store and manage Docker images in Amazon EC2 Container Registry (ECR) and deploy applications to ECS using task definitions, services, and the ECS command line tools or APIs.
Docker and AWS have been working together to improve the Docker experience you already know and love. Deploying from Docker straight to AWS with your existing workflow has never been easier. Developers can use Docker Compose and Docker Desktop to deploy applications on Amazon ECS on AWS Fargate. This new functionality streamlines the process of deploying and managing containers in AWS from a local development environment running Docker. Join us for a hands-on walk through of how you can get started today.
This document provides an overview of running containers on AWS, including services like ECS, EKS, Fargate, Elastic Beanstalk, ECR, and CloudMap. It discusses the benefits and usage of each service, how they integrate with Docker and Kubernetes, and compares options like ECS on EC2 versus ECS on Fargate. Key points covered include task definitions and scheduling in ECS, cluster management with EKS, multi-container support in Elastic Beanstalk, and service discovery with CloudMap.
The document discusses Docker in practice for developers, including using Docker for development environments, CI/CD build environments, and production deployments. It covers what Docker is, its history, images, containers, registries, and orchestration tools. Docker can be used to package applications and dependencies, and services like Docker Swarm, ECS, and Kubernetes can distribute containers across nodes for high availability and scaling. Kubernetes is more complex than Docker Swarm but has a longer stability record when configured correctly.
This document provides an overview of Amazon Elastic Container Service (Amazon ECS). ECS is a fully managed container orchestration service that allows users to run and scale containerized applications. It supports Fargate, which provides serverless compute for containers without needing to provision or manage servers. The document compares ECS concepts like clusters, tasks, and services to similar concepts in Kubernetes. It then walks through creating a sample ECS task definition, service, and load balancer. It discusses ECS networking options and differences between using EC2 instances versus Fargate. In the end, it notes that ECS can simplify modern application patterns and Fargate provides flexibility, but there may be less documentation and open source tools compared to alternatives
Serverless and mixed container orchestration and request routing on AWSGlobalLogic Ukraine
This webinar by Bohdan Yurov (Senior Solution Architect, Consultant, GlobalLogic, Ukraine, Kharkiv) was delivered at GlobalLogic Ukraine On Air Webinar on June 19, 2020.
Effective container orchestration requires good balance between infrastructure cost and operations effort. New AWS features can potentially provide us with better flexibility in container orchestration topology and balance EC2/serverless. Bohdan shared his experience and demo overview of serverless and mixed container orchestration and request routing on AWS using ECS & EKS on FarGate & EC2.
More details and presentation: https://www.globallogic.com/ua/about/events/webinar-serverless-and-mixed-container-orchestration/
Using Containers for Building and Testing: Docker, Kubernetes and Mesos. FOSD...Carlos Sanchez
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
The Jenkins platform is an example of dynamically scaling by using several Docker cluster and orchestration platforms, using containers to run build agents and jobs, and also isolate job execution.
This talk will cover these main container clusters, outlining the pros and cons, the current state of the art of the technologies and Jenkins support.
The presentation will allow a better understanding of using Docker in the main Docker cluster/orchestration platforms out there (Docker Swarm, Apache Mesos, Kubernetes), sharing my experience and helping people decide which one to use, going through Jenkins examples and current support.
CI/CD with Kubernetes, Helm & Wercker (#madScalability)Diacode
This document discusses CI/CD pipelines for Kubernetes using Helm and Wercker. It provides an overview of Kubernetes concepts like nodes, clusters, pods and deployments. It then describes how the company Gudog uses Kubernetes, Helm and Wercker for continuous integration and deployment. Gudog's applications are packaged using Helm charts and deployed to Google Kubernetes Engine. Wercker is used to define CI/CD workflows that build, test and deploy the applications using Helm. The last pipeline deploys to their staging environment with a single click deploying to production.
A 60-minute tour of AWS Compute (November 2016)Julien SIMON
This document summarizes a 60-minute tour of AWS compute services, including Amazon EC2, Elastic Beanstalk, EC2 Container Service, and AWS Lambda. It provides an overview of each service, including its core capabilities and use cases. Examples and demos are shown for Elastic Beanstalk, EC2 Container Service, and AWS Lambda. Additional resources are referenced for going deeper with ECS and Lambda.
Kubernetes Day 2017 - Build, Ship and Run Your APP, Production !!smalltown
This document summarizes a talk about building, shipping, and running applications in production using containers on AWS. It discusses migrating an existing service from an on-premise data center to AWS, refactoring the application into microservices and containerizing it using Docker. It then covers setting up a Kubernetes cluster on CoreOS to orchestrate the containers across AWS, addressing challenges like application state, updates and monitoring. Terraform is presented as a way to define infrastructure as code and provision AWS resources. Logging, metrics collection and monitoring the Kubernetes cluster are also discussed.
AWS reinvent 2019 recap - Riyadh - Containers and Serverless - Paul MaddoxAWS Riyadh User Group
This document provides an overview and agenda for an AWS storage, compute, containers, serverless, and management tools presentation. It includes summaries of several upcoming AWS services and features related to EBS, S3, EC2, EKS, Fargate, Lambda, and AWS Cost Optimizer. The speaker is introduced as Paul Maddox, Principal Architect at AWS, with a background in development, SRE, and systems architecture.
Session from TechDays looking at hybrid Docker swarms - mixing Linux and Windows servers in a single cluster, to support mixed Windows and Linux container workloads.
Building a Kubernetes App with Amazon EKSDevOps.com
Interested in learning how to set up a Kubernetes cluster and use automation to test and deploy an app?
During this presentation, Laura Frank will take a deep dive into CI/CD best practices with Kubernetes and Amazon EKS. You will be introduced to AmazonEKS, Amazon’s Kubernetes service and CloudBees CodeShip, a flexible continuous integration (CI)/continuous delivery(CD) tool that runs your builds in the cloud. Designed with developers in mind, both EKS and CodeShip when used together reduce the complexity of running an app with Kubernetes.
Attend this webinar to learn:
- An overview of Amazon EKS
- How to set up your own CI/CD pipeline
- How to leverage CI/CD best practices with Kubernetes
Interested in learning how to set up a Kubernetes cluster and use automation to test and deploy an app?
During this presentation, Laura Frank will take a deep dive into CI/CD best practices with Kubernetes and Amazon EKS. You will be introduced to AmazonEKS, Amazon’s Kubernetes service and CloudBees CodeShip, a flexible continuous integration (CI)/continuous delivery(CD) tool that runs your builds in the cloud. Designed with developers in mind, both EKS and CodeShip when used together reduce the complexity of running an app with Kubernetes.
Attend this webinar to learn:
- An overview of Amazon EKS
- How to set up your own CI/CD pipeline
- How to leverage CI/CD best practices with Kubernetes
Originally created for the session titled "Securing Containerized Workloads on ECS" @ the August Monthly Meetup of AWS User Group - Colombo [31/08/2023]
Deliver Docker Containers Continuously on AWS - QCon 2017Philipp Garbe
With Docker it became easy to start applications locally without installing any dependencies. Even running a local cluster is not a big thing anymore.
AWS on the other side offers with ECS a managed container service that starts to schedule containers based on resource needs, isolation policies, and availability requirements.
Sounds good, but is it really that easy? In this talk, you'll get an overview of ECS and all other services that are needed to run your containers in production. Philipp shows how an ECS cluster and your containerized applications can automatically be deployed and scaled. He also shares his experiences and discusses what features are still missing.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
The document discusses Kubernetes being used as a control plane rather than a complete data and control plane. It suggests using Kubernetes for orchestration and control while offloading the actual data and infrastructure services to other cloud services like Amazon ECS, RDS, etc. This allows separating the infrastructure code from the Kubernetes configuration and simplifies management. It demonstrates using ECS along with ACK controllers to integrate AWS services with Kubernetes. In the end, it characterizes Kubernetes as a container orchestrator that can act as a proxy to cloud services rather than replacing them.
The document discusses WebAssembly (WASM) and its potential uses beyond browsers. It provides an overview of WASM, including how it produces portable binary files and its performance benefits. It also describes the WebAssembly System Interface (WASI) which enables running WASM modules outside browsers. The document explores where WASM is being used, such as with Docker, and how it could fit into existing compute architectures like containers and virtual machines. It presents an experiment running WASM modules on different cloud services to handle HTTP requests.
IDI 2022: Making sense of the '17 ways to run containers on AWS'Massimo Ferre'
The document discusses different strategies for running containers on AWS. It introduces various AWS services for container deployment and management, including ECS, EKS, Fargate, Lambda, and others. It emphasizes that there is no single solution that can serve all customers, as they have different priorities around simplicity, flexibility, agility, and hybrid capabilities. The document also explores strategic considerations around traditional versus serverless application architectures and how mean time between upgrades affects infrastructure choices. Finally, it proposes using scorecards to evaluate and compare AWS container services based on dimensions like workload support, ease of use, extensibility, and hybrid capabilities.
From 0 to Blue-Green deployments on AWS Fargate Massimo Ferre'
The document is a presentation on CI/CD for modern applications using AWS services. It discusses how software development has shifted from long release cycles with monolithic applications to much shorter release cycles with independent microservices. It then covers different AWS compute options for running code, such as EC2 instances, ECS, Fargate, Lambda, and EKS. The rest of the presentation discusses best practices for continuous delivery using AWS services like CodeCommit, CodeBuild, CodePipeline, CodeDeploy, ECR, ECS and ALB. It also provides an example of how to implement blue/green deployments on ECS with automated canary analysis and traffic shifting between versions.
AWS Summit Stockholm - Fargate: deploy containers, not infrastructureMassimo Ferre'
The document discusses using AWS Fargate to deploy containers without managing infrastructure. It provides an agenda covering how Fargate addresses confusion around compute options, integrating secrets management, and demonstrating an end-to-end pipeline with blue/green deployments on Fargate. The presenters then discuss how Fargate removes the need to manage capacity and drives better architectural patterns by not exposing servers. Code examples are provided to illustrate pulling secrets from Secrets Manager and running a Twitter streaming application on Fargate.
AWS Summit London 2019 - Containers on AWSMassimo Ferre'
This document discusses various options for running containers on AWS, including EC2 instances, ECS, EKS, Lambda, and Fargate. It provides examples of deploying a sample application called Yelb using each option. EKS is highlighted as providing a managed Kubernetes control plane while allowing customers to manage their own worker nodes. ECS is noted as having deep integration with other AWS services. The document concludes that EKS is well suited for hybrid deployments while ECS provides a more out-of-the-box experience through tighter AWS platform integration.
Meetup CNCF Torino - Amazon EKS March 29th 2019 Massimo Ferre'
This document discusses Kubernetes and AWS services. It provides an overview of Amazon EKS and how it allows customers to run Kubernetes on AWS managed control planes. It also discusses some limitations of EKS and how customers can integrate other AWS services like load balancers, IAM authentication, auto scaling, and spot instances with their EKS clusters. The document recommends two open source tools - eksctl and the EKS workshop - to help users get started with EKS.
End-to-end CI/CD deployments of containerized applications using AWS servicesMassimo Ferre'
This document discusses setting up an end-to-end CI/CD pipeline on AWS to continuously deploy a containerized application. It begins with an introduction and background on the speaker. It then describes the sample application that will be deployed. The rest of the document goes through setting up the different AWS services needed for continuous integration, building Docker containers, and deploying the application via AWS Lambda and Amazon ECS/Fargate. It emphasizes using AWS Code services like CodeCommit, CodeBuild, CodePipeline and CodeDeploy to automate the process from code changes to production deployments.
The document discusses container services at AWS. It begins with an overview of Amazon Elastic Container Service (ECS), which provides a managed orchestration service to deploy and manage containers across a cluster of EC2 instances. It then covers how AWS addresses trends toward broader compute abstractions and operationalizing open source software. Finally, it introduces AWS Fargate, which removes the need for customers to manage the underlying infrastructure for containers.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
2. • This is the only session that doesn’t talk about Kubernetes (sorry)
• The integration we are talking about is in Beta (WIP) as of October 2020
Disclaimers
4. Containers on AWS: the 33k feet view
Amazon EC2 AWS Fargate
Amazon ECSAmazon EKS
Containers
orchestration
Compute
engines
Amazon ECR AWS App Mesh
Today we are
talking about these
5. Once upon a time…. (and mostly today)
Amazon ECSAmazon EKS
Containers
orchestration
We used to containerize our application and write a ton of YAML to deploy them using container orchestrators
6. How you interact w/ orchestrators is changing
Amazon ECSAmazon EKS
Containers
orchestration
Copilot
Amazon Code* suite
Today we are
talking about this
7. • Easiest way to run containers on AWS
§ Even more so if you are familiar with AWS already
• No control plane deployments, no versions, no upgrades, no nodes
§ It’s just there
• Out of the box native integration with other AWS services
§ IAM, CloudFormation, ALB, Secrets Manager,
Why ECS/Fargate?
8. • More than 650K* Docker Compose files exist on GH
§ Investment protection
• Docker Compose is a simple way to deploy multi-container applications
§ Low barrier of entry for non container experts
Why Docker cloud deployments on ECS?
* [ source]: https://www.docker.com/blog/announcing-the-compose-specification/
9. Yelb (a simple demo application)
https://github.com/mreferre/yelb/
16. Advanced use cases (AWS extensions)
• The philosophy of this integration is to make it as transparent as possible
§ Use sensible defaults when more than one option exist in AWS
• Yet sometimes you may need more control on the AWS deployment
§ This is also useful to integrate with other services (beyond ECS/Fargate)
19. • We have introduced ECS/Fargate
• We have discussed the nature of the integration w/ Docker (in beta)
• We have shown it in action
• We have briefly touched on Docker and AWS extensions
Conclusions
20. • Amazon ECS and AWS Fargate
• https://ecsworkshop.com/
• Docker Compose CLI (cloud deployment)
• https://www.docker.com/blog/from-docker-straight-to-aws/
• https://docs.docker.com/engine/context/ecs-integration/
Call to action: explore more - Useful links