An introduction to AWS OpsWorks and how it uses Chef. Differences between OpsWorks and Chef server.
Presented by Jonathan Weiss on January 14th 2014 at the Hamburg Chef User Group.
ChefConf 2014 - AWS OpsWorks Under The HoodJonathan Weiss
This document summarizes AWS OpsWorks, an integrated application management service that uses Chef to automate configuration management and deployment. It discusses OpsWorks architecture, how it integrates with Chef, and key differences from a traditional Chef server setup. Key events like setup, configure, deploy and shutdown trigger Chef runs with stack state JSON. Layers map to roles to define common behaviors and settings for groups of instances.
Understand AWS OpsWorks - A DevOps Tool from AWSdevopsjourney
AWS OpsWorks is an application management service that makes it easy to deploy and operate applications. It allows users to define an application's architecture and components through templates or custom specifications. AWS OpsWorks provides automation to scale applications based on time or load, and dynamic configuration as the environment scales. The document then demonstrates how to use AWS OpsWorks to install an HTTP server and deploy a static website using Chef recipes.
This document discusses how to run Docker containers on AWS OpsWorks. OpsWorks is a configuration management service that allows users to automate infrastructure and applications on AWS. It uses Chef to define recipes and run lists that are triggered by lifecycle events. The document outlines how to create a custom Docker layer in OpsWorks that will install Docker, manage Docker images and containers, and update configurations across instances. It recommends using the chef-docker cookbook to define recipes for setup, deploy, configure, and undeploy events that will install Docker, deploy containers, update shared configurations, and remove containers respectively.
Amazon Elastic Beanstalk is a PaaS offering from Amazon that allows users to deploy and manage applications in the cloud. It automatically handles tasks like capacity provisioning, load balancing, scaling and application health monitoring. The document discusses the history and services behind Elastic Beanstalk like EC2 and S3. It also provides an overview of how Elastic Beanstalk works, the programming models supported, tools available and a demo of deploying a sample news application using Elastic Beanstalk.
An introduction to serverless architectures (February 2017)Julien SIMON
An introduction to serverless
AWS Lambda
Amazon API Gateway
Demo: writing your first Lambda function
Demo: building a serverless pipeline
Additional resources
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 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.
Continuous Deployment with Amazon Web ServicesJulien SIMON
This document summarizes a webinar about continuous deployment with Amazon Web Services. It defines concepts like continuous integration, continuous delivery, and DevOps. It then demonstrates how to set up continuous integration/continuous delivery pipelines on AWS using services like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. The pipelines shown include building and deploying a C library and a Java web application. Potential issues that may occur with deployments are also discussed.
This document summarizes serverless computing using AWS Lambda. It discusses how AWS Lambda allows developers to deploy code without managing infrastructure. Various frameworks are presented that simplify development and deployment of serverless applications using AWS Lambda, including the Serverless framework, Gordon, and the new AWS Serverless Application Model (SAM). Serverless architectures with AWS Lambda provide scalability and pay-per-use pricing for event-driven applications.
DevOps with Elastic Beanstalk - TCCC-2014scolestock
This document discusses using AWS Elastic Beanstalk for deploying applications. It describes Elastic Beanstalk as a platform as a service that handles provisioning infrastructure and managing application deployments. It covers how to deploy application versions through the AWS console, command line, IDE plugins, or a CI/CD tool like Jenkins. It also discusses how Elastic Beanstalk uses applications, environments, and versions to model deployments and provides configuration, monitoring, logging and scaling capabilities.
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.
전 세계 팬들이 모일 수 있는 플랫폼 만들기 - 강진우 (beNX) :: AWS Community Day 2020 AWSKRUG - AWS한국사용자모임
This document discusses setting up a virtual private cloud (VPC) on AWS Cloud and configuring an executor for Apache Tomcat. It provides links to resources about optimizing Nginx configuration and an open job posting from a Korean company.
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.
Building a data warehouse with Amazon Redshift … and a quick look at Amazon ...Julien SIMON
This document provides a summary of a presentation about building data warehouses with Amazon Redshift and using Amazon Machine Learning. The presentation discusses how Amazon Redshift can be used to build a petabyte-scale data warehouse with SQL and no system administration. Case studies are presented showing companies saving on total cost of ownership by migrating to Amazon Redshift. It also briefly introduces Amazon Machine Learning for building predictive models with managed services. Demo examples are shown of loading data into Redshift and using ML to train a regression model and create a real-time prediction API.
The document discusses various techniques for optimizing CakePHP 2.x applications. It covers optimizations that can be made at the browser level, environment level, and application level. Specific optimizations discussed include improving caching strategies, lazy loading elements, reducing bootstrapping overhead, optimizing routing and URL generation, and using containable instead of recursive model associations. Testing optimizations with tools like siege and ab is also recommended.
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.
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.
goployer, 코드 기반의 배포 도구 - 송주영 (beNX) :: AWS Community Day 2020AWSKRUG - AWS한국사용자모임
The document discusses deployment best practices and introduces goployer, an open source deployment tool. It summarizes key aspects of infrastructure as code and modern deployment approaches like blue/green and canary deployments. Goployer supports immutable infrastructure, deployment as code, measurement and testing to enable cost effective and simple deployments. The DevOps Art project aims to share infrastructure code, develop open source tools like Terraform and goployer, and conduct online workshops to foster a proper conceptual understanding of DevOps philosophy and ideal implementations based on that philosophy.
AWS Cloud Development Kit (CDK)를 이용한 코드 기반 인프라 개발 및 배포 - 공찬호(리얼리티매직) :: AWS C...AWSKRUG - AWS한국사용자모임
This document discusses using AWS CDK to develop and deploy infrastructure as code. It begins with an introduction of the speaker and their background. It then provides examples of using CDK to create a game backend with Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon ElastiCache. The document outlines topics like using a custom authorizer with API Gateway, handling many resources and methods, running Lambda functions in a VPC, blue/green deployments, code reuse with layers, and testing strategies. Code examples and references are provided.
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.
Sascha Möllering gave a presentation on deploying applications to the AWS cloud. He began with an overview of AWS services like EC2, S3, RDS and explained how to initially create a simple cloud service with one instance each for a web application and database. He then described how to improve the architecture by separating components, adding redundancy and elasticity using services like ELB, autoscaling and read replicas. Sascha demonstrated deploying a sample application built with JHipster and Docker to AWS Elastic Beanstalk, which handles running the containers and mapping environment variables for the database connection.
A 60-mn tour of AWS compute (March 2016)Julien SIMON
This document summarizes a 60-minute talk on AWS compute technologies including EC2, ECS, Lambda, and Elastic Beanstalk. The talk provides an introduction to each service, demos of launching EC2 instances, deploying apps with Elastic Beanstalk and ECS, and implementing APIs with Lambda. It also lists upcoming user group events and a new book on AWS Lambda.
Introduction
Benefits
Concepts
Templates
CLI Tool
Cloud Formation Demo
Cloud Former (Intro)
Questions
The tutorial includes an introduction to Cloud formation, benefits to Cloud formation, concepts of Cloud formation, CLI tool, Cloud formation demo, introduction to Cloud former. The tutorial begins with an introduction to Cloud formation subsequent to which, there is another section talking about the benefits of Cloud formation. It also includes the services which are used by Cloud formation.
The next section is based on the concepts of Cloud formation. This section is important as it explains the concepts of Cloud formation which are template and stack. The Template section includes the description, objects, sample template, parameters, resources, types of resources and also the steps to create a template. Whereas, the Stack section includes the collection of resources, resources which are created or deleted. Afterward comes the CLI Tool. This section includes the CLI tool called CFN.
The CLI tool section is then followed by a Cloud formation demo. It not only gives a demo of Cloud formation and which templates would be useful. But, it also includes the issues which are present in the Cloud formation demo. The last section includes an introduction to Cloud former. It provides the description of Cloud former as to which tool and architecture it uses and also the things which are possible while using Cloud former.
Ladislav Prskavec is presenting on AWS Elastic Container Service (ECS). ECS is a highly scalable container management service that supports Docker containers and allows running applications on a managed cluster of EC2 instances without needing to install and manage your own cluster infrastructure. The key components of ECS include clusters, container instances, task definitions, schedulers, services, and tasks. Ladislav provides examples of using the AWS CLI to create an ECS cluster, run EC2 instances as container instances, define a task, create a service, and list/describe services.
intro elastic container service amazon awsDanielJara92
This document provides an overview of Amazon EC2 Container Service (ECS). ECS is a highly scalable and high performance container management service that eliminates the need to install and operate your own container infrastructure. It provides container orchestration, deep AWS integration, and cluster management. ECS maps traditional workloads to instances, services, and tasks. It uses load balancers, clusters, and services to run containerized applications across a fleet of EC2 instances. Key features highlighted include task placement strategies, the ECS event stream for CloudWatch logs, IAM roles for tasks, and capabilities for fast deployments and flexible auto-scaling.
In this technology focussed session from Seb Stormacq, AWS Technical Trainer, we will illustrate how AWS services can change the way in which applications are developed and deployed.
This document summarizes serverless computing using AWS Lambda. It discusses how AWS Lambda allows developers to deploy code without managing infrastructure. Various frameworks are presented that simplify development and deployment of serverless applications using AWS Lambda, including the Serverless framework, Gordon, and the new AWS Serverless Application Model (SAM). Serverless architectures with AWS Lambda provide scalability and pay-per-use pricing for event-driven applications.
DevOps with Elastic Beanstalk - TCCC-2014scolestock
This document discusses using AWS Elastic Beanstalk for deploying applications. It describes Elastic Beanstalk as a platform as a service that handles provisioning infrastructure and managing application deployments. It covers how to deploy application versions through the AWS console, command line, IDE plugins, or a CI/CD tool like Jenkins. It also discusses how Elastic Beanstalk uses applications, environments, and versions to model deployments and provides configuration, monitoring, logging and scaling capabilities.
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.
전 세계 팬들이 모일 수 있는 플랫폼 만들기 - 강진우 (beNX) :: AWS Community Day 2020 AWSKRUG - AWS한국사용자모임
This document discusses setting up a virtual private cloud (VPC) on AWS Cloud and configuring an executor for Apache Tomcat. It provides links to resources about optimizing Nginx configuration and an open job posting from a Korean company.
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.
Building a data warehouse with Amazon Redshift … and a quick look at Amazon ...Julien SIMON
This document provides a summary of a presentation about building data warehouses with Amazon Redshift and using Amazon Machine Learning. The presentation discusses how Amazon Redshift can be used to build a petabyte-scale data warehouse with SQL and no system administration. Case studies are presented showing companies saving on total cost of ownership by migrating to Amazon Redshift. It also briefly introduces Amazon Machine Learning for building predictive models with managed services. Demo examples are shown of loading data into Redshift and using ML to train a regression model and create a real-time prediction API.
The document discusses various techniques for optimizing CakePHP 2.x applications. It covers optimizations that can be made at the browser level, environment level, and application level. Specific optimizations discussed include improving caching strategies, lazy loading elements, reducing bootstrapping overhead, optimizing routing and URL generation, and using containable instead of recursive model associations. Testing optimizations with tools like siege and ab is also recommended.
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.
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.
goployer, 코드 기반의 배포 도구 - 송주영 (beNX) :: AWS Community Day 2020AWSKRUG - AWS한국사용자모임
The document discusses deployment best practices and introduces goployer, an open source deployment tool. It summarizes key aspects of infrastructure as code and modern deployment approaches like blue/green and canary deployments. Goployer supports immutable infrastructure, deployment as code, measurement and testing to enable cost effective and simple deployments. The DevOps Art project aims to share infrastructure code, develop open source tools like Terraform and goployer, and conduct online workshops to foster a proper conceptual understanding of DevOps philosophy and ideal implementations based on that philosophy.
AWS Cloud Development Kit (CDK)를 이용한 코드 기반 인프라 개발 및 배포 - 공찬호(리얼리티매직) :: AWS C...AWSKRUG - AWS한국사용자모임
This document discusses using AWS CDK to develop and deploy infrastructure as code. It begins with an introduction of the speaker and their background. It then provides examples of using CDK to create a game backend with Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon ElastiCache. The document outlines topics like using a custom authorizer with API Gateway, handling many resources and methods, running Lambda functions in a VPC, blue/green deployments, code reuse with layers, and testing strategies. Code examples and references are provided.
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.
Sascha Möllering gave a presentation on deploying applications to the AWS cloud. He began with an overview of AWS services like EC2, S3, RDS and explained how to initially create a simple cloud service with one instance each for a web application and database. He then described how to improve the architecture by separating components, adding redundancy and elasticity using services like ELB, autoscaling and read replicas. Sascha demonstrated deploying a sample application built with JHipster and Docker to AWS Elastic Beanstalk, which handles running the containers and mapping environment variables for the database connection.
A 60-mn tour of AWS compute (March 2016)Julien SIMON
This document summarizes a 60-minute talk on AWS compute technologies including EC2, ECS, Lambda, and Elastic Beanstalk. The talk provides an introduction to each service, demos of launching EC2 instances, deploying apps with Elastic Beanstalk and ECS, and implementing APIs with Lambda. It also lists upcoming user group events and a new book on AWS Lambda.
Introduction
Benefits
Concepts
Templates
CLI Tool
Cloud Formation Demo
Cloud Former (Intro)
Questions
The tutorial includes an introduction to Cloud formation, benefits to Cloud formation, concepts of Cloud formation, CLI tool, Cloud formation demo, introduction to Cloud former. The tutorial begins with an introduction to Cloud formation subsequent to which, there is another section talking about the benefits of Cloud formation. It also includes the services which are used by Cloud formation.
The next section is based on the concepts of Cloud formation. This section is important as it explains the concepts of Cloud formation which are template and stack. The Template section includes the description, objects, sample template, parameters, resources, types of resources and also the steps to create a template. Whereas, the Stack section includes the collection of resources, resources which are created or deleted. Afterward comes the CLI Tool. This section includes the CLI tool called CFN.
The CLI tool section is then followed by a Cloud formation demo. It not only gives a demo of Cloud formation and which templates would be useful. But, it also includes the issues which are present in the Cloud formation demo. The last section includes an introduction to Cloud former. It provides the description of Cloud former as to which tool and architecture it uses and also the things which are possible while using Cloud former.
Ladislav Prskavec is presenting on AWS Elastic Container Service (ECS). ECS is a highly scalable container management service that supports Docker containers and allows running applications on a managed cluster of EC2 instances without needing to install and manage your own cluster infrastructure. The key components of ECS include clusters, container instances, task definitions, schedulers, services, and tasks. Ladislav provides examples of using the AWS CLI to create an ECS cluster, run EC2 instances as container instances, define a task, create a service, and list/describe services.
intro elastic container service amazon awsDanielJara92
This document provides an overview of Amazon EC2 Container Service (ECS). ECS is a highly scalable and high performance container management service that eliminates the need to install and operate your own container infrastructure. It provides container orchestration, deep AWS integration, and cluster management. ECS maps traditional workloads to instances, services, and tasks. It uses load balancers, clusters, and services to run containerized applications across a fleet of EC2 instances. Key features highlighted include task placement strategies, the ECS event stream for CloudWatch logs, IAM roles for tasks, and capabilities for fast deployments and flexible auto-scaling.
In this technology focussed session from Seb Stormacq, AWS Technical Trainer, we will illustrate how AWS services can change the way in which applications are developed and deployed.
The document discusses Amazon EC2 Container Service (ECS) and Amazon EC2 Container Registry (ECR). It provides an overview of how ECS manages Docker containers across server instances in a cluster, including task scheduling and service deployment. It also summarizes ECR as a fully managed private Docker container registry that provides security, reliability and integration with ECS and other AWS services. The document highlights key capabilities like load balancing, auto scaling, private access control and integration with tools like the Docker CLI.
Amazon Webservices for Java Developers - UCI WebinarCraig Dickson
Amazon Web Services (AWS) offers IT infrastructure services to businesses in the form of web services - now commonly known as cloud computing. AWS is an ideal platform to develop on and host enterprise Java applications, due to the zero up front costs and virtually infinite scalability of resources. Learn basic AWS concepts and work with many of the available services. Gain an understanding of how existing JavaEE applications can be migrated to the AWS environment and what the advantages are. Discover how to architect a new JavaEE application from the ground up to leverage the AWS environment for maximum benefit.
DevOpsDays Amsterdam - Observations in the cloudJonathan Weiss
The document discusses embracing failure in software systems and outlines strategies for building resilient infrastructure. It recommends dividing systems across multiple availability zones and regions to limit the impact of outages. Automating processes and practicing recovery procedures ensures systems can withstand failures. Continuous delivery and deployment pipelines are suggested to replace systems frequently and backup data regularly. Monitoring, experimentation and auto-scaling help systems maintain availability.
This document discusses Amazon SWF (Simple Workflow Service) and how it can be used with Ruby for task scheduling and workflow automation. It introduces the Gordon framework for building deciders and activities with Ruby. Key features of SWF are highlighted such as task lists, timeouts, and event history. The document concludes with information about job opportunities at Peritor GmbH.
An introduction into Backbone.js – a lightweight MVC framework. Backbone supplies structure to JavaScript-heavy applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing application over a RESTful JSON interface.
This document discusses Scalarium, a service for managing EC2 clusters. Key points:
- Scalarium allows for automatic configuration, self-healing, auto-scaling, one-click deployment and cloning of EC2 clusters.
- It provides monitoring, logging, firewalls, backups and access management for clusters.
- Case study of its use by wooga to manage 130 servers for a Facebook game with 1.5 million daily users.
- Scalarium stores data in CouchDB for its static but important data and uses it for high availability, easy replication, and robustness.
Build your own clouds with Chef and MCollectiveJonathan Weiss
One important part of the DevOps movement is infrastructure automation, especially if you are running your application on top of services like Amazon EC2.
Everybody's dream is to be able to bootstrap and deploy hundreds or even thousands of machines with a few simple commands. This talk will tell you how you can do this using Open Source tools like Chef and mcollective. Chef manages your servers configuration using a nice Ruby DSL while mcollective orchestrates and commands all your nodes.
This document discusses NoSQL databases as an alternative to traditional SQL databases. It introduces some popular NoSQL databases like Redis, MongoDB, CouchDB and describes their key features. Redis is presented as a simple key-value store that stores strings, lists and sets with persistence via snapshots or append logs. CouchDB is document-oriented and uses a RESTful API. It also supports views to query documents. NoSQL databases are built for the web, scalable, flexible and aim for eventual consistency over ACID transactions.
This document provides an overview of CouchDB, an open-source document-oriented NoSQL database that uses JSON for documents, JavaScript for querying and HTTP for an API. It discusses CouchDB's support for high availability, easy replication between clusters, flexible schemas using JSON documents, and its use of web technologies like HTTP, JavaScript and JSON. Views are used for querying and aggregating documents using JavaScript functions. The document also outlines CouchDB's support for clustering, load balancing, caching and multi-master replication.
The document discusses how to run applications on Amazon EC2. It covers choosing a region and availability zone, defining the architecture, selecting instance types, bootstrapping and configuring instances, deploying applications, and scaling. Key points include using Chef for configuration management, deploying with Capistrano hooks, and addressing issues with idempotency and documentation. The goal is to set up a browser game with 1.2 million daily users on over 130 EC2 instances to handle 120,000 requests per minute.
The document discusses using Amazon EC2 for hosting applications. It covers key EC2 concepts like regions, availability zones, instance types, Elastic IP addresses, Elastic Block Storage, Elastic Load Balancing, and Relational Database Service. It provides guidance on choosing instance types, reserving instances, bootstrapping instances using images or scripts, and deploying applications with tools like Chef. The goal is to illustrate how to set up and flexibly scale an application on EC2 to support millions of daily users.
Jonathan Weiss presented on infrastructure automation using the configuration management tool Chef. Chef uses Ruby scripts called cookbooks and recipes to configure and provision servers. It can configure multiple servers from a single definition file. Chef supports common infrastructure resources like packages, files, templates and services. It enforces best practices of infrastructure as code and makes deployment repeatable and automated through all environment stages.
Overview of how to manage deployments and clusters in the Amazon cloud. Introduction into Chef. Presented by Jonathan Weiss at RailsCamp DE in Cologne.
Rails in the Cloud - Experiences from running on EC2Jonathan Weiss
Overview of architectures in EC2 and services like EBS, ELB, RDS, and ElasticIPs. How to get your app on EC2. Configuration and deployment with Chef. Presented by Jonathan Weiss at RailsWayCon 2010 in Berlin
This document provides an introduction to CouchDB on Rails. It discusses CouchDB's support for high availability, easy replication, clustering, and short recovery times. CouchDB uses JSON documents and JavaScript for querying and aggregating data. Views allow indexing and querying documents. SimplyStored provides an ActiveRecord-like interface for CouchDB. RockingChair provides an in-memory version of CouchDB for testing. The document also covers CouchDB replication, load balancing, caching, sharding, and other features.
Jonathan Weiss gives an overview of the NoSQL databases. Why would you consider one, what are the tradeoffs? Given at BarCampRuhr3 2010 in Essen, Germany (Slides are English).
Ruby on CouchDB - SimplyStored and RockingChairJonathan Weiss
Presentation by Jonathan Weiss about Ruby on CouchDB at Ruby User Group Berlin in Marc 2010. Present SimplyStored, a nice wrapper for Ruby object. RockingChair is an in-memory CouchDB for speeding up your tests.
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.
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.
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.
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/.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
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.
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.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul
Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
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.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
6. The Heart of the Service
Agent on each
Agent on each
Amazon EC2 instance
EC2 instance
Understands a set of commands that are
triggered by AWS OpsWorks.
The agent then runs a Chef solo run.
15. control
simple
Customization Options
Built-in layers
Override Chef attributes via custom JSON
Override Chef attributes via custom cookbook
Overwrite Chef template file
Deploy hooks
Provide custom recipe to extend built-in layer
Provide custom recipe to create custom layer
16. Life Cycle Events
• Give you fine-grained control
• Faster to execute
• Context
17. Push vs. Pull
• On-demand and automatic
• Respond immediately to changes in the stack
18. Discovery: Chef Search
AWS OpsWorks does not offer attribute search
Alternative:
node[:opsworks] with similar capabilities
to partial_search
19. AWS OpsWorks Attribute Tree
Find all Rails application servers
rails_servers = node['opsworks']['layers']['rails-app']['instances']
rails_ips = rails_servers.map{|i| i['private_ip'] }
template "/etc/rails-server.conf" do
...
variables({
:ips => rails_server_ips
})
end
20. Encrypted Data Bags
• Upload encrypted JSON to S3
• Have instances access via IAM roles in a recipe
21. Custom JSON
Arbitrary JSON on stack that is available in Chef
{
‘foo‘: {
‘bar‘: true,
‘baz‘: false
}
}
if node.foo.bar
...
elsif node.foo.baz
...
end
22. Store Secrets on Amazon S3
Access from instance via instance profiles
bucket = node['acme']['bucket']
key = node['acme']['key']
s3 = AWS::S3.new
obj = s3.buckets[bucket].objects[key]
obj.read
25. More information about AWS OpsWorks
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Try it out https://console.aws.amazon.com/opsworks/
Follow us on twitter @AWSOpsWorks
Find us on YouTube
Blog http://blogs.aws.amazon.com/application-management
Docs http://aws.amazon.com/documentation/opsworks/
User tests [email protected]
Work with us http://jobs.aws-berlin.com