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.
How do you automate operational tasks when managing your infrastructure on AWS, such as code deployment, software configurations, package installations, database setups, and server scaling? Using AWS OpsWorks, you can deploy and operate applications of all shapes and sizes. In addition, you can model your application stack with layers that define the building blocks of your application: load balancers, application servers, and databases.
The webinar will accelerate your use of OpsWorks by helping you learn how to manage and configure instances, create and deploy applications, and monitor your resources using AWS OpsWorks.
Learning Objectives:
• How to model your application stack
• How to manage and configure instances
• How to create and deploy applications
• How to automate operational tasks
Who Should Attend:
- Developers,
- Dev-ops Engineers,
- System Administrators
This session explains the different services and techniques to automate deployments on AWS, using tools such as AWS CloudFormation, OpsWorks, or PowerShell.
Who should attend:
Developers, DevOps Manager, Configuration Managers, Test Managers and Architects
Demos associated with this webinar:
• Creating a CloudFormation script that describes the target environment
• Deploying the build artifacts onto the target environment
View the webinar: http://youtu.be/5WwWylmZE7Y
AWS Summit Stockholm 2014 – T5 – Deploy, manage and scale applications on AWSAmazon Web Services
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases.
This session is recommended for people who understand AWS and want to know more about deployment options for their applications.
In this session we'll discuss and demonstrate key concepts and design patterns for continuous deployment and integration using technologies like AWS OpsWorks and Chef to enable better control of applications and infrastructures.
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control and share your application configuration. This session will cover topics such as application updates, customization and working with resources including load balancers and databases.
(DVO305) Turbocharge YContinuous Deployment Pipeline with ContainersAmazon Web Services
It worked on my machine! How many times have you heard (or even said) this sentence? Keeping consistent environments across your development, test, and production systems can be a complex task. Enter containers! Containers offer a way to develop and test your application in the same environment in which it runs in production. Developers can use tools such as Docker Compose for local testing of complex applications; Jenkins and AWS CodePipeline for building and orchestration; and Amazon ECS to manage and scale their containers. Come to this session to learn how to build containers into your continuous deployment workflow, accelerating the testing and building phases and leading to more frequent software releases. Attendees will learn to use Docker containers to develop their applications and test locally with Docker Compose (or Amazon ECS local), integrate containers in building, deploy complex applications on Amazon ECS, and orchestrate continuous development workflows with CodePipeline.
Talk on Amazon Redshift, Meetup Les Nouvelles Organisations, 11/02/2016, Paris - http://www.meetup.com/fr-FR/lesnouvellesorganisations/events/227195680/
How do you automate operational tasks when managing your infrastructure on AWS, such as code deployment, software configurations, package installations, database setups, and server scaling? Using AWS OpsWorks, you can deploy and operate applications of all shapes and sizes. In addition, you can model your application stack with layers that define the building blocks of your application: load balancers, application servers, and databases.
The webinar will accelerate your use of OpsWorks by helping you learn how to manage and configure instances, create and deploy applications, and monitor your resources using AWS OpsWorks.
Learning Objectives:
• How to model your application stack
• How to manage and configure instances
• How to create and deploy applications
• How to automate operational tasks
Who Should Attend:
- Developers,
- Dev-ops Engineers,
- System Administrators
This session explains the different services and techniques to automate deployments on AWS, using tools such as AWS CloudFormation, OpsWorks, or PowerShell.
Who should attend:
Developers, DevOps Manager, Configuration Managers, Test Managers and Architects
Demos associated with this webinar:
• Creating a CloudFormation script that describes the target environment
• Deploying the build artifacts onto the target environment
View the webinar: http://youtu.be/5WwWylmZE7Y
AWS Summit Stockholm 2014 – T5 – Deploy, manage and scale applications on AWSAmazon Web Services
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases.
This session is recommended for people who understand AWS and want to know more about deployment options for their applications.
In this session we'll discuss and demonstrate key concepts and design patterns for continuous deployment and integration using technologies like AWS OpsWorks and Chef to enable better control of applications and infrastructures.
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control and share your application configuration. This session will cover topics such as application updates, customization and working with resources including load balancers and databases.
(DVO305) Turbocharge YContinuous Deployment Pipeline with ContainersAmazon Web Services
It worked on my machine! How many times have you heard (or even said) this sentence? Keeping consistent environments across your development, test, and production systems can be a complex task. Enter containers! Containers offer a way to develop and test your application in the same environment in which it runs in production. Developers can use tools such as Docker Compose for local testing of complex applications; Jenkins and AWS CodePipeline for building and orchestration; and Amazon ECS to manage and scale their containers. Come to this session to learn how to build containers into your continuous deployment workflow, accelerating the testing and building phases and leading to more frequent software releases. Attendees will learn to use Docker containers to develop their applications and test locally with Docker Compose (or Amazon ECS local), integrate containers in building, deploy complex applications on Amazon ECS, and orchestrate continuous development workflows with CodePipeline.
Talk on Amazon Redshift, Meetup Les Nouvelles Organisations, 11/02/2016, Paris - http://www.meetup.com/fr-FR/lesnouvellesorganisations/events/227195680/
Code testing and Continuous Integration are just the first step in a source code to production process. Combined with infrastructure-as-code tools such as Puppet the whole process can be automated, and tested!
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
A collection of useful little bits of knowledge about how to work with Rails.
This talk was given at the Vancouver Ruby Meetup of Feb 23, 2017. #vanruby
The video of the presentation is here: https://www.youtube.com/watch?v=CSCE7Tc42kA
Docker for developers on mac and windowsDocker, Inc.
The whole Docker ecosystem exists today because of every single developer who found ways of using Docker to improve how they build software; whether streamlining production deployments, speeding up continuous integration systems or standing up an application on your laptop to hack on. In this talk we want to take a step back and look at where Docker sits today from the software developers point of view - and then jump ahead and talk about where it might go in the future. In this talk, we’ll discuss:
* Making Docker an everyday part of the developing software on the desktop, with Docker for Windows and Docker for Mac
* Docker Compose, and the future of describing applications as code
* How Docker provides the best tools for developing applications destined to run on any Kubernetes cluster
This session should be of interest to anyone who writes software; from people who want to hack on a few personal projects, to polyglot open source programmers and to professional developers working in tightly controlled environments. Everyone deserves a better developer experience.
Continuous Delivery with Maven, Puppet and Tomcat - ApacheCon NA 2013Carlos Sanchez
Continuous Integration, with Apache Continuum or Jenkins, can be extended to fully manage deployments and production environments, running in Tomcat for instance, in a full Continuous Delivery cycle using infrastructure-as-code tools like Puppet, allowing to manage multiple servers and their configurations.
Puppet is an infrastructure-as-code tool that allows easy and automated provisioning of servers, defining the packages, configuration, services,... in code. Enabling DevOps culture, tools like Puppet help drive Agile development all the way to operations and systems administration, and along with continuous integration tools like Apache Continuum or Jenkins, it is a key piece to accomplish repeatability and continuous delivery, automating the operations side during development, QA or production, and enabling testing of systems configuration.
Traditionally a field for system administrators, Puppet can empower developers, allowing both to collaborate coding the infrastructure needed for their developments, whether it runs in hardware, virtual machines or cloud. Developers and sysadmins can define what JDK version must be installed, application server, version, configuration files, war and jar files,... and easily make changes that propagate across all nodes.
Using Vagrant, a command line automation layer for VirtualBox, they can also spin off virtual machines in their local box, easily from scratch with the same configuration as production servers, do development or testing and tear them down afterwards.
We will show how to install and manage Puppet nodes with JDK, multiple Tomcat instances with installed web applications, database, configuration files and all the supporting services. Including getting up and running with Vagrant and VirtualBox for quickstart and Puppet experiments, as well as setting up automated testing of the Puppet code.
Managed services such as AWS Lambda and API Gateway allow developers to focus on value adding development instead of IT heavy lifting. This workshop introduces how to build a simple REST blog backend using AWS technologies and the serverless framework.
Bare Metal to OpenStack with Razor and ChefMatt Ray
Slides from the OpenStack Spring 2013 Summit workshop presented by Egle Sigler (@eglute) and Matt Ray (@mattray) from Rackspace and Opscode respectively. Please refer to http://anystacker.com/ for additional content.
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully-managed, certified Kubernetes conformant service that simplifies the process of building, securing, operating, and maintaining Kubernetes clusters on AWS
https://thinkcloudly.com/?s=aws+Elastic+Kubernetes+Service+
Frank Macreery, Aptible CTO, gives Ruby devs an introduction to Docker, simplifying service-oriented architecture, wrapping databases in a uniform API, and achieving the Holy Grail of dev/prod parity.
(ARC402) Deployment Automation: From Developers' Keyboards to End Users' Scre...Amazon Web Services
Some of the best businesses today are deploying their code dozens of times a day. How? By making heavy use of automation, smart tools, and repeatable patterns to get process out of the way and keep the workflow moving. Come to this session to learn how you can do this too, using services such as AWS OpsWorks, AWS CloudFormation, Amazon Simple Workflow Service, and other tools. We'll discuss a number of different deployment patterns, and what aspects you need to focus on when working toward deployment automation yourself.
An introduction to computer vision with Hugging FaceJulien SIMON
In this code-level talk, Julien will show you how to quickly build and deploy computer vision applications based on Transformer models. Along the way, you'll learn about the portfolio of open source and commercial Hugging Face solutions, and how they can help you deliver high-quality solutions faster than ever before.
Starting your AI/ML project right (May 2020)Julien SIMON
In this talk, we’ll see how you can put your AI/ML project on the right track from the get-go. Applying common sense and proven best practices, we’ll discuss skills, tools, methods, and more. We’ll also look at several real-life projects built by AWS customers in different industries and startups.
Building Machine Learning Inference Pipelines at Scale (July 2019)Julien SIMON
Talk at OSCON, Portland, 18/07/2019
Real-life Machine Learning applications require more than a single model. Data may need pre-processing: normalization, feature engineering, dimensionality reduction, etc. Predictions may need post-processing: filtering, sorting, combining, etc.
Our goal: build scalable ML pipelines with open source (Spark, Scikit-learn, XGBoost) and managed services (Amazon EMR, AWS Glue, Amazon SageMaker)
Optimize your Machine Learning Workloads on AWS (July 2019)Julien SIMON
Talk at Floor 28, Tel Aviv.
Infrastructure, tips to speed up training, hyperparameter optimization, model compilation, Amazon SageMaker Neo, cost optimization, Amazon Elastic Inference
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. Create a Git repository with AWS CodeCommit
$ aws codecommit create-repository
--repository-name blog --region us-east-1
--repository-description "ElasticBeanstalk
demo"
$ git clone ssh://git-codecommit.us-
east-1.amazonaws.com/v1/repos/blog
3. Create a new Rails application
$ rails new blog
$ cd blog
$ git add .
$ git commit -m "Initial version"
4. Create a new Rails application
$ rails new blog
$ cd blog
$ git add .
$ git commit -m "Initial version"
5. Add a ‘post’ resource to the application
$ rails generate scaffold post title:string body:text
$ bundle exec rake db:migrate
$ git add .
$ git commit -m "Add post resource"
$ rails server
$ open http://localhost:3000/posts
6. Initialize a Ruby application in Elastic Beanstalk
$ eb init blog -p Ruby -r eu-west-1
$ git add .gitignore
$ git commit -m "Ignore .elasticbeantalk
directory"
7. Create a ‘blog-dev’ environment
Single instance (no auto-scaling, no load balancing),
t2.micro instance size (default value)
$ eb create blog-dev
--single
--keyname aws-eb
--envvars SECRET_KEY_BASE=`rake secret`
8. Update the code and redeploy on ‘blog-dev’
$ vi app/views/posts/index.html.erb
--> "Blog de dev"
$ git add app/views/posts/index.html.erb
$ eb deploy blog-dev --staged
$ git commit -m "Add message on post page"
$ eb deploy blog-dev
9. Create a production branch for the blog
$ git branch prod
$ git checkout prod
Now we have to modify 3 files to add support for Postgres:
Gemfile
config/database.yml
.ebextensions/packages.config
10. Gemfile
group :development, :test do
# Use sqlite3 as the database for Active Record
gem 'sqlite3’
end
group :production do
# Use PostgreSQL as the database for Active Record
gem 'pg', '~> 0.18.1’
end
11. config/database.yml
production:
<<: *default
adapter: postgresql
encoding: unicode
database: <%= ENV['RDS_DB_NAME'] %>
username: <%= ENV['RDS_USERNAME'] %>
password: <%= ENV['RDS_PASSWORD'] %>
host: <%= ENV['RDS_HOSTNAME'] %>
port: <%= ENV['RDS_PORT'] %>
These environment variables will be automatically declared
by Elastic Beanstalk when we create an RDS instance
12. .ebextensions/packages.config
packages:
yum:
postgresql94-devel: []
This directive will install the postgres94-devel package on your instances.
It is required to install the ‘pg’ Ruby gem.
.ebextensions provides lots of options to configure and customize your Elastic
Beansltalk applications. The documentation is your friend J
https://docs.aws.amazon.com/fr_fr/elasticbeanstalk/latest/dg/ebextensions.html
13. Commit these changes to the production branch
$ git add Gemfile config/database.yml
.ebextensions
$ git commit -m "Use Postgres for production”
$ git push
Now let’s create a proper production environment :
running in a VPC, auto-scaled, load-balanced,
with larger instances and backed by RDS Postgres.
Ready? J
17. Many events and meetups in 2016 all across France
@aws_actus @julsimon
AWS User Groups in Paris,
Lyon, Nantes, Lille & Rennes
(meetup.com)
March 7-8
AWS Summit
May 31st
April 20-22March 23-24 April 6-7 (Lyon)
April 25