Infrastructure as Code - AWS CloudFormation
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AWS CloudFormation allows users to define infrastructure as code to provision and manage AWS resources through templates. It provides features like automated rollouts, visual diagramming, and templates that can be version controlled and code reviewed. The document demonstrates using CloudFormation to create a load balanced web application with a database, and also shows how Packer can be used to create customized AMIs as part of the infrastructure code. Tips are provided around parameterization, reusability, autoscaling, and costs when using CloudFormation.
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We heard from data management practitioners and cloud strategists from Amazon Web Services and NuoDB about how organizations are meeting the challenges associated with building new or migrating existing applications to the cloud.
Finally, we discussed how the right cloud-based architecture can:
- Handle rapid user growth by adding new servers on demand
- Provide high performance even in the face of heavy application usage
- Offer around-the-clock resiliency and uptime
- Provide easy and fast access across multiple geographies
- Deliver cloud-enabled apps in public, private, or hybrid cloud environments
Building Open Source Platforms on AWS (April 2017)
The document provides an overview of building open source platforms on AWS. It discusses using AWS services like EC2, RDS, ElastiCache, and S3 to run popular open source software like Linux, Docker, databases, analytics tools, and development frameworks. It provides links to AWS documentation and quick start guides on deploying solutions like Elasticsearch, Kafka, and Hadoop on AWS infrastructure.
Architecting for the Cloud: Best Practices
The document discusses architectural patterns and best practices for building scalable and resilient applications on Amazon Web Services (AWS). It provides examples of how to design for failure, implement loose coupling between components, and build elasticity into applications using AWS services like Auto Scaling, Elastic Load Balancing, and Amazon EC2. The document also outlines three approaches for creating standardized technology stacks and managed development environments on AWS.
Deep Dive on Serverless Stack
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Increase Speed and Agility with Amazon Web Services by Andreas Chatzakis, AWS Solutions Architect - 1st Athens DevOps Meetup - 29 October 2015
Increase Speed and Agility with Amazon Web Services
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Introduction to DevOps on AWS
Introduction to DevOps on AWS. Basic introduction to Devops principles and practices, and how they can be implemented on AWS. Introduces basic cloudformation.
AWS Architecting Cloud Apps - Best Practices and Design Patterns By Jinesh Varia
Jinesh Varia, Technology Evangelist, Discusses AWS architecture best practices and design patterns at the AWS Enterprise Tour - SF - 2010
http://jineshvaria.s3.amazonaws.com/public/cloudbestpractices-jvaria.pdf
Introduction to Apache cloudstack - Linuxcon
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>Apache CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.
In this talk, Giles will give an introduction to the technology, its history and its architecture. He will look common use-cases (and some real production deployments) that he sees across both public and private cloud infrastructures and where CloudStack can be completed by other open source technologies.
Giles will also compare and contrast Apache Cloudstack with other IaaS platforms and why he thinks that the technology, combined with the Apache governance model will see CloudStack become the de-facto open source cloud platform.
He will run a live demo of the software and talk about ways that people can get involved in the Apache CloudStack project
Infrastructure as Code: Manage your Architecture with Git
With the AWS Cloud you have an on-demand, programmable infrastructure that you can manage using tools and practices from software development. You can create resources when you need and dispose of them when you don’t. Using Amazon CloudFormation you can describe your architecture in text files. To change your infrastructure, you edit those files. Having application and infrastructure code in a single, robust, versioned repository like Git gives a lot of advantages. Using AWS Elastic Beanstalk you can link your Git branches to different infrastructure environments (e.g. test, production) and automate deployments. You can create test environments on-demand, even for a short time. Instead of continuously update your resources, you can recreate them quickly from scratch, simplifying lifecycle management and making deployments immutable. As a result, you have more time to focus on the unique features of your application.
LatJUG Amazon Web Services
This document provides an overview of deploying applications to Amazon Web Services (AWS). It discusses choosing an AWS region and availability zone, selecting appropriate compute, storage, and database technologies, defining application architecture, bootstrapping and configuring instances, and deploying the application. Key AWS services covered include Elastic Compute Cloud (EC2), Simple Storage Service (S3), Elastic Block Store (EBS), Relational Database Service (RDS), and configuration management with Chef. Both advantages and disadvantages of using AWS are listed.
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
We will explore the strengths and limitations of Hadoop for analyzing large data sets and review the growing ecosystem of tools for augmenting, extending, or replacing Hadoop MapReduce. We will introduce the Amazon Elastic MapReduce (EMR) platform as the big data foundation for Hadoop and beyond by providing specific examples of running Machine Learning (Mahout), Graph Analytics (Giraph), and Statistical Analysis (R) on EMR. We will discuss also big data analytics and visualization of results with Amazon Redshift + third party business intelligence tools, as well as typical end-to-end Big Data workflow on AWS.
We will conclude with real-world examples from ICAO of Big Data analytics for aviation safety data on AWS. The integrated Safety Trend Analysis and Reporting System (iSTARS) is a web based system linking a collection of safety datasets and related web application to perform online safety and risk analysis. It uses AWS EC2, S3, EMR and related partner tools for continuous data aggregation and filtering.
ENT401 Deep Dive with Amazon EC2 Systems Manager
Whether you are a traditional enterprise exploring migrating workloads to the cloud or are already “all-in” on AWS, performing common tasks of inventory collection, OS patch management, and image creation at scale is increasingly complicated in hybrid infrastructure environments. Amazon EC2 Systems Manager allows you to perform automated configuration and ongoing management of your hybrid environment systems at scale. This session provides an overview of key EC2 Systems Manager capabilities that help you define and track system configurations, prevent drift, and maintain software compliance of your EC2 and on-premises configurations. We will also discuss common use cases for EC2 Systems Manager and give you a demonstration of a hybrid-cloud management scenario.
Overview of AWS Building Blocks
Objective of this document:
1.Provide brief overview of AWS building blocks
2.Provide reference / links for deep-dive
Similar to Infrastructure as Code - AWS CloudFormation (20)
Infrastructure Continuous Delivery Using AWS CloudFormation
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Infrastructure Continuous Delivery Using AWS CloudFormation
Infrastructure Continuous Delivery Using AWS CloudFormation
Amazon EC2 Systems Manager for Hybrid Cloud Management at Scale
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Infrastructure as Code - AWS CloudFormation
- 1. AWS CloudFormation Chamila de Alwis
- 2. How do you deploy?
- 8. Codified Configuration that can be Version Managed Code Reviewed Release-managed
- 10. AWS specific (surprise!!) JSON/YAML “Templates” create “Stacks” Update/Rollout made easy Visual diagramming
- 11. Demo
- 13. Load Balancing Artifact Management Database Management Security and Access Control Naming Routing Internet Access
- 17. AMI Creation
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Editor's Notes
- Typical deployment story Request for instances by specifying specs Manage specs manually Setup manually or using something like Puppet Go to production
- What happened above Infrastructure management App provisioning (automation of this layer is well known now)
- Manage vs Orchestrate What? Manual management of VMs, Networks vs Automatoin of this confiugraiton through code Why? Snowflake vs Immutable deployment How? Through codification of infrastructure configuration
- Vendor specific JSON or YAML based Separate API exposing AWS resources Rollout is made easy Minor Visual part of the service
- This is the what is usually involved But there’s more to this than this initial config
- Things quickly become complex and the need for a cross-stack management descipline arises We should create a Template’ Continously test Release Do changes only in the template and update
- Create from UI Show created resources Go through the CF script and map to resources and explain how they were created
- Need for private AMIs Introduce Packer To be contd.