Cloudformation S3 Lifecycle Example Yaml

2 Use Cross-Stack References to Export Shared Resources 1. Q&A for system and network administrators. If it’s something you see in the console, you can, most of the time, define it in a CloudFormation template. That is not the end of the enhancements added to the CloudFormation - one additional example can be AWS Lambda based macros inside the templates announced at the beginning of September. The Amazon support confirmed that this functionality is on the way (2017-11-22) but they can´t give an ETA. I've been struggling to get an SNS topic to trigger a Lambda this week. Info Lifecycle Mgmt Data Governance, Compliance • RestApi. yaml Find file Copy path mariusmitrofan Lower default AsgMinSize and AsgMaxSize a00742e Nov 29, 2018. AWS CloudFormation is a IaC for the amazon cloud services. yaml template, or update your existing stack with your version of the templates. How to Create and Manage Resources in Amazon Web Services Infrastructure? AWS CloudFormation; (S3 lifecycle rules, metric alarms) resources. This allows you, for example, to create and manage an AWS Elastic Beanstalk-hosted application along with an RDS database to store the application data. As of this writing, the example template provided is in JSON form but I prefer using YAML. Choosing a Provisioning Tool. AWS CloudFormation::Init is great for integrating basic configuration management (files, services and packages) into your CloudFormation based instances or launch configurations. This blog is part of a multi-blog series on AWS CloudFormation. artifactbucketstore - This bucket stores artifacts that are built by the CodeBuild project. Security represents a crucial part of the developer’s responsibility is an important topic, so I suggest you read Stuart Scott’s post from this winter S3 Lifecycle Policies, Versioning & Encryption: AWS Security. For enviornments routinely processing more than 100 images per second, because S3 stores files lexicographically (alphabetically), S3 GETs can be faster if file names are prefixed with a random string (as in a GUID) or reverse the keyname string. yaml \ --output-template-file output. I'm not talking about application variables, but blocks of re-usable YAML which you can reference later on in your file. The following example creates an S3 bucket and grants it permission to write to a replication bucket by using an AWS Identity and Access Management (IAM) role. AWS CloudFormation Goes YAML. The example’s source code is available on GitHub and can be used to speed up. 3 Use IAM to Control Access 1. yaml Bash S3 Cloudformation API Gateway Create package Upload. About This Video. This is an example of what this command will look like:. Take a look at how you can begin using AWS CloudFormation as an automation tool to create resources for your other AWS services with this YAMl template. And, again, in my opinion, the standard would be to use yaml where applicable and convert to json where yaml isnt supported simply because of all the advantages it gives over json. yaml Find file Copy path jchrisfarris Added Template Version to Templates 1727689 Nov 18, 2017. js and Lambda Lately, I've been turning to AWS Lambda for building server-side logic — whether for client work, product development, or even personal projects. Visit Services > Cloudformation > Create Stack > Upload a template to Amazon S3 and upload the file with the CloudFormation template and click Next. com and example. The user data is located in the CloudFormation template. For example, the AWS Git-backed Static Website creates all of the interesting pieces including a CodeCommit Git repository, S3 buckets for web site content and logging. All of our Lambda functions use Python; our backend is Python/Django, so it makes sense to stick with what we know. Declarative definition of the resources and their connections in the infrastructure and the code which applies the definition. From the CloudFormation console I click the Create Stack button. , Amazon ECR). So I’ve taken the example template and have converted it to YAML. If you don’t want to deal with the hassle of managing a low level construct, you can also use the addPropertyOverride method to overwrite the generated CloudFormation values for existing high level constructs. CloudFormation is an integral part of automated infrastructure delivery with AWS, and a must-have for DevOps who want to speed up IT deployments. Application Lifecycle Management: developers customers react monitor delivery pipeline feedback loop productiontestbuildsource 11. If you have python already installed just hit enter. During the setup process, you’ll need to decide where you want to store logging data. Visit here to learn more. Info Lifecycle Mgmt Data Governance, Compliance • RestApi. VPC endpoints allow private connectivity from an VPC to supported AWS services. Once CloudFormation completes the tasks described in the template, the Stack is available. AWS CloudFormation is a core Service in AWS which allows us to automate the Infrastructure and Application Deployments. I have a yaml file which built using cloud formation template. Puppet manifests is in DSL. cfpp is a pre-processor for CloudFormation templates which adds additional functions to the CloudFormation language. CloudFormation StackSets offer the capability to deploy CloudFormation stacks into multiple regions or multiple accounts. The 'standard_ia' class is only being available from Ansible version 2. VPC endpoints allow private connectivity from an VPC to supported AWS services. テンプレートからAWSリソース( EC2 RDS S3 VPC Subnet など)を自動構築するためのサービスです。. Note: If you are trying to use a value from a Cloudformation Stack in the same Terraform run please use normal interpolation or Cloudformation Outputs. The AWS CloudFormation template is a JSON data standard to allow cloud application administrators to define a collection of related AWS resources. …Let's take a look at AWS CloudFormation…which does just that. Declarative. テンプレートからAWSリソース( EC2 RDS S3 VPC Subnet など)を自動構築するためのサービスです。. CloudFormationのTemplateファイルはYamlで書くことが出来ます。 2 書きましょう。Jsonを使うメリットはさしてありません。配列の最後に , を書いてしまってFormatエラーになる日々をわざわざ選ぶ必要はないのです。 Yaml のメリットを活かそう. To declare this entity in your AWS CloudFormation template, use the following syntax:. prometheus-cluster-aws / cloudformation-template. S3 Buckets - Two S3 buckets are created on your behalf. You can create and manage the full lifecycle of an S3 bucket within a CloudFormation template. From the AWS CloudFormation dashboard click Create stack. Creating these same resources with a standard CloudFormation template would be a much larger effort as you would have to either embed the source code (where you’re limited to 4096 characters) in the template, or use a task runner to package up your function and libraries, push them to S3, and then use a pointer in your CloudFormation template to that S3 object. AWS CloudFormation Concepts. Since AWS introduced native YAML support, CloudFormation templates are much more readable than before. Infrastructure as Code has emerged as a best practice for automating the provisioning of infrastructure services. ) Save the file to the default kubectl folder, with your cluster name in the file name. !Sub) because I like my YAML to be easily convertible to JSON by normal converters. The example's source code is available on GitHub and can be used to speed up. Pushing the CloudFormation Bleeding Edge: Native Modular Templates. AWS CloudFormation custom resources tutorial. For example, take an infrastructure stack that contains one or multiple VPCs, subnets, routing tables, NACL rules, e. Open the YAML file and define your provisioner. AWS CloudFormation::Init is great for integrating basic configuration management (files, services and packages) into your CloudFormation based instances or launch configurations. By Olivier Robert, a Senior Consultant and DevOps Engineer at Agile Partner. Normally, these templates can be very verbose because you need to define every part of these services. My result breakdown. From the CloudFormation console I click the Create Stack button. In the next post, I will talk about how to add a Route53 record resource to the template: A Simple Introduction to AWS CloudFormation Part 2: EC2 Instance and Route53. CloudFormation is one of the services provided by AWS, which helps to set up Web Services resources. …So with this in mind, let's open up the text editor. The lifecycle hook is added to a new Auto Scaling group that's created from the same snippet. I have a yaml file which built using cloud formation template. Personally I find YAML cleaner. For example, we can declare an output for an S3 bucket name and then call the aws cloudformation describe-stacks AWS CLI command to view the name. An Introduction to AWS CloudFormation CloudFormation is an automation tool which automates the process of creating resources for your infrastructure in AWS. In this case,it defines : CidrBlock:The IP address range associated with the VPC. Browse other questions tagged amazon-s3 yaml amazon-cloudformation or ask your own question. This cloudformation teamplte basically is just gonna to create an s3 bucket. OpsWorks instead, if there are operations specialists. An API specification contains general information about the API as well as the technical details about every endpoint it exposes. Kubernetes Spec Directory Contents:. I'm using CloudFormation's packaging feature to automatically push the deployable to S3. YAML workload-yaml-master. 1 Organize Your Stacks By Lifecycle and Ownership 1. The S3 Lifecycle system allows for many unique configurations. They allow you to extend CloudFormation to do things it could not normally do. Cloudformation S3 Lifecycle Example Yaml The JSON based format has a lot more braces to deal with; but if you have an editor that can format JSON syntax for you, this format may be easy as well. For CloudFormation it is just a unique string. Welcome to this Amazing course on AWS CloudFormation Simplified. Either create a new CloudFormation stack by deploying the master. Previously if you needed to append strings together, you had to use the clumsy Fn::Join syntax. org,2002:int ”. Appears to be out of date compared with HTML version. This allows you, for example, to create and manage a Elastic Beanstalk-hosted application along with an RDS database to store the application data. Note that your AWS account must have permissions to access the S3 Bucket, and must be able to list, get, put, and delete objects in the S3 Bucket. You also learn about the advantages and disadvantages of both options. You can also easily update or replicate the stacks as needed. With such expressiveness and power, we can do much more - if you are considering to build your product on AWS we strongly encourage you to learn both techniques. This is a little complex to make it stable and reliable in a production system. The Amazon support confirmed that this functionality is on the way (2017-11-22) but they can´t give an ETA. For example, if your cluster name is , save the file to ~/. Course PDFs Part 3. 1 specification except for: Hash merges Aliases The binary, omap, pairs, TIMESTAMP, and set tags Supports all CloudFormation features and functions except for CloudFormation Designer You can construct commands or outputs that include values that aren't available until you create or update a stack Use pipe symbol = | for. These resources might include Amazon Elastic Cloud Compute (EC2) instances,. Menu Automate application deployment with AWS CloudFormation Part 3 - Launch Configuration 03 November 2014. VPC Peering: Can create multiple VPCs inside a single template Can enable VPC peering, but only within the same AWS account <– I don't think this right. Below are examples for CloudFormation and Terraform. Let us learn how to set up our first AWS S3 Bucket using CloudFormation. You should take a look at Bootstrapping AWS CloudFormation Windows Stacks and Configuring a Windows Instance Using the EC2Config Service. Can you please assist. cfpp is a pre-processor for CloudFormation templates which adds additional functions to the CloudFormation language. CloudFormation comes with a set of limits that is definitely worth looking at. AWS::S3::Bucket Rule. AWS CloudFormation Primer Allows you to define a “template” which is composed of different “resources” and then provision that template into repeatable, live, “stacks”. This launches a new stack from the AWS CloudFormation template that provisions EC2 instances and installs the CodeDeploy agent. To deploy one, we run an Ansible playbook that builds it into a zip file, uploads that to S3, then creates/updates the relevant Cloudformation stack as necessary. YAML is a data-orientated human readable serialization language, and I have come across it in many projects including OpenAPI, Docker, Kubernetes and Ansible playbooks among others. Once CloudFormation completes the tasks described in the template, the Stack is available. If we specify a local template file, AWS CloudFormation uploads it to an Amazon S3 bucket in our AWS account. This code is in YAML format. The processing of YAML into JSON is not AWS specific. Its Getting Started Guide starts out by explaining the directory layout and config files involved, and is a good companion to the CloudFormation docs in my opinion. This simple model can represent any data structure independent of programming language. But there is no resource type that can create an object in it. You will use CloudFormation to define the API Gateway in combination with Lambda to implement the functionality. 1 S3 Object Lifecycle Management Rules 1. You can write YAML or JSON scripts (also called templates) where you specify details for each of your resources and their dependencies. This paper describes the benefits of Infrastructure as Code, and how to leverage the capabilities of Amazon Web Services in this realm to support DevOps initiatives. AWS CloudFormation — Getting Started for. folders) for different instances. Creating these same resources with a standard CloudFormation template would be a much larger effort as you would have to either embed the source code (where you’re limited to 4096 characters) in the template, or use a task runner to package up your function and libraries, push them to S3, and then use a pointer in your CloudFormation template to that S3 object. from YAML documents used with CLI commands such as bosh create-env and bosh deploy. A slight knowledge of JSON or YAML is really helpful. Skipping a Build # If you don’t want to run a build for a particular commit for any reason, you may instruct Travis CI to skip building this commit via a command in the commit message. Let's see an example. YAML is the format used by Ansible, Swagger, JenkinsJobBuilder, Grails, tools that I'm using a lot, and so I my wish got bigger and bigger to have CloudFormation YAML templates. The setup of our first example consists of 3 running container instances. Course PDFs Part 3. An Introduction to AWS CloudFormation CloudFormation is an automation tool which automates the process of creating resources for your infrastructure in AWS. Amazon S3 Standard - Infrequent Access (Standard - IA) is an Amazon S3 storage class for data that is accessed less frequently, but requires rapid access when needed. CloudFormation Templates in YAML AWS recently announced support for authoring CloudFormation templates in YAML instead of JSON. Our next template example is that of SFTP Gateway, a product that we sell on the AWS Marketplace that makes it easy to transfer files via SFTP to Amazon S3. See Selecting a Stack Template for details. AWS CloudFormation provides several built-in functions that help you define your stacks. Both of these are logical resources — and logical resources contained within a template are converted into physical resources when you create a STACK in a REGION. CloudFormation has supported YAML for at least a year or two now, and it’s leagues more readable and compact, not to mention maintainable—you can even add comments to your code with YAML (something that is impossible with the old JSON format). If transition_date is not specified, this parameter is required. Browse other questions tagged amazon-web-services yaml amazon-cloudformation or ask your own question. 2 parser / writer for JavaScript. The format for describing APIs with Swagger is either JSON or YAML. 6 (59 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. The templates are uploaded to AWS, and then used to provision and configure the stacks and resources defined in the templates. Gateway Endpoint (S3) This template describes a Gateway VPC endpoint to securely access S3 without the need of a NAT Gateway, NAT instance, or public internet. …Let's take a look at AWS CloudFormation…which does just that. Table of Contents show 1 S3 Object Lifecycle Overview 1. I'm using CloudFormation's packaging feature to automatically push the deployable to S3. AWS CloudFormation Primer Allows you to define a “template” which is composed of different “resources” and then provision that template into repeatable, live, “stacks”. Storing and maintaining lifecycle objects in AWS S3. prometheus-cluster-aws / cloudformation-template. To declare this entity in your AWS CloudFormation template, use the following syntax:. Specifies the lifecycle configuration for objects in an Amazon S3 bucket. At first they might seem reasonable but after a while, it's definitely possible you're gonna hit some of them. You can create a CloudFormation template using standard JSON or YAML format. This paper describes the benefits of Infrastructure as Code, and how to leverage the capabilities of Amazon Web Services in this realm to support DevOps initiatives. CloudFormation accepts both YAML and JSON code format. AWS S3 lifecycle can work with AWS Glacier ( low-cost cloud archive storage service ). A CloudFormation YAML template could look like this:. AWS CloudFormation simplifies provisioning and management on AWS. This configures the S3 bucket and the custom resource. ch IaaS service cloudtrail cloudwatchevent_rule - Manage CloudWatch Event rules and targets cs_account - Manages accounts on Apache. ) Add that file path to your KUBECONFIG environment variable so that kubectl knows where to look for your cluster configuration. Additionally, it might also define the actual data structures consumed and returned by the API itself. 1 specification except for: Hash merges Aliases The binary, omap, pairs, TIMESTAMP, and set tags Supports all CloudFormation features and functions except for CloudFormation Designer You can construct commands or outputs that include values that aren't available until you create or update a stack Use pipe symbol = | for. Example - Create thumbnails when photos are added to S3 bucket create CloudFormation template from. YAML is a full serialization language with robust features and it also supports comments. This is super helpful when you want to launch templates across accounts or regions in a standardized manner, or when you want to deploy an app to multiple regions for high-availability or disaster-recovery reasons. I won't dive into ASW S3 Lifecycle security in this post either. This allows you, for example, to create and manage a Elastic Beanstalk-hosted application along with an RDS database to store the application data. You should take a look at Bootstrapping AWS CloudFormation Windows Stacks and Configuring a Windows Instance Using the EC2Config Service. MapName is set to the map of interest, “ RegionMap ” in this example. Declarative. yaml: Serverless Application model YAML file. 4 Verify Quotas for All Resource Types 1. Download the Dynamic DynamoDB CloudFormation template to your computer. YAML for sure. My example has two, ‘s3bucket’ which defines an S3 bucket and ‘bucketpolicy’ which creates a policy for controlling bucket access AND links it to the S3 bucket using a reference. The "Event" parameter can be changed to trigger on different S3 actions. We will learn by practically implementing all the CloudFormation concepts with multiple examples. What is AWS CloudFormation? CloudFormation is a powerful tool from AWS that allows you to provision practically any resource you want. An AWS CloudFormation template consists of nine main objects: Format version. json cloudformation. Tooling around with CloudFormation helpers. AWS CloudFormation creates a unique bucket for each region in which you upload a template file. The simple one we want is Amazon EC2 instance in a security group. json --use-json. CloudFront is AWS' CDN service. Visit here to learn more. Exercise Working with YAML Template 2. You can't upload files through CloudFormation, that's not supported because CFN doesn't have access to your local filesystem. I'm using CloudFormation's packaging feature to automatically push the deployable to S3. A Snapshot is a Kubernetes Custom Resource Definitions (CRD). When is the best moment to scale up? Which limits should be used? This depends heavily on the size of your cluster. The second command adds a lifecycle on the bucket that automatically removes files older than one day. AWS CloudFormation Concepts. A full example of training a model, exporting it to the JIT format and uploading to S3 based on Lesson 1 can be found here. " – Purmode R. Since AWS introduced native YAML support, CloudFormation templates are much more readable than before. aws cloudformation package \ --template-file template. json CloudFormation template. yaml Uploading to 34cd6e82c5e8205f9b35e71afd9e1548 1922559 / 1922559. A security group for Amazon EFS that allows inbound NFS access from resources (including the mount target) associated with this security group (TCP 2049). The value-add for your call centre staff, is increased call quality by not having to deal with mundane, monotonous calls that a clever Lexbot can deal with. Be sure to use something unique. テンプレートからAWSリソース( EC2 RDS S3 VPC Subnet など)を自動構築するためのサービスです。. Some resources have to be replaced instead. How to write one? We'll build a solution upon Custom Resources, which can add support for arbitrary resources using a Lambda function as a handler for the lifecycle. To apply multiple rules, they must be combined in the policy JSON. I like to design CloudFormation templates that create all of the resources necessary to implement the desired functionality without requiring a lot of separate, advanced setup. Below are examples for CloudFormation and Terraform. You will use CloudFormation to define the API Gateway in combination with Lambda to implement the functionality. AWS Serverless Application Model AWS CloudFormation templates are a standardized specification for describing, documenting, and deploying components of a serverless application Let's. Create an s3 bucket and upload the initialization script specified below. 1 S3 Object Lifecycle Management Rules 1. You may use Condition Functions to address such types of requirement. This is the first post of three where we are going to showcase how to build and configure a Data Continuity Service (DCS) for Amazon DynamoDB by using Amazon DynamoDB Streams, AWS Lambda, and the Amazon S3 services. At first they might seem reasonable but after a while, it’s definitely possible you’re gonna hit some of them. In this example, the ECS Cluster name is example-ecs-cluster 3. is the name for the CloudFormation stack, such as cluster-sec. yaml --output-template-file packaged. And, again, in my opinion, the standard would be to use yaml where applicable and convert to json where yaml isnt supported simply because of all the advantages it gives over json. # s3tup Python package that offers configuration management and deployment for Amazon S3 through simple declarative yaml files. 3 Use IAM to Control Access 1. How to incorporate S3, EC2, and IAM in a CloudFormation template How to create a Redshift stack with AWS CloudFormation Or you can download all of these articles together in one handy eBook by clicking the link below. In a previous post, I talked about how CloudFormation now supports YAML for templates. Let's say you have a canonical way of using s3 buckets within your organization. However, other than this, it will bring much better productivity increase due to its. Once you have added the YAML, sync your Git repo with Harness via Configuration As Code. , Amazon ECR). Basic Examples Constructing an S3 ARN from a parameter. Support for code comments. Previously, you could only create or edit your CloudFormation templates in JSON. Let us learn how to set up our first AWS S3 Bucket using CloudFormation. Online Demo. 1 Planning and Organizing 1. You will use CloudFormation to define the API Gateway in combination with Lambda to implement the functionality. In this example, we will also use the description section…and the parameters section…so that we can specify input parameters for our users. AWS Cloudformation vs Terraform: CloudFormation example using EC2, SecurityGroup and S3 IT Automation with Python YAML and Shell Scripting 5,464 views. artifactbucketstore - This bucket stores artifacts that are built by the CodeBuild project. LambdaAMILookupSample. Since AWS introduced native YAML support, CloudFormation templates are much more readable than before. The following sample is a bucket policy that is attached to the myExampleBucket bucket and allows GET requests that originate from www. Online Demo. So CloudFormation Linter or cfn-lint is a nifty tool to check for syntactical and bugs in the template. The user data is located in the CloudFormation template. The DSL (Domain Specific Language) used in CloudFormation is simple and neat. NOTE: Only one aws_ecr_lifecycle_policy resource can be used with the same ECR repository. DynamoDB is used to store the data. TopLevelKey is set to the region where the stack is created, which is determined by using the “ AWS::Region ” pseudo parameter. CloudFormation templates that use the YAML format will reduce the amount of code. subnetIds — a comma-separated list of the SubnetIds values from the AWS CloudFormation output that you generated in the previous step. JS-YAML - YAML 1. そこで、CloudFormationの全体像を把握しやすくなるように押さえておきたいポイントを解説します。 CloudFormationとは 概要. Configurable lifecycle archiving of S3 to Glacier. On the next screen I choose "Upload a template to Amazon S3" and click the browse button. They allow you to extend CloudFormation to do things it could not normally do. pip install cfn_flipcfn_flip examples/test. From the CloudFormation console I click the Create Stack button. Blog Making Sense of the Metadata: Clustering 4,000 Stack Overflow tags with…. Hosting a Static Site on AWS With CloudFormation. Bootstrapping Applications via AWS CloudFormation 1 Bootstrapping Applications via AWS CloudFormation With AWS CloudFormation, you write templates to define the set of resources that you need to run your applications. The fine folks at AWS Labs have since released a Python package, cfn-flip, that you can install and use from a shell to convert a CF template from one format to the other: if you feed it JSON, it converts to YAML, and vice-versa. CloudFormation supports two standard formats, JSON and YAML. , Amazon ECR). - Supports YAML or JSON for creating templates: - Templates are used to describe the enedstate of the infrastructe. Starting the CloudFormation stack¶ The following will create a new CloudFormation stack. artifactbucketstore - This bucket stores artifacts that are built by the CodeBuild project. DynamoDB is used to store the data. Use Stack Policies Stack policies help protect critical stack resources from unintentional updates that could cause resources to be interrupted or even replaced. Very important for understanding resource lifecycle, is realizing that the Physical ID is something which uniquely identifies our cloud resource. cfn-python-lint This python utility will validate CloudFormation yaml/json templates for the CloudFormation specification and additional checks. If transition_date is not specified, this parameter is required. This parameter is ignored since Ansible 2. is the name for the CloudFormation stack, such as cluster-sec. 1 Planning and Organizing 1. Command execution simultaneously. prometheus-cluster-aws / cloudformation-template. Example - Create thumbnails when photos are added to S3 bucket create CloudFormation template from. One would add the following override to fix. We will learn by practically implementing all the CloudFormation concepts with multiple examples. AWS CloudFormation Goes YAML. Thanks to cfn_flip this is an easy task. Go through Hands On examples to practice what you learnt; Learn how to use YAML to write the CloudFormation templates; Learn how to write your infrastructure as code. The examples in this article are all available on Github. Cloudformation properties. AWS CloudFormation is a core Service in AWS which allows us to automate the Infrastructure and Application Deployments. AWS recently released a new "game changing" feature for CloudFormation Templates - support for YAML. !CloudformationTemplate support/bucket-policy. The CheckerLambdaTimer is the CloudWatch Events Rule that triggers the checker to run once per minute. 6 (59 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. AWS CloudFormation is a IaC for the amazon cloud services. Construire un cluster kubernetes avec eksctl. txt instead of config. json or swagger. yaml file Note: if you want to add to the documentation please edit the openapi_cloud. This cloudformation teamplte basically is just gonna to create an s3 bucket. Blog Making Sense of the Metadata: Clustering 4,000 Stack Overflow tags with…. yaml \ --output-template-file output. If you are already using Dynamic DynamoDB and have an existing configuration file, upload it to AWS S3. CloudFormation. yaml: Serverless Application model YAML file. yaml \--s3-bucket \--output-template-file template-packaged. Let's get started. Then you can just push it ToTheCloud(tm), some kind of magic happens while you go make coffee, and you're done. A presentation created with Slides. com and example. Recently, Amazon has added the option of YAML (Yet Another Markup Language or YAML Ain't a Markup Language, depending on your sense of humor) for CloudFormation. One of the features Amazon Simple Storage Service (S3) provides to storage buckets is lifecycle rules. I'm using CloudFormation's packaging feature to automatically push the deployable to S3. To do this, you have two choices. AWS CloudFormation::Init is great for integrating basic configuration management (files, services and packages) into your CloudFormation based instances or launch configurations. Templates are simple YAML- or JSON-formatted text files that can be placed under your normal source control mechanisms, stored in private or public locations such as Amazon S3, and exchanged via email. This was really ugly and confusing in the JSON days, and only slightly improved with YAML syntax. You need to call the configuration dynamic-dynamodb. Then you can just push it ToTheCloud(tm), some kind of magic happens while you go make coffee, and you're done. To avoid a circular dependency, the role's policy is declared as a separate resource. A full example of training a model, exporting it to the JIT format and uploading to S3 based on Lesson 1 can be found here. General Purpose (SSD) volumes are also now designed to deliver a consistent baseline performance of 3 IOPS/GB to a maximum of 10,000 IOPS, and provide up to 160 MBps of throughput per volume. Both offer templates for PHP web application. LambdaAMILookupSample. CloudFormation.