Cloud Provisioning Tool
Sceptre is a tool to drive AWS CloudFormation. It automates the mundane, repetitive and error-prone tasks, enabling you to concentrate on building better infrastructure.
- Code reuse by separating a Stack's template and its configuration
- Support for templates written in JSON, YAML, Jinja2 or Python DSLs such as Troposphere
- Dependency resolution by passing of Stack outputs to parameters of dependent Stacks
- Stack Group support by bundling related Stacks into logical groups (e.g. dev and prod)
- Stack Group-level commands, such as creating multiple Stacks with a single command
- Fast, highly parallelised builds
- Built in support for working with Stacks in multiple AWS accounts and regions
- Infrastructure visibility with meta-operations such as Stack querying protection
- Support for inserting dynamic values in templates via customisable Resolvers
- Support for running arbitrary code as Hooks before/after Stack builds
- Utilises cloud-native Infrastructure as Code engines (CloudFormation)
- You do not need to manage state
- Simple templates using popular templating syntax - Yaml & Jinja
- Powerful flexibility using a mature programming language - Python
- Easy to integrate as part of a CI/CD pipeline by using Hooks
- Simple CLI and API
- Unopinionated - Sceptre does not force a specific project structure
$ pip install sceptre
More information on installing sceptre can be found in our Installation Guide
Migrate v1 to v2
We have tried to make the migration to Sceptre v2 as simple as possible. For information about how to migration your v1 project please see our Migration Guide
V1 End of Life Notice
Support for Version 1 will end on June 1 2019. For new projects we recommend using Version 2.
Sceptre organises Stacks into "Stack Groups". Each Stack is represented by a
YAML configuration file stored in a directory which represents the Stack Group.
Here, we have two Stacks,
subnets, in a Stack Group named
$ tree . ├── config │ └── dev │ ├── config.yaml │ ├── subnets.yaml │ └── vpc.yaml └── templates ├── subnets.py └── vpc.py
We can create a Stack with the
create command. This
vpc Stack contains
$ sceptre create dev/vpc.yaml dev/vpc - Creating stack dev/vpc VirtualPrivateCloud AWS::EC2::VPC CREATE_IN_PROGRESS dev/vpc VirtualPrivateCloud AWS::EC2::VPC CREATE_COMPLETE dev/vpc sceptre-demo-dev-vpc AWS::CloudFormation::Stack CREATE_COMPLETE
subnets Stack contains a subnet which must be created in the VPC. To do
this, we need to pass the VPC ID, which is exposed as a Stack output of the
vpc Stack, to a parameter of the
subnets Stack. Sceptre automatically
resolves this dependency for us.
$ sceptre create dev/subnets.yaml dev/subnets - Creating stack dev/subnets Subnet AWS::EC2::Subnet CREATE_IN_PROGRESS dev/subnets Subnet AWS::EC2::Subnet CREATE_COMPLETE dev/subnets sceptre-demo-dev-subnets AWS::CloudFormation::Stack CREATE_COMPLETE
Sceptre implements meta-operations, which allow us to find out information about our Stacks:
$ sceptre list resources dev/subnets.yaml - LogicalResourceId: Subnet PhysicalResourceId: subnet-445e6e32 dev/vpc: - LogicalResourceId: VirtualPrivateCloud PhysicalResourceId: vpc-c4715da0
Sceptre provides Stack Group level commands. This one deletes the whole
Stack Group. The subnet exists within the vpc, so it must be deleted first.
Sceptre handles this automatically:
$ sceptre delete dev Deleting stack dev/subnets Subnet AWS::EC2::Subnet DELETE_IN_PROGRESS dev/subnets - Stack deleted dev/vpc Deleting stack dev/vpc VirtualPrivateCloud AWS::EC2::VPC DELETE_IN_PROGRESS dev/vpc - Stack deleted
Note: Deleting Stacks will only delete a given Stack, or the Stacks that are directly in a given StackGroup. By default Stack dependencies that are external to the StackGroup are not deleted.
Sceptre can also handle cross Stack Group dependencies, take the following example project:
$ tree . ├── config │ ├── dev │ │ ├── network │ │ │ └── vpc.yaml │ │ ├── users │ │ │ └── iam.yaml │ │ ├── compute │ │ │ └── ec2.yaml │ │ └── config.yaml │ └── staging │ └── eu │ ├── config.yaml │ └── stack.yaml ├── hooks │ └── stack.py ├── templates │ ├── network.json │ ├── iam.json │ ├── ec2.json │ └── stack.json └── vars ├── dev.yaml └── staging.yaml
In this project
staging/eu/stack.yaml has a dependency on the output of
dev/users/iam.yaml. If you wanted to create the Stack
staging/eu/stack.yaml, Sceptre will resolve all of it's dependencies,
dev/users/iam.yaml, before attempting to create the Stack.
Sceptre can be used from the CLI, or imported as a Python package.
Usage: sceptre [OPTIONS] COMMAND [ARGS]... Sceptre is a tool to manage your cloud native infrastructure deployments. Options: --version Show the version and exit. --debug Turn on debug logging. --dir TEXT Specify sceptre directory. --output [yaml|json] The formatting style for command output. --no-colour Turn off output colouring. --var TEXT A variable to template into config files. --var-file FILENAME A YAML file of variables to template into config files. --ignore-dependencies Ignore dependencies when executing command. --help Show this message and exit. Commands: create Creates a stack or a change set. delete Deletes a stack or a change set. describe Commands for describing attributes of stacks. estimate-cost Estimates the cost of the template. execute Executes a Change Set. generate Prints the template. launch Launch a Stack or StackGroup. list Commands for listing attributes of stacks. new Commands for initialising Sceptre projects. set-policy Sets Stack policy. status Print status of stack or stack_group. update Update a stack. validate Validates the template.
Using Sceptre as a Python module is very straightforward. You need to create a SceptreContext, which tells Sceptre where your project path is and which path you want to execute on, we call this the "command path".
After you have created a SceptreContext you need to pass this into a SceptrePlan. On instantiation the SceptrePlan will handle all the required steps to make sure the action you wish to take on the command path are resolved.
After you have instantiated a SceptrePlan you can access all the actions you
can take on a Stack, such as
from sceptre.context import SceptreContext from sceptre.plan.plan import SceptrePlan context = SceptreContext("/path/to/project", "command_path") plan = SceptrePlan(context) plan.launch()
Full API reference documentation can be found in the Documentation
Tutorial and Documentation
See our Contributing Guide
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