Skip to main content

Amazon Web Services Operator Interface

Project description

Aegea is a command line interface (CLI) that provides a set of essential commands and terminal dashboards for operators of Amazon Web Services (AWS) accounts. Aegea lets you build AMIs and Docker images using the cloud-init config management package, manage config roles, launch and monitor instances and services, and manage AWS resources including ELB, RDS, and AWS Batch. Aegea is designed to be used in conjunction with the existing functionality of the AWS CLI and boto3.

Installation

pip3 install aegea

Run aws configure to configure IAM access credentials that will be used by the aws and aegea commands. You can create a new IAM key at https://console.aws.amazon.com/iam/home#/users. See the AWS CLI documentation for more details.

Aegea commands

Below are some highlights from Aegea’s suite of commands. Run aegea --help to see the full list of commands.

Command

Key functionality

aegea ls

List running EC2 instances

aegea launch

Launch EC2 instances and specify options such as spot tenancy, AMI, instance type, etc.

aegea ssh, aegea scp

Connect to running instances, transfer files using AWS Systems Manager or other options

aegea batch

Submit, manage and monitor AWS Batch jobs

aegea ecs

Monitor ECS clusters and run Fargate tasks

aegea build-ami

Build EC2 AMIs using cloud-init configuration scripts

aegea build-docker-image

Build AWS ECR docker images using Dockerfiles or cloud-init scripts

aegea logs

Download AWS CloudWatch Logs contents using S3 export

aegea grep

Query AWS CloudWatch Logs contents using CloudWatch Logs Insights

aegea cost

List AWS cost reports generated by AWS Cost Explorer

aegea secrets

List and manage secrets stored in AWS Secrets Manager

Aegea SSH

The aegea ssh command (and its variant aegea scp) is an SSH configuration wrapper that integrates with the AWS Systems Manager to provide SSH connectivity to your instances without opening any inbound ports (if your instance OS is not configured with SSM, use aegea ssh --no-ssm to open a direct connection). aegea ssh securely resolves instance addresses by name and pre-fetches their public keys without the Trust-On-First-Use requirement. It also optionally integrates with the Bless package using the blessclient configuration convention.

Aegea Launch

The aegea launch command launches EC2 instances. It has integrated support for Bless as well as DNS, runtime cloud-init configuration, automatic location of Aegea-built AMIs or up-to-date Ubuntu or Amazon Linux AMIs, automatic storage configuration, and other options.

Aegea Batch

The AWS Batch API lets you run non-interactive command line workflows in Docker containers, managing AWS ECS, Fargate, and EC2/Spot in your account on your behalf. Use the aegea batch family of commands to interact with AWS Batch. The key command is aegea batch submit to submit jobs.

Run aegea batch submit --command "echo 'hello world'" --memory 4096 --vcpus 2 --watch to run a Batch job that requires 4 GB RAM and 2 cores to be allocated to the Docker container, and executes the specified command.

You can also use aegea batch submit --execute FILE. This will slurp up FILE (any type of shell script or ELF executable) and execute it in the job’s Docker container.

The concurrency and cost of your Batch jobs is governed by the “Max vCPUs” setting in your compute environment. To change the capacity or other settings of the default compute environment used by aegea batch, go to https://console.aws.amazon.com/batch/home?region=us-east-1#/compute-environments, select “aegea_batch”, and click “Edit”.

Batch and ECS Fargate

The ECS Fargate API is an interface to the AWS container-based virtualization platform, Firecracker. ECS Fargate allows you to run workloads in fully managed containers: no instances run in your account; you are billed by the second of container use, and containers start up within 10 seconds, compared to minutes for EC2 instances.

AWS Batch can run your jobs on either ECS Container Instances (EC2 instances connected to ECS that Batch manages in your account) or directly in ECS Fargate containers. While Fargate containers are much faster to start, they have lower CPU and memory limits of 4 CPUs and 30 GB RAM (compared to 96 CPUs and 768 GB RAM on EC2).

By default, aegea batch will create and use an AWS Batch compute environment and queue that uses ECS Fargate, but you can control this by setting the --compute-type option to aegea batch create-compute-environment.

Aegea also supports direct use of ECS Fargate without Batch via the aegea ecs run command. Most aegea batch semantics are applicable to aegea ecs, which interacts with ECS via the “one shot” ECS RunTask API.

Configuration management

Aegea supports ingesting configuration from a configurable array of sources. Each source is a JSON or YAML file. Configuration sources that follow the first source update the configuration using recursive dictionary merging. Sources are enumerated in the following order (i.e., in order of increasing priority):

  • Site-wide configuration source, /etc/aegea/config.yml

  • User configuration source, ~/.config/aegea/config.yml

  • Any sources listed in the colon-delimited variable AEGEA_CONFIG_FILE

  • Command line options

Array merge operators: When loading a chain of configuration sources, Aegea uses recursive dictionary merging to combine the sources. Additionally, when the original config value is a list, Aegea supports array manipulation operators, which let you extend and modify arrays defined in underlying configurations. See https://github.com/kislyuk/tweak#array-merge-operators for a list of these operators.

Building AMIs and Docker images

Aegea includes a lightweight configuration management system for building machine images based on cloud-init (both Docker images and AMIs are supported).

https://github.com/kislyuk/aegea/workflows/Tests/badge.svg https://img.shields.io/pypi/v/aegea.svg https://img.shields.io/pypi/l/aegea.svg https://codecov.io/gh/kislyuk/aegea/branch/master/graph/badge.svg

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aegea-3.8.0.tar.gz (221.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aegea-3.8.0-py2.py3-none-any.whl (282.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file aegea-3.8.0.tar.gz.

File metadata

  • Download URL: aegea-3.8.0.tar.gz
  • Upload date:
  • Size: 221.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for aegea-3.8.0.tar.gz
Algorithm Hash digest
SHA256 2f8f231341318befa921b7986ce7c0cf13e4de549fa2047148fa373d7316c1bf
MD5 cf17a0a757ac6733c1f890a5cf6d8692
BLAKE2b-256 e5527403001118366154725a23f9918ce9954952c239249d6b4f9fc1e6a55064

See more details on using hashes here.

File details

Details for the file aegea-3.8.0-py2.py3-none-any.whl.

File metadata

  • Download URL: aegea-3.8.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 282.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for aegea-3.8.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 32d76ce9e91f73c37f17bbce5f91c9e2bc55edf1ae8660711e673816d37bcf70
MD5 32d6c3f41341fb3a38e51b8aa4757ada
BLAKE2b-256 9b4a83078acc5cfa30383101420ce82cf0e2b3d18f8b7cf6fea5cd7f2d3c68fc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page