aws-secure-environment-accelerator
panther
| aws-secure-environment-accelerator | panther | |
|---|---|---|
| 4 | 1 | |
| 711 | 894 | |
| 0.8% | - | |
| 7.2 | 9.8 | |
| 19 days ago | about 3 years ago | |
| HTML | Go | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
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aws-secure-environment-accelerator
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An AWS account just for getting into other AWS accounts
https://github.com/aws-samples/aws-secure-environment-accele...
I've used the ASEA to get a number of organizations setup. I prefer it to Control Tower (it can be installed on top of CT). The ASEA is open source and written in AWS cdk so it can be forked and modified if needed.
- Managing AWS in a Large Organization: Looking for best practices and experience.
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Multi-account with AWS Organization + VPN server access to multiple VPC/regions: best practices?
Hey ! If you plan to create a new Landing zone, take a look at Control Tower, or this Env Accelerator you can also do it with Terraform.
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AWS Control Tower Advice
We are more interested in https://github.com/aws-samples/aws-secure-environment-accelerator which seems to be a way better successor to the original landing zone solution. Nearly all CDK and highly customisable. Just need a fresh new environment to deploy it into and test! By the looks of their commit history it seems they also thought of it as a better control tower before being told to change the wording.
panther
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Datadog alternatives
Panther labs: https://github.com/panther-labs/panther
What are some alternatives?
cfn_nag - Linting tool for CloudFormation templates
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django-DefectDojo - DevSecOps, ASPM, Vulnerability Management. All on one platform.
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CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
Completion-n-Queens-Problem - A linear algorithm is described for solving the n-Queens Completion problem for an arbitrary composition of k queens, consistently distributed on a chessboard of size n x n. Two important rules are used in the algorithm: a) the rule of sequential risk elimination for the entire system as a whole; b) the rule of formation of minimal damage in the given selection conditions. For any composition of k queens (1<= k<n), a solution is provided, or a decision is made that this composition can't be completed. The probability of an error in making such a decision does not exceed 0.0001, and its value decreases, with increasing n. It is established that the average time, required for the queen to be placed on one row, decreases with increasing value of n. A description is given of two random selection models and the results of their comparative analysis. A model for organizing the Back Tracking procedure is proposed based on the separation of the solution matrix into two basic levels. Regression
awslogs - AWS CloudWatch logs for Humansâ„¢
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cakework - APIs to run user code in any developer product