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INFRASTRUCTURE AS A CODE
Extensive AWS cloud engineering hands-on experience, Service control policies (SCP), managed and custom rules definition, scripting and deployment experience, reverse engineering, testing, validation and evidence-based mindset, pragmatically oriented, engineering creativity mindset, stakeholder management and communication skills, risk mitigation approach mindset
CDK Python 3.9 runtime
AWS’s latest Control Tower Landing Zone version is 3.3 and AWS Runtime for Lambda Python is 3.12. In addition, Python’s latest version for Platforms is 3.12.2. Challenge keeping the AWS Control Tower Landing Zone and runtime up to date with the latest features and fixes?
Paradigm
Matthews International Inc, FUJITSU TECHNOLOGY COMPANY, SMART IMS started digital transformation with one goal— to help provision AWS Multi-Organization, Multi-Account, and Multi-Regions using CloudFormation Templates Stack in 9 states and is now part of a global network to help businesses prosper. I aimed to optimize cost, best practices, governances, and collaboration with shareholders, and communities. Adapting clients’ needs to a digital-first approach allows the on-the-go with 24/7 access through a Mobile App.
Response
Through stakeholder management and communication skills, I have deployed AWS Control Tower Landing zone orchestration common customization using CloudFormation Template automation. The Cloud Development Kit (CDK) bootstrap CloudFormation and deploys short-linked lifecycles and long-linked lifecycles stacks, enabling reverse engineering. Common customizations, identity, IAM Role and Policies, and Service Control Policy (SCP) boundaries mitigate risk. Other common customizations are Security and Compliance and Networking Constructs. CloudFormation template validates and provides evidence, of deployments for Green (testing) Organization and Blue (Production) Organization logical resources, and physical resources pipelines.
In addition, customization for AWS Control Tower (CfCT) solutions, CDK object-oriented or pragmatic-oriented abstraction i.e., Python 3.9 Runtime CfCT best practices and considerations. SCP boundaries best practices deploy regions through pipelines in Parallel or Sequential, Fault Tolerant Performance or Consistency, AWS Manage Service Quotas, and Global Resources—furthermore, CfCT deployment multi-organizations, multiple-regions, and end-to-end account vending. Santander’s Bank cloud audit administrator(s) can centrally monitor all accounts align with established company-wide compliance, SCP, AWS Config Rules, AWS Cloud Trail Data Events, AMAZON CloudWatch logs, AWS GuardDuty, AWS Security Hub, and AWS Access Analyzer.
I have built CDK prerequisites for Python runtime 3.9 or greater including but not limited to a repository, JQ CLi, AWS CLi, AWS CDK CLi, AWS Account, and IAM Roles permissions. The entry point is the CDK app.py file. It creates the CloudFormation template stack of logical resources and then physical resources. CDK bootstrap and CDK deploy constructs AWS Config Rules, MFA, S3 Bucket Policies, and SCP boundaries. As well as procedural instructions for an instance user data, or an instance desired state with CloudFormation Init customization.
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