System deployment plan

A system deployment plan is a detailed plan used to guide the installation, configuration, and management of a new system. It ensures that the system can be successfully launched within the scheduled time and minimizes potential risks and issues. Through system deployment plans, organizations can benefit from improving efficiency, reducing costs, and ensuring quality. This is a mind map of a system deployment plan. The map contains 10 main branches, namely: Github ORG settings and setup, Github Actions Runners Might need to setup, Template Repos Terraform module, SNS, SQS, AWS S3, StandAlone Resources Modules RDS-MYSQL, Building Terraform modules, Application Release Repo setup, Demo Account Demo Client+apply all required modules, Infra deployer Cl pipeline, Terraform Module Repo Terraform Cl pipeline. Each main branch has multiple layers of sub branches for detailed description. To Discussions has multiple independent branches. Suitable for people interested in deploying physical systems.

Edited at 2023-11-16 10:02:17

Khalid Waleed

Recent works View more works>>

System deployment plan
A system deployment plan is a detailed plan used to guide the installation, configuration, and management of a new system. It ensures that the system can be successfully launched within the scheduled time and minimizes potential risks and issues. Through system deployment plans, organizations can benefit from improving efficiency, reducing costs, and ensuring quality. This is a mind map of a system deployment plan. The map contains 10 main branches, namely: Github ORG settings and setup, Github Actions Runners Might need to setup, Template Repos Terraform module, SNS, SQS, AWS S3, StandAlone Resources Modules RDS-MYSQL, Building Terraform modules, Application Release Repo setup, Demo Account Demo Client+apply all required modules, Infra deployer Cl pipeline, Terraform Module Repo Terraform Cl pipeline. Each main branch has multiple layers of sub branches for detailed description. To Discussions has multiple independent branches. Suitable for people interested in deploying physical systems.

System deployment plan

Khalid Waleed

Recent works View more works>>

System deployment plan
A system deployment plan is a detailed plan used to guide the installation, configuration, and management of a new system. It ensures that the system can be successfully launched within the scheduled time and minimizes potential risks and issues. Through system deployment plans, organizations can benefit from improving efficiency, reducing costs, and ensuring quality. This is a mind map of a system deployment plan. The map contains 10 main branches, namely: Github ORG settings and setup, Github Actions Runners Might need to setup, Template Repos Terraform module, SNS, SQS, AWS S3, StandAlone Resources Modules RDS-MYSQL, Building Terraform modules, Application Release Repo setup, Demo Account Demo Client+apply all required modules, Infra deployer Cl pipeline, Terraform Module Repo Terraform Cl pipeline. Each main branch has multiple layers of sub branches for detailed description. To Discussions has multiple independent branches. Suitable for people interested in deploying physical systems.

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MasterPlan

Github ORG settings and Setup

IaC Template Repo A pre configured Repo Template can to speed up create a new IaC Repo

Release Dreafter make use of GH actions and Semantic Commit Messages to auto release on PR merge

GH Actions CI/CD pipelines

PR checks - Linting

Mandatory Code Review before merge

Code Owners

Github Actions Runners Might need to setup !?

Template Repos Terraform module

Infrastructure deployer per clinet - it is recommended to split them for security reasons and more porability and less coupled structure

Terraform Module Repo Terraform CI pipline

Infra deployer CI pipeline

CD pipeline for many actions. apply, plan, destroy

Demo Account Demo Client + apply all required modules

Application Release Repo Setup

Repo PR CI

CI Artifacts

Test Environment

PR Merge - auto release release with a code version like 1.2.0

CD pipeline - from version

CD release stratigt

Building Terraform modules This based on the need

Basic mandator network modules VPC (3 subnets 1 public, 3 private) public, application, data, VPN / 3 AZs

WAF

VPC VPN Gateway site to site vpn

Bastion Host on public subnet

Natgateway

Internet GateWay

Application Infrastructaure ECS, ECR, RDS

Application Deployment

Application Rollback

StandAlone Resources Modules RDS - MYSQL

RDS - ARURA

RDS - POSTGRESS

RDS - SQL Server

AWS S3

SQS

SNS

Setup objectives

Develop naming conventions

Establish directory structures

Environment Segregation

Edication and Setup

To Discuss

Objectives

Infrastructure as Code (IaC)

Phase 3: Implementation Strategy 6. Create Reference Architectures: Develop reference architectures that can serve as templates for common deployment scenarios within AWS. 7. Modularize Infrastructure: Break down infrastructure into reusable modules with clear inputs/outputs using both Terraform and Terragrunt capabilities. 8. Implement State Management Best Practices: 9\ Configure remote state storage backend such S3 DynamoDB ensure states are shared securely among team members prevent conflicts 10\ Continuous Integration Delivery CI CD Pipelines: 11- Integrate automated pipelines Jenkins CircleCI trigger runs tests upon commits master branch deploy changes after approval process 12- Security Compliance Checks: 13 Incorporate tools checkov tfsec scan security compliance issues part pipeline before deployments made 14 Disaster Recovery Planning DRP : 15 Plan disaster recovery strategies leveraging cloud-native services RDS snapshots AMIs cross-region replication 16 Monitoring Logging Observability 17 Utilize CloudWatch Splunk collect logs metrics from both applications underlying resources enhanced observability troubleshooting 18 Documentation Collaboration Tools 19 Document every aspect setup including how-to guides architecture diagrams maintain this documentation centrally accessible tool Confluence Git wiki 20 Regular Reviews Feedback Loops 21 Schedule regular reviews feedback loops discuss improvements potential optimizations keep evolving align business needs

Tools Selection & Setup

Define IaC Standards & Convention Establish coding standards, file structure conventions, module design patterns, etc., for consistency across codebases. Version Control Integration: Set up repositories in GitHub or another version control system specifically for infrastructure code. Environment Segregation: Use workspaces in Terraform or environment configurations in Terragrunt to manage different stages (dev/staging/prod). AWS provides a set of amazing services designed to rapidly and reliably build and deliver products using DevOps practices. Whether or not your DevOps practice can thrive entirely with AWS services is up to your personal and professional opinion. Below are some suggestions of tools we use to help run our AWS approved DevOps practice: - Version Control: Git, GitHub, Bitbucket, CodeCommit - Continuous Integration: Jenkins, Bamboo, - Configuration Management: Ansible, Chef, Puppet - Container Management: ECS, Kubernetes, Docker - AWS Automation: CloudFormation - Monitoring and Alerting: Cloudwatch, Site 24×7, Datadog, New Relic - Best practices, Security & Compliance, Resource Inventory, Cost Management: CloudCheckr - Service Desk & Operations: Jira, Slack - Documentation: Confluence

Source Control : GitHub/GitLab

Continuous Integration : Jenkins/CircleCI

Configuration Management : Ansible/Chef/Puppet

Containerization : Docker/Kubernetes

Monitoring & Logging : Splunk/New Relic/DataDog

Security & Compliance, Resource Inventory, Cost Management: CloudCheckr

Service Desk & Operations: Jira, Slack

Terraform/Terragruant/Moduels

Version Control

Modularity

Testing

Documentation

Reference Architecture

Develop reference architectures that can serve as templates for common deployment scenarios within AWS.

formal project plan

Phase 1: Foundational Infrastructure & Platform Accounts, OUs, VPCs, Subnets, DNS, IAM, etc Phase 2: Foundational Release Engineering CI/CD, Preview Environments, automated deployments/rollbacks Phase 3:Foundational Security & Compliance BeyondCorp/Zero Trust, Teleport, WAF, SecurityHub, GuardDuty, etc. Phase 4: Foundational SRE Monitoring foundation, log aggregation, escalations

comprehensive documentation

building blocks you need from the industry's largest library of reusable modules and components for AWS

PipelinesCI/CD

Incorporate security scanning

Incorporate security scanning into pipelines early on (shift-left approach) with tools like Snyk or OWASP Dependency Check.

Tool like Jenkins

Pipeline as Code

Use Plugins

Configuration Management

Ansible

Use roles for organizing playbooks by functionality which makes them easier to reuse and maintain. Keep inventory files dynamic if possible; this allows scalability without manual updates when infrastructure changes occur.

Containerization Technologies

Like Docker

Serverless Computing Services

Like AWS Lambda

event-driven architectures where functions execute in response to triggers such as HTTP requests via API Gateway or message queue events.

Log Management Solutions

Establish robust logging conventions across all services/applications Ensure logs are structured well enough (e.g., JSON format) so they're easily parsed by Splunk

Splunk

4 Layers Infrastructure

Foundational Infrastructure VPC- Master Account - IAM architecure - DNS integration Platfrom - WAD IAM -EKS Shared Servicess Your Application

full platform engineer

Must Agree