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# AWS Architecting & Ecosystem
- [AWS Architecting & Ecosystem](#aws-architecting--ecosystem)
- [Well Architected Framework General Guiding Principles](#well-architected-framework-general-guiding-principles)
- [AWS Cloud Best Practices - Design Principles](#aws-cloud-best-practices---design-principles)
- [Well Architected Framework 6 Pillars](#well-architected-framework-6-pillars)
- [1. Operational Excellence](#1-operational-excellence)
- [2. Security](#2-security)
- [3. Reliability](#3-reliability)
- [4. Performance Efficiency](#4-performance-efficiency)
- [5. Cost Optimization](#5-cost-optimization)
- [6. Sustainability](#6-sustainability)
- [AWS Well-Architected Tool](#aws-well-architected-tool)
- [AWS Right Sizing](#aws-right-sizing)
- [AWS Ecosystem - Free resources](#aws-ecosystem---free-resources)
- [AWS Ecosystem - AWS Support](#aws-ecosystem---aws-support)
- [AWS Marketplace](#aws-marketplace)
## Well Architected Framework General Guiding Principles
- Stop guessing your capacity needs
- Test systems at production scale
- Automate to make architectural experimentation easier
- Allow for evolutionary architectures
- Design based on changing requirements
- Drive architectures using data
- Improve through game days
- Simulate applications for flash sale days
## AWS Cloud Best Practices - Design Principles
- **Scalability**: vertical & horizontal
- **Disposable Resources**: servers should be disposable & easily configured
- **Automation**: Serverless, Infrastructure as a Service, Auto Scaling…
- **Loose Coupling**:
- Monolith are applications that do more and more over time, become bigger
- Break it down into smaller, loosely coupled components
- A change or a failure in one component should not cascade to other components
- **Services, not Servers**:
- Don’t use just EC2
- Use managed services, databases, serverless, etc..
## Well Architected Framework 6 Pillars
1. Operational Excellence
2. Security
3. Reliability
4. Performance Efficiency
5. Cost Optimization
6. Sustainability
### 1. Operational Excellence
- Includes the ability to run and monitor systems to deliver business value and to continually improve supporting processes and procedures
- Design Principles
- **Perform operations as code** - Infrastructure as code
- **Annotate documentation** - Automate the creation of annotated documentation after every build
- **Make frequent, small, reversible changes** - So that in case of any failure, you can reverse it
- **Refine operations procedures frequently** - And ensure that team members are familiar with it
- **Anticipate failure**
- **Learn from all operational failures**
### 2. Security
- Includes the ability to protect information, systems, and assets while delivering business value through risk assessments and mitigation strategies
- Design Principles
- **Implement a strong identity foundation** - Centralize privilege management and reduce (or even eliminate) reliance on long-term credentials - Principle of least privilege - IAM
- **Enable traceability** - Integrate logs and metrics with systems to automatically respond and take action
- **Apply security at all layers** - Like edge network, VPC, subnet, load balancer, every instance, operating system, and application
- **Automate security best practices**
- **Protect data in transit and at rest** - Encryption, tokenization, and access control
- **Keep people away from data** - Reduce or eliminate the need for direct access or manual processing of data
- **Prepare for security events** - Run incident response simulations and use tools with automation to increase your speed for detection, investigation, and recovery
- **Shared Responsibility Mode**
### 3. Reliability
- Ability of a system to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions such as misconfigurations or transient network issues
- Design Principles
- Test recovery procedures - Use automation to simulate different failures or to recreate scenarios that led to failures before
- Automatically recover from failure - Anticipate and remediate failures before they occur
- Scale horizontally to increase aggregate system availability - Distribute requests across multiple, smaller resources to ensure that they don't share a common point of failure
- Stop guessing capacity - Maintain the optimal level to satisfy demand without over or under provisioning - Use Auto Scaling
- Manage change in automation - Use automation to make changes to infrastructure
### 4. Performance Efficiency
- Includes the ability to use computing resources efficiently to meet system requirements, and to maintain that efficiency as demand changes and technologies evolve
- Design Principles
- **Democratize advanced technologies** - Advance technologies become services and hence you can focus more on product development
- **Go global in minutes** - Easy deployment in multiple regions
- **Use serverless architectures** - Avoid burden of managing servers
- **Experiment more often** - Easy to carry out comparative testing
- **Mechanical sympathy** - Be aware of all AWS services
### 5. Cost Optimization
- Includes the ability to run systems to deliver business value at the lowest price point
- Design Principles
- **Adopt a consumption mode** - Pay only for what you use
- **Measure overall efficiency** - Use CloudWatch
- **Stop spending money on data center operations** - AWS does the infrastructure part and enables customer to focus on organization projects
- **Analyze and attribute expenditure** - Accurate identification of system usage and costs, helps measure return on investment (ROI) - Make sure to use tags
- **Use managed and application level services to reduce cost of ownership** - As managed services operate at cloud scale, they can offer a lower cost per transaction or service
### 6. Sustainability
- The sustainability pillar focuses on minimizing the environmental impacts of running cloud workloads.
- Design Principles
- **Understand your impact** – establish performance indicators, evaluate improvements
- **Establish sustainability goals** – Set long-term goals for each workload, model return on investment (ROI)
- **Maximize utilization** – Right size each workload to maximize the energy efficiency of the underlying hardware and minimize idle resources.
- **Anticipate and adopt new, more efficient hardware and software offerings** – and design for flexibility to adopt new technologies over time.
- **Use managed services** – Shared services reduce the amount of infrastructure; Managed services help automate sustainability best practices as moving infrequent accessed data to cold storage and adjusting compute capacity.
- **Reduce the downstream impact of your cloud workloads** – Reduce the amount of energy or resources required to use your services and reduce the need for your customers to upgrade their devices
## AWS Well-Architected Tool
- Free tool to **review your architectures** against the 6 pillars Well-Architected Framework and **adopt architectural best practices**
- How does it work?
- Select your workload and answer questions
- Review your answers against the 6 pillars
- Obtain advice: get videos and documentations, generate a report, see the results in a dashboard
- Let’s have a look: <https://console.aws.amazon.com/wellarchitected>
## AWS Right Sizing
- EC2 has many instance types, but choosing the most powerful instance type isn’t the best choice, because the cloud is elastic
- Right sizing is the process of matching instance types and sizes to your workload performance and capacity requirements at the lowest possible cost
- Scaling up is easy so always start small
- It’s also the process of looking at deployed instances and identifying opportunities to eliminate or downsize without compromising capacity or other requirements, which results in lower costs
- It’s important to Right Size…
- before a Cloud Migration
- continuously after the cloud onboarding process (requirements change over time)
- CloudWatch, Cost Explorer, Trusted Advisor, 3rd party tools can help
## AWS Ecosystem - Free resources
- AWS Blogs: <https://aws.amazon.com/blogs/aws/>
- AWS Forums (community): <https://forums.aws.amazon.com/index.jspa>
- AWS Whitepapers & Guides: <https://aws.amazon.com/whitepapers>
- AWS Quick Starts: <https://aws.amazon.com/quickstart/>
- Automated, gold-standard deployments in the AWS Cloud
- Build your production environment quickly with templates
- Example: WordPress on AWS <https://fwd.aws/P3yyv?did=qs_card&trk=qs_card>
- Leverages CloudFormation
- AWS Solutions: <https://aws.amazon.com/solutions/>
- Vetted Technology Solutions for the AWS Cloud
- Example - AWS Landing Zone: secure, multi-account AWS environment
- <https://aws.amazon.com/solutions/implementations/aws-landing-zone/>
- “Replaced” by AWS Control Tower
### AWS Ecosystem - AWS Support
| DEVELOPER | BUSINESS | ENTERPRISE |
| ------------------------------------------------------- | ------------------------------------------------------------- | --------------------------------------------------------------- |
| Business hours email access to Cloud Support Associates | 24x7 phone, email, and chat access to Cloud Support Engineers | Access to a Technical Account Manager (TAM) |
| General guidance: < 24 business hours | Production system impaired: < 4 hours | Concierge Support Team (for billing and account best practices) |
| System impaired: < 12 business hours | Production system down: < 1 hour | Business-critical system down: < 15 minutes |
## AWS Marketplace
- Digital catalog with thousands of software listings from **independent software vendors** (3rd party)
- Example:
- Custom AMI (custom OS, firewalls, technical solutions…)
- CloudFormation templates
- Software as a Service
- Containers
- If you buy through the AWS Marketplace, it goes into your AWS bill
- You can **sell your own solutions** on the AWS Marketplace

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# Other AWS Services
- [Other AWS Services](#other-aws-services)
- [Amazon WorkSpaces](#amazon-workspaces)
- [Amazon AppStream 2.0](#amazon-appstream-20)
- [Amazon Sumerian](#amazon-sumerian)
- [AWS IoT Core](#aws-iot-core)
- [Amazon Elastic Transcoder](#amazon-elastic-transcoder)
- [AWS Device Farm](#aws-device-farm)
- [AWS Backup](#aws-backup)
- [AWS Elastic Disaster Recovery (DRS)](#aws-elastic-disaster-recovery-drs)
- [AWS DataSync](#aws-datasync)
- [AWS Fault Injection Simulator (FIS)](#aws-fault-injection-simulator-fis)
## Amazon WorkSpaces
- Managed Desktop as a Service (DaaS) solution to easily provision Windows or Linux desktops
- Great to eliminate management of on-premise VDI (Virtual Desktop Infrastructure)
- Fast and quickly scalable to thousands of users
- Secured data – integrates with KMS
- Pay-as-you-go service with monthly or hourly rates
## Amazon AppStream 2.0
- Desktop Application Streaming Service
- Deliver to any computer, without acquiring, provisioning infrastructure
- The application is delivered from within a web browser
| Amazon AppStream 2.0 | WorkSpaces |
| -------------------------------------------------------------------------- | ---------------------------------------------------------------- |
| Stream a desktop application to web browsers (no need to connect to a VDI) | Fully managed VDI and desktop available |
| Works with any device (that has a web browser) | The users connect to the VDI and open native or WAM applications |
| Allow to configure an instance type per application type (CPU, RAM, GPU) | Workspaces are on-demand or always on |
## Amazon Sumerian
- Create and run virtual reality (VR), augmented reality (AR), and 3D applications
- Can be used to quickly create 3D models with animations
- Ready-to-use templates and assets - no programming or 3D expertise required
- Accessible via a web-browser URLs or on popular hardware for AR/VR
- Example: <https://docs.aws.amazon.com/sumerian/latest/userguide/gettingstartedshowcase.html>
## AWS IoT Core
- IoT stands for “Internet of Things” – the network of internet-connected devices that are able to collect and transfer data
- AWS IoT Core allows you to easily connect IoT devices to the AWS Cloud • Serverless, secure & scalable to billions of devices and trillions of messages
- Your applications can communicate with your devices even when they aren’t connected
- Integrates with a lot of AWS services (Lambda, S3, SageMaker, etc.)
- Build IoT applications that gather, process, analyze, and act on data
## Amazon Elastic Transcoder
- Elastic Transcoder is used to **convert media files stored in S3 into media files in the formats required by consumer playback devices (phones etc..)**
- Benefits:
- Easy to use
- Highly scalable – can handle large volumes of media files and large file sizes
- Cost effective – duration-based pricing model
- Fully managed & secure, pay for what you use
## AWS Device Farm
- Fully-managed service that tests your web and mobile apps against desktop browsers, real mobile devices, and tablets
- Run tests concurrently on multiple devices (speed up execution)
- Ability to configure device settings (GPS, language, Wi-Fi, Bluetooth, etc.)
## AWS Backup
- Fully-managed service to centrally manage and automate backups across AWS services
- On-demand and scheduled backups
- Supports PITR (Point-in-time Recovery)
- Retention Periods, Lifecycle Management, Backup Policies,etc.
- Cross-Region Backup
- Cross-Account Backup (using AWS Organizations)
## AWS Elastic Disaster Recovery (DRS)
- Used to be named “CloudEndure Disaster Recovery”
- Quickly and easily **recover** your physical, virtual, and cloud-based servers into AWS
- Example: protect your most critical databases (including Oracle, MySQL, and SQL Server), enterprise apps (SAP), protect your data from ransomware attacks, …
- Continuous block-level replication for your servers
## AWS DataSync
- Move large amount of data from on-premises to AWS
- Can synchronize to: Amazon S3 (any storage classes – including Glacier), Amazon EFS, Amazon FSx for Windows
- Replication tasks can be scheduled hourly, daily, weekly
- The replication tasks are incremental after the first full load
## AWS Fault Injection Simulator (FIS)
- A fully managed service for running fault injection experiments on AWS workloads
- Based on **Chaos Engineering** – stressing an application by creating disruptive events (e.g., sudden increase in CPU or memory), observing how the system responds, and implementing improvements
- Helps you uncover hidden bugs and performance bottlenecks
- Supports the following AWS services: EC2, ECS, EKS, RDS…
- Use pre-built templates that generate the desired disruptions