Diagramming Tool
Data Visualization
Retrospective Tool
Mindmapping Tool
Agile and Scrum Support
Animate Connectors
Smart Goal Setting
Strategic Planning Tool
Project and Task Management
Prototyping and Wireframming
Customizable Icons and Ilustrations
Brainstrom and Ideation
Online Whiteboard
UX Design Maker
Automated Diagram Generation
Version Control
Product Development Software
Online Sticky Notes
Al Powered Diagrams
Scrum Tool
Network Diagram Maker
Flowchart Maker
Circuit Diagram Maker
ER Diagrams
Venn Diagram Maker
Architecture Diagram Maker
Vision Board maker
Design Canvas
UML Diagram Maker
PI Planning Tool
Graphs
Wiring Diagram Maker
Tree Diagram
Kanban Board
When a regional failure occurs, all of the Availability Zones (AZs) in that region are unavailable. However, if a workload is configured for high availability between AZs, it can continue to operate even if one AZ fails.
Under the AWS Shared Responsibility Model, AWS is responsible for the underlying hardware and infrastructure maintenance. However, it is the customer’s responsibility to ensure that their Cloud configuration provides resiliency against a partial or total failure.
To achieve this, businesses need to architect their workloads for resiliency. Resiliency is the ability of a workload to recover from infrastructure, service, or application disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions, such as misconfigurations or transient network issues.
There are several ways to architect for resiliency, including:
✅Distributing workloads across multiple AZs
✅Using fault-tolerant services
✅Implementing disaster recovery plans
✅Monitoring and alerting for potential problems
By architecting resilience, businesses can protect their data and applications from unexpected outages and keep their operations running smoothly.
When a regional failure occurs, all of the Availability Zones (AZs) in that region are unavailable. However, if a workload is configured for high availability between AZs, it can continue to operate even if one AZ fails.
Under the AWS Shared Responsibility Model, AWS is responsible for the underlying hardware and infrastructure maintenance. However, it is the customer’s responsibility to ensure that their Cloud configuration provides resiliency against a partial or total failure.
To achieve this, businesses need to architect their workloads for resiliency. Resiliency is the ability of a workload to recover from infrastructure, service, or application disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions, such as misconfigurations or transient network issues.
There are several ways to architect for resiliency, including:
✅Distributing workloads across multiple AZs
✅Using fault-tolerant services
✅Implementing disaster recovery plans
✅Monitoring and alerting for potential problems
By architecting resilience, businesses can protect their data and applications from unexpected outages and keep their operations running smoothly.
Blog 17 – Protecting Data and Complying
Disasters can be strike at any time and cause serious, widespread outages that affect an organization’s ability to run its workloads.
AWS may be using your data to train its AI models, and you may have unwittingly consented to it. Prepare to jump through a series of complex hoops to stop it.