Backup and restore
- Serving trafficNo
- Application serversNot provisioned
- Network and core servicesNot provisioned
- DataBackup copies
At disaster time: restore data from backups and provision the infrastructure from templates.
Independent cloud architecture reference
Subnet layout, account boundaries, connectivity and recovery posture cost almost nothing to get right on a whiteboard and a great deal to change once production depends on them. A practitioner’s reference to the trade-offs, and which one to take when.
Independent publication. AWS Networks is not affiliated with, sponsored by, or endorsed by Amazon Web Services, Inc. or Amazon.com, Inc. Nothing here is official AWS documentation. Read the full independence statement
Requests spread across AZ-A, AZ-B and AZ-C. The primary database in AZ-B replicates synchronously to a standby in AZ-A.
Recovery posture · across Regions
AWS describes four disaster-recovery strategies for losing a whole Region. They sit on one axis: the more of the recovery Region you keep running before a disaster, the less you have to build during one — and the more it costs you every month. Which rung is right depends on recovery objectives only you can defend.
At disaster time: restore data from backups and provision the infrastructure from templates.
At disaster time: start the application servers and scale up; the data is already there.
At disaster time: redirect traffic to the already-running stack, which can take reduced load at once, then scale it up to full capacity.
At disaster time: route traffic away from the failed Region; the other is already serving.
Illustration of the general pattern, drawn from AWS’s published disaster-recovery guidance — not a deployed customer environment. The drill shows how much recovery work each strategy still has to do, not how long it takes; no recovery times or prices are implied. This ladder compares Regions; the animation above compares Availability Zones inside one Region.
DR strategy starts with business-defined RTO/RPO numbers, not a technology pick — and an untested restore isn’t a plan.
A ranked method for cutting AWS spend: eliminate waste, rightsize, commit, then architect — in that order, not reverse.
Tell availability apart from durability, size HA to the failure you’re actually defending against, and skip multi-region when backups will do.
Assess the 7 Rs honestly, plan waves around dependencies, and know what actually breaks during cutover.
Decide when account separation beats VPC isolation, and how far to automate account vending before it becomes busywork.
What to configure before the first production workload goes live, ordered by what actually gets exploited first.
Planning tools
These run entirely in your browser. Nothing you type is sent anywhere, stored, or logged.
Divide a VPC CIDR across availability zones and tiers, with the five addresses AWS reserves in every subnet accounted for rather than ignored.
Enter the recovery objectives you can actually defend and see which of the four recovery patterns they imply — and what each one commits you to.
A structured pre-migration review across landing zone, networking, identity, data and operations, scored by section so the gaps are visible.
Method
Most AWS writing is either certification material or a vendor’s pitch wearing a technical costume. Both optimise for something other than your decision. This reference states the trade-off, names the condition under which each option is right, and says plainly where the answer depends on facts only you have.
Where a figure would change the recommendation — a price, a service limit, a failover time — it is cited against current AWS documentation or left out entirely, because a stale number in a reference is worse than no number. Nothing here is sponsored, and no service is recommended because of a commercial relationship.