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Prove Your Recovery,
Before You Need It.

Downtime costs money for every hour it lasts, and anything written since your last good backup is gone. Most teams cannot say how many hours or how much data, because the recovery plan has never been run.

Untested backups fail when you need them. A single-Region estate has no answer when that Region degrades, and an unrehearsed rollback turns a planned migration into an unplanned outage.

Do you know how long you would be down? ๐Ÿ›ก

Cloud Life Consulting establishes your recovery targets with you, and delivers the architecture to meet them. We are a hands-on engineering team, so where we find a resilience problem we remediate it.

Every change lands as infrastructure as code in your repository, and nothing is signed off on configuration alone. Failover, restore and rollback are each exercised with your engineers present.

Start With Your Recovery Targets

Talk to us ๐Ÿ‘‹

What can you expect?

We work to the two frameworks AWS publishes for resilience.

One describes the lifecycle a resilient application moves through. The other describes what resilient actually means, and the ways it stops being true. Between them they cover what to build, how to prove it, and how to keep it true after we leave.

The lifecycle, and where our phases sit

AWS describes resilience as an application's ability to resist a disruption or recover from one, whether that disruption comes from infrastructure, a dependency, a misconfiguration or the network. Reaching any given level of it costs something in engineering effort, operational complexity and monthly spend, so the lifecycle starts by deciding how much you need.

1
Set objectives
Decide how much resilience each application actually needs, and how you will measure it.
Plan
2
Design and implement
Anticipate the failure modes, then make the architecture and code choices that hold against them.
Action
3
Evaluate and test
Prove the design behaves the way it was meant to, before and after it reaches production.
Test
4
Operate
Run it with the observability, on-call and runbooks that keep the objectives being met.
Handoff
5
Respond and learn
Write up what happened after a real event, without blame, and feed it back into the next round.
Handoff

What resilient means

Five properties a resilient workload has, and five ways it loses them.

A workload can be fully redundant and still be slow, wrong, or able to take its neighbours down with it. Redundancy is the property most resilience work stops at. We work through all five.

Redundancy
No single component can stop the system.
Sufficient capacity
Enough throughput, storage and service quota to do the job under load.
Timely output
The system answers inside the time your users expect.
Correct output
The answer it gives is the right one.
Fault isolation
A failure stays inside the boundary it started in.

Not every workload deserves the same answer

A business impact analysis puts a number on what an hour of impairment costs each application, and those numbers are never level. An order path that stops taking revenue and an internal page that irritates people are different problems. Protecting them identically overspends on one and leaves the other exposed. We do that analysis before the architecture conversation, so the investment lands where the exposure actually is.

It drifts, so it needs a cadence

An application that met its objectives last year may not meet them now. Dependencies change, traffic grows, somebody adds a component, a service quota moves. The lifecycle is built to run continuously, which in practice means periodic Well-Architected reviews, an Operational Readiness Review before anything significant ships, the failure analysis re-run on a schedule, and a blameless write-up after every real event that feeds the next round. That cadence is what we hand to your team in the final phase.

How an engagement runs

Four phases. Scope is agreed with you.

Few customers need every area and some are not ready for all of them, so we agree what applies before any work starts.

1
Plan
What we work out before anything is built.
Failure mode analysis
Your critical user stories broken into code and config, infrastructure, data stores and dependencies. Failure modes identified against the five AWS categories, scored on likelihood and impact.
Recovery objectives and the cost of downtime
We model what an hour of downtime costs and what an hour of lost data costs, then work backwards to an RTO and RPO the business can defend.
Architecture review
Single points of failure across compute, data and network. Multi-AZ posture for RDS, Aurora, ECS, EKS and load-balanced tiers. AWS Resilience Hub scored against your targets.
Data retention policy
How long backups are kept and how often they are taken, decided against the recovery objective and the cost of holding it.
2
Action
The changes we make and the things we build.
Architecture changes
Single points of failure removed. Multi-AZ conversion, redundancy added where a component has none, and rework so recovery needs no control plane call.
Disaster recovery and backup
Backup and restore, pilot light, warm standby or multi-site active/active, priced against your targets and then built. Replication through AWS Elastic Disaster Recovery, S3 Cross-Region Replication, Aurora Global Database or DynamoDB global tables.
Observability and alerting
Leading and lagging indicators, CloudWatch alarms, Synthetics canaries and the AWS Health Dashboard wired into your operations view. Gray failure detection for when a health check reports green and the workload has stopped.
Application changes
Retries with idempotency, timeouts, circuit breakers and graceful degradation. Emergency levers built. Deployment with automated rollback.
3
Test
Every mitigation is a hypothesis until it has been run.
Failover and restore testing
Failover executed and timed against your target. Restore executed end to end, including one asset from the coldest storage tier.
Game day
Scripted failure experiments through AWS Fault Injection Service, from a library of fifty scenarios, run with your engineers. What the experiments break, we fix.
Load and latency testing
For workloads with a spike pattern. Latency objectives at P50 and P99, rate limiting and load shedding, Service Quotas headroom alarmed before a limit is reached.
4
Handoff
What your team owns when we leave.
Runbooks, readiness and cadence
DR activation runbooks written from the rehearsal. An Operational Readiness Review with a RACI, escalation path and SLI and SLO definitions. A drill cadence your team runs.

Buy it through AWS Marketplace

Resilience & Disaster Recovery on AWS | Cloud Life Consulting
Professional services ยท Implementation ยท Backup & Recovery ยท Cloud Governance

The engagement bills against your existing AWS agreement and draws down your committed spend. Pricing is based on your requirements and eligibility, so scope depends on the size of the estate, the number of workloads in scope and what has to be tested.

What you end up with

Agreed recovery targets
Two numbers for every workload in scope: how long until it is running again, and how much recent work would be lost. Plus a ranked register of the ways it can fail.
A resilient architecture, running
Systems spread across more than one physical data centre location, with a standby copy of the critical ones elsewhere in the world.
Protected data you can recover
Backups that cannot be deleted, even by someone with a stolen administrator password, restored in front of you and timed.
Proof it works
Failure tests run against your systems with the results recorded, and monitoring that catches a system slowing or quietly producing the wrong answer.
Runbooks and a drill schedule
Recovery steps written from the rehearsals your team ran, and a schedule for repeating them.
Talk to us ๐Ÿ‘‹
sales@cloudlife.io ยท cloudlife.io
We contact any enquiry within one business day.

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