Recovery architecture built around your workload and business priorities.
Regional outages happen. AWS has had them. So has GCP. So has Azure. The question is not whether your infrastructure will face a failure event, it's whether your business survives one.
CirOps engineers cross-region warm-DR architecture on AWS, with recovery objectives, standby capacity, replication, runbooks, and exercises defined for the workload.
Recovery targets
Regional failover
Recovery evidence
Recovery exercises
Cost-aware
Warm-DR design
Cross-region
Warm standby
Why it matters
Downtime is not an edge case. It is a business risk.
Every platform team believes their stack is resilient, until a regional incident proves otherwise. AWS us-east-1, eu-west-1, ap-southeast-1: all have experienced degradation events that took services offline for hours. The companies that stayed up were the ones that planned for it.
For SaaS platforms, an unplanned outage of 90 minutes can mean churn conversations, SLA credits, and a support queue that takes days to clear.
For ecommerce operations, every minute of downtime is a direct, measurable revenue number. Peak trading windows, launches, promotions, seasonal spikes, are exactly when infrastructure is under maximum load and an incident causes maximum damage.
For health-tech and fintech, downtime is not just a revenue event. It is a compliance exposure. Availability commitments written into contracts and regulations cannot be waved away with a post-mortem.
DR is not IT insurance.
It is business continuity engineering, and it belongs in your architecture from the start, not bolted on after an incident.
The "it won't happen to us" calculation gets more expensive every year as your user base grows, your SLAs tighten, and your infrastructure complexity increases.
What we deliver
End-to-end DR architecture, built, tested, and operated by us.
Cross-region warm-DR architecture
We design and deploy standby infrastructure in a secondary AWS region around recovery objectives defined for the workload and validated through exercises. The warm-DR pattern, standby capacity, and replication approach follow the workload dependencies and business priorities.
Automated failover with documented runbooks
Every DR engagement ships with complete, AI-assisted runbooks covering the failover decision process, execution steps, communication protocols, and rollback procedures. These are not generic templates - they are specific to your architecture, written and validated against your actual infrastructure.
Regular failover testing on a defined cadence
We test the DR plan on a schedule agreed during the engagement. Exercises measure actual recovery behaviour against RTO and RPO targets, document gaps, and assign follow-up actions.
Ongoing monitoring and DR health checks
Where ongoing coverage is included, we monitor agreed signals across the primary and DR environments, including replication lag, cross-region latency, and health-check status. Response and remediation follow the signed coverage and escalation model.
The numbers
How recovery readiness is evaluated
Recovery targets
Regional failover time
Defined against workload criticality, dependencies, and the agreed recovery plan.
Cost-aware
Warm-DR design
Standby resources are sized around the agreed recovery objectives rather than copied blindly from the primary region.
Evidence
documented recovery exercises
Exercises capture what was tested, the result, and any follow-up work needed to improve readiness.
Measured
exercise results
Each deployment includes workload-specific failover exercises, measured recovery results, and documented follow-up actions.
How we work
From assessment to operational resilience, a four-step engagement.
DR Assessment
We begin by understanding your current architecture, your RTO and RPO requirements, your compliance obligations, and your tolerance for complexity and cost. We map every dependency that would affect a failover event. The assessment produces a clear picture of your current DR posture and the gaps we need to close.
Architecture Design
We design the cross-region warm-DR architecture specific to your workload: secondary region selection, replication strategy, standby resource sizing, networking and routing configuration, failover trigger criteria, and the decision framework for when and how to invoke DR. Design is documented in full before implementation begins.
Implementation
We build the DR environment using infrastructure-as-code (Terraform or CloudFormation), configure continuous replication, set up monitoring and alerting across both regions, and execute an initial failover test to validate that the architecture performs to spec before we hand it to operations.
Ongoing Testing and Monitoring
Ongoing testing, monitoring, runbook maintenance, and incident response are delivered only within the agreed service coverage. The cadence and responsibilities are documented for the workload.
Free resource
How resilient is your current DR posture?
The answer should be documented and tested before an incident. The CirOps DR Readiness Scorecard is a 5-minute self-assessment that maps your current recovery architecture against the criteria that influence recovery readiness under pressure.
Walk away with a score across five dimensions, replication, failover automation, testing cadence, runbook quality, and monitoring coverage, and a prioritized shortlist of what to fix first.
Get the DR Readiness Scorecard →In production
Recovery readiness requires exercised evidence.
Each DR engagement defines the recovery scope, documents the decision path, and records exercise results against the agreed objectives. Unpublished customer examples are available for qualified discussions where confidentiality permits.
SaaS platform, multi-region deployment
Cross-region warm-DR architecture implemented on AWS, covering primary application, database layer, and authentication services. Regular recovery exercises measure the agreed objectives, document results, and identify improvements.
AI-augmented operations
AI-assisted recovery analysis, with engineer review.
CirOps engineers use AI-assisted workflows in current DR delivery. In DR operations, this means:
Anomaly detection before they become failover events. AI-assisted monitoring can flag replication lag, cross-region latency drift, and health-check degradation for engineer review against the agreed thresholds.
AI-assisted runbook generation. Every DR engagement produces runbooks that are complete, current, and machine-readable. AI assistance means documentation is generated from actual infrastructure state, not written from memory after deployment.
Improved failover trigger accuracy. AI assistance helps organize monitoring evidence during incident triage. The authorized incident team makes the failover decision using the documented criteria and current workload state.
Frequently asked questions
Find out exactly where your DR posture stands, at no cost.
The No-cost Cloud Architecture Review covers your current infrastructure, your recovery architecture, and the gaps between where you are and where you need to be. Walk away with a clear picture, no obligation, no pitch, just an honest assessment from engineers who have built and tested DR in production.