Cloudain LogoCloudainInnovation Hub
Cloudain Standards

Cloud Resilience

Design for failure, recover fast. Cloudain engineers for high availability, graceful degradation, and disaster recovery—validated by chaos testing and measured by SLOs.

SLIs/SLOs & Error Budgets
RTO & RPO Targets
Multi‑AZ / Zonal Redundancy
Multi‑Region & Failover
Backups & Point‑in‑Time Restore
Chaos Engineering
Traffic Management & Health Checks
Auto‑healing & Autoscaling
Runbooks & GameDays
SLIs/SLOs & Error Budgets
RTO & RPO Targets
Multi‑AZ / Zonal Redundancy
Multi‑Region & Failover
Backups & Point‑in‑Time Restore
Chaos Engineering
Traffic Management & Health Checks
Auto‑healing & Autoscaling
Runbooks & GameDays
SLIs/SLOs & Error Budgets
RTO & RPO Targets
Multi‑AZ / Zonal Redundancy
Multi‑Region & Failover
Backups & Point‑in‑Time Restore
Chaos Engineering
Traffic Management & Health Checks
Auto‑healing & Autoscaling
Runbooks & GameDays

What is Cloud Resilience?

Resilience is the ability to withstand failures, recover quickly, and maintain business continuity. We architect for redundancy, test failure modes regularly, and operationalize response with clear SLOs and runbooks.

  • Failure domain isolation (zone/region/service)
  • Tested DR with recovery objectives met
  • Observability tied to user experience

Tooling we standardize

AWS: Route 53, ALB/NLB, ASG, EKS/ECS, AWS Backup, DRS, CloudWatch
Azure: Front Door/Traffic Manager, VMSS, AKS, ASR, Backup, Monitor
GCP: Cloud LB, MIGs, GKE, Cloud DNS, Backup/DR, Cloud Monitoring
Data: PITR (RDS/Dynamo/Cloud SQL), snapshots, versioning, Geo‑replication

Multi‑cloud support with AWS as primary.

How we engineer resilience

From objectives to evidence: define, design, implement, validate, and improve.

Define (SLOs, RTO/RPO)

  • Tier critical services, set availability goals, error budgets
  • Define Recovery Time & Recovery Point Objectives
  • Map user journeys to SLIs (latency, errors, saturation)

Design (Redundancy)

  • Multi‑AZ defaults; multi‑region where justified
  • State strategies: read replicas, global tables, async replication
  • Traffic steering, circuit breakers, graceful degradation

Implement (Auto‑healing)

  • Health checks, autoscaling, self‑healing controllers
  • Immutable infra and blue/green failover units
  • Automated backups, lifecycle & retention policies

Validate (DR Tests)

  • GameDay scenarios; region evacuation drills
  • Restore tests: snapshots, PITR, cross‑region copy
  • Runbooks verified; RTO/RPO measured

Operate (SRE)

  • Alert on user‑centric SLIs and error budget burn
  • Capacity planning; chaos on‑call within bounds
  • Telemetry pipelines with roll‑up dashboards

Improve (Post‑incident)

  • Blameless postmortems and action tracking
  • Control hardening; regression tests added
  • Cost‑aware resilience tuning

Traffic & HA

Route 53 health checks, ALB/NLB, ASG warm pools, multi‑AZ databases.

State & DR

RDS Multi‑AZ & cross‑region read replicas, DynamoDB global tables, Aurora Global DB.

Backups & Restore

AWS Backup policies, EBS/EFS snapshots, DynamoDB PITR, S3 versioning & replication.

Validation

SSM automation for failover drills; CloudWatch alarms & synthetic checks.

Measurable outcomes

Availability %

Monthly/quarterly availability per service vs. target SLO.

Time to failover

Mean time to detect (MTTD) and execute failover (TTF).

Restore success

Backup coverage %, restore success rate, and mean restore time.

Error budget burn

Burn rate alerts & incidents per quarter within thresholds.

Prove resilience with real drills

We design your HA/DR, run failover exercises, and deliver dashboards that prove readiness.