DevOps & Cloud
High Availability
Redundancy patterns that keep critical services available through common failures.
High availability engineering for systems that cannot rely on a single host or single point of failure. We design redundancy for compute, data, and traffic layers with explicit failure domains—and we validate failover paths instead of assuming they work.
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Who it’s for
- • Teams running revenue-critical or telephony-critical systems
- • Platform leads reducing single-host risk
- • Companies preparing for stricter uptime expectations
Problems we address
- • Critical services still run as single instances
- • Failover exists on paper but has never been rehearsed
- • Data layer HA was deferred until after an outage
Expected outcomes
- • Redundant service topologies with clear failure domains
- • Health checks and automated or rehearsed failover
- • Data replication patterns matched to consistency needs
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
HA topology design for apps and data
Multi-AZ or multi-node patterns
Failover testing and game days
Load balancer health check tuning
Documentation of degraded-mode behavior
Technology
Representative technologies used for this service. Final stack depends on your estate.
- Load balancers
- Kubernetes
- Postgres replication
- Keepalived
- AWS ALB/NLB
- DNS failover
Architecture
Delivery pipeline
Source control through CI into containerized deploy and cloud runtime.
Deliverables
- • HA design for scoped systems
- • Implemented redundancy as agreed
- • Failover test results
- • Operator runbooks for failover and failback
Out of scope
- • Contractual uptime credits from cloud vendors
Timeline
Typical timeline
3–10 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
We design toward your availability goals and remove known single points of failure. Published SLA percentages also depend on your cloud provider and operational response.
Depends on data consistency, cost, and traffic shape. We recommend the simplest pattern that meets the availability need.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.