- ▸ Cluster cohesion failing after restart - Heartbeat takes 90+ seconds to re-establish; clients hit
CLUSTER_KEY_MISMATCHerrors during the gap. - ▸ XDR active-active write conflict - Same key written in both regions within the XDR conflict window; LWW based on system time means you lost the update from the slower clock.
- ▸ Namespace protection is blocking writes - Durable-delete tombstones, storage use, free write blocks, or index-memory pressure are interacting with version-specific eviction and stop-writes thresholds.
JusDB DBREs map failure domains, design recovery paths, and test the playbook against agreed objectives. Book an HA architecture review →
Aerospike High Availability & Recovery Engineering
In short: Aerospike high availability combines replica placement, rack-aware failure domains, namespace consistency, cluster-aware client behavior, capacity, maintenance, backup, and recovery testing. XDR adds inter-cluster replication, but application traffic failover, convergence, conflict behavior, and failback still require separate design and evidence.
Turn an availability objective into topology, operating procedures, client behavior, monitoring, and measured failure tests. The resulting RTO, RPO, and availability evidence is specific to your workload and dependencies.
Aerospike HA Capabilities
Product capabilities and operational controls that must be assembled and tested for the intended failure model
- Workload- and topology-specific replication factor
- Automatic data rebalancing
- Rack-aware replica placement where supported
- Cluster-aware client recovery testing
- Active-active configuration
- Conflict resolution policies
- Selective namespace replication
- Bandwidth-efficient shipping
- Global data distribution
- Regional read optimization
- Application traffic failover design
- Data-residency requirement mapping
- Direct node communication
- Automatic retry logic
- Connection pooling
- Partition-aware routing
High Availability Services
Comprehensive HA services to build and maintain resilient Aerospike infrastructure
- Replication factor optimization
- Network topology design
- Storage redundancy planning
- Rack awareness configuration
- XDR topology design
- Conflict resolution policies
- Shipping thread optimization
- Compression configuration
- RTO/RPO analysis
- Failover procedure documentation
- Recovery testing and drills
- Backup strategy design
- Planned failover drills
- Recovery time measurement
- Procedure validation
- Gap identification
- SC mode configuration
- Roster management
- Write policy optimization
- Consistency trade-offs analysis
- Cluster health monitoring
- Replication lag tracking
- Node failure detection
- Capacity threshold alerts
HA Deployment Patterns
Common deployment patterns whose suitability depends on consistency, workload, failure domains, and recovery objectives
Single Datacenter HA
High availability within a single datacenter with rack awareness
Architecture:
- Node count and replication factor from failure requirements
- Rack-aware data placement
- Cluster-aware client seed and retry design
Active-Passive DR
Primary datacenter with standby DR site using XDR
Architecture:
- Primary cluster (active)
- DR cluster (passive)
- XDR unidirectional shipping
- Manual failover procedures
Active-Active Multi-Region
Multiple active datacenters with bidirectional XDR replication
Architecture:
- Multiple active clusters
- Bidirectional XDR
- Conflict resolution policies
- Global traffic routing
Hybrid Cloud HA
On-premises cluster with cloud-based DR site
Architecture:
- On-premises primary cluster
- Cloud DR cluster (AWS/GCP/Azure)
- Secure XDR over VPN
- Application and network failover runbook
Aerospike failure scenarios and required evidence
Common designs, failure questions, and validation evidence—not attributed client outcomes.
Challenge:
An active-active design needs explicit conflict, routing, backlog, and regional recovery behavior.
Design focus:
Model local-cluster availability separately from asynchronous XDR, then test application traffic failover and failback.
Required evidence:
- XDR lag and backlog recovery
- Conflict and delete behavior
- Client and traffic-routing recovery
- Regional failback criteria
Challenge:
Strong Consistency, durable deletes, roster operations, application retries, and DR must be designed together.
Design focus:
Validate SC namespace and client semantics, rack placement, maintenance workflows, backup, and a separate XDR recovery plan.
Required evidence:
- Roster and partition-state checks
- Read and commit policy tests
- Node and network failure drills
- Measured recovery and data-risk boundary
Challenge:
TTL-heavy state needs predictable local recovery and explicit behavior when regions accept concurrent writes.
Design focus:
Define namespace TTL and storage policy, XDR topology, conflict semantics, regional routing, and capacity during backlog recovery.
Required evidence:
- TTL and delete convergence
- Region-loss application behavior
- Backlog resource headroom
- Runbook and ownership validation
Common Aerospike HA & XDR questions
Common questions about Aerospike high availability solutions
What uptime SLA can Aerospike achieve?
Aerospike does not create a universal uptime SLA by itself. Achievable availability depends on topology, replication factor, rack placement, consistency mode, client policies, capacity, maintenance, dependencies, operator response, and the failures included in the objective. We map the requested SLO to evidence and identify which failure modes remain outside it.
How does Aerospike XDR work for disaster recovery?
Aerospike XDR (Cross-Datacenter Replication) asynchronously replicates data between geographically distributed clusters. It supports active-active configurations, customizable conflict resolution policies (based on generation, last-update-time, or custom logic), and can maintain data consistency across multiple regions for disaster recovery and global data distribution.
Can Aerospike maintain sub-millisecond latency with HA?
It can meet demanding latency objectives for suitable workloads, but no threshold should be assumed. Replication, Strong Consistency, rack and network layout, storage, migrations, client retries, and failure recovery can change tail latency. We test the chosen topology under representative normal, maintenance, and failure conditions.
What is the difference between replication and XDR?
Replication is synchronous data copying within a single cluster for fault tolerance. XDR (Cross-Datacenter Replication) is asynchronous replication between separate clusters, typically in different datacenters or regions, designed for disaster recovery and global data distribution.
How do you handle split-brain scenarios?
For Strong Consistency namespaces, roster and partition state are central to safe operation during membership and network changes. Available-mode namespaces have different availability and conflict behavior. XDR is inter-cluster replication with its own convergence rules, so it must not be described as the same split-brain control as an SC roster.
What is the recommended replication factor?
There is no one replication factor for every production cluster. It must be chosen with node and rack count, edition, namespace mode, failure tolerance, capacity overhead, maintenance, and performance. We verify that the topology can place replicas across intended failure domains and test the loss scenarios behind the requirement.
How do you test disaster recovery procedures?
A DR test has explicit preconditions, safety controls, observers, data-risk boundaries, rollback, and success criteria. It exercises application routing, XDR or restore behavior, credentials, dependencies, communications, recovery measurement, and failback. The resulting RTO and RPO are evidence from that topology and drill, not generic product promises.
Related Aerospike Services
Comprehensive Aerospike database solutions
Need an Aerospike availability design you can test?
Map the availability objective to failure domains, namespace semantics, clients, XDR, backup, procedures, observability, ownership, and a safe test plan.
Drill results, observed RTO/RPO, data-risk boundaries, gaps, and follow-up actions are documented.
Aerospike availability, consistency, and recovery sources
Review scope: Replication factor, rack awareness, client behavior, consistency mode, XDR, failure domains, backup, failover, and recovery testing. Guidance is checked against primary documentation; service scope, response targets, timelines, and outcomes remain workload-, topology-, version-, edition-, and contract-specific.
Technically reviewed by the JusDB Database Reliability Engineering team. Last reviewed: . See the team and roles.
- Rack awareness
Official rack and availability-zone failure-domain behavior for namespace replicas.
- Configure strong consistency
Roster, replication-factor, expiration, and version-specific configuration requirements for SC namespaces.
- Cross-datacenter replication
XDR topology and convergence behavior that must be separated from intra-cluster availability guarantees.
Related Aerospike Services
Explore related Aerospike Database Reliability Engineering services without mixing each page's intent.
Aerospike Consulting
Workload fit, data modeling, architecture, consistency, XDR, capacity, and decision records
Aerospike Support
Plan-defined incident diagnosis, escalation, recovery assistance, and post-incident follow-through
Aerospike Migration
Validated migration from Cassandra, DynamoDB, Redis, or MongoDB with rehearsed cutover and rollback
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