Comprehensive Aerospike on Kubernetes Services
From AKO operator deployment to production monitoring, we provide end-to-end Aerospike on Kubernetes solutions for real-time workloads.
- AKO installation and CRD setup
- AerospikeCluster custom resource configuration
- RBAC and service account setup
- Operator upgrade and version management
- Helm chart customization and values tuning
- Chart versioning and release management
- Multi-environment chart configurations
- GitOps integration with ArgoCD/Flux
- Rack awareness with zone topology
- Namespace and set configuration
- Rolling restart and upgrade orchestration
- Cluster scaling and rebalancing
- Hybrid memory (RAM index + SSD data)
- PVC provisioning and storage classes
- Local NVMe and cloud SSD configuration
- Data-in-memory and data-on-device tuning
- Aerospike Prometheus Exporter setup
- Grafana dashboard deployment
- Alertmanager rule configuration
- Namespace and node health monitoring
- asbackup/asrestore on Kubernetes
- CronJob-based scheduled backups
- Object storage integration (S3, GCS)
- XDR cross-datacenter replication
Why Choose Aerospike on Kubernetes?
Aerospike on Kubernetes combines predictable low latency and hybrid memory architecture with cloud-native orchestration for real-time applications at scale.
Hybrid Memory Architecture
Aerospike's unique hybrid memory engine stores indexes in RAM while data resides on SSDs, delivering in-memory speed at flash storage cost. On Kubernetes, this maps to PVCs backed by high-performance storage classes.
Predictable Low Latency
Sub-millisecond read and write latency at the 99th percentile, even under heavy load. Aerospike's optimized storage engine and parallelized I/O ensure consistent performance on Kubernetes pods.
Cross-Datacenter Replication
Aerospike XDR (Cross-Datacenter Replication) provides asynchronous replication between Kubernetes clusters across regions or clouds, enabling active-active geo-distribution and disaster recovery.
Cloud-Native Auto-Scaling
Scale Aerospike clusters horizontally on Kubernetes by adding pods. The AKO operator handles data migration and rebalancing automatically, with support for HPA and cluster autoscaler integration.
Aerospike on K8s Key Metrics
Our Aerospike on Kubernetes Implementation Process
A proven methodology for deploying production-ready Aerospike clusters on Kubernetes with comprehensive testing and validation.
Assessment & Planning
Analyze workload characteristics, data model, latency requirements, and infrastructure. Design cluster topology, storage classes, rack awareness mapping, and namespace configuration.
Operator & Cluster Deployment
Install the AKO operator, configure AerospikeCluster CRDs, provision storage, and deploy the cluster with Helm charts. Set up RBAC, network policies, and secrets management.
Integration & Validation
Connect applications, validate client configurations, run performance benchmarks, test failover and recovery scenarios, and verify rack-aware replica distribution.
Production & Observability
Go live with full monitoring stack (Prometheus, Grafana), alerting rules, backup CronJobs, XDR replication, and runbooks. Provide training and ongoing 24/7 support.
Aerospike on Kubernetes — Frequently Asked Questions
Common questions about deploying and managing Aerospike on Kubernetes.