Running Aerospike at production scale?
- ▸ Hybrid Memory tuning — your sub-millisecond p99 latency target is sliding. The DRAM + SSD storage profile needs an audit against real working-set and write-amplification numbers.
- ▸ Hot-key contention — specific partitions throttle at peak load, even though namespace-level resources are unsaturated. Your namespace + set partitioning needs a review.
- ▸ XDR cross-DC replication — lag is climbing past SLA. The conflict-resolution policy is unclear. The multi-region cutover runbook hasn't been validated under load.
JusDB Aerospike specialists ship instrumented tuning runbooks for production clusters at scale. See Aerospike consulting →
Aerospike · Hybrid Memory · Smart Cluster · XDRAerospike, sub-millisecond at millions of TPS.
In short: Aerospike is a distributed, real-time NoSQL database. It stores key-value and document data using a Hybrid Memory Architecture. Indexes live in DRAM. Data sits on SSD via raw block access. That design gives predictable sub-millisecond latency at scale. Teams run it for fraud detection, ad-tech bidding, and gaming leaderboards.
We consult on high-performance NoSQL for real-time applications that need sub-millisecond latency. Our Aerospike work covers optimization and deployment.
JUSDB_AEROSPIKE_PRODAerospike 7 · hybrid-memory
Smart Cluster · 6 nodes · RF=2
0.00M
120µs
50.0%
RF=2 ✓
Cluster Throughput
0.00M TPS[OK] defrag: device /dev/nvme0n1 at 4.2% — block reclaim healthy
[INF] migration: partition rebalance complete, 4096/4096 stable
[OK] xdr: shipping to dc-eu lag 38ms, 0 retransmits
[INF] namespace user_data: high-water-mark 64% of 512G
Representative cluster view · illustrative metrics
0+
Aerospike Nodes Managed
0.99%
Uptime SLA
0M+
Peak TPS Sustained
0ms
Sub-ms p99 Latency
What we do
Aerospike engineering
Our Aerospike specialists tune, scale, and secure clusters for demanding real-time applications.
Latency Optimization
Achieve strict sub-millisecond latencies through Hybrid Memory tuning and SSD profiling.
Cluster Scaling & Sizing
Capacity planning and hot-resizing of Aerospike clusters for high-throughput peaks.
Aerospike Connect Integration
Stream data efficiently to Kafka, Spark, and Presto for downstream real-time analytics.
Enterprise Hardening
Configure Role-Based Access Control (RBAC), LDAP, and TLS/mTLS encryption for compliance.
Observability
Configure Prometheus exporters and Grafana for early detection of SSD wear and CPU bottlenecks.
Cross-DC Replication (XDR)
Configure XDR for multi-region failover and distributed edge-locality reads.
Which Aerospike service do you actually need?
Match the symptom you're seeing to the engagement that fixes it. If more than one row matches, start with consulting. It settles the architecture, and most other engagements depend on the topology being right.
| Symptom / situation | Right engagement | Why |
|---|---|---|
| Moving from DynamoDB / Cassandra / Redis to Aerospike | Aerospike Migration | Cutover playbook, dual-write topology, data-model translation, rollback gates. |
| Sub-millisecond p99 latency is sliding under load | Performance Tuning | Hybrid Memory + SSD storage profile audit, namespace tuning, hot-key remediation, write-amplification analysis. |
| Production cluster down or replication-lag incident | Aerospike Support | 24/7 incident response with SLA, root-cause analysis, post-mortem playbooks. |
| Multi-region active-active design / XDR cutover | High Availability | XDR cross-DC replication topology, conflict-resolution policy, region-failover runbook. |
| Ongoing operations — no in-house Aerospike DBA | Remote DBA | Dedicated DBA-as-a-service: monitoring, patching, capacity planning, query tuning. |
| Aerospike on Kubernetes / EKS / GKE | Aerospike on Kubernetes | Aerospike Kubernetes Operator (AKO), StatefulSet design, persistent storage class, multi-AZ topology. |
| Architecture decision before any code ships | Aerospike Consulting | Topology design, namespace + set strategy, hybrid memory sizing, DynamoDB / Cassandra comparison. |
Aerospike at a glance — what the leaves don't cover
Aerospike is a NoSQL key-value + document database built around Hybrid Memory Architecture. Indexes sit in DRAM. Data sits on SSD with raw block access, bypassing the filesystem. That single architectural choice is why Aerospike consistently delivers sub-millisecond p99 latency at scale. It holds that latency where Redis runs out of RAM budget and Cassandra chokes on GC pauses. So it becomes the database of record for real-time fraud detection, ad-tech bidstreams, gaming leaderboards, and telecom subscriber profiles. In those workloads the latency budget is measured in microseconds, and you cannot afford a stop-the-world GC.
Three trade-offs are worth knowing before you adopt it:
- ▸ Strong Consistency (SC) vs Available (AP) — the two modes have different semantics. The one you pick changes failover behaviour.
- ▸ XDR replication is always asynchronous — Cross-Datacenter Replication needs operational discipline to get right under load.
- ▸ Enterprise is rarely optional — XDR, RBAC, on-disk encryption, and Aerospike Connect for Kafka/Spark all ship in Aerospike Enterprise (paid). Production deployments end up needing them, so the "Community is enough" assumption rarely survives the first scaling event.
Hybrid-memory performance
Aerospike expertise
at microsecond latency
We tune defrag thresholds and size the primary index in DRAM. We profile SSD write-blocks and audit XDR ship throughput. The result is a cluster that holds sub-millisecond p99 under millions of transactions per second.
Cluster Performance
After tuning<1ms
p99 read latency
5M+
Transactions / sec
Real cases
Workloads we've transformed
1,800µs
210µs
Redis cache layer + separate datastore
The fix
Collapsed cache + store into Aerospike hybrid-memory — 1 hop, ~70% lower infra cost
9,400µs
340µs
Single hot key serializing writes
The fix
Sharded key + write-block tuning; p99 dropped below 0.5ms
6,200µs
180µs
Secondary-index query scanning SSD
The fix
Sized primary + secondary index fully in RAM; data on NVMe
0.00%
Cluster Uptime
0s
Rebalance Complete
0µs
p99 Read Latency
High availability
Always on. Shared-nothing.
Aerospike's Smart Cluster is shared-nothing, with no master. Partitions distribute themselves across nodes and rebalance on every membership change. XDR ships data cross-datacenter for multi-region failover. A lost node recovers in seconds on a topology architected for up to 99.999% availability.
Incident response
A latency P1, handled in under 15 minutes.
When defrag falls behind on NVMe, the write-block queue backs up. A named Aerospike engineer responds to that, not a ticket queue. Raising defrag thresholds and sprigs, then a rolling node restart, caught the cluster up with no downtime. A blameless postmortem followed.
p99 read latency 1.2ms → 28ms — namespace pressure
Named Aerospike engineer in under 15 min, not a queue
Defrag falling behind on NVMe; write-block queue backing up
Raised defrag-lwm-pct + sprigs; rolling node restart, no downtime
Defrag caught up, p99 28ms → 0.4ms — total 14 min
Pre-Migration Assessment
Redis / Cassandra / RDBMS → Aerospike
Cutover via dual-write + bulk loader: near-zero downtime
Migration
Move to Aerospike without the downtime
Redis, Cassandra, DynamoDB or an RDBMS → Aerospike. First we translate the data model and key mapping. Then we bulk-load with asbackup or the loader. Dual-write replication catches the new cluster up, and we cut over in a near-zero-downtime window.
Service catalogue
Specialized Aerospike Services
Aerospike engagements we run most often. Pick the one that matches the work in front of you.
Aerospike Consulting
Expert guidance on architecture, implementation, and best practices for your Aerospike deployment.
Performance Tuning
Optimize your Aerospike cluster for maximum throughput and minimum latency.
Aerospike Migration
Seamless migration to Aerospike from other databases with zero downtime.
Aerospike Support
24/7 expert support and maintenance for your mission-critical Aerospike systems.
High Availability
Design and implement highly available Aerospike architectures with automatic failover.
Remote DBA Services
Dedicated remote database administration for your Aerospike infrastructure.
Aerospike on Kubernetes
AKO operator deployment, StatefulSet design, persistent storage, and multi-AZ topology on EKS or GKE.
FAQ
Aerospike consulting & deployment — frequently asked questions
Common questions about Aerospike consulting services
What makes Aerospike different from other NoSQL databases?
Aerospike's hybrid memory architecture pairs DRAM with SSD storage. That is how it holds sub-millisecond latency at massive scale. Aerospike also supports two modes: Strong Consistency (SC) and high-availability (AP). You set the mode per namespace, so each dataset gets either linearizable consistency or maximum availability. That makes it a strong fit for real-time applications.
How do you ensure data consistency in Aerospike clusters?
We set up Aerospike's strong consistency model with clear conflict-resolution policies. Replica synchronization and read/write policies keep data integrity across nodes in the cluster. Where you need multi-region coverage, we add cross-datacenter replication (XDR) on top.
What's the typical performance improvement with Aerospike?
Most clients see 10-100x faster read/write operations. For those clients latency drops from hundreds of milliseconds to sub-millisecond levels. Throughput usually rises 5-20x. The exact gain depends on the use case and the database you are moving from.
Do you provide ongoing support after implementation?
Yes. Our 24/7 support packages cover monitoring, maintenance, performance tuning, and emergency response. Tiers run from basic monitoring up to dedicated DBA services.
Can Aerospike handle both OLTP and OLAP workloads?
Aerospike is built for real-time OLTP workloads. For OLAP, we usually recommend a hybrid architecture. Aerospike handles the real-time operations. A companion engine such as Apache Spark or ClickHouse runs the analytical workloads.
What's the migration process from existing databases?
We migrate in phases: assessment, data modeling, parallel running, gradual cutover, and validation. Most migrations finish with zero downtime. We use methods and tools proven on earlier projects.
Technology stack
Technologies We Work With
Complete Aerospike ecosystem and integration tools
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Put Aerospike's high-performance NoSQL database behind your real-time applications. Our experts help you reach the speed and scale you need.
Real production migration: DynamoDB → Aerospike
DynamoDB to Aerospike: The Cost and Performance Optimization Journey
A real case study of migrating a production workload from DynamoDB to Aerospike — covering 60% cost reduction, sub-millisecond p99 latency, the dual-write cutover playbook, and the AWS bill math that justified the move. Read the full Aerospike migration walkthrough.