"In real-time bidding, latency spikes mean missed opportunities. Aerospike gives us consistent performance even when traffic surges." - Youcef Sebiat, Adikteev. Adikteev replaced ScyllaDB with Aerospike and cut infrastructure cost by 39%. Read the full story: https://monkeylink.co/7f5df8

Aerospike Software Engineer, Harin Avaari, breaks down how AI Agents are changing the way companies detect and stop fraud in real time. Watch the clip above and if you want to go deeper, check out the full webinar on our website. https://monkeylink.co/a30e09

The way we measure database performance for AI systems is broken. P99 is no longer enough. When one request fans out across hundreds of operations, rare slow events become near-certain user-facing delays. Variance is the metric that actually matters. Here is the math: https://monkeylink.co/854944

We put Aerospike and Cassandra head-to-head under real conditions. The results: 3.5x higher throughput, sub-millisecond p99 latency throughout, and stable recovery under node failure where Cassandra suffered failure and had to be terminated. Read the full benchmark: https://monkeylink.co/d154fe

Many teams hit a wall with Cassandra as scale grows. Rising costs, inconsistent latency, and operational complexity are the signs. Here is what to watch for: https://monkeylink.co/2cd177 #RealTimeData #DistributedSystems #Scalability #DatabaseArchitecture

Predictability is becoming the new standard for modern systems. AI drives unpredictable workloads where one request fans out into many, making tail latency the real challenge. At Aerospike, we focus on consistent low-latency at scale. Read more: https://monkeylink.co/d894f8 #DistributedSystems

Myntra built a #GenAI assistant that remembers conversations and responds in milliseconds at scale. It is not just about the #LLM. It is about the data layer. See how #Aerospike powers real-time personalization: https://monkeylink.co/05101c #RealtimeData

What happens when millions of requests hit your application at once? Load balancers distribute traffic, prevent bottlenecks, and keep systems running during spikes or failures. Learn how they work and why they matter for high-performance systems: https://monkeylink.co/eb3a38 #DistributedSystems

Unity’s ads platform processes 10M+ database ops where every request must be evaluated in milliseconds. As traffic grew, Redis clusters became harder to scale and operate Unity moved critical services to Aerospike, achieving predictable sub-10 ms latency across 100+ TB https://monkeylink.co/861741

Multi-availability-zone database architectures improve availability but introduce tradeoffs in performance, consistency, and operations. Read the full blog: https://monkeylink.co/4a3185 #CloudArchitecture #DistributedSystems

AKO 4.2 strengthens #Aerospike for running real-time, stateful workloads on Kubernetes. New features include FIPS support, flexible rack-level storage scaling, and safer operations during maintenance and failures—helping teams run clusters with greater confidence. https://monkeylink.co/d726ee

“Schemaless” doesn’t mean structureless. It means your data model can evolve without risky migrations or coordination overhead. This blog explains: • What schemaless actually means • How it works • When it’s the right choice https://monkeylink.co/9acf51 #Databases #NoSQL #DistributedSystems

Peak throughput is not the hard part. Predictable latency at scale is. Our Aerospike vs. ScyllaDB benchmark shows how Aerospike maintains low tail latency and linear scalability at multi-terabyte scale while using fewer resources. Read the full benchmark: https://monkeylink.co/14e0e9

MGID runs ~100K ad requests/sec with ~190K reads/sec at sub-ms latency using Aerospike as its real-time user profile store. “In 11+ years on Aerospike, we have never had any downtime. It just works.” — Evgeny Nagorny, CTO, MGID Learn more: https://monkeylink.co/e46f45

A CDN reduces latency by caching content at the edge instead of routing every request to a single origin. It improves performance, resilience, and security. But the edge is only part of the story. Your data layer still needs millisecond performance to keep apps fast. https://monkeylink.co/034a5c

Client misconfigurations can destabilize a cluster, and operators often cannot fix them without code changes. Aerospike 8.1 introduces Dynamic Client Configuration and user-agent tracking, giving operators runtime control and visibility into client behavior. Read more: https://monkeylink.co/d2aa27

Adform replaced Cassandra with Aerospike to eliminate batch delays, reduce reporting latency from hours to seconds, and achieve 99.999% uptime while processing over 11M operations per second for real-time advertising. 👉 Read the full customer story: https://monkeylink.co/fe1a83

Data masking protects sensitive data, but at scale it can add latency, create bottlenecks, and drift as schemas change. See how Aerospike enforces masking at the database layer while keeping performance predictable: https://monkeylink.co/fd65e8 #DataSecurity #RealTimeData

Recommendation engines drive personalization across retail, media, AdTech, travel, and financial services. The common thread: real-time decisions powered by fresh data at scale. Read more for examples and tradeoffs that teams face when running recommendation engines: https://monkeylink.co/2647ca

Helm is common on Kubernetes, but production deployments often struggle with upgrades, rollbacks, and consistency. Learn how Aerospike uses official Helm charts and a Kubernetes Operator to deploy and operate a real-time data platform with confidence at scale: https://monkeylink.co/d80068

Caches are meant to make systems faster, but they introduce a hard problem: deciding what data to keep when memory fills up. Learn how #Aerospike avoids a separate caching layer by serving data with predictable low latency directly from the database: https://monkeylink.co/b6dfdb

PayPal re-architected its real-time data layer with Aerospike, reducing infrastructure footprint by 88% while maintaining predictable, low-latency performance for global transaction decisioning across always-on financial systems. 👉 Read the full customer story: https://monkeylink.co/fb3036

Criteo powers real-time ad bidding with Aerospike, improving read and write performance by 300% while reducing infrastructure footprint and cutting carbon emissions by 80%. High-scale performance without high cost or complexity. 👉 Read the full customer story: https://monkeylink.co/7126cd

#OLTP and #OLAP solve different problems OLTP handles real-time, low-latency transactions. OLAP analyzes historical data for insight. #Aerospike is built for predictable OLTP performance at scale, without slowing analytics downstream. Read more: https://monkeylink.co/dc72ff #DataArchitecture

Hybrid storage is now the default for many teams. Combine low-latency on-prem systems with cloud scale, without forcing tradeoffs. This is where Aerospike fits in. Read more to learn what hybrid storage is, how it works, and where it fits best in modern architectures: https://monkeylink.co/6fce29

Fraud decisions happen before checkout. Forter rebuilt its fraud engine on Aerospike to deliver millisecond trust decisions at global scale, cutting P99 latency 10x and reducing infrastructure by 40%. 👉 Read more: https://monkeylink.co/d14665 #RealTimeData #FraudPrevention #DistributedSystems

TransUnion replaced Cassandra with #Aerospike to modernize TruAudience, cutting infrastructure by 85% and reducing p99 latency from seconds to milliseconds. Five global clusters stay in sync to support real-time identity resolution at scale. Read More: https://monkeylink.co/b55bf0

HDFC Bank serves tens of millions of digital users across India. As mobile banking and the Unified Payments Interface (UPI) scaled with #Aerospike, banking became a 24/7, real-time system with massive concurrency and no tolerance for latency. Read more: https://monkeylink.co/347954

A feature store centralizes ML features for training and real-time inference, keeping models consistent in production. Low-latency lookups are critical for live predictions. See how #Aerospike supports this at scale: https://monkeylink.co/7ae840 #FeatureStore #MachineLearning #RealTimeAI

Batch data movement no longer fits real-time systems. CDC replaces periodic snapshots with a continuous stream. Instead of exporting full tables, #CDC captures inserts, updates, and deletes as they happen, keeping systems aligned with minimal latency. Learn more: https://monkeylink.co/e2a9ae

🏆 We are pleased to share that the Aerospike real-time data platform has been named a finalist in the 2026 Tech Innovation CUBEd Awards. It's an honor to be recognized in the Most Innovative Data Platform category. Thank you to theCUBE for the recognition. Read more: https://monkeylink.co/bdb85d

AdTech, MarTech, and MadTech depend on real-time decisions. Serving ads and personalizing content require millisecond latency at high concurrency. See how #Aerospike supports fast decision loops at scale: https://monkeylink.co/f2acd8 #RealTimeData #DistributedSystems

Barclays modernized fraud protection with Aerospike, cutting decision latency by 80% and increasing throughput 4x. Real-time access to data powers faster AI-driven fraud detection across high-volume transactions without added operational complexity. Read more: https://monkeylink.co/ff3ba0

High concurrency is about sustaining massive parallel traffic with predictable latency, not relying on raw hardware to mask architectural gaps. See how real-time platforms like #Aerospike handle sustained load by design: https://monkeylink.co/10e148 #HighConcurrency #DistributedSystems

Modern distributed databases are built for scale from day one. They assume failures, continuous growth, and data spread across nodes. Learn why stable latency matters for real-time workloads and how #Aerospike delivers it at scale: https://monkeylink.co/5a0b7c #DistributedDatabases

IDFC FIRST Bank built a unified real-time customer state store on #Aerospike to power instant balances and decisions across channels. Results included 75–90% faster reads and writes and 66% lower replication latency. Learn more: https://monkeylink.co/cf2f8d #RealTimeData

We hosted our Aerospike holiday party last week. Nice break from the day-to-day and a great chance to spend time together. Thanks to everyone who came out. 🎉

Stateful vs. stateless architecture is one of those choices that quietly shapes everything. How you scale. How you fail. How complex things get over time. The real question is where state belongs as you grow. #Aerospike keeps stateless apps fast. Read more: https://monkeylink.co/2a70fd

Data partitioning rarely fails fast—it fails as systems scale. Hotspots and uneven load emerge over time. Partitioning defines behavior under growth and failure. Aerospike enables predictable partitioning and linear scale without manual sharding. Read more 👉https://monkeylink.co/8abede

Failover isn’t just detecting failure, it’s how systems behave during recovery. Some designs trade performance or consistency. #Aerospike keeps performance predictable during failures, not just after. Read more 👉https://monkeylink.co/0a6e04 #ReliabilityEngineering #FaultTolerance

Cache warming exists because systems can’t deliver predictable performance on their own. Cold starts and uneven access create variability. Aerospike eliminates cache warming with Hybrid Memory Architecture. Consistent performance, no warm-ups. Read more: https://monkeylink.co/c3b107 #SystemDesign

A new year brings new opportunities to build faster, smarter, and more resilient systems. Thank you for being part of the Aerospike community. Here’s to a year of growth, scale, and innovation. 🚀

Wishing you a joyful holiday season and a strong start to the year ahead. Thank you to our customers, partners, and community for building the future of real-time data with us. Happy Holidays from all of us at Aerospike 🎄

Real-time doesn’t have to mean RAM-heavy. Learn how #Aerospike delivers predictable, sub-ms performance at disk prices with Hybrid Memory Architecture. 👉 https://monkeylink.co/4cbbd9 #DataEngineering #AIInfrastructure

The right scaling strategy improves continuity, cuts resource use, and prepares you for growth. Learn how #Aerospike supports both vertical and horizontal scaling for real-time apps. Read the full blog: https://monkeylink.co/6a77c6 #Database #DatabaseManagement #Developer #CloudManagedServices

Modern apps don’t need more batch jobs. They need to react in real time. Learn how Change Data Capture (#CDC) streams data changes as they happen and why low-latency databases matter at scale. 👉 https://monkeylink.co/693c66 #ChangeDataCapture #RealTimeData #Aerospike #DataArchitecture

Scaling personalized lending for 20M borrowers isn’t a small data problem. See how @mPokket uses #Aerospike to deliver real-time lending decisions with predictable latency and simplified architecture. 👉 Read the story: https://monkeylink.co/7205db #Fintech #RealTimeData

Unplanned outages and cyberattacks happen. Is your database ready? Our latest blog breaks down essential #disasterrecovery strategies to keep your business online and protected from downtime and #dataloss. #Aerospike #DatabaseSecurity Read more: https://monkeylink.co/9634bb

BioCatch turned to Aerospike to scale real-time behavioral fraud detection. The result: 3,000+ signals unified, predictable sub-ms latency, and 16B sessions/month processed at lower cost. High-performance data infra powers real-time AI. Read more: https://monkeylink.co/792f6c

Machine learning isn’t “set it and forget it.” Models drift, hurting accuracy and decisions. Our latest blog covers #modeldrift, #datadrift, #conceptdrift, and why real-time, scalable data pipelines are key for reliable production ML. https://monkeylink.co/094ae9