Aerospike Digital Summit 2021
2021-05-04..2021-05-06
-- online --
[Aerospike Digital Summit 2021, Aerospike Digital Summit 2021: Reimagine Real-time]
who it's for
database engineers, platform engineers, cloud architects, site reliability engineers, data engineers, machine learning engineers, iot engineers
topics
Aerospike hybrid memory architecture; NVMe over Fabrics benchmarks; real-time bidding on GCP; time-series store with chunked keys; XDR bin-level convergence replication; Apache Pulsar integration; persistent memory (Intel Optane) deployments; multi-petabyte system-of-record; per-item digital twin with NFC/RFID; real-time recommendations with ML on GCP
| title | author | length |
|---|---|---|
| The Importance Of Real time Data For Playtika’s Leading Online Gaming Platform | Ella Vidra | 28m |
Playtika explains why real-time data and a private cloud are core to running live games: moving key state to Aerospike cuts clusters from 200→30 servers… | ||
| Building a Time-Series Database for Point-in-Time Lookups | Stephen Price | 30m |
G-Research builds a time‑series store on Aerospike using Aerospike CDTs and chunked monthly keys to hold compact, versioned chunks; temporal versioning answers… | ||
| From Cloud to On-Prem - Capacity Planning and CPU Analysis | Albert Autin | 30m |
Migration reverses a cloud cluster back on-prem for a large Aerospike cold store, using a POC of four AWS m5d metal machines versus four borrowed on-prem… | ||
| Operating A Multi Petabyte System Of Record For Billions Of Users | Olli Virtanen, Joe Francis | 32m |
Verizon Media modernizes Sherpa by migrating a multi‑petabyte, multi‑tenant system of record (≈200B records, ~1 PB) into Aerospike across 6 data centers… | ||
| Real time Bidding Caching Use Case On The Google Cloud Platform | Archit Pandey, Manoj Pal | 32m |
Real-time bidding system runs on Google Cloud with Kubernetes autoscaling, a custom binary JSON serializer and RPC library, and Aerospike as primary store and… | ||
| Cloud Workloads At Petabyte Scale | Merritte Stidston, Amit Shah, Srini Srinivasan | 24m |
Aerospike runs a hybrid memory architecture that stores indexes in DRAM or persistent memory and data on NVMe flash, compressing a 1 PB uncompressed dataset… | ||
| Becoming Hyper Asset-Centric with Ultra Low-Cost Supply Chain Digitization for IoT | Jan Schnitker, Jonas Breuer | 33m |
Asynos presents a working system that tags individual items with printed NFC/RFID labels at sub-penny cost to create per-item digital twins, already tracking… | ||
| Streaming Analytics with Apache Pulsar | Addison Higham | 32m |
Apache Pulsar is a Kubernetes-native messaging and streaming platform that claims millions of messages a second throughput, uses BookKeeper and ZooKeeper for… | ||
| Large-Scale Benchmark Results of NVMe Over Fabric Technology | Jeff Ballard, Mark Miquelon | 29m |
Benchmark uses the Aerospike certification tool against an Ethernet RDMA NVMe-over-Fabrics array (OpenFlex F-3200 devices in an OpenFlex E3000 chassis) and… | ||
| Using Aerospike as a Real-time System-of-Record for Adobe Experience Cloud Services on Azure | Aravind Sriram, Richard Li | 33m |
Adobe moves its Experience Platform identity services from a Microsoft managed NoSQL store to Aerospike on Azure and proves it at scale: ~100 billion keys, two… | ||
| Future-Proofing your Architecture - AI at Any Scale with HPE & Aerospike | Sorin Cheran, Nicole Fisk | 32m |
Claims concrete results: Aerospike on HPE servers using HPE Persistent Memory (Intel Optane™) and Aerospike hybrid memory delivers production-scale speed and… | ||
| How Dream11’s Fantasy Platform Is Handling The 2021 Indian Premier League | Hammond Pereira | 31m |
Dream11 runs its IPL 2021 fantasy platform for 80 million users on Aerospike Cloud Managed Service, configuring clusters in Strong Consistency mode to… | ||
| User Attribution at Scale: All-Flash, ½ Trillion Objects | Robert Abraham | 31m |
Adjust migrates a Redis-based device store to Aerospike NVMe all‑flash, shrinking from ~40 Redis servers to 6 Aerospike nodes and cutting infrastructure cost… | ||
| Powering Real-time Recommendations with Machine Learning on GCP | Matt Bushell, Vipul Naik | 33m |
Real-time recommendation stack on GCP uses LiftIgniter logic with Aerospike key‑value clusters to serve millisecond lookups and serve a continuous update… | ||
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