![]() Shared & Persistent Memory Meets Low Latency RDMA ![]() To that end, MemVerge pioneered Memory Machine™ software. Wide deployment in business-critical tier-1 applications is only possible if a virtualization layer emerges to deliver HPC-class low latency and enterprise-class data protection. MemVerge Software is the Virtualization Layer To that end, IDC forecasts revenue for persistent memory to grow at an explosive compound annual growth rate of 248% from 2019 to 2023. The Big Memory market is only possible if lower cost persistent memory is pervasive. The Foundation is Intel Optane DC Persistent Memory Big Memory can scale-out massively in a cluster and is protected by a new class of memory data services that provide snapshots, replication and lightning fast recovery. It has all the ingredients needed to handle the growth of IMDB blast zones by accelerating crash recovery. That means addressing the cost and performance of Pub/Sub infrastructure for data ingest, compute, storage and transport.īig Memory consisting of Intel Optane DC Persistent Memory and MemVerge Memory Machine software play a key role in allowing Pub/Sub networks to keep pace with growth by scaling massively.īig Memory is a class of computing where the new normal is mission-critical applications and data living in byte-addressable, and much lower cost, persistent memory. Another source of instability is slowdowns where many applications using the system result in the message volume flow to an individual subscriber to slow.Īs user and application demand for real-time market data accelerates, the IT industry is developing technology that will allow Pub/Sub to scale. Instability at large scale is commonly caused by load surges. However, as the number of nodes and messages grows, instability emerges, limiting the scalability of a pub/sub networks. Pub/sub scales well for a small number of publisher and subscriber nodes and for low message volume. Pub-Sub middleware is used to quickly and efficiently deliver this data to subscribers. ![]() Pub/sub messaging is used to power event-driven analytics, or to decouple pub/sub functions from core applications for higher performance, reliability and scalability Demand for Real-Time Market Data is Outpacing InfrastructureĪpplications ranging from News, to Risk Analysis, to Trading Engines rely on streaming real-time market data from a network of exchanges. Similarly, subscribers only receive messages that are of interest. With pub/sub middleware, senders categorize published messages into classes without knowledge of which subscribers. The publish-subscribe messaging pattern, or pub/sub messaging, provides asynchronous service-to-service communication. ![]() The Publish-Subscribe (Pub/Sub) Messaging Pattern ![]()
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