관심을 가져 주셔서 감사합니다.
VMware GemFire is a distributed, in-memory, key-value store that performs read and write operations at blazingly fast speeds. It offers highly available parallel message queues, continuous availability, and an event-driven architecture you can scale dynamically, with no downtime. As your data size requirements increase to support high-performance, real-time apps, VMware GemFire can scale linearly with ease.
Traditional databases are often too brittle or unreliable for use with microservices. That’s why every modern distributed architecture needs a cache! With VMware GemFire, applications get low-latency responses to data access requests, and always return fresh data.
Maintain transaction integrity across distributed nodes. Support high-concurrency, low-latency data operations in your application. Node failover and Multi Geo (Cross Data Center or Multi Data Center) replication ensure your applications are resilient, whether on-premises or in the cloud.
These pages make dozens of calls to several databases to get the necessary data, much of which is static and can be precomputed overnight and stored in the cache. Often, that data is repeatedly used throughout the day in other parts of the site (e.g., calculating a co-pay for a procedure requires multiple hits to multiple database tables), but much of the data involved is slowly changing—and therefore a great candidate for caching.
The customer needs an accessible shopping cart no matter which app server they come in on. You can expect very high concurrency on the table storing shopping carts, potentially thousands of simultaneous users but not on EACH shopping cart. The traditional, nonscalable database may be unable to keep up. VMware GemFire is horizontally scalable, and can be easily scaled out to handle even millions of concurrent accesses per second.
Some backing stores can’t keep up with high-volume transaction processing, especially when there are many simultaneous requests. Online shopping. Connected devices. Securities trading. These types of transactional applications demand extremely high-performance data management to process thousands of parallel transactions. An in-memory data grid that supports high data consistency is a must to provide real-time responses.
Many of the heritage data sources are typically deployed adjacent to modern runtimes like the Tanzu platform. VMware GemFire can be used as an inline cache or cache aside on the platform to make the data available to a whole new generation of microservices.
As your business continues to grow and work load increases, traditional databases can’t keep up with the concurrent volume. By using VMware GemFire, you can easily scale and keep your applications online to meet those burgeoning demands. VMware GemFire is also developer-friendly—it enjoys extensive support within the Spring Framework!
VMware GemFire’s Multi Geo (Cross Data Center or Multi Data Center) replication provides the data layer underpinnings to make your multi-cloud strategy work. Common business drivers include: disaster recovery, reduced latency, and data sovereignty laws and regulations.
Credit card fraud. Risk calculation. Industrial fleet tracking. VMware GemFire’s powerful in-memory data grid can manage terabytes of data in-memory and push notifications to track and respond to mission-critical processes in real time. This fast, continuous querying lets systems to quickly and easily access large amounts of incoming data—and take action.
Need to perform massive number crunching on large data sets? VMware GemFire can do map-reduce-style processing where data is sharded and computation-intensive workloads are sent each shard.
VMware GemFire is perfect for IoT scenarios where you’re ingesting data from sensors and monitors.