The Fastest Way to Redis on Pivotal Cloud Foundry

Cross posted from The Pivotal Blog.

What do developers choose when they need a fast performing datastore with a flexible data model? Hands-down, they choose Redis.

But, waiting for a Redis instance to be set up is not a favorite activity for many developers. This is why on-demand services for Redis have become popular. Developers can start building their applications with Redis right away. There is no fiddling around with installing, configuring, and operating the service.

Redis for Pivotal Cloud Foundry offers dedicated and pre-provisioned service plans for Cloud Foundry developers that work in any cloud. These plans are tailored for typical patterns such as application caching and providing an in-memory datastore. These cover the most common requirements for developers creating net new applications or who are replatforming existing Redis applications.

We’d like to invite you to a webinar discussing different ways to use Redis in cloud-native applications. We’ll cover: – Use cases and requirements for developers – Alternative ways to access and manage Redis in the cloud – Features and roadmap of Redis for Pivotal Cloud Foundry – Quick demo

Presenters: Greg Chase, Director of Products, Pivotal and Craig Olrich, Platform Architect, Pivotal

The Fastest Way to Redis on Pivotal Cloud Foundry from VMware Tanzu

What’s New in Pivotal GemFire 8

Reposted from Pivotal POV….

On September 23, 2014 Pivotal announced the release of Pivotal GemFire 8, part of Pivotal Big Data Suite. This is the first major release of GemFire since it became part of the Pivotal portfolio.

Born from the experience of working with over 3000 of the largest in-memory data grid projects out there, including China Railways, GIRE, and Southwest Airlines, and  we’ve invested more into the needs of the most demanding enterprises: more scale, more resilience, and more developer APIs.

This release is a significant enhancement for developers looking to take their big data NoSQL apps to massive scale. For the complete technical details, you can check out the new datasheet, and official product documentation.

Here’s what’s new, sorted by the 5 areas that GemFire does best in the industry:

Providing Scale Out Performance

This is why most of Pivotal’s customers begin looking at GemFire in the first place—because they can’t make traditional RDBMS’s scale with the number of concurrent transactions and data they need to manage.

Pivotal GemFire manages data in-memory distributed across multiple systems on commodity hardware—100’s of nodes if you like—in a shared-nothing architecture.  So there’s plenty of compute and memory to host all your data to get real-time response.

WHAT’S NEW

We’ve added in-memory compression, effectively giving each node the capacity to hold up to 50% more data. Compression is achieved through Snappy, a speed-optimized algorithm, although the compression codec is replaceable to whatever algorithm you want to use.

Maintaining Consistent Database Operations Across Globally Distributed Nodes