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IBM and Hazelcast deliver the most advanced solution for in-memory computing in the cloud

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About IBM and Hazelcast

IBMMigrating applications where low latency is not a requirement is often the starting point for enterprise cloud migration strategies. There is, however, a general hesitation in migrating mission-critical and time-sensitive applications to the cloud when low latency is a high priority. This hesitancy is due to concerns around regional availability and inconsistent hardware from one cloud provider to another when employing a multi-cloud strategy.

To solve this problem, Hazelcast and IBM have announced a joint initiative to:

  • Create new cloud-native applications
  • Modernize and optimize existing applications
  • Open up enterprise data centers to work with cloud services

Hazelcast and IBM Cloud Paks

Mirroring the run-anywhere capabilities of the IBM Cloud Paks, the extremely lightweight footprint of the Hazelcast In-Memory Computing Platform enables it to be embedded or deployed alongside the application to shrink latency to microseconds. As cloud strategies evolve, it provides additional deployment flexibility for edge and microservices use cases.

Hazelcast is integrated into the Cloud Paks to simplify the deployment of in-memory technologies when leveraging a cloud infrastructure. Hazelcast is fully cloud-read to take advantage of cloud-native flexibility.

Built on OpenShift, the IBM Cloud Pak for Applications is one of five Cloud Paks designed to provide a faster, more secure way to move core business applications to any cloud environment through enterprise-ready containerized software.

“IBM Cloud Paks offer enterprises a containerized solution that is an open, faster and more secure way to move core business applications to any cloud,”
  
“With many of the world’s largest organizations deploying Hazelcast, it is a proven solution that will support the high-performance requirements of mission-critical applications in any cloud.”
  

A New Data Layer for Modernizing Applications

Deploy Edge-to-Cloud IoT Architectures with IBM and Hazelcast

For a growing number of Internet of Things (IoT) use cases, edge computing must be integrated with a cloud-based data center to address the challenges of capturing huge amounts of data from remote locations. However, deploying an edge computing solution has its own set of challenges, including limited computing space, security, and software change management.

Hazelcast and IBM work together to drive edge-to-cloud solutions that are fast, efficient, lightweight, and secure. Connected cars, predictive maintenance on industrial equipment, and smart cities are just some examples where edge-to-cloud plays a key role.

Flexible and Adaptable

Move and run WebSphere eXtreme Scale, OpenShift, Cloud Foundry, Cassandra, Kafka, and other high-performance workloads at scale onto ICP with Hazelcast, which delivers:

  • One platform that supports varied workloads

  • Easy 1-button push experiences around the management of containerized software for any cloud

  • The ability to leverage any development platform while creating a unified management plane

Cloud-Ready

Existing in-memory computing platforms might run well in traditional stacks, but products like IBM eXtreme Scale cannot run in modern, Kubernetes-based, cloud environments. You need a cloud-native in-memory platform like Hazelcast to leverage the cloud.

To learn how Hazelcast can support your cloud initiatives while also adding more in-memory capabilities to your architecture, download our white paper that compares Hazelcast to IBM eXtreme Scale.

Mainframe Optimization

Get the most out of your mainframe investment by adding a data layer for web/mobile applications, by integrating an agile, multi-cloud strategy, and by expanding into microservices or event-driven architectures.

Application Modernization

Hazelcast and IBM help enterprises pursue application modernization strategies which help to add new capabilities to get more value out of more types of data. This diagram based on IBM architectures shows where Hazelcast fits into a comprehensive IBM stack, enabling new capabilities alongside components that:

  1. Analyze the impact of migrating to containers
  2. Use container templates to create application container images
  3. Automate the continuous build pipeline
  4. Automate the deployment via Helm Charts and Operators
  5. Collect logs and metrics
  6. Share key metrics via dashboards