Obtaining real-time insights and acting on them within a critical time frame, at scale and across any environment is a challenge for many enterprises.
“Few (Enterprises) have embedded AI into standard operating processes in multiple business units or functions, and about one-third are only piloting the use of AI.”
McKinsey 2018 Survey
GigaSpaces is helping simplify the operationalization of real-time AI and ML on streaming, hot and historical data for faster, smarter insights and actions. With the announced Red Hat OpenShift Operator Certification, agile development, deployment and lifecycle management of InsightEdge applications in cloud, on-premise and hybrid environments is further facilitated.
“This week, Red Hat brings a certified and supported container operator ecosystem, designed to make advances in open innovation accessible and consumable for the hybrid cloud. A critical piece of this ecosystem is providing our partners with tools and technologies to deliver safer and more secure and reliable containerized applications to end users, a component that GigaSpaces has embraced with Red Hat OpenShift Operator Certification,” said Mike Werner, Sr. Dir, Global Technology Partner Programs, Red Hat. “We’re pleased to welcome GigaSpaces to this ecosystem, as both part of the Red Hat Connect for Technology Partners program and one of the recent partners to publish a Red Hat OpenShift Certified Operator in the Red Hat Catalog.”
This means that InsightEdge customers can now download the Operator from the Red Hat Container Catalog and benefit from Red Hat OpenShift Operator while developing and deploying time-sensitive applications requiring performance and scale for transactional processing and the acceleration of analytics and machine learning on streaming, hot and historical data.
On-Premise, Cloud and Multi-Cloud Requirements
As enterprises accelerate the adoption of cloud, the line between on-premise and cloud environments is becoming blurred. Enterprises require the ability to develop, deploy and manage applications and services on all environments and are already investing in platforms that support multi-cloud to reduce vendor lock-in risks as well as single points of failure.
According to a 451 Research survey, 69% of organizations plan to run a multi-cloud environment by 2019. They will choose the best-of-breed cloud vendors to run different parts of their workload.
The combination of Red Hat OpenShift’s cloud-agnostic support with GigaSpaces’ multi-region and cloud replication module improves the efficiency of cloud and multi-cloud migration initiatives by optimizing bandwidth and reducing data transfer costs between regions and cloud
Figure 1: Multi-cloud support leveraging InsightEdge and the GigaSpaces multi-region replication, WAN Gateway Module
Data is replicated instantly and efficiently by leveraging predefined filters to replicate the desired data changes, custom aggregations and compression. Encryption and anonymization of the data in transit is supported by privacy regulations such as GDPR.
Easy to Deploy and Manage
Using InsightEdge is easier with Red Hat OpenShift, since no documentation or learning is required when working in Red Hat environments. Furthermore, certification delivers the Red Hat guarantee for secure, virus-free operations, as well as seamless, one-click installation. Consequently, it provides an excellent framework for operation, as well as an ideal environment to manage and use the InsightEdge cluster.
The InsightEdge Operator is published and generally available in the Red Hat catalog as shown here:
Using Operator
An Operator is a method of packaging, deploying and managing complex stateful applications on top of Kubernetes. Using the Operator SDK with its high level APIs and abstractions makes it easier to write the operational logic and extend it in a customized manner.
The SDK provides workflows to develop operators in either Go, Ansible, or Helm. GigaSpaces has built its InsightEdge Operator based on Helm, the de-facto industry-standard package manager for Kubernetes, leveraging its existing Helm charts already available in the GigaSpaces Helm repository.
When using Helm inside an Operator, developers can simply go to the Red Hat Catalog, click a button, and automatically, easily and seamlessly deploy the most complex applications. All the scaling, auto-recovery and self-healing required is received without the support of a team of DevOp experts, since the deployment is self-contained and offers unprecedented ease-of-use.
The InsightEdge Platform can be deployed using the Operator image already available in the Red Hat registry as part of the GigaSpaces repository at: registry.connect.redhat.com/gigaspaces/insightedge-enterprise-operator
The InsightEdge Operator image is obtained from a Red Hat container registry using either the OpenShift Dashboard GUI interface or the Docker service command line, as shown below:
Deployment and management of InsightEdge requires obtaining the necessary GigaSpaces Operator, installing and provisioning the platform in an OpenShift cluster and monitoring the platform using the OpenShift dashboard. This is performed using a series of commands that enable a range of operations, such as the addition of a Helm repository to the repository list, fetching the GigaSpaces Helm charts from the GigaSpaces repository and unpacking charts.
Once the Operator image has been downloaded from the registry, the following commands must be run in order to deploy InsightEdge on a new OpenShift cluster:
To verify that the InsightEdge Operator is up and running:
Deploy Today
The GigaSpaces-Red Hat collaboration is important because first and foremost, it delivers the security and legitimacy of Red Hat certification to run. It also provides an excellent framework for operation, as well as extensive insights on how to manage and use InsightEdge on any environment including multi-cloud.
Check out InsightEdge Enterprise Operator certified in Red Hat OpenShift!
