SpaceDeck

Overview

GigaSpaces SpaceDeckClosed GigaSpaces intuitive, streamlined user interface to set up, manage and control their environment. Using SpaceDeck, users can define the tools to bring legacy System of Record (SoR) databases into the in-memory data grid that is the core of the GigaSpaces system. is an intuitive, streamlined user interface to manage and control the GigaSpaces environment.

Using SpaceDeck, you can define the tools to bring legacy System of Record (SoR) databases into the in-memory data grid that is the core of the GigaSpaces system.

SpaceDeck has the following advantages:

  • No-code functionality – the environment can be set up and monitored using the user-friendly SpaceDeck screens, eliminating the need for writing or customizing code

  • The ability for you to create and execute low-code SQL micro-services.

  • A full complement of data and system monitoring tools.

Main Screen

The SpaceDeck main screen is described below for Smart DIHClosed Digital Integration Hub. An application architecture that decouples digital applications from the systems of record, and aggregates operational data into a low-latency data fabric. and XAP SkylineClosed A highly customizable developer platform that allows building scalable HA with high throughput and ultra-low latency Java applications running on Kubernetes clusters.

Typical SpaceDeck Users

SpaceDeck can be used by various user types ("personas") as follows:

System Integrators – integrate data from Systems of Record into Smart DIH, using data pipelines

Data Engineers – study the data unified in a SpaceClosed Where GigaSpaces data is stored. It is the logical cache that holds data objects in memory and might also hold them in layered in tiering. Data is hosted from multiple SoRs, consolidated as a unified data model. using data queries. Integrate data from Systems of Record into Smart DIH, using data pipelines

System Admins – manage day-to-day operations of the system; inspect and monitor its components

Getting Started

Define/Modify/Monitor a Space Define/Modify the Data Sources from the System or Record Define/Modify/Monitor a Data PipelineClosed A series of data processing steps, including extraction, transformation, and loading (ETL), that move data from its source to a destination system. Data pipelines are essential for integrating and managing data flows. Create and execute low-code data services Perform SQL queries on Space/Pipeline data
Deploy and undeploy Spaces – SpaceDeck – Spaces - Adding a Space

Choose which databases to import into the in-memory data grid – SpaceDeck – Data Sources

These data source will be used in the configuration of the data pipeline.

Choose which tables and fields to use, and decide which Spaces will contain this data – SpaceDeck – Data Pipeline – Create New Pipeline Create and execute low-code services: SpaceDeck – Services Perform SQL queriesSpaceDeck – Data Query

View dynamic metrics - SpaceDeck – Spaces Status - Details

  View dynamic metrics and start/stop the pipeline – SpaceDeck – Data Pipelines – Details    
(Click to enlarge the images below)

 

This topic includes the following sections explaining SpaceDeck operations in the order they should be carried out in.