Alumio performance insights

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The Alumio middleware connecting well known solutions like HubSpot, Sage, SAP, Magento, PayPal, Salesforce, and many more.

Delivering peak performance during peak sales!

Organizations across industries trust the Alumio iPaaS (integration Platform as a Service) to deliver great uptime, process thousands of transactions per second, and support thousands of cloud-native Alumio environments. While streaming real-time integrations, the platform enables business process orchestration, delivers high-speed data transfers, and can scale to meet high data demands!

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‍performance results

The following performance insights gathered by Alumio experts include results from asynchronous and synchronous processing scenarios. This involved testing three scenarios importing data, exporting data, and synchronously importing and exporting data.

The performance report has been compiled after rigorous testing with the default 'Professional edition' hosting setup - Alumio version 3.13.0, 8GB, 2 cores. The testing was carried out in the region eu-west-2a (London).

Test 1: Asynchronous approach - importing data (creating tasks)

In this scenario, a data seeder was utilized to create tasks within Alumio. We eliminated the influence of external factors by utilizing a data seeder instead of an API call, database query, GraphQL query, etc. This allowed us to measure the overhead added by Alumio.The following components were used while conducting the test:
‍
An incoming configuration, a range Subscriber (to create 1000 entities per run), an entity transformer, a data filter, a move using a pattern (data transformer), and a value setter.

3D visual of the Alumio integration platform dashboard, in action of transforming incoming data.

Test 2: Asynchronous approach -exporting data (creating tasks)

In this scenario, a storage publisher was utilized to process tasks within Alumio. This time, we eliminated the influence of external factors by utilizing a storage publisher instead of an API call, database query, GraphQL query, etc. Since each task gets processed sequentially, there was no need for optimizations. However, it is possible to further improve the performance by executing bulk processing or upgrading the hosting environment.

The following components were used: an outgoing configuration, a storage publisher (to process 1000 tasks sequentially per run), an entity transformer, a data filter, a move using a pattern (data transformer), and a value setter.

3D visual of the Alumio integration platform dashboard, in action of transforming information to a connected system.

Test 3: Synchronous approach - importing & exporting data simultaneously

In this scenario, a data seeder was utilized to create tasks within Alumio. We eliminated the influence of external factors by utilizing a data seeder instead of an API call, database query, GraphQL query, etc. With this approach, we were able to measure the overhead added by Alumio.

The following components were used while conducting the test: an incoming configuration, a range Subscriber (to create 1000 entities per run), an entity transformer, a data filter, a move using a pattern (data transformer), and a value setter.

A 3D visual of the Alumio iPaaS dashboard showcased with incoming and outgoing arrows to showcase the interchange of information.

An overview of the new performance results

Asynchronous Approach

The average time taken for 1000 tasks: 42s 776ms

Median time taken for 1000 tasks: 44s 490ms

Average tasks per second: 23.378

Median tasks per second: 22.478

Synchronous Approach

The average time taken for 1000 tasks: 4s 466ms‍

Median time taken for 1000 tasks: 4s 374 ms

Average tasks per second: 223.914

Median tasks per second: 228.623

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Reliable platform performance
at peak moment

A proven integration solution for high-traffic

Seasonal sales, marketing campaigns, and new product launches can lead to peak data loads. The Alumio iPaaS delivers horizontally and vertically scalable high-performance, cloud-native infrastructure, which can easily adapt to accommodate larger transaction volumes. Alumio delivers 99.95%+ uptime, enables data caching and buffering, and provides reactivation procedures.

Scalable integrations

Great uptime

Designed for high-traffic use cases

Discover what drives
our platform performance!

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Symfony-based framework

Learn about the renowned-open source PHP framework of our low-code integration platform.

Discover what drives our platform performance!

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