Preeti
SPI Logistics, a logistics management and freight transportation services company in Surrey, British Columbia, has been eager to add AI-driven automation to its business workflows amid the generative AI boom. The company first needed an IT automation platform that would be easy for both developers and a small IT ops team to use. SPI began to modernize its architecture from monoliths into microservices more than two years ago. It used a combination of the AWS Step Functions serverless event-driven application framework and open source Apache Airflow for workflow management. However, as SPI’s microservices multiplied and the company began to contemplate adding AI apps into the mix, its IT ops staff knew it needed a more formally packaged alternative.
In 2022, SPI evaluated alternatives to its internally built microservices workflow approach and came across microservices orchestration tools. Microservices orchestration tools use a centralized control plane to manage sequentially ordered workflow steps that are distributed among compute nodes called workers. SPI considered commercial microservices orchestration tools from Camunda, implementing microservices orchestration on its own using AWS Step Functions and tools other than Airflow for data management, and self-managing Netflix Conductor. Eventually, SPI encountered Orkes, a cloud managed service provider founded by the creators of Conductor to run the microservices orchestration framework for enterprises. A year ago, SPI put Orkes Cloud into production.
Orkes added a set of prepackaged workflows for AI microservices orchestration this month, which supports large language models and vector databases. Having microservices orchestration in place as the company adopts generative AI to analyze images and documents for classification or summarize available contracts in the bidding process will help SPI work more efficiently.
As the initial generative AI hype dies down and enterprises search for ways to use it that align with existing workflows and governance practices, vendors from virtually every corner of the IT market are vying for their attention. Deciding which IT automation tools to use will come down to the nature of the distributed applications businesses need and the skills available among IT teams to manage various automation tools.
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Source link: https://www.techtarget.com/searchitoperations/feature/Logistics-firm-taps-Netflix-Conductor-service-to-manage-AI
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