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Freightos Scales Global Shipping on GKE

DoiT guided the migration from monolith to microservices on Google Kubernetes Engine, unlocking autonomous teams and an automated CI/CD pipeline.

Meet Freightos

The global logistics market is estimated to grow to $12.6 billion by 2023, and digitization is opening up new opportunities for reducing costs and redefining business models. Freightos.com aims to be at the center of that change, making global trade frictionless as the world's online marketplace for the trillion-dollar international shipping industry. Founded in 2012, the company has six offices across the United States, Europe, Asia, and the Middle East and works with major retailers such as Marks and Spencer.

The Challenge

Freightos needed to process large volumes of data quickly for its freight marketplace platform. The company wanted to speed up testing and delivery cycles while creating more efficient workflows for international development teams. Their monolithic infrastructure was limiting agility and collaboration across teams in different regions.

The Solution

Freightos worked with DoiT to migrate to Google Kubernetes Engine, moving from monolithic services to microservices architecture. The solution included App Engine flexible environments for high-speed in-memory data access, plus Compute Engine, Pub/Sub, Dataflow, Cloud SQL, Datastore, BigQuery, and Google Data Studio. They implemented Apigee API Management Platform to expose APIs to freight forwarders.

Results

Automated CI/CD pipeline replaced time-consuming manual testing processes
Development teams can now work autonomously on individual services
Platform stability improved through microservices architecture
Enhanced collaboration across international teams in Barcelona, Jerusalem, and Ramallah

DoiT has been really great in terms of helping us see where we can be more efficient. We use its reOptimize platform for monthly cost predictions and to continuously optimize our Google Cloud activity.
Michi Kossowsky, CTO

Processing Massive Data Volumes

Freightos receives hundreds of thousands of searches daily and generates quotes by searching through tens of millions of data points from more than 75 freight providers. The platform requires high-speed in-memory data access to run graph-search algorithms. Using App Engine flexible environments, Freightos gained access to 200 GB of routing data. BigQuery serves as the foundation of their analytics, enabling rapid queries of tremendous data volumes with minimal maintenance.

Microservices Migration with GKE

Freightos took a multiphased approach to re-architect its infrastructure, migrating from monolithic services to microservices on Google Kubernetes Engine. The new architecture includes Compute Engine, Pub/Sub, and Dataflow for the application pipeline, with Cloud SQL and Datastore providing operational storage. This transformation enabled easier scaling and deployment, with testing and production environments now identical.

Coordinating International Teams

Since switching to microservices using GKE, Freightos finds it easier to coordinate development teams across Barcelona, Jerusalem, and Ramallah. The ability to work together and collaborate closely has been transformative. G Suite supports team collaboration through real-time editing with Docs and meetings using Hangouts Meet, becoming central to how the company operates.

API Management and SaaS Offerings

Freightos offers its platform software on a SaaS basis, allowing freight forwarders to quickly provide shipping rate quotes to customers. Using Apigee API Management Platform with Apigee developer portal, they export APIs for freight forwarder access. This approach makes it easy to export and expose APIs, encouraging adoption among customers.

Future Machine Learning Applications

Freightos is exploring Google Cloud machine learning tools for several applications. Potential use cases include automatically identifying and matching commodities to HS product classification codes, creating predictive transit time estimators based on past carrier performance, and analyzing seasonal and weather factors. Their goal is to become the number one freight marketplace while driving industry standardization.

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