Products that Power your Imagination

The complete suite of Ferris services, empowering your digital transformation journey!

Filling the technology gap that's been hindering fast, agile and sustainable data and servives integrations.

Ferris DX is a simple, scalable, cross-cloud, event-driven Integration Platform. Leveraging industry-standard, open-source technology to connect all your clouds, systems and data - whether it is for big data processing, stream processing, DevOps automation or AI/ML modelling.

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Ferris FX

Ferris FX puts the theory of the SOA (Services Oriented Architecture) paradigm into practice.

Reusable services are connected and orchestrated through event based triggers. Service containers are instantiated on demand and the services are executed instantaneously.

Simply put, you build your own scripts and services as you always do in your favourite IDE, you check them into your Git repository and sync it with Ferris FX. The Executor runs your services on demand, scheduled or triggered upon one or more events.

As Ferris FX integrates with any service on the cloud or on premise there’s no need to develop complicated one-off integrations or import scripts. As a developer you focus on what’s important to you - the services!

Ferris FX supports any programming language, and its configurative nature makes it extremely agile, adapting to changing scripts and configurations with little to no effort.

Ferris FX is integrated with Git services, such as GitHub or Bitbucket. Therefore, source code is maintained safely and version control is guaranteed. Moreso, the tight integration enables zero-code deployment of new models and services..

In summary, it takes a few steps to get first results:

• Check your code (service or model) into Git
• Setup a project in Ferris and connect it to your Git Repo
• Setup your service package and include any of your services or models
• Run the service

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Ferris Streaming Automation (SX) is our latest addition to the state-of-the-art DX suite.

A radically simplified approach to creating and deploying stream processing for 100s of Apache Kafka streams. Reduce the time to build stream processing applications by a factor of 10X or more.

Automate the way you source, stream and manage data and dramatically reduce the impact on topics management, DevOps and DataOps. While you focus on processing logic, SX handles the heavy lifting of topic, cotainer and resources management.

In summary, it takes a few steps to get first results:

• Build your own services and check them into Git
• Connect your code automatically to Streams and Topics
• Reuse services in as many topics as you wish
• Let SX do the heavy lifting
• Run the service and see results right away

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Ferris K8X

Event Driven Kubernetes, or short: K8X, will be putting a renewed focus on the capabilities and efficiency of Kubernetes.

It will come with endless possibilities to leverage millions of Docker images and connect them to technical as well as business processes, making it the most efficient and cost-effective management of compute resources.

Ferris K8X will be built for teams, making it easy to install, configure and maintain, eliminating the need for legions of expensive domain experts to run.

Run K8X as a service within the Kubernetes cluster, where:

• The power of millions of Docker images are harnessed
• Containers are chained to build on-demand and reusable processing pipelines
• Incoming requests are watched for, from services such as GitHub, Docker or cloud services
• Processes such as unit testing, ingestion, curation and data storage are executed
• Services such as Slack are handled

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