2023

January 2023

Here are the highlights of new and updated features for this release:

  1. Product Updates (2023.01)
    A new version of Saagie has been released with the following features:

    • New elements to monitor resource consumption have been created.

    • A new add-on, called Saagie Usage Monitoring Tool, can be deployed as an app inside projects.

    • Pipeline functionality has been enhanced to allow context propagation between jobs in a pipeline.

    • Saagie will now be installed with a ready-to-use example project, which goal is to propose an intelligent learning pipeline able to detect feelings on movie reviews.

    • Saagie now supports Kubernetes 1.23.x.

    • The product version naming pattern has changed.

  2. Saagie’s Technology Repository Updates
    New technology versions and external job technologies have been added.

Product Updates (2023.01)

Resource Monitoring

New resource monitoring pages have been added throughout Saagie to monitor resource consumption, from a platform level down to a specific item.

As the The "Monitoring" module icon is a heart with an electrocardiogram in it. Monitoring module is not fully operational and cannot be configured, no resource data can be displayed on this page yet. However, you still have information about the number of platform, jobs, pipelines, and apps.
This section is here as preventive information. Stay tuned, this feature will be available for the upcoming release!

At the platform level, you can access the The "Monitoring" module icon is a heart with an electrocardiogram in it. Monitoring module to see an overview of your platform. This page displays the number of projects, jobs, pipelines, and apps created on the selected platform, as well as resource capacity metrics for CPU, RAM and storage for each node in the platform.

In the The "Overview" page icon is a square divided into several other squares. Overview page of jobs and apps, you can access new graphs displaying runtime and resource consumption metrics for the last running instance.

Besides the resource consumption limits that can already be defined for jobs and apps, Saagie’s focus on monitoring will help data engineers and platform administrators quickly identify bottlenecks, debug memory-starved jobs and apps, and better optimize resource usage on the platform.

Saagie Usage Monitoring Tool

The new Saagie Usage Monitoring Tool add-on can be installed on your platforms as an app, to monitor:

  • The amount of jobs and apps created, with their high-level metadata.

  • Metrics on the execution time and status of jobs and pipelines.

  • Metrics on the global usage of the storage volume associated with Saagie.

This app, based on Grafana, is available as an app technology in the Saagie’s official technology repository and can be installed in any project.

This app requires some configuration to work. Click the information icon info circle to display the READ-ME help file directly in Saagie.
As this app is designed to display cross-project metrics, Saagie recommends deploying it in a dedicated administration project.

Context Propagation Between Jobs in Pipelines

In addition to existing environment variables that are set at the global or project levels, you can now create environment variables inside a pipeline and use them to transfer information between jobs during a pipeline execution.

These variables can be dynamically modified by jobs as the pipeline execution progresses, with a table displaying for each job the input and output values of variables.

This feature allows you to build smarter pipelines and paves the way to conditions based on a pipeline environment variables.

For more information, see the Pipeline Overview Page.

Saagie Project Example

Saagie will now be installed with a ready-to-use example project, which goal is to propose an intelligent learning pipeline able to detect feelings on movie reviews. It is accessible from your platform’s project library.

For more information, see Starting With the Saagie Project Example

Kubernetes 1.23.x Support

This new version of the Saagie installer is now also compatible with Kubernetes versions 1.23.x.

For more information on supported versions of Kubernetes, see System Requirements.

Product version naming convention

For clarity on the product version you are using, it will now follow a new naming convention made up of the year, and the product version increment for the year. For this version, it is 2023.01.

Saagie’s Technology Repository Updates

The following technology versions and external job technologies have been added to the official Saagie technology repository:

  • Embedded and External Job Technologies

  • App Technologies

Technologies New contexts

Bash
Badge for EXTERNAL JOB

debian11-bullseye STABLE RECOMMENDED

Java/Scala
Badge for EMBEDDED JOB

17 STABLE RECOMMENDED

Talend
Badge for EMBEDDED JOB

Use_Java_17 STABLE RECOMMENDED

GCP Cloud Data Transfer
Badge for EXTERNAL JOB

EXPERIMENTAL

GCP Cloud Functions
Badge for EXTERNAL JOB

EXPERIMENTAL

GCP Cloud Run
Badge for EXTERNAL JOB

EXPERIMENTAL

GCP Dataflow
Badge for EXTERNAL JOB

EXPERIMENTAL

Dataiku
Badge for EXTERNAL JOB

EXPERIMENTAL

Technologies New contexts

Apache Superset

2.0 EXPERIMENTAL

Grafana

9.2 STABLE RECOMMENDED

Metabase

0.44 STABLE

MLFlow Server

2.0 STABLE

Do not forget to synchronize your Saagie repositories to keep them up to date.