Changelog

Version 1.9.13 (Oct 9, 2024)

• Kubernetes: Added configurable service account name in profiles.

• Python: Added support for Python 3.12+.

• Security: Upgraded dependencies.

Version 1.9.12 (Sep 13, 2024)

• Security: Upgraded dependencies.

Version 1.9.11 (Jul 16, 2024)

• Security: Enabled FIPS-compliant encryption.

• Security: Upgraded dependencies.

Version 1.9.10 (Jun 11, 2024)

• Python: Fixed admin client missing custom_service_labels.

Version 1.9.9 (May 24, 2024)

• H2O Kubernetes: Added option to specify extra labels for Kubernetes Services.

• Security: Upgraded dependencies.

Version 1.9.8 (Nov 17, 2023)

• Driverless: Reduced startup time by preventing unnecessary data directory checks.

• Fixed inaccessible workloads when TLS is enabled.

Version 1.9.7 (Sep 1, 2023)

• H2O Kubernetes: Added option to specify extra environmental variables.

• Configuration: Added deprecation mode in the licensing configuration.

• Driverless: Fixed authorization forward URL exploit in legacy OIDC authentication.

• Security: Addressed vulnerabilities in the runtime image.

• Security: Upgraded dependencies.

Version 1.9.6 (Aug 7, 2023)

• Helm: Added annotations and labels for H2O Cloud integration.

• Helm: Added support to override the namespace where the chart is deployed to.

Version 1.9.5 (Jul 13, 2023)

• Driverless: Added option to toggle Triton (and CAP_SYS_NICE capability) on/off

• Hadoop: Added support for Hadoop 3.3

Version 1.9.4 (May 16, 2023)

• H2O Kubernetes: Added support for H2O 3.40

• Python: Reduced excessive logging of client requests

Version 1.9.3 (Apr 4, 2023)

• Driverless: Added support for Driverless AI 1.10.5

• Driverless: Automatic entity migration when changing the ownership on an instance

Version 1.9.2 (Mar 21, 2023)

• Added support for the H2O AI Cloud Discovery Service

Version 1.9.1 (Jan 25, 2023)

• Kubernetes: Added support for Kubernetes 1.26

• Kubernetes: Configurable seccomp profile

• Helm: Fixed support for custom CA certificates

• Helm: Removed unnecessary RBAC permissions

Version 1.9.0 (Dec 8, 2022)

• Driverless: Added support for single-user multinode clusters

• Driverless: Fixed maximum uptime detection

• Sparkling Water: Added support for the latest version of Sparkling Water

• Kubernetes: Disabled auto-mounting of service account tokens

• Kubernetes: Set specific secure default for Pod seccomp profile

• Python: Removed tokens from Python client logging

• Helm: Added support for custom CA certificates

Version 1.8.14 (Sep 13, 2022)

• Driverless: Added ability to change instance ownership

• Profiles: Fixed updating of users roles

• Reporting: Fixed session ready time being overwritten

Version 1.8.13 (Jul 12, 2022)

• Kubernetes: Improved resiliency to K8S API connectivity disruptions

• Kubernetes: Added support for marking engines as experimental

• Driverless: Improved resiliency to DAI API connectivity disruptions

• H2O Kubernetes: Fixed XGBoost functionality on clusters with additional security hardening

• H2O Kubernetes: Fixed cluster duration reporting

• H2O Kubernetes: Stopped cluster are now correctly referred to as “Terminated” in the UI

• Authentication: Fixed issues with usernames containing special characters

• Helm: Added option to preserve state (PVC) after deleting a Helm release

• Helm: Added option to include Openshift specific RBAC roles

• Python: Fixed a regression in the Python API

Version 1.8.12 (May 11, 2022)

• Driverless: Added an opt-in support for v2 OIDC authentication

• Kubernetes: Added an option to disable a profile

• Authentication: Added support for OIDC ACR values

• Python: Added a function to upgrade Driverless AI instances

• R Client: Fixed Windows connection errors by replacing RCurl with httr

• Security: New Kubernetes runtime Docker image

• Security: Additional hardening of Kubernetes deployed workloads

• Helm: Allow to pass extra env to Steam container

• Helm: Added support for v1 of Ingress

Version 1.8.11 (Feb 3, 2022)

• Log4j: Added automatic patching for H2O-3 engines containing vulnerable JAR files

• H2O Kubernetes: Added support for R client

• H2O Kubernetes: Added configurable startup options per profile

• H2O Kubernetes: Fixed dataset parameter calculator

• H2O Kubernetes: Fixed Flow directory not being in a writeable location

• Driverless: Expanded logs to include DAI logs of previous run

• Driverless: Improved startup indication of NotTriggerScaleUp event

• Driverless: Fixed instance upgrade for deleted engine versions

• Driverless: Fixed instance link being visible to admin users

• OIDC: Added expiry information to OidcTokenProvider

• OIDC: Fixed admin role not cleared properly when loosing admin privileges

• OIDC: Fixed personal access token in R client

• Python: Fixed admin user not being able to act upon instances of other users

• Documentation: Added H2O AI Cloud specific user documentation

• Documentation: Added H2O on K8S examples to Python client docs

Version 1.8.10 (Dec 2, 2021)

• LDAP: Added support for multiple authentication servers

• Kubernetes: Added support for manually mounted volumes

• Driverless: Fixed support for Driverless AI 1.10.1

• Driverless: Improved startup time

• Driverless: Added option to rename instances for regular users

• Driverless: Added option to Stop instances that are in Connecting state

• H2O Kubernetes: Fixed engine sorting

• Web UI: Added configurable support email address

• Sparkling Water: Fixed Jupyterhub database migration

• Helm: Fixed service annotations

• Docs: Fixed generate Python client admin documentation

• Security: Fixed reported security vulnerabilities

Version 1.8.9 (Oct 20, 2021)

• Driverless: Added support for renaming instances

• Driverless: Added support for increased shared memory

• Driverless: Fixed race condition in the reconciliation logic

• Driverless: Fixed fetching logs when init containers are in use

• H2O Kubernetes: Added ability to download logs from failed clusters

• Kubernetes: Added option to disable Host Path mount type

• Web Client: Fixed idle and up times for failed instances

• Web Client: Fixed frontend idle timeout not redirecting to the correct login page

• Python Client: Fixed Conda Python 2.7 client

• Python Client: Fixed DAI Python client download on shared systems

• Security: Fixed reported security vulnerabilities

• Documentation: Added a startup option to disable this feature

• Installation: Added configurable Livy and Jupyterhub ports

Version 1.8.8 (Aug 26, 2021)

• Kubernetes: Expanded functionality of init containers

• Driverless Kubernetes: Added support Driverless AI 1.10

• Driverless Kubernetes: Added an info screen for stopped instances

• Driverless Kubernetes: Fixed position of the “Refresh” button on the logs screen

• H2O Kubernetes: Added support for launching a copy of existing H2O cluster

• H2O Kubernetes: Added support for older H2O-3 K8S releases

• H2O Kubernetes: Fixed H2O usage report download

• Sparkling Water: Added support for Jupyter notebooks owned and stored in user location

• Web UI: Fixed dropdown in Volume Mounts not updating state

• OIDC: Fixed users not being re-created when identity changes

• LDAP: Fixed search filter escaping

• Security: Added options to define if administrators can stop and delete instances/clusters

• Security: Added Secure Cookie flag option

• Security: Disabled autocompletion on the login screen

• Security: Updated dependencies

• Python: Added get_instances to DriverlessClient

• Python: Added AdminClient.enable_dai_kubernetes & AdminClient.enable_h2o_kubernetes

• Python: Fixed error with AdminClient.delete_user_resources

• Docs: Fixed container tolerations & init containers help text

Version 1.8.7 (Jul 15, 2021)

• Added configurable global prefix for all Steam URLs

• Kubernetes: Added support for init containers

• Kubernetes: Added support for tolerances

• Kubernetes: New smaller Docker image for Steam on Kubernetes only

• Kubernetes: Improved timeout failure error description

• Driverless Kubernetes: Fixed restarting instances through Python client

• Driverless Kubernetes: Fixed status refresh rate for running instances

• H2O Kubernetes: Fixed issues with empty GPU Resource Name

• H2O Hadoop: Reduced IO load when submitting Hadoop jobs

• H2O Hadoop: Added support for SSL JDBC URL

• H2O Hadoop: Improved environment logging

• Security: Added option to not serve non-TLS requests

• Docs: Improved Kubernetes CPU definition

• Docs: Improved Hadoop impersonation guide

• Installation: Helm: Removed wildcard resources from Role

Version 1.8.6 (Jun 15, 2021)

• H2O Hadoop: Added configurable prefix for output directory

• H2O Kubernetes: Fixed external XGBoost crash

• Driverless Kubernetes: Fixed logging issue that can cause out of memory crashes

• Python Client: Added option to establish http connection to Steam server

• Documentation: Added troubleshooting steps for Sparkling Water on Hadoop

Version 1.8.5 (Jun 2, 2021)

• Driverless Kubernetes: Added option to specify Load Balancer source ranges

• H2O Kubernetes: Fixed Forbidden error with non unique cluster names

• Sparkling Water: Added configurable YARN job prefix

• Kubernetes: No longer setting security context if no UID or GID is provided

• Kubernetes: Added support for automatic restarts when using Linkerd

• Kubernetes: Added ability to trace cluster launch events

• Profiles: Fixed duplicate profiles appearing to users

• R Client: Fixed launching H2O cluster

Version 1.8.4 (Apr 30, 2021)

• Driverless AI: Added user-configurable config.toml feature

• Auth: Fixed “Bcrypt” error when logging in

• Auth: Fixed “Too Many Redirect” error when admin account is disabled

• OIDC: Fixed Python login invaliding refresh token

• Web Client: Fixed typo on the H2O-3 cluster sizing screen

• Docs: Fixed issues with searching in documentation

• Docs: Fixed “Getting Started” R Client documentation

• Licensing: Fixed license manager validation

Version 1.8.3 (Apr 22, 2021)

• Driverless Kubernetes: Added configurable timeout to profiles

• Driverless Kubernetes: Added option to change profile of existing instances

• H2O Kubernetes: Fixed cluster list sorting

• Multinode Kubernetes: Allowed cluster name reuse

• Multinode Kubernetes: Added error message when started by non-oidc user

• Kubernetes: Fixed special characters in usernames causing failed clusters/instances

• H2O Hadoop: Timeout parameter now applies to the execution of hadoop commands as well

• Sparkling Water: Fixed Spark properties not accepting multiple values

• Python Client: Added support for multiple client connections in one Python session

• Python Client: Added admin method for terminating all clusters/instances of a user

• Python Client: Added backend_version_override for Driverless connection

• Python Client: Added no_proxy argument for h2osteam.login

• Login: Changed login button text and added option to hide the administrator access button

• Localization: Fixed issues with Turkish user input

Planned deprecations

• Python Client: use of static methods of DriverlessClient, MultinodeClient and H2oKubernetesClient will be removed in the 1.9 version in favor of class methods

• Python Client: class SteamClient and all of its methods will be removed in the 1.9 version in favor of dedicated clients H2oClient and SparklingClient

Version 1.8.2 (Apr 7, 2021)

• H2O on Hadoop: Added support for fault tolerant Grid Search

• H2O on Kubernetes: Added support for overriding Java and H2O arguments

• Sparkling Water on Hadoop: Added support for connecting to the underlying H2O cluster thorough the Python client

• Kubernetes: Added support for profile defined Pod labels and annotations

• OIDC: Added support for Personal Access Token

• OIDC: Added support for IDPs with single use refresh tokens

• OIDC: Added support for supplying fresh access token to Driverless AI client

• OIDC: Added support for configurable logout link

• OIDC: Fixed race condition when refreshing tokens

• PAM: Added support for user groups

• Local: Added support for Roles in local authentication mode

• Security: Added an option to disable the default admin user

• Licensing: Added support for uploading license via the Python client

• Helm Installation: Fixed PersistentVolumeClaim override not applying

• Helm Installation: Added configurable Pod labels and metadata

• Autodoc: Removed autodoc integration

• Documentation: Added link between user and admin guide

• Documentation: Improved Driverless AI documentation

Version 1.8.1 (Mar 2, 2021)

• New Feature: Added support for external H2O XGBoost cluster on Kubernetes

• New Feature: Added support for H2O internode security on Kubernetes

• New Feature: Added support for usage reporting for H2O on Kubernetes

• New Feature: Added support for mounting Kubernetes volumes to H2O

• H2O: Fixed cluster saving when timeout was reached

• Sparkling Water: Added support for Sparkling Water 3.32

• OpenID: Improved token validation and refreshing

• OpenID: Fixed enabling OpenID authentication

• Licensing: Added support for H2O License Manager for Driverless AI

• Licensing: Added support for new Steam license format

• Security: Prevent configurations passed as Env Vars to be persisted on disk

• Documentation: Added R client PDF documentation for offline use

• Python Client: Disabled strict version check

• Python Client: Fixed issue that prevented connection to OpenID secured instances using own DAI client

• Web Client: Stopped blocking browsers that are not Chrome or Firefox

• Web Client: Improved loading indicators

• Helm Installation: Added support for new IngressClass name parameter

Version 1.8.0 (Feb 1, 2021)

• New Feature: Added support for H2O-3 on Kubernetes

• New Feature: Added support for Multinode Driverless AI clusters

• New Feature: Added support for saving and restoring state of H2O clusters on Hadoop

• Kubernetes: Added option to specify pull policy and pull secret when creating engines

• Kubernetes: Added support for custom Load Balancer annotations

• Kubernetes: Added configurable fallback UID/GID for launching Pods

• Kubernetes: Fixed incorrect GPU usage on GPU hosts

• Authentication: Added configurable session duration

• Python Client: Added support for login with OpenID access/refresh token

• OpenID: Obtaining Personal Access Token returns the OpenID refresh token

• OpenID: Added support for nested claims in OIDC tokens

• Configuration: Added support for configuration through environmental variables

• Installation: Helm: Fixed LoadBalancer port not being respected

• Documentation: Fixes and improvements to Steam documentation

Version 1.7.7 (Dec 17, 2020)

• H2O: Improved automatic cluster sizing to support binary file formats

• Driverless AI: Added missing max_idle_h and max_uptime_h parameters in the Python Client

• Driverless AI: Prevent attempts to connect to non-running instance with the Python Client

• Driverless AI: Fixed an issue when upgrading instances

• Driverless AI: Fixed an issue that caused instances to fail prematurely

• Driverless AI: Fixed server assignment for the h2o-agent backend

• Driverless AI: Deprecated h2o-agent backend in favor of kubernetes backend

• Sparkling Water: Fixed an issue with data import from Kerberized Hive

• OpenID: Added support for Google OpenID provider

• OpenID: Fixed metadata validation

• OpenID: Improved group membership extraction and logging

• LDAP: Prevent group search when no group configuration was provided

• LDAP: Fixed group search issue with certain LDAP providers

• Profiles: Fixed issue when matching roles to profiles

• Profiles: Fixed duplicate profiles on selection screen

• Users: Disable profile assignment checkboxes that would have no effect

• Users: Added an option to manually override the admin user

• Python Client: Now downloadable from Web Client

• Python Client: Added toml dependency for Driverless AI Client

• Autodoc: Upgraded autodoc to 1.0.3-301

• Installation: Switched from initv to systemd for RPM installations

• Installation: Added support for Helm v2

Version 1.7.6 (Nov 3, 2020)

• Driverless AI: Added integration with ModelOps (h2oai-storage)

• Driverless AI: Added support for profile resource limits

• Driverless AI: Added UI elements to see status of starting instances

• Driverless AI: Added data export to monitor usage

• Driverless AI: Fixed profile instance limit not being honored

• Driverless AI: Fixed permission errors when launching instances with custom UID

• Driverless AI: Fixed administrators being able to Start and Terminate instances of regular users

• H2O: Started logging shutdown events into H2O logs

• Autodoc: Upgraded H2O Autodoc to v1.0.3-279

• Kubernetes: Cluster-wide RBAC permissions are no longer required

• Kubernetes: Automatically detect Namespace

• Kubernetes: Automatically detect default StorageClass

• Kubernetes: Added support for amd.com/gpu

• OpenID: Added support for mapping OpenID groups to roles and profiles

• OpenID: Automatically detect correct login/logout URLs

• OpenID: Logout will now correctly end OpenID session

• OpenID: Fixed passing of access tokens between applications

• Roles: Reworked the Roles screen to map user groups to Steam roles

• Licensing: Improved the License screen to accept license strings in addition to license files

• Licensing: Added support for LicenseManager issued licenses

• Docker: Reduced the size of the Docker image

Version 1.7.5 (Sep 29, 2020)

• H2O: Increased timeout for initial connection to the cluster

• Driverless AI: When enabled, instances are protected with OpenID authentication

• Driverless AI: Added support for Minio connector

• Driverless AI: Pass sensitive config.toml values as Secrets on Kubernetes

• Driverless AI: Added ability to download logs from failed/stopped instances

• Driverless AI: Instances now use the correct amount of cores instead of all cores

• Helm: Added Ingress example

• Helm: Allow mounting of additional volumes to Enterprise Steam

• Helm: Allow configurable runAsUser

• Fixed http to https redirect to prevent issues when deployed behind reverse proxy

• Fixed issue with Driverless AI profile selector in Web Client

• Fixed invisible instance name requirements in Web Client

• Fixed RPM installation warning

Version 1.7.4 (Sep 14, 2020)

• Installation: Created Helm Chart for installation on Kubernetes

• Python Client: Added automatic cluster sizing for H2O and Sparkling Water

• Documentation: Added Getting Started guide for Python client

• Autodoc: Upgraded H2O Autodoc to v1.0.2-256 and added support for new parameters

• Fixed Rsparkling for Sparkling Water >3.28.0.4

• Fixed Driverless instance license is not updated when global DAI license changes

• Fixed error when launching an instance with extra env variables from profiles

• Fixed error when configuring authentication other than OpenID

Version 1.7.3 (Sep 2, 2020)

• New Feature: Added support for external H2O XGBoost cluster

• New Feature: Added support for OpenID connect authentication

• New Feature: Added support for PAM authentication

• New Feature: Added management of Kubernetes volumes

• Driverless AI: Added support for HDFS and Hive data connectors

• Driverless AI: Added monitoring and limits for idle and uptime

• Driverless AI: Existing instance storage can now be expanded if supported by Kubernetes StorageClass

• Driverless AI: Additional environmental variables can be passed to the instance using a profile

• Driverless AI: Instance are now started using user’s UID and GID if provided

• Autodoc: Upgraded H2O Autodoc to v1.0.2-254

• Kubernetes: All Kubernetes objects created by Enterprise Steam are now properly labeled

• Logging: Support bundle now also contains Steam configuration and logs if exported by an administrator

• Configuration: Exported configuration can now be automatically loaded on first launch to help fully scripted installations

• H2O, Sparkling Water, Driverless AI: Stuck clusters/instance can be marked as failed and deleted

• Fixed incorrect validation of Driverless AI storage on instance restart

• Fixed “database is locked” error when database is under heavy load

• Fixed Sparkling Water memory overhead calculation for XGBoost

• Fixed incorrect archive extension with H2O R package

• Fixed an error when R Client failed to connect to H2O cluster

Version 1.7.2 (Jul 9, 2020)

• New Feature: Added managed Driverless AI Python client

• Licensing: License is now accepted as base64 encoded file as well

• Web Client: Added a profile option to enable old cluster launch screen

• Web Client: Fixed missing Sparkling Water driver parameters

• Web Client: Fixed an error with unassigned Python environments

• Web Client: Fonts now display properly on offline installations

• Python Client: Fixed an issue with importing engines

• Installation: Upgrade now preserves ownership of Steam files and directories

• Documentation: Greatly improved the user documentation

• Documentation: Fixed Driverless AI examples in Python client documentation

Version 1.7.1 (Jun 8, 2020)

• Web Client: Added H2O logs to the Logs screen and download bundle

• Web Client: Fixed Conda environment upload

• Python Client: Added backward compatibility with Enterprise Steam v1.6

• Python Client: Fix for cacert bundle not being used when connecting to H2O

• Driverless Kubernetes: Fixed liveness probe being too strict in some cases

• Autodoc: Updated autodoc

• Autodoc: Added Autodoc logs to the Logs screen and download bundle

• Installation: Added support for high availability installation

• Documentation: Documented high availability installation

• Authentication: Login sessions now persist across Enterprise Steam restarts

• Dependencies: Upgraded dependencies

Version 1.7.0 (May 25, 2020)

• Major: Added support for running Enterprise Steam inside Kubernetes cluster

• Major: Added support for deploying and managing Driverless AI instances on Kubernetes

• Major: Added support for ML-Autodoc for automated H2O model documentation

• Web Client: Redesigned the Web client for managing H2O/Sparkling Water clusters and Driverless AI instances

• Web Client: Added automatic H2O and Sparkling Water cluster sizing when launching clusters

• Web Client: Added support for displaying and downloading YARN logs of H2O and Sparkling Water clusters

• Web Client: Added support for displaying and downloading H2O driver logs

• Web Client: Added support for displaying and downloading Sparkling Water spark-submit logs

• Web Client: Added support for displaying lifecycle events of H2O/Sparkling Water clusters and Driverless AI instances

• Web Client: Added support for launching copies of H2O and Sparkling Water clusters

• Web Client: Improved validation when launching H2O/Sparkling Water clusters and Driverless AI instances

• Python Client: New API client

• R Client: New API client

• H2O: Added configuration to add YARN job name prefix

• H2O: Added support for importing engine from the server

• Sparkling: Added support for importing engine from the server

• Sparkling: Added configuration to add extra JARs to the classpath

• Sparkling: Added configurable maximum idle and uptime for clusters

• Documentation: New documentation for Python client

• Documentation: New documentation for R client

• Documentation: New documentation for using ML-Autodoc with Enterprise Steam

• Installation: Simplified installation and upgrade

• Installation: Moved initial administrator setup from CLI to the Web Client

• Installation: Added separate directories for static assets and data to support high availability deployments

• Dependencies: Upgraded dependencies

• Dependencies: Replaced HAProxy with Traefik

• Various other fixes and improvements

Version 1.6.7 (Apr 28, 2020)

• Fixed issue with environments containing multiple Spark installations

Version 1.6.6 (Apr 20, 2020)

• Added support for Hive in H2O and Sparkling Water

• Added support for Sparkling Water engines 3.28.1.1 and higher

• Added option to allow insecure XGBoost

• Fixed parsing of Spark properties containing ‘=’

• Fixed possible corruption of HAProxy configuration

Version 1.6.5 (Mar 2, 2020)

• Fixed custom Hadoop temporary directory to be part of HADOOP_CLIENT_OPTS

Version 1.6.4 (Feb 12, 2020)

• Fixed error in Hadoop Helper for Java 7 Hadoop distributions

• Fixed error when creating Python environment with the same name as deleted environment

• Improved validation and documentation for LDAPs with internal certificate authority

• Improved documentation for Driverless AI config.toml override

• Improved documentation for Driverless AI installation prerequisites

Version 1.6.3 (Jan 31, 2020)

• Supports RSparkling 3.28

• Use Hadoop Tmp Dir for Hadoop Helper commands to prevent slowdowns

• Fixed an issue with old DAI servers preventing instances from loading

• Fixed server panic with invalid LDAP over TLS configuration

• Fixed initial LDAP config requiring server restart

Version 1.6.2 (Jan 20, 2020)

• Supports Sparkling Water 3.28

• Fixed LDAP over TLS

• Fixed SAML token login in R client

• Fixed H2O profile not saving YARN queues

Version 1.6.1 (Jan 14, 2020)

• Fixed mutual TLS setup

• Fixed Driverless AI version parser

• Add datatable_strategy WRITE to default DAI launch config

• Add Driverless AI instance password to the instance details

• Docs: Updated copyright year to include 2020

Version 1.6.0 (Dec 18, 2019)

• Complete UI overhaul of configuration page for administrators.

• New administrator settings for individual products and deployment backends and other configuration.

• Improved UI/UX experience.

• Moved most of the settings from steam.yaml into the administrator configuration in Steam UI.

• Configuration file steam.yaml is no longer required.

• Enabling Hadoop backend now thoroughly validates all settings to ensure they are correct (Proxyuser, Kerberos, …).

• Added ability to export and import configuration.

• Several settings no longer require Enterprise Steam restart.

• Added indicator when Enterprise Steam needs to restart to apply changes.

• Added option to use existing Livy server for Sparkling Water as long as it is on the same host as Enterprise Steam.

• HAProxy comes bundled and does not need to be installed separately.

• Steam Hadoop Helper (Steam Manager) comes bundled and does not need to be installed separately.

• Additional HADOOP_CLASSPATH options can be added when launching H2O clusters.

• Added ability to download complete Enterprise Steam logs from the UI.

• Added SAML configuration validation.

• Added cacert option when connecting to Steam or H2O clusters via Python client.

• Added option to ensure internal secure connections with H2O and Sparkling Water clusters.

• Added warning when uploading non-Hadoop version of H2O engine.

• Improved database migration.

• Improved validation of H2O Launch Parameters.

• Fixed bug where Sparkling Water could not launch when users reused cluster names.

• Fixed bug where Sparkling Water could not launch when the cluster name contained spaces.

• Fixed UI issue when uploading Python environments with the same name.

• Fixed Python environment selection when no Python environments assigned.

• Fixed auto-assigment of profiles to LDAP groups

Version 1.5.1 (Nov 21, 2019)

• Fixed a database migration bug affecting new installations.

Version 1.5.0 (Oct 10, 2019)

• Added ability to launch Driverless AI instances.

• Added ability to use Conda environments with Sparkling Water

Version 1.4.11 (Oct 1, 2019)

• Fix token authentication in Python client when SAML is used

• Fix R and Python client when internal and external ports do not match

• Support recent versions of Sparkling Water

Version 1.4.10 (Jul 19, 2019)

• Added an ability to download H2O logs from Steam UI

• Added a config option for custom KRB5_CONFIG (STEAM_KRB5_CONFIG)

• Added support for templating in YARN queue names

• Added a check to ensure the Spark version and Sparkling Water version match

• Added a check to warn admin if Steam port is occupied

• Improved fetching of H2O YARN job status to now use impersonation

• Fixed h2osteam Conda package

• Fixed issue when Sparkling Water cluster failed to start when SPARK_YARN_MODE property was set

Version 1.4.9 (May 21, 2019)

• Added Conda packages for Python client

• Added ability to delete multiple stopped clusters at the same time

• Added Python PySpark path configuration to profile

• Added YARN queue configuration to user setting

• Removed the need for secondary external port

• Configuration fields are now protected from trailing and leading whitespace characters

• Updated pysparkling dependencies for Python2

• Fixed an issue with YARN usernames being lowercased when they were not configured to do so

Version 1.4.8 (Apr 15, 2019)

• Add support for RSparkling through Jupyter notebook

• Add option to disable Jupyterhub

• Expose internal address and node ID for H2O cluster in the Steam Web UI

• Add option to specify path to custom Pyspark Python for Sparkling Water

• Fix pysparkling dependencies for Python3

• Updated engine upload backend

Version 1.4.7 (Apr 3, 2019)

• Fix Sparkling Water proxy issue with upercase usernames

• Improve uploading h2o-3 engines

• Set SPARK_YARN_MODE correctly based on the hadoop distribution

Version 1.4.6 (Apr 1, 2019)

• Added ability to choose H2O-3 Leader Node when starting a cluster

• Added ability to control the number of clusters a user can spin per cluster profile

• Added option to select default Sparkling Water backend

• Added automatic redirection back to login with an expired session cookie

• Added an ability to auto-assign Steam profiles according to SAML profiles

• Docs: Add “Before you begin installation” section

• Docs: Documented steam.yaml configuration options

• Docs: Updated documentation

• Fix an issue when Steam was hitting API endpoints of dead clusters

• Fix and issue when hadoop-unjar files were not deleted from temp directory

• Fix issue with upercase usernames and Sparkling Water on Hadoop

Version 1.4.5 (Mar 22, 2019)

• Added Configurable Steam Web UI timeout (STEAM_WEB_UI_TIMEOUT_MIN)

Version 1.4.4 (Feb 20, 2019)

• Make log file permissions configurable (STEAM_LOG_PERMISSIONS)

• H2O: Communicate with cluster using leader node only

• SW: Added support for Hive tables

• SW: Disable Spark dynamic allocation for internal backend

• SW: Bundle and distribute all pysparkling dependencies

• LDAP group configuration is no longer mandatory

• Bug fixes for Jupyterhub

• Bug fixes for Sparkling Water params

• Bug fixes for CDH5

Version 1.4.3 (Jan 29, 2019)

• Added ability to provide secure HTTP headers (SERVER_STRICT_TRANSPORT, SERVER_X_XSS_PROTECTION, SERVER_CONTENT_SECURITY_POLICY)

• Improved logging output, time in UTC

• Accept encrypted TLS private keys

• Log files permissions elevated for the group

• Bug fixes for HDP Spark

• Bug fixes for Sparkling Water integration

• Bug fixes for Steam Python API

• Bug fixes for LDAP connector

• Bug fixes for Jupyterhub

• Bug fixes for Steam Web UI

Version 1.4.2 (Jan 1, 2019)

• Add ability to upload H2O engine jar from Python/R API

• Remove cluster dialog waits until cluster has been shut down

• Log successful logins

• Log files permissions reduced

• Steam nbextension shows “please wait” when changing clusters

• Document setup and troubleshooting steps for Hadoop/Kerberos configuration

• Bug fixes

Version 1.4.1 (Dec 3, 2018)

• Enable Sparkling Water API from API

• Hide disabled user with a checkbox

• Display message if there are no clusters to show

• Fix glibc dependency for steam binary

• Fix documentation version

• Add release notes to documentation

Version 1.4.0 (Nov 23, 2018)

• Add Sparkling Water integration

• Add SAML authentication

• Add More detailed cluster profiles

• New cluster overview

• New launch cluster page

• Add option to generate Personal access tokens