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---
title: Upgrade OpenMetadata
slug: /deployment/upgrade
---
# Upgrade OpenMetadata
## Releases
The OpenMetadata community will be doing feature releases and stable releases.
- Feature releases are to upgrade your sandbox or POCs to give feedback to the community and any potential bugs that the community needs to fix.
- Stable releases are to upgrade your production environments and share it with your users.
## Backup Metadata
Before upgrading your OpenMetadata version we recommend backing up the metadata.
The source of truth is stored in the underlying database (MySQL and Postgres supported). You can refer
to the following guide for our backup utility:
{% inlineCalloutContainer %}
{% inlineCallout
color="violet-70"
icon="luggage"
bold="Backup Metadata"
href="/deployment/backup-restore-metadata" %}
Learn how to back up MySQL data.
{% /inlineCallout %}
{% /inlineCalloutContainer %}
## Upgrade your installation
Once your metadata is safe, follow the required upgrade instructions:
{% inlineCalloutContainer %}
{% inlineCallout
color="violet-70"
icon="fit_screen"
bold="Upgrade a Kubernetes Deployment"
href="/deployment/upgrade/kubernetes" %}
Upgrade your Kubernetes installation
{% /inlineCallout %}
{% inlineCallout
color="violet-70"
icon="celebration"
bold="Upgrade a Docker Deployment"
href="/deployment/upgrade/docker" %}
Upgrade your Docker installation
{% /inlineCallout %}
{% inlineCallout
color="violet-70"
icon="storage"
bold="Upgrade a Bare Metal Deployment"
href="/deployment/upgrade/bare-metal" %}
Upgrade your Bare Metal installation
{% /inlineCallout %}
{% /inlineCalloutContainer %}
## 1.1 - Stable Release 🎉
OpenMetadata 1.1 is a stable release. Please check the [release notes](/releases/latest-release).
If you are upgrading production this is the recommended version to upgrade to.
## Deprecation Notice
- The 1.1 Release will be the last one with support for Python 3.7 since it is already [EOL](https://devguide.python.org/versions/).
OpenMetadata 1.2 will support Python version 3.8 to 3.10.
- In 1.2 we will completely remove the Bots configured with SSO. Only JWT will be available then. Please, upgrade your
bots if you haven't done so. Note that the UI already does not allow creating bots with SSO.
- 1.1 is the last release that will allow ingesting Impala from the Hive connector. In the next release we will
only support the Impala scheme from the Impala Connector.
## Breaking Changes for 1.1 Stable Release
### Pipeline Service Client Configuration
If reusing an old YAML configuration file, make sure to add the following inside `pipelineServiceClientConfiguration`:
```yaml
pipelineServiceClientConfiguration:
# ...
# Secrets Manager Loader: specify to the Ingestion Framework how to load the SM credentials from its env
# Supported: noop, airflow, env
secretsManagerLoader: ${PIPELINE_SERVICE_CLIENT_SECRETS_MANAGER_LOADER:-"noop"}
healthCheckInterval: ${PIPELINE_SERVICE_CLIENT_HEALTH_CHECK_INTERVAL:-300}
```
### Secrets Manager YAML config
If you are using the Secrets Manager and running ingestions via the CLI or Airflow, your workflow config looked
as follows:
```yaml
workflowConfig:
openMetadataServerConfig:
secretsManagerProvider: <Provider>
secretsManagerCredentials:
awsAccessKeyId: <aws access key id>
awsSecretAccessKey: <aws secret access key>
awsRegion: <aws region>
hostPort: <OpenMetadata host and port>
authProvider: <OpenMetadata auth provider>
```
We are removing the `secretsManagerCredentials` key as a whole, so instead you'll need to configure:
```yaml
workflowConfig:
openMetadataServerConfig:
secretsManagerProvider: aws
secretsManagerLoader: airflow # if running on Airflow, otherwise `env`
hostPort: <OpenMetadata host and port>
authProvider: <OpenMetadata auth provider>
```
You can find further details on this configuration [here](/deployment/secrets-manager/supported-implementations/aws-secrets-manager).
## Service Connection Changes
### MySQL and Postgres Connection
Adding IAM role support for their auth requires a slight change on their JSON Schemas:
#### From
```yaml
...
serviceConnection:
config: Mysql # or Postgres
password: Password
```
#### To
If we want to use the basic authentication:
```yaml
...
serviceConnection:
config: Mysql # or Postgres
authType:
password: Password
```
Or if we want to use the IAM auth:
```yaml
...
serviceConnection:
config: Mysql # or Postgres
authType:
awsConfig:
awsAccessKeyId: ...
wsSecretAccessKey: ...
awsRegion: ...
```
### Looker Connection
Now support GitHub and BitBucket as repositories for LookML models.
#### From
```yaml
...
serviceConnection:
config:
type: Looker
clientId: ...
clientSecret: ...
hostPort: ...
githubCredentials:
repositoryOwner: ...
repositoryName: ...
token: ...
```
#### To
```yaml
...
serviceConnection:
config:
type: Looker
clientId: ...
clientSecret: ...
hostPort: ...
gitCredentials:
type: GitHub # or BitBucket
repositoryOwner: ...
repositoryName: ...
token: ...
```
### From GCS to GCP
We are renaming the `gcsConfig` to `gcpConfig` to properly define their role as generic Google Cloud configurations. This
impacts BigQuery, Datalake and any other source where you are directly passing the GCP credentials to connect to.
#### From
```yaml
...
credentials:
gcsConfig:
...
```
#### To
```yaml
...
credentials:
gcpConfig:
...
```
### Other changes
- Glue now supports custom database names via `databaseName`.
- Snowflake supports the `clientSessionKeepAlive` parameter to keep the session open for long processes.
- Kafka and Redpanda now have the `saslMechanism` based on enum values `["PLAIN", "GSSAPI", "SCRAM-SHA-256", "SCRAM-SHA-512", "OAUTHBEARER"]`.