The following features and functionality are new in BlueCat Gateway v22.4.1:
Improved TLS/SSL security
Upload of TLS/SSL certificates through the Gateway UI
You can now upload the gateway.crt and gateway.key certificate files (that Gateway uses for HTTPS communications) from the Certificates tab of Gateway's General Configuration page. You can still upload them directly to the certificates/server folder if you prefer.
Updated default theme
The default visual theme has been changed to align with other BlueCat products that Gateway works with.
Improved IPv6 support
Gateway is now fully validated and certified with Integrity 9.4.0's IPv6 Transport feature within an IPv6-only environment.
Entity export API wrapper
The new API wrapper export_entities supports the export of objects or entity details for general use.
API support for High Availability of BDDS
- custom_search
- get_entities
- get_entities_by_name
- get_entities_by_name_using_options
- get_linked_entities
- get_entity_by_id
- get_entity_by_name
- get_parent
- search_by_category
- search_by_object_types
Dynamic deployment API support
- add_access_right
- update_access_right
- add_zone
UDL management API support
- add_user_defined_link
- update_user_defined_link
- link_entities_ex
- unlink_entities_ex
Encrypted communication API support
- add_server
- replace_server
Improved API security
When HTTPS and HTTP are not specified in a URL, the API client now assumes HTTPS by default.
Simplifications to the Environment and Platform classes
The class bluecat.gateway.platform.Platform is no longer initialized with an instance of Environment. Instead, it now uses an appropriate path-like object (such as str or Path).
- DevelopmentEnvironment
- ImageEnvironment
Internal package name change
The package internal has been renamed as _internal to comply with standard Python naming conventions for non-public items and objects.
Logger updates
The logger used for user-specific messages (g.user.logger) now strictly behaves as a LoggerAdapter from the standard Python library. For example, g.user.logger does not support the parameter msg_type.
BAM Python API Level 1 wrappers (Phase VI)
BlueCat Gateway continues the delivery of the BAM Python API Level 1 wrappers.
New in this release:
- get_additional_ip_addresses
Get a list of IPv4 addresses and loopback addresses added to the Service interface for DNS services.
- export_entities
Export an octet stream of specified object entities that can be transformed into JSON by an API client, saved as a file, or exported to a different system.
- get_linked_entities_by_udl
Return a list of objects detailing entities currently linked by a given UDL type, optionally qualifying results by source or destination entity ID.
- purge_history_now
Deletes historical data within a specified time period or after a specified timestamp.
- get_discovered_device_networks
Returns all networks of a specific device, discovered by running an IPv4 reconciliation policy.
- get_discovered_devices
Returns a list of Layer 2 or Layer 3 devices, discovered by running a specific IPv4 reconciliation policy.
- get_discovered_device_arp_entries
Returns all ARP entries of a specific device, discovered by running an IPv4 reconciliation policy.
- get_discovered_device_hosts
Returns all hosts of a specific device, discovered by running an IPv4 reconciliation policy.
- get_discovered_device
Returns the discovered device, discovered by running an IPv4 reconciliation policy.
- get_discovered_device_interfaces
Returns all interfaces of a specific device, discovered by running an IPv4 reconciliation policy.
- get_discovered_device_mac_address_entries
Returns all MAC address entries of a specific device, discovered by running an IPv4 reconciliation policy.
- get_discovered_device_vlans
Returns all VLANs of a specific device, discovered by running an IPv4 reconciliation policy.
Experimental GraphQL support
This release includes an experimental GraphQL API support. Harness the power and flexibility of GraphQL to fetch Address Manager data simply and efficiently. While this functionality is not intended or planned for large data set retrieval, it can improve efficiency in the retrieval of small but relevant data.