Azure Logs
This Elastic integration collects logs from Azure
Version | 1.19.3 (View all) |
Compatible Kibana version(s) | 8.13.0 or higher |
Supported Serverless project types | Security Observability |
Subscription level | Basic |
Level of support | Elastic |
The Azure Logs integration collects logs for specific Azure services like Microsoft Entra ID (Sign-in, Audit, Identity Protection, and Provisioning logs), Azure Spring Apps, Azure Firewall, Microsoft Graph Activity, and several others using the Activity and Platform logs.
You can then visualize that data in Kibana, create alerts if something goes wrong, and reference data when troubleshooting an issue.
For example, to detect possible brute force sign-in attacks, you can install the Azure Logs integration to send Azure sign-in logs to Elastic. Then, by setting up a new rule in the Elastic Observability Logs app, you can be alerted when the number of failed sign-in attempts exceeds a certain threshold. Or, perhaps you want to better plan your Azure capacity. Send Azure Activity logs to Elastic to track and visualize when your virtual machines fail to start due to an exceed quota limit.
Data streams
The Azure Logs integration collects logs.
Logs help you keep a record of events that happen on your Azure account. Log data streams collected by the Azure Logs integration include Activity, Platform, Microsoft Entra ID (Sign-in, Audit, Identity Protection, Provisioning), Microsoft Graph Activity, and Spring Apps logs.
Requirements
You need Elasticsearch for storing and searching your data and Kibana for visualizing and managing it. You can use our hosted Elasticsearch Service on Elastic Cloud, which is recommended, or self-manage the Elastic Stack on your own hardware.
Before using the Azure integration you will need:
- One or more diagnostic setting to export logs from Azure services to Event Hubs.
- One or more event hub to store in-flight logs exported by Azure services and make them available to Elastic Agent.
- One Storage Account Container to store information about logs consumed by the Elastic Agent.
Diagnostic Settings
Azure diagnostic settings allow you to export metrics and logs from a source service, or resource, to one destination for analysis and long-term storage.
┌──────────────────┐ ┌──────────────┐ ┌─────────────────┐
│Microsoft Entra ID│ │ Diagnostic │ │ Event Hub │
│ <<source>> │─────▶│ settings │────▶│ <<destination>> │
└──────────────────┘ └──────────────┘ └─────────────────┘
Examples of source services:
- Azure Monitor
- Microsoft Entra ID
- Spring Apps
The diagnostic settings support several destination types. The Elastic Agent requires a diagnostic settings configured with an event hub as the destination.
Event Hub
Azure Event Hubs is a data streaming platform and event ingestion service. It can receive and temporary store millions of events.
Elastic Agent with the Azure Logs integration will consume logs from the Event Hubs service.
┌────────────────┐ ┌────────────┐
│ adlogs │ │ Elastic │
│ <<Event Hub>> │─────▶│ Agent │
└────────────────┘ └────────────┘
To learn more about Event Hubs, refer to Features and terminology in Azure Event Hubs.
Storage account container
The Storage account is a versatile Azure service that allows you to store data in various storage types, including blobs, file shares, queues, tables, and disks.
The Azure Logs integration requires a Storage account container to work. The integration uses the Storage account container for checkpointing; it stores data about the Consumer Group (state, position, or offset) and shares it among the Elastic Agents. Sharing such information allows multiple Elastic Agents assigned to the same agent policy to work together; this enables horizontal scaling of the logs processing when required.
┌────────────────┐ ┌────────────┐
│ adlogs │ logs │ Elastic │
│ <<Event Hub>> │────────────────────▶│ Agent │
└────────────────┘ └────────────┘
│
consumer group info │
┌────────────────┐ (state, position, or │
│ azurelogs │ offset) │
│ <<container>> │◀───────────────────────────┘
└────────────────┘
The Elastic Agent automatically creates one container for each enabled integration. In the container, the Agent will create one blob for each existing partition on the event hub.
For example, if you enable one integration to fetch data from an event hub with four partitions, the Agent will create the following:
- One storage account container.
- Four blobs in that container.
The information stored in the blobs is small (usually < 500 bytes per blob) and accessed relatively frequently. Elastic recommends using the Hot storage tier.
You need to keep the storage account container as long as you need to run the integration with the Elastic Agent. If you delete a storage account container, the Elastic Agent will stop working and create a new one the next time it starts. By deleting a storage account container, the Elastic Agent will lose track of the last message processed and start processing messages from the beginning of the event hub retention period.
Setup
Elastic strongly recommends installing the individual integrations ("Microsoft Entra ID" logs or "Azure Activity logs") instead of the collective ones ("Azure Logs"). This allows you to have a dedicated event hub for each Azure service or log group, the recommended approach for optimal performance.
Before adding the integration, you must complete the following tasks.
Create an Event Hub
The event hub receives the logs exported from the Azure service and makes them available to the Elastic Agent to pick up.
Here's the high-level overview of the required steps:
- Create a resource group, or select an existing one.
- Create an Event Hubs namespace.
- Create an event hub.
For a detailed step-by-step guide, check the quickstart Create an event hub using Azure portal.
Take note of the event hub Name, which you will use later when specifying an eventhub in the integration settings.
Event Hubs Namespace vs Event Hub
You should use the event hub name (not the Event Hubs namespace name) as a value for the eventhub option in the integration settings.
If you are new to Event Hubs, think of the Event Hubs namespace as the cluster and the event hub as the topic. You will typically have one cluster and multiple topics.
If you are familiar with Kafka, here's a conceptual mapping between the two:
Kafka Concept | Event Hub Concept |
---|---|
Cluster | Namespace |
Topic | An event hub |
Partition | Partition |
Consumer Group | Consumer Group |
Offset | Offset |
How many partitions?
The number of partitions is essential to balance the event hub cost and performance.
Here are a few examples with one or multiple agents, with recommendations on picking the correct number of partitions for your use case.
Single Agent
With a single Agent deployment, increasing the number of partitions on the event hub is the primary driver in scale-up performances. The Agent creates one worker for each partition.
┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐
│ │ │ │
│ ┌─────────────────┐ │ │ ┌─────────────────┐ │
│ partition 0 │◀───────────│ worker │
│ └─────────────────┘ │ │ └─────────────────┘ │
┌─────────────────┐ ┌─────────────────┐
│ │ partition 1 │◀──┼────┼───│ worker │ │
└─────────────────┘ └─────────────────┘
│ ┌─────────────────┐ │ │ ┌─────────────────┐ │
│ partition 2 │◀────────── │ worker │
│ └─────────────────┘ │ │ └─────────────────┘ │
┌─────────────────┐ ┌─────────────────┐
│ │ partition 3 │◀──┼────┼───│ worker │ │
└─────────────────┘ └─────────────────┘
│ │ │ │
│ │ │ │
└ Event Hub ─ ─ ─ ─ ─ ─ ─ ┘ └ Agent ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘
Two or more Agents
With more than one Agent, setting the number of partitions is crucial. The agents share the existing partitions to scale out performance and improve availability.
The number of partitions must be at least the number of agents.
┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐
│ │ │ ┌─────────────────┐ │
┌──────│ worker │
│ ┌─────────────────┐ │ │ │ └─────────────────┘ │
│ partition 0 │◀────┘ ┌─────────────────┐
│ └─────────────────┘ │ ┌──┼───│ worker │ │
┌─────────────────┐ │ └─────────────────┘
│ │ partition 1 │◀──┼─┘ │ │
└─────────────────┘ ─Agent─ ─ ─ ─ ─ ─ ─ ─ ─ ─
│ ┌─────────────────┐ │ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐
│ partition 2 │◀────┐
│ └─────────────────┘ │ │ │ ┌─────────────────┐ │
┌─────────────────┐ └─────│ worker │
│ │ partition 3 │◀──┼─┐ │ └─────────────────┘ │
└─────────────────┘ │ ┌─────────────────┐
│ │ └──┼──│ worker │ │
└─────────────────┘
│ │ │ │
└ Event Hub ─ ─ ─ ─ ─ ─ ─ ┘ └ Agent ─ ─ ─ ─ ─ ─ ─ ─ ─ ┘
Recommendations
Create an event hub with at least two partitions. Two partitions allow low-volume deployment to support high availability with two agents. Consider creating four partitions or more to handle medium-volume deployments with availability.
To learn more about event hub partitions, read an in-depth guide from Microsoft at https://learn.microsoft.com/en-us/azure/event-hubs/event-hubs-create.
To learn more about event hub partition from the performance perspective, check the scalability-focused document at https://learn.microsoft.com/en-us/azure/event-hubs/event-hubs-scalability#partitions.
How many Event Hubs?
Elastic strongly recommends creating one event hub for each Azure service you collect data from.
For example, if you plan to collect Microsoft Entra ID logs and Activity logs, create two event hubs: one for Microsoft Entra ID and one for Activity logs.
Here's an high-level diagram of the solution:
┌───────────────┐ ┌──────────────┐ ┌───────────────┐
│ MS Entra ID │ │ Diagnostic │ │ adlogs │
│ <<service>> │──▶│ Settings │──▶│ <<Event Hub>> │──┐
└───────────────┘ └──────────────┘ └───────────────┘ │ ┌───────────┐
│ │ Elastic │
├──▶│ Agent │
┌───────────────┐ ┌──────────────┐ ┌───────────────┐ │ └───────────┘
│ Azure Monitor │ │ Diagnostic │ │ activitylogs │ │
│ <<service>> ├──▶│ Settings │──▶│ <<Event Hub>> │──┘
└───────────────┘ └──────────────┘ └───────────────┘
Having one event hub for each Azure service is beneficial in terms of performance and easy of troubleshooting.
For high-volume deployments, we recommend one event hub for each data stream:
┌──────────────┐ ┌─────────────────────┐
│ Diagnostic │ │ signin (adlogs) │
┌─▶│ Settings │──▶│ <<Event Hub>> │──┐
│ └──────────────┘ └─────────────────────┘ │
│ │
┌─────────────┐ │ ┌──────────────┐ ┌─────────────────────┐ │ ┌───────────┐
│ MS Entra ID │ │ │ Diagnostic │ │ audit (adlogs) │ │ │ Elastic │
│ <<service>> │─┼─▶│ Settings │──▶│ <<Event Hub>> │──┼─▶│ Agent │
└─────────────┘ │ └──────────────┘ └─────────────────────┘ │ └───────────┘
│ │
│ ┌──────────────┐ ┌─────────────────────┐ │
│ │ Diagnostic │ │provisioning (adlogs)│ │
└─▶│ Settings │──▶│ <<Event Hub>> │──┘
└──────────────┘ └─────────────────────┘
Consumer Group
Like all other event hub clients, Elastic Agent needs a consumer group name to access the event hub.
A Consumer Group is a view (state, position, or offset) of an entire event hub. Consumer groups enable multiple agents to each have a separate view of the event stream, and to read the logs independently at their own pace and with their own offsets.
Consumer groups allow multiple Elastic Agents assigned to the same agent policy to work together; this enables horizontal scaling of the logs processing when required.
In most cases, you can use the default consumer group named $Default
. If $Default
is already used by other applications, you can create a consumer group dedicated to the Azure Logs integration.
Connection string
The Elastic Agent requries a connection string to access the event hub and fetch the exported logs. The connection string contains details about the event hub used and the credentials required to access it.
To get the connection string for your Event Hubs namespace:
- Visit the Event Hubs namespace you created in a previous step.
- Select Settings > Shared access policies.
Create a new Shared Access Policy (SAS):
- Select Add to open the creation panel.
- Add a Policy name (for example, "ElasticAgent").
- Select the Listen claim.
- Select Create.
When the SAS Policy is ready, select it to display the information panel.
Take note of the Connection string–primary key, which you will use later when specifying a connection_string in the integration settings.
Create a Diagnostic Settings
The diagnostic settings export the logs from Azure services to a destination and in order to use Azure Logs integration, it must be an event hubb.
To create a diagnostic settings to export logs:
- Locate the diagnostic settings for the service (for example, Microsoft Entra ID).
- Select diagnostic settings in the Monitoring section of the service. Note that different services may place the diagnostic settings in different positions.
- Select Add diagnostic settings.
In the diagnostic settings page you have to select the source log categories you want to export and then select their destination.
Select log categories
Each Azure services exports a well-defined list of log categories. Check the individual integration doc to learn which log categories are supported by the integration.
Select the destination
Select the subscription and the Event Hubs namespace you previously created. Select the event hub dedicated to this integration.
┌───────────────┐ ┌──────────────┐ ┌───────────────┐ ┌───────────┐
│ MS Entra ID │ │ Diagnostic │ │ adlogs │ │ Elastic │
│ <<service>> ├──▶│ Settings │──▶│ <<Event Hub>> │─────▶│ Agent │
└───────────────┘ └──────────────┘ └───────────────┘ └───────────┘
Create a Storage account container
The Elastic Agent stores the event hub checkpoint information in a storage account container. Storing checkpoint information in a container allows agents to share message processing and resume from the last processed message after a restart.
NOTE: Use the storage account as a checkpoint store only.
To create the storage account:
-
Sign in to the Azure Portal and create your storage account.
-
While configuring your project details, make sure you select the following recommended default settings:
- Hierarchical namespace: disabled
- Minimum TLS version: Version 1.2
- Access tier: Hot
- Enable soft delete for blobs: disabled
- Enable soft delete for containers: disabled
-
When the new storage account is ready, you need to take note of the storage account name and the storage account access keys, as you will use them later to authenticate your Elastic application’s requests to this storage account.
This is the final diagram of the a setup for collecting Activity logs from the Azure Monitor service.
┌───────────────┐ ┌──────────────┐ ┌────────────────┐ ┌───────────┐
│ MS Entra ID │ │ Diagnostic │ │ adlogs │ logs │ Elastic │
│ <<service>> ├──▶│ Settings │──▶│ <<Event Hub>> │────────▶│ Agent │
└───────────────┘ └──────────────┘ └────────────────┘ └───────────┘
│
┌──────────────┐ consumer group info │
│ azurelogs │ (state, position, or │
│<<container>> │◀───────────────offset)──────────────┘
└──────────────┘
How many Storage Accounts?
The Elastic Agent can create containers for all integrations on a single Storage Account.
The Agent uses the integration name and the event hub name to uniquely identify the container that holds the blobs with the checkpoint information.
┌─────────────────────────────────┐ ┌──────────────────────────────────────────┐
│ │ │ │
│ ┌─────────────────────┐ │ │ ┌───────────────────────────────────┐ │
│ │ azure-eventhub │ │ │ │ filebeat-activitylogs-evehub1 │ │
│ │ <<input>> │──────┼──────┼─▶│ <<container>> │ │
│ └─────────────────────┘ │ │ └───────────────────────────────────┘ │
│ ┌─────────────────────┐ │ │ ┌───────────────────────────────────┐ │
│ │ azure-eventhub │ │ │ │ filebeat-signinlogs-evehub1 │ │
│ │ <<input>> │──────┼──────┼─▶│ <<container>> │ │
│ └─────────────────────┘ │ │ └───────────────────────────────────┘ │
│ ┌─────────────────────┐ │ │ ┌───────────────────────────────────┐ │
│ │ azure-eventhub │ │ │ │ filebeat-auditlogs-evehub1 │ │
│ │ <<input>> │──────┼──────┼─▶│ <<container>> │ │
│ └─────────────────────┘ │ │ └───────────────────────────────────┘ │
│ │ │ │
└─Elastic Agent───────────────────┘ └─Storage Account──────────────────────────┘
Running the integration behind a firewall
When you run the Elastic Agent behind a firewall, to ensure proper communication with the necessary components, you need to allow traffic on port 5671
and 5672
for the event hub, and port 443
for the Storage Account container.
┌────────────────────────────────┐ ┌───────────────────┐ ┌───────────────────┐
│ │ │ │ │ │
│ ┌────────────┐ ┌───────────┐ │ │ ┌──────────────┐ │ │ ┌───────────────┐ │
│ │ diagnostic │ │ event hub │ │ │ │azure-eventhub│ │ │ │ activity logs │ │
│ │ setting │──▶│ │◀┼AMQP─│ <<input>> │─┼──┼▶│<<data stream>>│ │
│ └────────────┘ └───────────┘ │ │ └──────────────┘ │ │ └───────────────┘ │
│ │ │ │ │ │ │
│ │ │ │ │ │ │
│ │ │ │ │ │ │
│ ┌─────────────┬─────HTTPS─┼──────────┘ │ │ │
│ ┌───────┼─────────────┼──────┐ │ │ │ │ │
│ │ │ │ │ │ │ │ │ │
│ │ ▼ ▼ │ │ └─Agent─────────────┘ └─Elastic Cloud─────┘
│ │ ┌──────────┐ ┌──────────┐ │ │
│ │ │ 0 │ │ 1 │ │ │
│ │ │ <<blob>> │ │ <<blob>> │ │ │
│ │ └──────────┘ └──────────┘ │ │
│ │ │ │
│ │ │ │
│ └─Storage Account Container──┘ │
│ │
│ │
└─Azure──────────────────────────┘
Event Hub
Port 5671
and 5672
are commonly used for secure communication with the event hub. These ports are used to receive events. By allowing traffic on these ports, the Elastic Agent can establish a secure connection with the event hub.
For more information, check the following documents:
- What ports do I need to open on the firewall? from the Event Hubs frequently asked questions.
- AMQP outbound port requirements
Storage Account Container
Port 443
is used for secure communication with the Storage Account container. This port is commonly used for HTTPS traffic. By allowing traffic on port 443, the Elastic Agent can securely access and interact with the Storage Account container, which is essential for storing and retrieving checkpoint data for each event hub partition.
DNS
Optionally, you can restrict the traffic to the following domain names:
*.servicebus.windows.net
*.blob.core.windows.net
*.cloudapp.net
Settings
Use the following settings to configure the Azure Logs integration when you add it to Fleet.
eventhub
:
string
A fully managed, real-time data ingestion service. Elastic recommends using only letters, numbers, and the hyphen (-) character for event hub names to maximize compatibility. You can use existing event hubs having underscores (_) in the event hub name; in this case, the integration will replace underscores with hyphens (-) when it uses the event hub name to create dependent Azure resources behind the scenes (e.g., the storage account container to store event hub consumer offsets). Elastic also recommends using a separate event hub for each log type as the field mappings of each log type differ.
Default value insights-operational-logs
.
consumer_group
:
string
Enable the publish/subscribe mechanism of Event Hubs with consumer groups. A consumer group is a view (state, position, or offset) of an entire event hub. Consumer groups enable multiple consuming applications to each have a separate view of the event stream, and to read the stream independently at their own pace and with their own offsets.
Default value: $Default
connection_string
:
string
The connection string required to communicate with Event Hubs. See Get an Event Hubs connection string for more information.
A Blob Storage account is required to store/retrieve/update the offset or state of the event hub messages. This allows the integration to start back up at the spot that it stopped processing messages.
storage_account
:
string
The name of the storage account that the state/offsets will be stored and updated.
storage_account_key
:
string
The storage account key. Used to authorize access to data in your storage account.
storage_account_container
:
string
The storage account container where the integration stores the checkpoint data for the consumer group. It is an advanced option to use with extreme care. You MUST use a dedicated storage account container for each Azure log type (activity, sign-in, audit logs, and others). DO NOT REUSE the same container name for more than one Azure log type. See Container Names for details on naming rules from Microsoft. The integration generates a default container name if not specified.
resource_manager_endpoint
:
string
Optional. By default, the integration uses the Azure public environment. To override this and use a different Azure environment, users can provide a specific resource manager endpoint
Examples:
- Azure ChinaCloud:
https://management.chinacloudapi.cn/
- Azure GermanCloud:
https://management.microsoftazure.de/
- Azure PublicCloud:
https://management.azure.com/
- Azure USGovernmentCloud:
https://management.usgovcloudapi.net/
This setting can also be used to define your own endpoints, like for hybrid cloud models.
Handling Malformed JSON in Azure Logs
Azure services have been observed to send malformed JSON documents occasionally. These logs can disrupt the expected JSON formatting and lead to parsing issues during processing.
To address this issue, the advanced settings section of each data stream offers two sanitization options:
- Sanitizes New Lines: removes new lines in logs.
- Sanitizes Single Quotes: replaces single quotes with double quotes in logs, excluding single quotes occurring within double quotes.
Malformed logs can be indentified by:
- Presence of a records array in the message field, indicating a failure to unmarshal the byte slice.
- Existence of an error.message field containing the text "Received invalid JSON from the Azure Cloud platform. Unable to parse the source log message."
Known data streams that might produce malformed logs:
- Platform Logs
- Spring Apps Logs
Reference
Visit the page for each individual Azure Logs integration to see details about exported fields and sample events.
Changelog
Version | Details | Kibana version(s) |
---|---|---|
1.19.3 | Bug fix View pull request | 8.13.0 or higher |
1.19.2 | Bug fix View pull request | 8.13.0 or higher |
1.19.1 | Bug fix View pull request | 8.13.0 or higher |
1.18.0 | Enhancement View pull request | 8.13.0 or higher |
1.17.0 | Enhancement View pull request | 8.13.0 or higher |
1.16.0 | Enhancement View pull request | 8.13.0 or higher |
1.15.1 | Bug fix View pull request | 8.13.0 or higher |
1.15.0 | Enhancement View pull request | 8.13.0 or higher |
1.14.0 | Enhancement View pull request | 8.13.0 or higher |
1.13.1 | Enhancement View pull request | 8.13.0 or higher |
1.13.0 | Enhancement View pull request | 8.13.0 or higher |
1.12.0 | Enhancement View pull request | 8.13.0 or higher |
1.11.4 | Bug fix View pull request | 8.12.0 or higher |
1.11.3 | Bug fix View pull request | 8.12.0 or higher |
1.11.2 | Bug fix View pull request | 8.12.0 or higher |
1.11.1 | Enhancement View pull request | 8.12.0 or higher |
1.11.0 | Enhancement View pull request | 8.12.0 or higher |
1.10.0 | Enhancement View pull request | 8.12.0 or higher |
1.9.2 | Enhancement View pull request | 8.12.0 or higher |
1.9.1 | Bug fix View pull request | 8.12.0 or higher |
1.9.0 | Enhancement View pull request | 8.12.0 or higher |
1.8.3 | Enhancement View pull request | 8.8.0 or higher |
1.8.2 | Enhancement View pull request | 8.8.0 or higher |
1.8.1 | Enhancement View pull request | 8.8.0 or higher |
1.8.0 | Enhancement View pull request | 8.8.0 or higher |
1.7.0 | Enhancement View pull request | 8.6.0 or higher |
1.6.0 | Enhancement View pull request | 8.6.0 or higher |
1.5.33 | Bug fix View pull request | 8.6.0 or higher |
1.5.32 | Bug fix View pull request | 8.6.0 or higher |
1.5.31 | Enhancement View pull request | 8.6.0 or higher |
1.5.30 | Enhancement View pull request | 8.6.0 or higher |
1.5.29 | Enhancement View pull request | 8.6.0 or higher |
1.5.28 | Enhancement View pull request | 8.6.0 or higher |
1.5.27 | Bug fix View pull request | 8.6.0 or higher |
1.5.26 | Bug fix View pull request | 8.6.0 or higher |
1.5.25 | Bug fix View pull request | 8.6.0 or higher |
1.5.24 | Bug fix View pull request | 8.6.0 or higher |
1.5.23 | Enhancement View pull request | 8.6.0 or higher |
1.5.22 | Enhancement View pull request | 8.6.0 or higher |
1.5.21 | Enhancement View pull request | 8.6.0 or higher |
1.5.20 | Enhancement View pull request | 8.6.0 or higher |
1.5.17 | Enhancement View pull request | 8.6.0 or higher |
1.5.16 | Enhancement View pull request | 8.6.0 or higher |
1.5.15 | Enhancement View pull request | 8.6.0 or higher |
1.5.14 | Enhancement View pull request | 8.6.0 or higher |
1.5.13 | Enhancement View pull request | 7.16.0 or higher |
1.5.12 | Enhancement View pull request | 7.16.0 or higher |
1.5.11 | Enhancement View pull request | 7.16.0 or higher |
1.5.10 | Bug fix View pull request | 7.16.0 or higher |
1.5.9 | Bug fix View pull request | 7.16.0 or higher |
1.5.8 | Bug fix View pull request | 7.16.0 or higher |
1.5.7 | Bug fix View pull request | 7.16.0 or higher |
1.5.6 | Bug fix View pull request | 7.16.0 or higher |
1.5.5 | Bug fix View pull request | 7.16.0 or higher |
1.5.4 | Enhancement View pull request | 7.16.0 or higher |
1.5.3 | Enhancement View pull request | 7.16.0 or higher |
1.5.2 | Bug fix View pull request | 7.16.0 or higher |
1.5.1 | Bug fix View pull request | 7.16.0 or higher |
1.5.0 | Enhancement View pull request | 7.16.0 or higher |
1.4.1 | Enhancement View pull request | 7.16.0 or higher |
1.4.0 | Enhancement View pull request | 7.16.0 or higher |
1.3.0 | Enhancement View pull request | 7.16.0 or higher |
1.2.3 | Enhancement View pull request | 7.16.0 or higher |
1.2.2 | Enhancement View pull request | 7.16.0 or higher |
1.2.1 | Bug fix View pull request | 7.16.0 or higher |
1.2.0 | Enhancement View pull request | — |
1.1.11 | Bug fix View pull request | — |
1.1.10 | Enhancement View pull request | 7.16.0 or higher |
1.1.9 | Bug fix View pull request | — |
1.1.8 | Enhancement View pull request | 7.16.0 or higher |
1.1.7 | Bug fix View pull request | 7.16.0 or higher |
1.1.6 | Bug fix View pull request | 7.16.0 or higher |
1.1.5 | Enhancement View pull request | — |
1.1.4 | Bug fix View pull request | — |
1.1.3 | Enhancement View pull request | — |
1.1.2 | Bug fix View pull request | 7.16.0 or higher |
1.1.1 | Bug fix View pull request | — |
1.1.0 | Enhancement View pull request | — |
1.0.1 | Enhancement View pull request | 7.16.0 or higher |
1.0.0 | Enhancement View pull request | 7.16.0 or higher |
0.12.3 | Enhancement View pull request | — |
0.12.2 | Bug fix View pull request | — |
0.12.1 | Bug fix View pull request | — |
0.12.0 | Enhancement View pull request | — |
0.11.0 | Enhancement View pull request | — |
0.10.1 | Enhancement View pull request | — |
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