Digital.ai now integrates with Apache Airflow, allowing users to manage workflows directly within the platform for improved control and visibility.
Key Features:
-
DAG Management: Create, trigger, list, and delete DAG runs; retrieve detailed execution data
-
Task Instance Management: Access individual task instance details for precise monitoring and debugging
This integration simplifies orchestration and enhances end-to-end workflow management.
Digital.ai now integrates with Confluence, enabling teams to manage and collaborate on documentation directly within the platform—no context switching required.
Key Features:
-
Create, update, and delete Confluence pages
-
Add labels, comments, and page restrictions for better organization and security
-
Assign content watchers to keep stakeholders informed
This integration enhances documentation workflows and supports efficient, secure collaboration.
Digital.ai introduces seamless new integrations with Microsoft Teams and Slack to enhance team collaboration and streamline communication workflows directly within the Digital.ai platform.
Key Features:
-
Microsoft Teams: Send messages to users, groups, or channels with Message ID tracking.
-
Slack: Message users or channels, create and archive channels (with Channel IDs), and manage channel members.
Digital.ai introduces two new GitHub Actions to enhance integration between GitHub repositories and their platform:
GitHub Actions Release
This action enables the creation and initiation of a new release directly from your GitHub repository into Digital.ai Release. By automating the release management process, it ensures a seamless and efficient workflow.
GitHub Actions Deploy
Designed to streamline deployment processes, this action automates the creation, publishing, and deployment of packages from your GitHub repository to Digital.ai Deploy. It supports generating new DAR packages from specified manifest files, uploading them to Digital.ai Deploy, and deploying them to designated environments.
Digital.ai Release ArgoCD integration introduces the following new features:
Added Create Application Task with upsert and validate options, along with Helm Support, enabling seamless deployment of Helm charts within ArgoCD. Additionally, Helm Parameters now include lookup capabilities for chart, version, and revisions, streamlining Helm-based deployments.
Wait for Status Task
Now includes configurable retry counts and wait intervals for better control over deployment workflows.
Kustomize Support
Provides native support for Kustomize-based deployments.
Digital.ai Deploy introduces the following updates and fixes across multiple deployment plugins.
WebLogic
Added the capability to specify SSL parameters for WLST commands, improving secure communication.
Azure
Enhanced support for WebApps for Containers, improved request validation using Java Truststore, and introduced API management service integration.
Helm
Improved error messages for deployment failures and introduced OrderedConfigurationFiles, ensuring Helm values are applied in sequence. Fixed issues with deployments not working with Kubernetes Dashboard.
Digital.ai Deploy introduces the following new features:
Azure ContainerApp and WebApp
Create ContainerApps and Static Webapps in Azure. Deploy Code packages to specific deployment slots in WebApp and FunctionApps.
Azure Bicep Enhancement
Deploy Bicep Templates as bundled zip files scoped against Subscriptions and ResourceGroups.
Docker
Includes the ability to add Docker volume specifications into DockerServiceSpec. This streamlines volume management for Docker-based deployments.
Terraform
Supports specifying Init Parameters and Secret Init parameters within Terraform modules. These changes are applied in a cascading manner during Terraform Destroy operations.
Helm
It is now possible to impose stitch validations on Helm charts. Additionally, the plugin makes it possible to install Helm charts with automatically generated namespaces, which makes namespace management easier during Helm deployments.
Helm
Helm container plugin allows you to simplify the deployment and management of applications on Kubernetes clusters.
Conjur
A new Secret Management Container plugin for seamless integration with CyberArk Conjur. This plugin empowers users to efficiently read secrets from the Conjur Server.
Azure CLI
New Azure Container integration enhances interaction with Azure services using CLI.
Digital.ai Release offers a pair of cloud-native Secret Management plugins, one dedicated to seamless integration with Azure KeyVault and the other with AWS Secrets Manager. These they help in retrieving secrets from AWS SecretsManager and Azure Keyvaults for use in tasks and orchestrations.
Digital.ai Deploy offers a pair of cloud-native Secret Management plugins, one dedicated to seamless integration with Azure KeyVault and the other with AWS Secrets Manager. These plugins empower users to efficiently replace dictionary variable values and enhance variable lookup functionality.
This Integration serves as a vital link connecting Digital.ai Release, a robust release orchestration solution, with the Ansible Automation Controller, also known as Ansible Tower. It empowers users to seamlessly integrate Ansible Automation Controller tasks and playbooks directly into their release pipelines, enabling the streamlined coordination of infrastructure provisioning, configuration management, and application deployments.
Digital.ai Release (OPA based Integration) with Digital.ai Application Security product helps protect mobile apps from threats with the proper security measures and validate it before it is too late during with release automation process.
Digital.ai Release integration with GitHub Actions has been enhanced with the addition of two new tasks to Github "Trigger Workflow Run" and "Enable/Disable Workflow". With these new features, users can automate GitHub Action workflows as part of their Release templates, streamlining and simplifying the release process
The xlr-bamboo-integration for Digital.ai Release allows integration with Atlassian Bamboo for continuous integration and deployment, enabling automated builds and releases together in a single workflow.
Created a new integration for JFrog which has triggers to listen on a "Published Artifact" or a "Published Image" and start a Release workflow. This can be used to achieve continuous deployment by automation of publishing artifacts and images as part of Release templates.
Our comprehensive Container Orchestration Integrations enable organizations to automate and manage containerized application tasks.
The latest updates include enhancements to the Deploy Podman integration, which allows you to deploy Podman images to create containers. Additionally, you can connect networks and volumes to these containers using the podman integration and auto-discovery of master and namespace in the Kubernetes plugin for both Deploy and Release. also enhanced ArgoRollouts Integration, which provides advanced deployment capabilities such as blue-green, canary, and progressive delivery features to Kubernetes.
Extend our products with an array of ready to use integrations with leading Cloud Platforms.
Latest updates include enhancements to K8s on Cloud platforms integrations like Token based Authentication for Google Cloud Kubernetes, and authorization of k8s cluster on AWS EKS and Azure AKS using service accounts.
Jira: Agility is a tool that helps teams set their strategy and link it to their planned work. Jira or other tracking tools that helps you track projects and get work done. They pair perfectly.
By integrating Agility and Jira or other tracking tools via Agility Connect, you can link your work to your strategic vision, share context with development teams, and track your progress via roadmaps and reports.
Azure (TFS): Integrating Azure DevOps with Agility tool in the value stream makes it easier for business and product development teams to coordinate with each other, accelerating delivery cycles and efficiently scaling agile practices. All strategic requirements from the Agility tool automatically synchronize to Azure DevOps and all the artifacts & work items associated with the strategic requirement synchronize back to the Agility tool.
ServiceNow: Teams waste tremendous amounts of time "swivel-chairing" between systems, trying to keep records up-to-date in two places and sending emails and chat messages to follow up on details and statuses. And since records in different tools are maintained manually, they're more prone to error.
But that can all be solved through integration, which is why connecting ServiceNow and the developers' Agile planning tools is by far the most popular integration use case Agility Connect sees.
