ANOW! Automate provides deep, native integration with Microsoft Azure, offering a single, governed control plane that orchestrates mission-critical workloads across Azure services and the broader enterprise IT estate, ensuring unified monitoring and control with event-driven precision.
The ANOW! Automate integration with Microsoft Azure establishes a unified control plane for orchestrating workloads across Azure's extensive services and hybrid IT environments. It supports native integration with Azure DevOps, Data Factory, Databricks, Blob Storage, and DataLake Jobs, enabling comprehensive management and coordination of data pipelines, AI/ML workflows, and operational tasks. The integration supports both event-driven and scheduled triggers, enabling dynamic, responsive automation across the Azure ecosystem.
ANOW! Automate operates as a SaaS offering on Azure, leveraging Microsoft Entra ID for SAML 2.0 single sign-on and OAuth 2.0 token-based access, and Azure Key Vault for secure secret management. This ensures alignment with corporate identity governance and strengthens the security posture by reducing reliance on static credentials. The platform's architecture makes it easy to deploy and run in Azure, and it also extends its orchestration to on-premise, mainframe, and other cloud platforms.
This integration is designed for senior IT executives, IT operations managers, and data platform architects in large enterprises managing complex, hybrid IT landscapes. It helps you optimize operational efficiency, ensure compliance, and future-proof your IT infrastructure by giving you unified control over critical Azure and non-Azure workloads. It addresses the challenges of fragmented tools and ensures consistent monitoring, cost governance, and security across the entire IT estate.
Consolidate Azure activities—Data Factory pipelines, Databricks jobs, Synapse activities—into a single operational dashboard. This provides native access to logs and run statuses, leading to faster incident detection and consistent stakeholder reporting across your hybrid IT landscape.
Replace fixed schedules with event-driven triggers for Azure data pipelines, based on Blob arrivals, upstream task completions, or business system events. This ensures Azure workloads operate on the most current and validated data, delivering timely outputs and enhancing data freshness.
Right-size Azure workloads, enforce approval gates, and integrate with cost-monitoring platforms to detect anomalies like DBU peaks. This dynamic SLA and cost model prevents unnecessary spend, ensuring predictable and well-governed Azure consumption while protecting critical service levels.
Integrate with Microsoft Entra ID for SAML 2.0 single sign-on and OAuth 2.0, and use Azure Key Vault for secure secret management. This aligns with corporate identity governance, reduces reliance on static credentials, and provides full traceability of Azure actions, enhancing security and compliance.
Use Cases
DATA ENGINEERING
Automate Azure Data Factory, Databricks, and Synapse pipelines based on data arrival or upstream task completion.
IT OPERATIONS
Automatically provision and decommission Azure VMs and Databricks clusters based on workload demand.
MLOPS
Orchestrate the full MLOps lifecycle within Azure Databricks.
HYBRID IT
Coordinate SAP data extraction with Azure Data Factory and Synapse for analytical processing.
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ANOW! Automate's architecture ensures that data processing and storage comply strictly with EU regulations, such as GDPR. As a European software provider, Beta Systems offers local support and implementation partners, giving you complete data sovereignty and compliance peace of mind for your critical Azure infrastructure.
Yes, ANOW! Automate is designed for seamless, no-rip-and-replace integration. It enhances your current Azure investments by providing a unified control plane across Azure services such as Data Factory, Databricks, and Synapse, as well as your broader IT estate, eliminating fragmentation and improving operational visibility.
ANOW! integrates with Microsoft Entra ID for SAML 2.0 and OAuth 2.0 for robust identity management, and uses Azure Key Vault for secure secret management. This aligns with corporate security policies, supports multi-factor and conditional access, and provides full traceability of actions.
We show you a clear path to measurable ROI within 12 months. This includes quantifiable metrics such as reducing manual tasks by 40-60%, optimizing Azure resource utilization through on-demand provisioning, and drastically shortening audit preparation times, resulting in significant cost savings and reduced risk.
Yes, ANOW! Automate excels at cross-cloud pipeline orchestration. It manages end-to-end business processes spanning multiple hyperscalers (e.g., AWS, Azure, Google Cloud) as a single governed pipeline, ensuring consistent monitoring, dependency enforcement, and lineage across providers.
ANOW! Automate orchestrates critical workloads across Google Cloud services like Compute Engine and BigQuery, unifying operations with your hybrid IT landscape. We enable granular control over VM lifecycles and data pipelines, ensuring cost discipline and auditable compliance across your Google Cloud estate without custom scripting.
ANOW! Automate on Amazon Web Services (AWS) provides enterprise-grade workload automation and orchestration, consolidating diverse AWS jobs, container services, and data pipelines into a single operational dashboard. This gives you unified visibility and control across hybrid and multi-cloud environments, helping you meet up to 99.95% SLA for critical business processes.
ANOW! Automate extends Kubernetes' native scheduling, providing an essential orchestration and control plane that transcends cluster boundaries. It enables event-driven responses, creates and manages containers on demand, and executes critical business applications within pods, optimizing resource utilization across hybrid environments.
ANOW! Automate integrates natively with Microsoft Teams, establishing bidirectional communication between orchestrated workflows and the collaboration platform. This allows real-time notifications, approvals, and operational commands to flow directly within Teams, significantly reducing mean time to detection and improving collaborative response without switching tools.
ANOW! Automate integrates with Amazon EMR to orchestrate big data processing workloads, automatically provisioning and scaling clusters for data pipelines. This integration ensures that complex data transformations execute efficiently, optimizing resource utilization and accelerating time-to-insight for data-driven enterprises.
ANOW! Automate orchestrates Azure Databricks workloads, enabling unified monitoring, event-driven job execution, and cost governance across hybrid cloud environments. We provide tasks for managing clusters, running jobs, and monitoring activity, ensuring predictable Azure spend and enterprise-grade SLA protection for critical data pipelines.
ANOW! Automate integrates with dbt (Data Build Tool) to orchestrate and monitor data transformation workflows, supporting both dbt Core and dbt Cloud instances. This enables unified control over dbt runs, models, and tests, providing native access to run status and execution logs, ensuring data freshness and audit readiness.
ANOW! Automate integrates with Azure Data Factory (ADF) to provide unified orchestration and control over your data pipelines within hybrid environments. This integration allows ANOW! Automate to trigger and execute both Azure Data Factory Triggers and Pipelines, consolidating fragmented data operations into a single operational dashboard for faster incident detection and consistent status views.
