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 integrates natively with the Google Cloud portfolio, encompassing services such as Google Cloud Source Repositories, Google Cloud Storage Bucket, and Google BigQuery. Specifically, ANOW! Automate is engineered to natively orchestrate Google Cloud Composer, managing tasks such as file movement, VM lifecycle management, and downstream data workflows within a unified control plane. This removes the need for custom scripts, separate management consoles, and disconnected monitoring tools often encountered when integrating Google Cloud with on-premises systems and other hyperscalers.
The integration connects to Google Cloud Storage via its native Storage Bucket endpoint, offering authentication methods including Properties File (JSON service account key), Inline Properties, and Application Default. This exposes Google Cloud Storage (GCS) as a governed Managed File Transfer endpoint, enabling scheduled, audited, and self-service file exchanges. ANOW! Automate is cloud-agnostic, supporting major cloud providers, and offers dedicated SaaS tenants with customized geographic strategies for primary services and disaster recovery, aligning with specific geo-compliance requirements.
Crucially, ANOW! places these Google Cloud objects under a unified operational control plane alongside components from SAP, mainframe, Windows/Linux, Snowflake, dbt, Azure, and AWS. This consolidation ensures that dependencies, Service Level Agreements (SLAs), and audit records are centralized, eliminating the need for service-specific consoles. This integration helps enterprise IT decision-makers manage complex hybrid IT environments, optimize operational efficiency, ensure compliance, and mitigate risks across their Google Cloud investments.
Consolidate Google Cloud workloads into a single dashboard, providing native access to logs and run status. This improves incident detection and ensures consistent reporting across multi-cloud estates, replacing disparate tools.
Automate the lifecycle of Google Compute Engine VMs, provisioning resources only when required and decommissioning them post-execution. This directly reduces the expense of continuously running cloud instances.
Centrally manage and audit file transfers to and from Google Cloud Storage with encryption and full logging. This ensures reliable, validated inputs for Google Cloud workloads through a controlled, auditable process.
Orchestrate complex BigQuery loads, transformations, and scheduled queries within a governed flow. This sequence execution enforces approval gates for high-cost operations and integrates with cost monitoring.
Use Cases
CLOUDOPS
Orchestrate Google Compute Engine VM lifecycles for cost-effective, on-demand resource allocation.
DATA ENGINEERING
Automate BigQuery data loads and transformations with integrated cost control and governance.
HYBRID IT
Centralize secure, auditable file transfers between on-prem, other clouds, and Google Cloud Storage.
IT OPERATIONS
Gain a consolidated view of all Google Cloud tasks and workloads for improved incident response.
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If your organization runs hundreds of automated jobs across cloud, on-premises, and mainframe systems, you need more than a basic scheduler. You need an enterprise workflow automation platform that manages complex dependencies, enforces SLA compliance, and gives your operations team real-time visibility into every process. The tools in this list range from purpose-built workload automation platforms to ITSM-native engines and data pipeline orchestrators. Each is included for the unique value add each brings to the table.
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ANOW! Automate supports three robust authentication methods for Google Cloud: Properties File (using a JSON service account key), Inline Properties (where all service-account fields are entered directly in the GUI), and Application Default. These options ensure secure and flexible credential management.
Yes, ANOW! Automate natively manages Google Compute Engine VMs through dedicated Start, Stop, and Remove tasks. This allows VMs to be provisioned only when required by a workload and subsequently shut down or decommissioned within the same orchestrated workflow, optimizing resource usage.
ANOW! Automate centralizes dependencies, Service Level Agreements (SLAs), and audit records for Google Cloud objects within a unified control plane. This ensures tamper-proof logging and real-time reporting, simplifying audit preparation and demonstrating adherence to regulatory requirements like GDPR and DORA.
ANOW! orchestrates BigQuery loads, transformations, and scheduled queries within a governed flow. It enforces approval gates for high-cost operations and integrates with cost-monitoring tools, transforming BigQuery into a managed component of enterprise DataOps while controlling cloud spend.
ANOW! Automate is cloud-agnostic, supporting major cloud providers including AWS, Azure, and Google Cloud. It facilitates the deployment of dedicated tenants with customized geographic strategies, enabling distinct locations for primary services and disaster recovery to meet geo-compliance requirements.
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 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.
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.
