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.
The ANOW! Automate integration for Kubernetes provides comprehensive orchestration and control-plane capabilities, enabling enterprises to unify and manage their containerized workloads alongside traditional IT assets. It supports a full range of operations, from creating Persistent Volumes and Volume Claims to starting, executing commands on, retrieving logs from, and deleting Pods. This integration ensures Kubernetes becomes a first-class citizen in enterprise orchestration, moving beyond isolated cluster management to participate in governed end-to-end business processes.
The integration functions via native Kubernetes API calls, leveraging advanced, ready-to-use connectors that enable an Event-Driven Architecture. This allows ANOW! Automate to dynamically respond to both technical and business events, triggering actions like on-demand container creation or job execution. ANOW! Automate leverages its agent-based deployment model to securely interact with Kubernetes environments, ensuring authenticated and authorized access for all supported tasks. This architecture supports dynamic parameter passing and centralized critical path management, integrating Kubernetes workloads into broader enterprise workflows.
This integration is designed for senior IT executives, platform engineers, and DevOps leaders in large enterprises with complex, hybrid IT landscapes. It is particularly valuable for those seeking to bridge the mainframe-cloud chasm, ensure stringent compliance, and optimize operational efficiency across diverse environments. By consolidating Kubernetes activities with other enterprise workloads into a single operational dashboard, it provides a unified view for faster incident detection, reduced MTTR, and predictable cloud spending.
Achieve a single point of control over all Kubernetes activity, integrating containerized workloads with mainframe, cloud, and on-premise systems. This ensures unified visibility and control across your diverse, hybrid IT landscape.
Automate audit trails for Kubernetes operations with tamper-proof logging and real-time reporting, reducing audit preparation time from weeks to hours. Ensure all Kubernetes API calls are authenticated through governed identities, supporting Zero Trust principles.
Enable cost-aware orchestration by provisioning and decommissioning Kubernetes clusters and node pools on demand. This approach enforces disciplined infrastructure usage, leading to predictable cloud spending and demonstrable governance of Kubernetes consumption.
Consolidate Kubernetes Jobs, CronJobs, Deployments, and Helm releases into a single operational dashboard. This provides native access to status, logs, and resource state, leading to faster incident detection and reduced Mean Time to Resolution.
Use Cases
DEVOPS
Provision and de-provision Kubernetes clusters for automated upgrade rehearsals and testing, ensuring predictable resource consumption.
IT OPERATIONS
Integrate Kubernetes container execution into broader enterprise business processes that involve mainframes, SAP, and cloud services.
PLATFORM ENGINEERING
Ensure downstream tasks proceed only when Kubernetes deployments are fully ready, preventing race conditions and improving workflow reliability.
MLOPS
Coordinate data preparation, training, validation, and deployment of machine learning models across Kubernetes and external systems.
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In the 2025 Gartner Magic Quadrant for Service Orchestration and Automation Platforms (SOAP), Beta Systems Software was recognized as a Leader. Discover key market trends, vendor strengths and cautions, and how ANOW! Suite has been evaluated.
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As a trusted European software provider, Beta Systems ensures ANOW! Automate's architecture adheres strictly to EU regulations, such ashelp you achieve complete data sovereignty and compliance for your Kubernetes operations in GDPR. With local support and implementation partners, we provide complete data sovereignty and compliance peace of mind for your Kubernetes operations within DACH, Benelux & Nordics.
ANOW! Automate supports creating Persistent Volumes and Volume Claims, starting and deleting Pods, executing Jobs, copying files to Pods, executing commands within Pods, and retrieving Pod logs. These capabilities allow comprehensive management of your containerized workloads.
ANOW! Automate integrates with corporate identity systems via SAML 2.0 and OAuth 2.0. It retrieves Kubernetes credentials from encrypted internal storage or external vaults and applies role-based access control to workflow execution. Kubernetes API calls are authenticated through governed identities, supporting Zero Trust principles and full audit traceability.
While ANOW! Automate provides a unified operational dashboard for Kubernetes workloads and complements existing cluster-specific tools such as Prometheus and Grafana. It consolidates data for Kubernetes Jobs, CronJobs, Deployments, and Helm releases, providing a coherent operational overview alongside all other enterprise workloads.
We provide a clear pathway to demonstrable ROI within 12 months. This includes quantifiable metrics such as reduced manual tasks by 40-60%, optimized cloud spending through on-demand provisioning, and significantly shortened audit preparation times, directly translating to cost savings and reduced risk.
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 orchestrates Docker environments, transforming container usage into a managed component of the enterprise operating model. This integration provides unified monitoring, disciplined image lifecycle management, and predictable infrastructure costs, enabling Docker to operate consistently across developer, CI/CD, edge, and lightweight production scenarios.
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.
