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.
The ANOW! Automate integration with Amazon Web Services (AWS) provides comprehensive automation and orchestration capabilities across the AWS cloud ecosystem. It enables bidirectional control and monitoring of AWS resources and workloads, ranging from data storage in S3 and RDS to compute with EC2, EMR, and Batch to advanced analytics and machine learning services such as Glue, SageMaker, and QuickSight. This integration is designed for financial services, manufacturing, and retail enterprises that manage complex, hybrid IT landscapes and seek to unify their cloud and on-premise operations.
ANOW! Automate delivers its cloud services as a SaaS offering on the AWS Marketplace. It connects to AWS services through two distinct endpoint types: the 'Amazon Web Services Endpoint' and the 'Amazon Web Services Common Endpoint'. The former defines connection details for AWS CLI-based interactions and supports Basic, Anonymous, and User Profile authentication. The latter specifies credentials for AWS SDK-based service interactions, using only Basic Authentication for tasks such as S3 object management and for initiating AWS Batch jobs and Step Functions. This dual-endpoint approach ensures robust and flexible connectivity to a broad spectrum of AWS capabilities.
This powerful integration is specifically tailored for senior IT executives, including CIOs, VPs of IT Operations, and IT Directors, who are tasked with modernizing hybrid IT landscapes, ensuring stringent compliance, and optimizing operational efficiency. It provides a strategic solution to mitigate business risk, achieve auditable compliance, and future-proof IT infrastructure by integrating seamlessly with existing mainframe investments while extending automation into the cloud.
Achieve seamless hybrid IT orchestration across mainframe and cloud environments. ANOW! Automate consolidates AWS jobs and data pipelines into a single operational dashboard, providing unified visibility and control, critical for complex enterprise IT stacks.
Automate compliance and audit trails with tamper-proof logging and real-time reporting for AWS workloads. This capability significantly reduces audit preparation time from weeks to hours, ensuring regulatory adherence for GDPR, MaRisk, DORA, and other standards.
Implement cost governance and self-healing for AWS workloads. ANOW! Automate right-sizes workloads, enforces approval gates for high-cost runs, and integrates with cost-monitoring platforms to detect anomalies, leading to predictable and well-governed AWS consumption.
As the official AWS European Sovereign Cloud (ESC) Launch Partner, Beta Systems provides secure and reliable services based on AWS technologies, while ensuring that all data and operations remain under exclusive EU control and meet the strictest regulatory requirements.
Use Cases
IT OPERATIONS
Consolidate AWS jobs, containers, and data pipelines into a single dashboard for faster incident detection and lower MTTR.
DATA ENGINEERING
Replace time-scheduled AWS data pipelines with event-driven triggers for improved data freshness and SLA attainment.
CLOUD INFRASTRUCTURE
Orchestrate the full lifecycle of AWS resources, including provisioning, validation, execution, and decommissioning, with approval gates.
MLOPS
Coordinate end-to-end AI/analytics pipelines on AWS, from data prep to model deployment, with full visibility and governance.
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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 guarantees enterprise-grade security and compliance by leveraging AWS's robust infrastructure, meeting international standards like SOC2. It integrates with AWS Secrets Manager and IAM, supporting role-based authentication and short-lived credentials for governed, auditable access to AWS APIs.
Yes, ANOW! Automate provides enterprise-grade managed file transfer capabilities for secure and reliable data ingestion into S3. It includes centralized configuration, encryption, retry logic, delivery acknowledgments, and full audit logging, ensuring validated inputs for AWS workloads and strengthening compliance.
The 'Amazon Web Services Endpoint' connects via the AWS CLI using a hostname and supports Basic, Anonymous, or User Profile authentication. The 'Amazon Web Services Common Endpoint' connects via the AWS SDK, does not require a hostname, and exclusively supports Basic Authentication for specific service interactions.
ANOW! Automate standardizes incident response by automatically opening ServiceNow or Jira incidents for AWS failures. These incidents are enriched with critical details, responsible teams are notified, targeted remediation is executed, and the loop is closed on resolution, ensuring complete evidence and adherence to enterprise processes.
Yes, ANOW! Automate leverages AWS to deliver its Cloud Services and is available as a SaaS offering on the AWS Marketplace. It is designed for global deployment, ensuring optimal performance and reduced latency by allowing users to deploy in their preferred regions.
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 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.
