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As orchestration spans mainframes, cloud, data pipelines, and AI workflows, fragmented telemetry leaves teams and AI systems without a shared operational picture. Standardized Workflow-aware Observability solves this by unifying workflow telemetry, logs, and SLA status through a common OpenTelemetry-based model, giving every role tailored insight from one consistent data foundation. In this article, we expand on the importance of standardized workflow-aware observability and present Beta Systems' ANOW platform as a solution to this challenge.
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Beta Systems has been positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms. Read the complimentary report to explore Gartner assessment of the SOAP market, compare recognized providers, and learn more about Beta Systems’ position.
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If your data engineers are still manually kicking off jobs, chasing failed transfers, or writing custom scripts to keep pipelines running, you're spending engineering hours on problems automation already solved. Data pipeline automation is the use of scheduled or event-driven workflows to move, transform, and monitor data between systems without manual intervention. It's quickly becoming a baseline expectation rather than a competitive edge. In this article, we break down what data pipeline automation actually involves, which parts of the pipeline it covers, how to implement it step by step, and which platforms enterprise teams are evaluating in 2026.
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Enterprise IT has spent decades building automation tools such as job schedulers and batch pipelines. et most of them were locked in proprietary systems that are difficult to scale across the broader platform ecosystem. You could run a workflow, but you couldn't version it like code, trigger it from a CI/CD pipeline, or let an AI agent use it through a standard API. As a result, a new architectural pattern has emerged: Deployable API-First Automation, which is redefining how enterprises think about automation as an operational asset. In this article, we explore the implications of this shift for IT operations, DevOps, data engineering, and AI strategy.
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This Enterprise Associates Management (EMA) research reveals why orchestration, observability, and AI are converging – and how enterprises can build an enterprise control plane to govern outcomes across increasingly federated automation environments.
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Over two incredible days in Berlin, we had the opportunity to bring together customers, partners, and industry experts to explore the future of autonomous IT operations. A huge thank you to everyone who joined us and made our very first Beyond event such a success. Missed it, or want to relive the highlights? Check out our 90-second recap video!
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A few years ago, cloud strategy was simple: pick a provider, migrate, and optimize. Fast-forward to today, and that same approach feels outdated. Enterprises now operate in increasingly complex IT ecosystems, running workloads across multiple cloud providers and often in hybrid environments. What once was a linear migration path has evolved into a dynamic, distributed architecture.
As we move further into Industry 4.0, organizations are striving for greater efficiency, visibility, and reliability. This is especially true for enterprises, which handle vast amounts of data on a daily basis. The competition won’t be waiting – you’ll either move forward or fall behind. One way to avoid falling behind and improve overall efficiency is to automate data pipelines. Not only does it improve and accelerate data flow, but it also supports your analytics, helping you draw more accurate conclusions and make more precise predictions and forecasts. In this article, we will explore what data pipeline automation is, how to automate your data pipelines, and the benefits it brings to your organization.
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What features should your enterprise automation software have? At a minimum, it should provide efficiency-boosting capabilities such as real-time automation of business-critical processes, application process automation, and strong security measures like secure data transfer and robust data pipeline orchestration. In this article, we outline the most essential features to look for in enterprise automation software.
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This article explores why enterprises are moving away from legacy mainframe systems toward modern solutions such as those offered by Beta Systems. As rising costs, vendor lock-in, and increasing demands from AI-driven, compliance-focused environments put pressure on traditional IT infrastructures, organizations are seeking more agile, transparent, and cost-efficient alternatives. In this article, we discuss the top six reasons that are driving your competitors to these alternative solutions and how you can do the same without disrupting your workflows.
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In this session, discover how ANOW! Automate closes the integration gap by enabling seamless, purpose-built integrations – while maintaining full control over governance, data protection, and standardization. Learn how to empower both developers and administrators to build scalable automation without introducing risk or operational complexity.
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In this session, discover how ANOW! Automate acts as a “Super Orchestrator,” connecting AI-driven platforms and cloud services into seamless, end-to-end analytical pipelines. Learn how to move beyond isolated data workloads and build integrated decision engines that deliver results exactly when they are needed.
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In this technical deep dive, you’ll see how an event-driven orchestration layer connects legacy and cloud environments into a single, intelligent workflow. Discover how real-time triggers synchronize jobs across systems, how “bridge mode” enables safe, phased migrations with instant fallback, and how centralized monitoring provides full end-to-end SLA transparency.
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In this session, you’ll discover how to extend Azure DevOps with ANOW! Automate to enable secure, scalable, and fully governed delivery across complex IT landscapes. Learn how to unify workflows across GitLab, Azure DevOps, and AWS – while maintaining full control over releases in multi-cloud environments.
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This session is designed for professionals seeking a clearer understanding of the financial and strategic implications of continued reliance on Automic in today’s evolving market landscape.
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Artificial Intelligence (AI), Machine Learning, and accelerated digital transformation initiatives are driving a substantial increase in IT workloads. As staffing levels remain constrained, IT leaders are under growing pressure to optimize operations and improve efficiency.
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Join Dan Twing, leading analyst and author of EMA’s Radar Report on Workload Automation and Orchestration, to explore how automation teams can remain stable while everything around them accelerates.
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SAP orchestration is a cornerstone for modern enterprises managing complex, hybrid IT landscapes. It streamlines, schedules, and orchestrates IT processes, bridging the growing diversity of SAP and non-SAP platforms.
Managing thousands of IT jobs across hybrid environments is complex, and when batch processes fail, the business feels it immediately. Whether it’s a missed end-of-day report, a delayed data pipeline, or a financial close that runs hours late, batch scheduling failures are costly. Batch job scheduling is the solution to this. Keep reading to find out what it means, the key features to look for, common challenges, and the top batch scheduling platforms available in 2026.
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Workload Automation (WLA) has long been the invisible backbone of enterprise operations, orchestrating critical business processes from payroll to financial reconciliation. While essential, the landscape is shifting dramatically. We are moving beyond mere task execution to a new era: Agentic Automation and Governed Autonomous Control. This transformation is reshaping how operations function, driven by the convergence of AI, orchestration, and observability.
With cloud automation, you can improve the scalability of your IT infrastructure, boost governance efficiency, and orchestrate automated tasks. However, due to its broad scope, it is often a difficult process requiring more effort & expertise or a better-tailored automation solution. In this article, we look in-depth into cloud automation: its benefits, features, and challenges. We invite you to read on!
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Discover why ANOW!® Suite by Beta Systems ranked number one in the Enterprise Management Associates Radar Report for Workload Automation and Orchestration 2025 for the fourth consecutive time, with top scores in Product Strength and Deployment Cost Efficiency and special recognition for observability‑enabled automation. Beta Systems is recognized by analysts for its pioneering approach – infusing observability and AI into orchestration and setting a new benchmark for advanced workload automation platforms.
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Beta Systems has been officially selected by AWS as a Launch Partner for the AWS European Sovereign Cloud. This partnership highlights the company’s strong position within the European cloud ecosystem and confirms the high quality of its solutions and services.
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The landscape of Infrastructure and Operations (I&O) automation continues to evolve at a rapid pace, with emerging technologies promising to transform how organizations manage their IT infrastructure. Gartner's latest Hype Cycle™ for I&O Automation 2025 reveals fascinating insights into which technologies are gaining momentum and which are approaching mainstream adoption. This comprehensive analysis offers I&O leaders a roadmap for making strategic technology investments in an increasingly complex digital ecosystem.
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How can classic workload automation integrate with modern Kubernetes environments? This article explores IBM Workload Scheduler, the Beta Systems Cloud Connector, and the roles of Ingress, Sidecars, and Git-based job definitions in enterprise IT automation for containerized infrastructures.
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As modern IT ecosystems grow more distributed and complex, organizations face mounting pressure to gain clear, real-time insights into system behavior. Enter OpenTelemetry – a game-changing open-source standard that’s redefining how we collect and unify logs, metrics, and traces across platforms. In this article, we explore how OTEL is fast becoming the backbone of observability infrastructure, empowering teams to improve performance, cut costs, and make smarter, faster decisions. Whether you're a developer, SRE, or executive, understanding OTEL means staying ahead in the new era of digital operations.
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In today's fast-paced, data-driven IT landscape, the demands on enterprise systems are escalating rapidly. The need for agility, scalability, and integration with emerging technologies like AI, cloud infrastructure, and observability platforms is reshaping how organizations approach automation. Amid this transformation, many companies are confronting a critical question: Should we modernize our workload automation (WLA) platforms?
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Is your organization being held back by outdated workload automation tools? In this exclusive On-Demand Webinar, Dan Twing (President & COO, Enterprise Management Associates) and Gert Adolphsen (General Manager Americas, Beta Systems) share proven strategies to successfully move to modern automation platforms – at your own pace, whenever it suits you.
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The EMA report highlights the growing importance of secure, automated data movement in digital transformation. Workload Automation (WLA) and Managed File Transfer (MFT) are key technologies, especially in multi-cloud environments. Enterprises are shifting toward integrated, scalable solutions to ensure efficient and compliant data flows.
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In our on-demand webinar you will discover how ANOW! Automate transcends traditional file transfer solutions by offering advanced Managed File Transfer (MFT) capabilities that seamlessly integrate into broader business workflows. Learn how to address critical data orchestration challenges with a solution designed for security, scalability, and efficiency – regardless of your industry.
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Read this analyst piece from Enterprise Management Associates following the launch of Beta Systems’ new observability product: ANOW!® Observe. Learn how this turnkey observability platform leverages OpenTelemetry standard and Beta Systems’ decades-long expertise in workload automation to deliver full visibility and control to enterprises wanting to modernize their IT environments.
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This latest research carried out by Enterprise Management Associates (EMA) explores how enterprises are leveraging OpenTelemetry to drive operational efficiency, workforce productivity, and business innovation.
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The landscape of IT automation is undergoing rapid transformation, driven by the convergence of artificial intelligence, cloud adoption, and the demand for enterprise-wide orchestration. Enterprise Management Associates (EMA), under the leadership of President Dan Twing, has released an extensive study titled “The Future of WLA,” co-sponsored by Beta Systems Software AG.
What is workflow orchestration? This term refers to the complete management of your systems and data in a process. Its goal is to increase efficiency in your organization. Learn more.
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Enterprise automation is the ultimate tool to make your organization more efficient. It involves utilizing technology to streamline, integrate, and automate business processes across your whole business. In this article, we look at it more closely. Read on to find out more!
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Discover practical solutions to common Cloud and DevOps challenges with the ANOW! platform in this on-demand webinar.
In an era where digital transformation is accelerating, organizations must embrace automation and orchestration to remain competitive. This latest research carried out by Enterprise Management Associates and sponsored by Beta Systems, explores how enterprises are leveraging workload automation (WLA) and generative AI to drive operational efficiency, workforce productivity, and business innovation.
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Data centers are at a turning point: The constant increase in data volumes, the growing demand for AI applications and the growing complexity of hybrid IT landscapes are shaping the industry. While hyperscalers like Amazon are investing billions in IT infrastructure expansion, traditional data center operators need to adapt to keep pace with the demands of modern technologies. This article offers a glimpse into the future of data centers and highlights the most exciting trends and challenges.
In a world where digital transformation drives every aspect of business, managing data across complex, multi-cloud environments is more critical than ever. "Data in Motion" research offers an in-depth exploration of the latest trends, challenges, and technologies that are reshaping how enterprises orchestrate file transfers and data pipelines. Authored by Dan Twing, president and COO of Enterprise Management Associates (EMA), this report is a must-read for IT executives, data architects, and cloud strategists looking to build resilient, compliant, and scalable data movement strategies.
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Service Orchestration and Automation Platforms (SOAP) are revolutionizing how businesses streamline operations and embrace digital transformation. Far beyond simple task scheduling, SOAP integrates automation, resource management and cloud-native capabilities into a powerful, unified system. By breaking down silos, enabling intelligent decision-making and driving innovation, SOAP empowers organizations to tackle complexity, reduce costs and scale with ease. Discover why SOAP is becoming a must-have tool for enterprises ready to thrive in a fast-changing world.
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Discover how leading insurers are transforming their operations with cloud-based solutions. Download our whitepaper, "A Strategic Guide to Modernizing Insurance IT Infrastructure," to explore actionable strategies for cloud migration, IT modernization, and navigating regulatory challenges in a competitive industry.
Automation is becoming increasingly indispensable in modern organizations, driving efficiencies across departments and fields from infrastructure to DevOps. However, while most companies recognize the potential benefits of automation, many still struggle to make the most of it. Fragmented processes, disconnected tools, and poorly defined objectives often prevent organizations from reaching full automation potential. Here, we’ll explore a strategic approach to building a mature automation framework that enables seamless, efficient, and scalable operations.
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In a recent presentation, Lead AI Architect Kevin Engelke shared insights into the evolving landscape of artificial intelligence and how these advancements are shaping Beta Systems’ approach to innovation. He covered three main topics: the journey to multimodal AI, cross-platform integration, and a glimpse into future AI possibilities. Here’s an overview of these exciting developments and what lies ahead for AI.
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Are you ready to go beyond basic job scheduling and orchestrate workloads across all your data ecosystems? Watch our on-demand webinar “Easy Workload Orchestration Across Data Ecosystems”. Discover how to streamline and automate your workloads to meet both current and future demands.
Workload automation (WLA) is one of the cornerstones of today’s data center architecture – with WLA systems, IT processes are streamlined, scheduled and orchestrated, bridging the growing diversity of IT platforms.
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Are you thinking about replacing your existing Broadcom CA Spool or CA View system? We can help you cut costs significantly!
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Explore the top Workload Automation and Orchestration solutions on the market according to the most comprehensive and reliable research in the industry: the Radar Report prepared by Enterprise Management and Associates, the independent research and analysis organization. Learn what makes ANOW!® Automate by Beta Systems the leading WLA product for the third consecutive time.
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In our webinar, you will learn how event-driven automation can take your business beyond traditional workflows. You'll discover how to implement dynamic workflows that respond instantly to business needs and increase efficiency. We will present the Enterprise Automation Maturity Framework and use a practical example to show how this approach optimizes processes and improves your business results.