Automation Observability
Achieve Unified Visibility Across Your Hybrid Environment

The evolution of IT, from z/OS mainframes to diverse cloud environments and specialized tools like workload automation, RPA, and stream processing, has led to significant technical fragmentation. Operating across these automation silos demands constant context switching and manual intervention, resulting in low speeds and reduced quality. Without a unified view, enterprises face alert fatigue and UI overload, making it difficult to prioritize critical tasks and pinpoint issues across disparate systems, often leading to missed SLAs and increased operational risk.

Workload automation environments generate an immense volume of logs, metrics, events, and traces across various systems, applications, and platforms. This data often lacks correlation and a shared timeline, creating "monitoring islands" where dashboards appear healthy in isolation but fail to reveal the true operational picture. Without contextual insights, IT teams waste valuable time manually piecing together information to identify root causes, resulting in slower troubleshooting, higher MTTR, and a reactive firefighting culture.

Stricter global regulations, such as GDPR, require tamper-proof log retention and auditable processes, especially for critical operational data. Many organizations struggle to manage and analyze the vast amounts of log data generated by workload automation environments effectively. Relying on disparate tools or manual backups for compliance often leads to inefficiencies, increased costs, and heightened risks of non-compliance, making audit preparation a weeks-long, resource-intensive endeavor.

Enterprises face a significant skills shortage, particularly as experienced mainframe and automation personnel retire, taking decades of accumulated process knowledge with them. This "knowledge drain" poses a high risk to operational stability and modernization efforts. Existing monitoring approaches often require deep, specialized expertise for each tool, further exacerbating the problem. Without solutions that democratize insights and automate complex analysis, organizations struggle to maintain operational continuity and innovate.

ANOW! Observe provides a central operations intelligence solution purpose-built for workload automation and orchestration across hybrid environments. It leverages OpenTelemetry to collect, normalize, and unify metrics, events, logs, and traces from diverse sources, including mainframes, distributed systems, cloud platforms, and Control-M. This creates a single pane of glass for all automated workflows, offering real-time transparency and actionable insights across your entire IT ecosystem, eliminating automation blind spots and reducing MTTR.

ANOW! Observe consolidates logs from diverse sources, including job logs, output, Java logs, and Syslog, into a centralized, OAIS-compliant repository specifically designed for WLA environments. It features flexible retention policies, powerful search, and intelligent analytics to simplify audits and detect anomalies. Logs are securely archived with cryptographic integrity and AI-native PII filtering, ensuring compliance with global standards, providing audit-proof storage for critical operational data without performance impact.

Our solution delivers real-time process monitoring with auto-refreshing data and live system status updates, enabling immediate visualization of changes such as traffic spikes or errors. It integrates seamlessly with your existing WLA tools, such as Control-M, via OpenTelemetry, offering low-latency performance and visualizing job interconnection insights. This enables proactive response and smarter prioritization across various environments, ensuring you understand the impact of issues on business-critical services and key workflows.

The platform provides continuous tracking of key performance indicators (KPIs) to deliver real-time insights into the health and performance of your systems. Leveraging OpenTelemetry, it offers specialized monitoring tailored for Kubernetes and containerized environments. This deep visibility allows for quick detection of anomalies, resource constraints, or performance degradation, ensuring optimal system reliability and efficient resource utilization, and integrating seamlessly with your existing infrastructure to provide a unified health overview.

Automatically collect, archive, and analyze all operational logs in a tamper-proof, OAIS-compliant repository, reducing audit preparation from weeks to hours and ensuring adherence to global standards.

Gain comprehensive, real-time visibility across mainframes, distributed systems, and cloud environments through a single pane of glass, eliminating operational silos and enabling proactive management of complex automation workflows.

Reduce manual tasks by 40-60%, cut batch runtimes by 20-30%, and drastically shorten Mean Time to Resolution (MTTR), resulting in significant cost savings and minimized business risk.