Automation Anywhere Scales Observability for the Next Generation of AI Applications with Kloudfuse

Observability for Next-Gen AI Applications: How Automation Anywhere Scaled with Kloudfuse

Executive Summary

Automation Anywhere, a global leader in agentic process automation, faced multiple challenges with its existing observability stack. High costs, fragmented tools, and limited data retention were impeding visibility and slowing down teams. As observability became central to delivering reliable, AI-powered automation at scale, the company needed a unified, scalable, and cost-efficient solution.

By switching to Kloudfuse, Automation Anywhere achieved:

About Automation Anywhere

Automation Anywhere is a global leader in agentic process automation, powering mission-critical systems for enterprises across multiple countries. The company's cloud-native Agentic Process Automation System enables organisations to automate complex workflows across front- and back-office operations, seamlessly integrating both SaaS and legacy systems. Driven by a mission to make automation accessible to everyone, Automation Anywhere delivers enterprise-grade, AI-powered automation at scale, empowering businesses to liberate their workforce from mundane tasks and focus on higher-order innovation and creativity.

Challenges

As a leader in AI-driven automation, Automation Anywhere powers mission-critical systems across the globe. But as they scaled, their existing observability stack was constrained by:

  1. High Licensing & Operational Costs: Engineers had to filter/trim logs, metrics, and traces due to cost, reducing visibility for root cause analysis.
  2. Fragmented Tooling: Logs, metrics, and traces lived in silos, requiring manual correlation that slowed down troubleshooting.
  3. Limited Retention: Observability data was capped at 30 days, hindering trend analysis, AI model training, and long-term investigations.
  4. Data Residency & Sovereignty: Hosting telemetry on third-party platforms conflicted with the company’s strict data governance, residency, and privacy frameworks.

Raghu Sethuraman

VP of Engineering, Automation Anywhere

“Before, we were constantly trading off cost and visibility. With Kloudfuse, our developers are free to explore and troubleshoot using all the data they need. They have freedom, speed, and data abundance, all in one place.”

The Kloudfuse Difference

Adopting Kloudfuse transformed observability into a strategic enabler.

  1. Unified Observability
    Automation Anywhere consolidated metrics and logs in one platform, with distributed tracing coming next, offering a single-pane-of-glass view across environments.

  2. Cost Efficiency + Unlimited Retention
    By running Kloudfuse within their own infrastructure, they eliminated vendor markups and gained control over data retention, now keeping logs and metrics for 2–3 years at minimal cost.

  3. AI-Ready Data Lake
    With deeper data access, the team can now:

    • Train predictive models on historical usage patterns
    • Forecast customer behavior and product usage
    • Improve the reliability of their products using AI-driven insights
      The Kloudfuse data lake also serves as a base layer for MLOps and agentic workflows, enabling:
    • Seamless monitoring of AI/ML workloads across AWS, Azure, and GCP environments.
    • Feeding observability data into intelligent, agentic workflows
  4. Complete Data Ownership
    Kloudfuse’s Self-SaaS, BYOC (Bring Your Own Cloud) deployment ensures all observability data stays within Automation Anywhere’s network, meeting strict data privacy, governance, and residency requirements.

  5. Broad Adoption, Developer Freedom
    Today, hundreds of users across multiple functions, including Platform, QA, DevOps, Customer Support, and Product, access observability data directly through Kloudfuse's self-service dashboards. The platform powers observability across 15 global regions, monitoring 80–90 Kubernetes clusters deployed across AWS, GCP, and Azure, serving customers globally.

Quantifying Success: Key Advantages Realized with Kloudfuse

Upon migrating to Kloudfuse, Automation Anywhere experienced a significant transformation in its operational efficiency, resulting in substantial returns, including:

Why Automation Anywhere Chose Kloudfuse for Observability Transformation

  1. Flat Pricing Model: Kloudfuse’s transparent licensing allows developers to troubleshoot freely.
  2. End-to-End Visibility: Unified logs, metrics, and tracing within a single integrated data lake provides full observability across the stack.
  3. Freedom of Exploration for Developers & AI Teams: Engineers can explore unfiltered, full-fidelity datasets for faster root cause analysis.
  4. Multi-Agent Ingestion Support: Integration with various agents ensures flexibility across environments.
  5. Cloud-Agnostic: Centralized observability across AWS, GCP, and Azure.
  6. Data Ownership & BYOC Deployment: Kloudfuse runs within Automation Anywhere’s own cloud environment.
  7. Fast, Personalized Support: Feature requests are typically turned around in days, not months.

“The ability to ingest massive amounts of data and set up alerts without worrying about cost or rate limits is a game changer.”

Looking Ahead

Automation Anywhere is expanding its use of Application Performance Monitoring (APM) and Large Language Model (LLM) observability within the Kloudfuse platform.

Conclusion

By moving to Kloudfuse, Automation Anywhere now benefits from unified, real-time visibility across its observability data, alongside improved cost efficiency, agility, and control. The platform directly supports the company’s mission to deliver enterprise-grade, AI-powered automation at a global scale.