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

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.

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
   • 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.

The Kloudfuse data lake also serves as a base layer for MLOps and agentic workflows. By hosting data internally, Automation Anywhere is future-proofing its technology. With no rate limits or retention caps, developers building agentic workflows now have complete freedom to explore, analyze, and operationalize data at scale.

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:

• 86% Reduction in MTTR: By leveraging the Kloudfuse platform, Automation Anywhere has dramatically accelerated incident resolution, reducing MTTR from approximately 3 weeks to 3 days or less. This improvement is driven by Kloudfuse’s unified observability platform, which eliminates the need to correlate data across multiple siloed tools and manually match timestamps between logs and metrics.
• 5X Increase in Data Ingestion: With Kloudfuse, Automation Anywhere scaled from 30TB/day to 150TB/day of telemetry data, a 5X increase. Engineers no longer need to filter out debug logs or trim metrics to manage costs, enabling complete visibility for root cause analysis.
• ~50% Reduction in Total Observability Costs: Despite handling 5X more data, Automation Anywhere achieved approximately 50% overall savings, with significantly lower license and storage costs.
• Unlimited Data Retention: Data retention expanded from 30 days to unlimited, with the ability to hydrate archived logs from S3 for compliance, legal, or historical investigations.
• Broad User Access: Platform access expanded from a centralized team to hundreds of users across Engineering, DevOps, QA, Customer Support, and Product teams — giving engineers the freedom to query without restrictions.
• Full Data Ownership & Residency: With Kloudfuse’s Self-SaaS deployment model, Automation Anywhere now hosts all observability data internally, gaining complete data ownership while meeting corporate data residency and governance policies.

Why Automation Anywhere Chose Kloudfuse for Observability Transformation

1. Predictable Pricing Model

   Kloudfuse’s transparent licensing allows developers to troubleshoot freely, without worrying about ingest, query, or retention-based overages.

2. End-to-End Visibility

   Unified logs, metrics, and tracing within a single integrated data lake provides full observability across the stack, accelerating root cause analysis and troubleshooting.

3. Freedom of Exploration for Developers & AI Teams

   No need to spend time trimming or filtering data. Engineers can explore unfiltered, full-fidelity datasets for faster root cause analysis and better product development.

   • Built-in fingerprinting and auto facet extraction automatically identify and index key log attributes, eliminating manual parsing.
   • Full support for high-cardinality data without limits.
   • Uses an industry-standard query language, not vendor-specific syntax, minimizing the learning curve.

4. Multi-Agent Ingestion Support

   Seamless integration with a variety of agents, including Datadog Agent and OpenTelemetry (OTel), ensures flexibility across environments.

5. Cloud-Agnostic

   Centralized observability across AWS, GCP, and Azure, with deep support for large-scale Kubernetes environments across 15 regions.

6. Data Ownership & BYOC Deployment

   Kloudfuse runs within Automation Anywhere’s own cloud environment, keeping sensitive AI data private and compliant with internal data governance, residency, and security policies.

7. Fast, Personalized Support

   Feature requests are typically turned around in days, not months, offering what the team calls the best support experience they’ve had.

Looking Ahead

Automation Anywhere is expanding its use of Application Performance Monitoring (APM) and Large Language Model (LLM) observability within the Kloudfuse platform to consolidate tooling, reduce complexity, and provide developers with a unified source of truth across all telemetry data.

They are also focusing on monitoring the next generation of applications, including AI/ML workloads, where data from various AI and MLOps platforms is fed into Kloudfuse for advanced observability.

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.

With 5X more data, 86% faster resolution times, and ~50% lower observability costs, Kloudfuse has become a foundational pillar for Automation Anywhere’s reliability, speed, and innovation. Today, hundreds of users across engineering, support, and product teams rely on Kloudfuse to power data-driven decisions and ensure seamless performance across global environments.