ONEngine, a pioneer in the no-code/low-code automation space, empowers organizations to build sophisticated workflows and applications without traditional coding. As their platform's adoption soared, ONEngine faced a critical challenge: maintaining comprehensive visibility across their systems while managing operational costs effectively. With exponentially growing data volumes and increasingly complex monitoring needs, the company required a solution that could deliver enterprise-grade observability without the associated price tag.

The Opportunity

As ONEngine's platform expanded, the engineering team recognized the critical importance of robust observability to ensure system reliability and performance. Their initial evaluation of New Relic revealed a significant hurdle: while it offered necessary features, the costs were prohibitive. With a projected monthly expense of $4,770—amounting to $57,240 annually—New Relic presented a substantial financial burden.

Simultaneously, ONEngine's data ingestion requirements were skyrocketing. Initially processing 270GB of data daily, the team anticipated this volume would nearly double to 500-550GB within months. This data encompassed security logs, metrics, and traces essential for monitoring system health and diagnosing issues. Furthermore, ONEngine needed to support 30 users with real-time alerting, customizable dashboards, and rapid query performance across 45 days of historical data.

The challenge was clear: ONEngine needed a scalable, cost-effective observability solution capable of handling their burgeoning data needs while ensuring high performance and usability for their team.

The Solution

After a thorough evaluation of alternatives, ONEngine opted to implement OpenObserve on Amazon Elastic Kubernetes Service (EKS). OpenObserve offered a unified platform for logs, metrics, and traces at a fraction of New Relic's cost. Deploying OpenObserve on EKS provided ONEngine with the necessary scalability and reliability while keeping infrastructure costs in check.

The implementation process involved migrating 13TiB of historical data into OpenObserve's ecosystem, encompassing all security logs and operational data crucial for analysis and insights. The team configured custom VRL (Vector Remap Language) functions for advanced data processing and established real-time alerting systems to proactively monitor critical events.

OpenObserve's flexibility enabled ONEngine to create tailored dashboards meeting their users' specific needs while maintaining high-speed query performance across extensive datasets. The seamless onboarding of 30 users further demonstrated the platform's usability and readiness for enterprise-scale operations.

Transformative Results

ONEngine's transition to OpenObserve yielded remarkable outcomes across multiple fronts:

Metric	Before OpenObserve	After OpenObserve	Impact
Monthly Cost	$4,770	$450	90% reduction
Annual Expenses	$57,240	$5,400	$51,840 savings
Daily Data Ingestion	270GB	500-550GB (planned)	Nearly doubled capacity
Data Retention	Limited	45 days	Extended visibility
Query Performance	Constrained	High-speed across 45 days	Improved operational efficiency
Total Data Managed	N/A	25TiB	Comprehensive coverage
User Management	Basic	Seamless onboarding	Enhanced functionality
Security Analysis	Limited	Comprehensive	Improved insights into security events

The company achieved a 90% reduction in monthly observability costs, plummeting from $4,770 to $450, resulting in annual savings of $51,840 without compromising functionality or performance. OpenObserve's technical prowess was evident in its ability to perform rapid queries across 45 days of historical data and manage 25TiB of data with real-time alerting, ensuring effective system monitoring as ONEngine scaled. The platform facilitated the smooth onboarding of 30 users with customized dashboards, while real-time alerting and advanced VRL functions enabled the engineering team to swiftly address potential issues, enhancing overall system reliability and minimizing downtime.

Looking Ahead

With OpenObserve firmly established, ONEngine is well-positioned for future growth. Their planned expansion to ingesting 500-550GB of daily data will further test OpenObserve's scalability—a challenge the platform is well-equipped to handle. By unifying logs, metrics, traces, and security insights into one cost-effective solution, ONEngine has built an observability infrastructure that supports current operations and future innovation.

What Other Companies Can Learn from ONEngine's Success

ONEngine's transformation offers valuable lessons for organizations facing similar challenges:

1. Cost Efficiency Without Compromise: By adopting OpenObserve, ONEngine achieved enterprise-grade observability at just 10% of the cost of traditional solutions like New Relic.
2. Scalability is Key: As data ingestion needs grow over time, platforms like OpenObserve provide the flexibility required to scale without sacrificing performance or affordability.
3. Unified Observability Simplifies Operations: Combining logs, metrics, traces, and security insights into one platform reduces complexity while improving efficiency across teams.

What ONEngine Says About OpenObserve

Wayne Creel, CTO of ONEngine, emphasizes the impact of OpenObserve on their operations:

OpenObserve has proven to be a reliable and cost-effective solution built to address real-world challenges.

ONEngine's story demonstrates how organizations can overcome financial constraints while building a scalable observability strategy that supports growth and innovation. For companies seeking similar results, OpenObserve offers an open-source alternative that delivers unmatched value without compromise.

Ready to Transform Your Observability?

Whether you're running a no-code automation platform, managing complex distributed systems, or scaling your cloud infrastructure, OpenObserve can help you achieve comprehensive observability without the high costs of traditional solutions. Here's how you can get started:

• Calculate Your Potential Savings → Contact us for a custom quote and an assessment of your potential cost reductions.
• Learn More About Our Platform → Explore how OpenObserve works for high-volume data environments.
• Request a Demo or Try OpenObserve→ See the platform in action with your own data.