Why HappyPath Chose Oodle Over Datadog for Cost-Efficient, AI-Native Observability
“Oodle makes telemetry smart, cheap, and accessible. Setup was a breeze. No hours wasted like with Datadog or our homegrown setup. That simplicity was a game changer.”
Anupam Dev G.
Lead Application Architect, HappyPath
5x
Cheaper than Datadog
AI-First
Dashboarding and Debugging
30-Min
Render Integration Setup
Unified
Full Chain Service Visibility
HappyPath is an AI-powered platform that enables anyone to use natural language for automated software testing.
IndustryAI-Powered Software Testing
Company size< 50
Previous ToolsPapertrail, Render Metrics
Challenge
“Getting a vertical as well as horizontal mind map of our system and figuring out where things are going wrong and preemptively handling them has been our main goal.”
Anupam Dev G., Lead Application Architect
“We had no way to tell where things were failing. It could be in the automation logs, a browser resource constraint, or the virtual display process - each with its own separate logs. We just want to connect the dots easily.”
Harry Keefe, Co-founder and CTO
As customer volume grew, the team needed observability that could keep pace with their scale and complexity but their existing tools couldn't.
Pain Points:
Papertrail was too expensive: Team had to work with lesser retention than they wanted.
Render's observability was limiting: Not enough depth to trace issues across their growing multi-service architecture.
No single pane of glass: AWS infrastructure metrics and application metrics/logs lived in separate, disconnected tools.
No tooling to trace long-running, multi-service tasks: Root causes often buried in a different service's logs across multiple processes.
Growing infrastructure, no visibility: Moving to AWS with EC2, ALB, and ElastiCache but no way to monitor resource consumption across services.
Solution
Why HappyPath Chose Oodle
“We started looking for a reasonably priced yet functional alternative to Datadog. Oodle was helpful beyond that.”
“I really like how Oodle detects anomalies automatically and gives you a consolidated view.”
— Anupam Dev G., Lead Application Architect
HappyPath needed a platform that could match Datadog's depth at a startup-friendly price and keep shipping features fast enough to stay ahead of their own rapidly evolving infrastructure.
What made the difference:
Fast onboarding: Render integration set up within 30 minutes, with metrics and logs flowing immediately.
Cost-efficient and feature-rich: Full observability capabilities — metrics, logs, traces — without enterprise-level pricing.
AI-native capabilities: Claude integration for AI-assisted debugging, aligned with HappyPath's AI-first approach.
Out-of-the-box anomaly detection: Detect release regressions without manually configuring any alerts.
JSON support in logs: Native JSON parsing for structured log data.
Incredible customer support: Quick responses and hands-on assistance that felt like a partnership, not a vendor relationship.
Impact
A Growing Partnership
“The team and their support are excellent, and I really like the AI-based UI. It lets me debug issues, generate post-mortems, and build dashboards using plain English.”
Anupam Dev G., Lead Application Architect
“From what I've seen, we'll be able to set up some cool dashboards and get that full chain visibility.”
Harry Keefe, Co-founder and CTO
With Oodle in place, HappyPath is building the observability foundation for their next phase of growth with comprehensive dashboards across all services, deeper adoption of traces and AI debugging, and a single platform that scales with them as they move to AWS.
More than a Datadog alternative: Started for pricing, staying for the AI-Native experience, ease of onboarding and the team behind the product.
Whole team ramping up on dashboards: Engineering team expanding from basic log monitoring to building comprehensive dashboards using Oodle MCP.
Platform that evolves with them: Traces, AI debugging, and MCP shipped since HappyPath onboarded — keeping pace with their own rapid growth.
Full chain visibility and faster debugging: Correlated metrics and logs across all services, with AI-native debugging to pinpoint root causes faster.
“Using the MCP server with Claude Code was really great and probably the only way I'll ever update a dashboard again.”
Joaquin Avellan, Software Engineer
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