Monitoring Matters
More Than Ever
Pipelines are growing faster, more complex, and more opaque. Yet, most teams still rely on legacy tools, fragmented logs, and guesswork. Monitoring is no longer optional. It's how science and systems move forward with confidence.
Core Challenges
Slow Scientific Progress
Modern science is moving software-first. Without system-level visibility, scientific progress remains difficult to measure, scale, and sustain.
No visibility into digitalisation
No structured way to measure ROI, track progress, or identify the areas to double down on AI investments.
Information lost between teams
Metadata and crucial context get lost during handovers—leading to confusion, rework, and slower collaboration.
Inefficient tools
Legacy systems lack the insights needed to debug, optimise, or even pinpoint performance bottlenecks.
Lack of cost attribution
Cloud spend is opaque. Manual tagging is unreliable. It's hard to predict budgets or connect spend to value.
Why Monitoring
Is The Solution
Because you can't fix what you can't see.
Tracer brings observability closer to where pipelines actually run: inside the system.
Science Is Moving Software-First
Modern research runs on code. Monitoring ensures your compute infrastructure keeps up.
No-Code Isn't Enough
Drag-and-drop tools hide what's actually happening in pipelines. Monitoring reveals the real mechanics.
Better Data Makes Better Decisions
From cost to performance, visibility enables teams to act decisively and collaborate with confidence.
Observability Unlocks Automation
You can't optimise what you can't see. Monitoring lays the groundwork for smarter workflows.
How Tracer Works
Ready to see Tracer in action?
