🔍 Full Observability in 2025: Beyond Metrics and Dashboards
Aleksei Aleinikov

Aleksei Aleinikov @aleksei_aleinikov

About: My interests range from building complex algorithms and designing high-performance systems to applying AI to solve real-world challenges.

Location:
Thessaloniki, Greece
Joined:
Mar 17, 2025

🔍 Full Observability in 2025: Beyond Metrics and Dashboards

Publish Date: May 27
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Grafana charts and alerts don’t equal true control — especially in the middle of an incident.

In 2025, real observability means understanding not just what broke, but why. It requires a full spectrum:
• 📊 Metrics — Detect symptoms (latency, 500s)
• 🧾 Logs — Provide context (where things broke)
• 📈 Traces — Reveal the root cause (what’s blocking and where)

🧠 And increasingly:
• 🔬 Profilers — Expose runtime bottlenecks
• 🤖 AI/ML Insights — Auto-suggest likely root causes and anomaly patterns

🚀 Case studies from Airbnb, Shopify, and Spotify show the power of this triad — and how smart observability saves hours during high-stakes moments.

Avoid common pitfalls:
– Don’t log everything
– Don’t rely on alerts alone
– Don’t scatter tools without correlation

“Observability is a mindset, not a toolbox. The best engineers are now hypothesis-driven, not just reactive.”

📖 Full guide:
https://medium.datadriveninvestor.com/full-observability-in-2025-a-step-beyond-traditional-monitoring-cebe06149e07

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