Observability - Logs, Metrics and Traces
Logs, metrics, and traces are not the same thing.
Most teams start with: "Let's push some logs and add a dashboard."
Then an incident hits and nobody knows where to look.
Metrics
Is the system healthy?
- Numbers over time (CPU, latency, error rate, QPS).
- Great for alerts and dashboards.
- Tell you *that* something is wrong, fast.
- Example: p95 latency went from 200ms → 1.5s
Logs
What exactly happened?
- Detailed events and messages.
- Great for debugging specific failures.
- Tell you the *story* behind the metric.
- Example: "DB connection timeout", "JWT invalid", "OOM killed".
Traces
Where did it go wrong across services?
- Follow one request across multiple microservices.
- Show how long each hop took.
- Great for microservice / distributed systems.
- Example: Request slow because service B → service C → DB is slow.
Best Practice
During a real incident:
- Metrics tell you there is a problem.
- Traces tell you where the slowdown or failure is.
- Logs tell you why it's happening.
Summary and Conclusions
If you only have logs, you drown in text.
If you only have metrics, you see the fire but not the cause.
If you have all three, you can actually fix things fast.
Observability is not a "nice to have" anymore.
It's core SRE.
Author
Sagar Mehta is Atgen Software Solutions Founder and a recognised expert in the field of Intelligent Automation, including Robotic Process Automation, Workload Automation, DevOps, SRE and Advanced Analytics. Sagar advocates a pragmatic approach to Automation, encouraging a policy of using ‘the best tool for the job’.
Prior to co-founding Atgen Software Solutions, Sagar worked in Senior Automation roles, architecting and delivering robust, scalable solutions for many of the world’s biggest banks and working with leading Automation vendors. He developed his first automated solution in 2006 and has continued to deliver robust, scalable and sophisticated Automation ever since.
Sagar is a regular guest speaker and panellist at Automation seminars, conferences and user group events.
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