Automation is often seen as the ultimate goal in DevOps.
CI/CD pipelines.
Auto-scaling.
Auto-remediation.
Self-healing systems.
But here’s the uncomfortable truth:
Automation without understanding simply accelerates failure.
The Real Problem: Unknowns in Distributed Systems
Modern Kubernetes environments are inherently complex.
Every system consists of:
• multiple microservices
• asynchronous communication
• dynamic scaling
• ephemeral infrastructure
• constantly changing configurations
Failures rarely happen because something is missing.
They happen because something is unknown.
Unknown dependencies.
Unknown side effects.
Unknown behavioral changes.
Why Automation Alone Is Dangerous
Automation executes predefined logic.
It assumes:
• known system behavior
• predictable failure modes
• stable dependencies
But in real-world systems:
• traffic patterns change
• resource usage evolves
• dependencies degrade silently
• configurations drift over time
If automation acts on incomplete understanding, it can:
• restart healthy pods unnecessarily
• scale out inefficient workloads
• trigger cascading failures
• mask the real root cause
Example: When Automation Makes Things Worse
Consider a latency spike scenario.
Auto-scaling reacts:
High latency → increase replicas
But the real issue is:
• database connection exhaustion
• DNS resolution delays
• upstream retry storm
Now scaling leads to:
• more connections
• higher load on dependencies
• increased failure rate
Automation amplified the problem because the root cause was unknown.
The Shift: From Automation to Understanding
High-performing SRE teams don’t just automate.
They focus on reducing unknowns before acting.
They ask:
• What changed recently?
• Which dependency is degraded?
• Is this a symptom or root cause?
• How is the issue propagating?
This requires context, correlation, and system-wide visibility.
What Reducing Unknowns Actually Means
Reducing unknowns involves:
- Change Awareness
Understanding:
• deployments
• config updates
• infrastructure changes
Most incidents correlate with recent changes.
- Cross-Signal Correlation
Combining:
• logs (what happened)
• metrics (how system behaved)
• traces (where it propagated)
• events (what changed in cluster)
Without correlation, signals remain isolated.
- Dependency Visibility
Understanding how services interact:
• upstream/downstream relationships
• retry behavior
• cascading impact
Failures rarely stay isolated.
- Temporal Context
Knowing:
• what happened before
• what changed during
• what stabilized after
Time is critical in debugging.
Where Most DevOps Setups Fail
Most teams invest heavily in:
• CI/CD pipelines
• infrastructure automation
• monitoring dashboards
But they lack:
• root cause visibility
• change correlation
• system-level understanding
This creates a dangerous gap:
Fast automation + low understanding = unpredictable systems
How KubeHA Helps
KubeHA is designed to reduce unknowns before action is taken.
Instead of just showing data, it connects signals across the system.
It provides:
🔍 Change-to-Impact Correlation
“Latency increased after deployment v2.3 in payment-service.”
🔗 Cross-Signal Analysis
Correlates:
• logs
• metrics
• events
• traces
into a single narrative.
🧠 Root Cause Identification
Instead of reacting to symptoms, KubeHA highlights:
• actual failure origin
• dependency impact
• propagation path
⚡ Intelligent Recommendations
Suggests remediation based on:
• real system behavior
• past patterns
• cluster context
Real Outcome for SRE Teams
By reducing unknowns, teams achieve:
• faster MTTR
• fewer false actions
• safer automation
• more predictable systems
Automation becomes effective only after understanding improves.
Final Thought
DevOps is not about how fast you can automate.
It’s about how well you understand your system before acting.
Because in distributed systems:
The biggest risk is not failure.
It is acting on incomplete understanding.
👉 To learn more about reducing unknowns in Kubernetes, improving observability, and building reliable DevOps systems, follow KubeHA (https://linkedin.com/showcase/kubeha-ara/).
Read More: https://kubeha.com/devops-isnt-about-automation-its-about-reducing-unknowns/
Book a demo today at https://kubeha.com/schedule-a-meet/
Experience KubeHA today: www.KubeHA.com
KubeHA’s introduction, https://www.youtube.com/watch?v=PyzTQPLGaD0
Top comments (2)
Generally, we lack in root cause visibility and change correlation, also in system-level understanding.
Fast automation could be harmful