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Srinivasaraju Tangella
Srinivasaraju Tangella

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Knowledge Gaps in Devops Engineers

#devops #linux #networking #career

10 Biggest Knowledge Gaps in DevOps Engineers

1️⃣ Weak Networking Understanding
Many engineers know cloud networking terms but not real networking.

Typical gap:

They know VPC, subnet, security group
But cannot explain TCP handshake, routing, NAT, DNS resolution
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A senior DevOps engineer must understand:

Client → DNS → Load balancer → Service → Database
And know what happens at packet level.

2️⃣ Poor Linux Internals Knowledge

Many DevOps engineers only know commands.

But they don’t understand:

process scheduling
memory management
file descriptors
kernel networking
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Example problem:

CPU 100%
Application slow

Senior engineers investigate using:
strace
top
vmstat
lsof


3️⃣ Container Internals Ignorance
Many engineers use containers without knowing how they actually work.
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They don't understand:
namespaces
cgroups
overlay filesystem
container runtimes

Example runtime used by Kubernetes:
containerd

Without this knowledge, troubleshooting containers becomes difficult.


4️⃣ Kubernetes Architecture Gap
Many engineers can run kubectl.
But they don't understand:
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API server
scheduler
controller manager
etcd
kubelet
networking model

Main platform used:
Kubernetes
Understanding control plane vs worker nodes is critical.


5️⃣ Infrastructure Design Skills Missing


Many DevOps engineers only operate systems.

But senior engineers must design infrastructure.

Example design question:
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How would you design infrastructure
for 10 million users?

You must think about:

scalability
load balancing
failover
caching
database scaling


6️⃣ Distributed Systems Knowledge Gap

Modern systems are distributed.

Many engineers don't understand:
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CAP theorem
consensus algorithms
eventual consistency
partition tolerance

These concepts affect:
microservices
databases
messaging systems

7️⃣ Observability Weakness

Engineers install monitoring tools but cannot interpret data.

Monitoring stack often includes:
Prometheus
Grafana
logging systems
But senior engineers must  answer
``|
Why is latency increasing?
Which service causes failure?
This requires metrics analysis and tracing.
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8️⃣ Security Knowledge Gap

Security is often ignored in DevOps pipelines.

Important areas:
secrets management
IAM policies
container security
vulnerability scanning
Security tools integrate with CI/CD.
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DevOps + Security = DevSecOps.

9️⃣ Cost Awareness (FinOps)
Many engineers create infrastructure but ignore cost.
Example mistake

Auto-scaling cluster running 24/7
Unnecessary high-cost instances
Senior engineers must optimize:
compute costs
storage costs
network costs
This is called FinOps.
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🔟 System Thinking Missing

The biggest gap is lack of system thinking.

Many engineers focus on individual tools:

Docker
Terraform
Jenkins

But senior engineers think in systems.
Example:

User request
   │
   ▼
Load balancer
   │
   ▼
API gateway
   │
   ▼
Microservices
   │
   ▼
Database
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They understand how the entire platform works together.

Final Insight

A strong DevOps engineer must understand three levels.

Level 1 — Tools
Docker
Terraform
CI/CD

Level 2 — Platforms

Cloud platforms
Kubernetes clusters
Observability systems

Level 3 — Systems Thinking

How everything works together:

Networking
Compute
Storage
Containers
Applications

This level creates senior engineers and architects.

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