90-Day Linux/SRE Mastery Roadmap
How This Roadmap Is Structured
- Phase 1 (Days 1–30) → Core Linux control
- Phase 2 (Days 31–60) → Performance & debugging depth
- Phase 3 (Days 61–90) → Production-level SRE mastery
Each phase includes: Concepts, Commands to master, Labs, Expected outcome.
Table of Contents
- Phase 1 — Linux Foundations (Days 1–30)
- Phase 2 — Performance & Debugging Depth (Days 31–60)
- Phase 3 — Production SRE Mastery (Days 61–90)
- Daily Habit
- Final Skill Checklist
The 90 days are one continuous timeline, not three separate courses: Phase 1 builds core Linux control, Phase 2 adds performance-debugging depth on top of it, and Phase 3 turns that combination into production-grade SRE mastery.
🔵 PHASE 1 — Linux Foundations (Days 1–30)
Goal: Become comfortable living inside Linux without fear.
✅ Week 1 — Filesystem & Shell Mastery
Concepts: filesystem hierarchy, inodes, file descriptors, permissions (rwx, SUID, SGID, sticky bit), environment variables
Commands: ls, stat, file, find, xargs, chmod, chown, du, df, mount, umount, lsblk, lsof
Lab:
- Fill disk to 95% → debug it
- Exhaust inodes → fix it
- Break permissions → repair them
- Trace which process is holding a deleted file open
Outcome: You can debug "disk full" in under 10 minutes.
✅ Week 2 — Process & Service Control
Concepts: PID/PPID, zombie processes, signals, daemons, systemd internals
Commands: ps aux, top/htop, pstree, kill/kill -9, nice/renice, systemctl, journalctl
Lab:
- Create zombie processes intentionally
- Write a broken systemd service and debug it
- Crash a service and analyze logs
Outcome: You can debug "service not starting" confidently.
✅ Week 3 — Networking Essentials
Concepts: TCP 3-way handshake, SYN backlog, TIME_WAIT, DNS resolution flow, routing tables, NAT basics
Commands: ip a, ip route, ss -tulpn, tcpdump, netstat, dig, curl, nc, traceroute
Lab:
- Break DNS → fix it
- Simulate port conflicts
- Capture and analyze a TCP handshake
- Block traffic with a firewall → debug it
Outcome: You can debug "service unreachable" end-to-end.
✅ Week 4 — Storage & Memory
Concepts: virtual memory, page cache, swap, OOM killer, IOPS/latency/throughput, LVM basics
Commands: free -m, vmstat, iostat, iotop, lsblk, df -i, dmesg
Lab:
- Trigger the OOM killer
- Saturate disk I/O
- Create and extend LVM volumes
- Analyze memory pressure
Outcome: You understand what "high load" actually means.
🟡 PHASE 2 — Performance & Debugging Depth (Days 31–60)
Goal: Think like the kernel.
✅ Week 5 — CPU & Load Deep Dive
Concepts: load average meaning, run queue, context switching, CPU steal time (VMs), interrupts
Tools: uptime, mpstat, pidstat, sar, vmstat, perf top
Lab:
- Create a CPU-bound process
- Analyze CPU saturation
- Measure context switches
Outcome: You can explain why load is high.
✅ Week 6 — Advanced Memory Debugging
Concepts: memory leaks, RSS vs VSZ, page faults, overcommit behavior, huge pages
Tools: smem, pmap, cat /proc/meminfo, cat /proc/<pid>/smaps
Lab:
- Simulate a memory leak
- Compare memory usage across processes
- Debug OOM logs
Outcome: You can debug "server slow after 3 days."
✅ Week 7 — I/O & Filesystem Internals
Concepts: I/O scheduler, queue depth, fsync impact, journaling
Tools: iostat -x, blktrace, dstat, lsof
Lab:
- Create a heavy write workload
- Observe iowait behavior
- Compare SSD vs HDD latency
Outcome: You can debug disk bottlenecks like a senior engineer.
✅ Week 8 — Strace, Lsof & System Call Debugging
Concepts: system calls, blocking vs non-blocking I/O, file descriptor leaks
Tools: strace, lsof, watch
Lab:
- Trace a failing process
- Identify a hanging syscall
- Detect an FD leak
Outcome: You stop guessing. You start proving.
🔴 PHASE 3 — Production SRE Mastery (Days 61–90)
Goal: Operate like you're on-call for a major system.
✅ Week 9 — Networking at Scale
Concepts: SYN flood, ephemeral port exhaustion, TCP retransmissions, MTU mismatch, keepalive behavior
Tools: ss -s, tcpdump -i any, netstat -an, ethtool
Lab:
- Simulate connection exhaustion
- Analyze packet drops
- Tune TCP parameters
✅ Week 10 — Containers & cgroups
Concepts: namespaces, cgroups v1/v2, CPU shares, memory limits, PID namespace
Tools: docker stats, docker inspect, cat /sys/fs/cgroup/*
Lab:
- Constrain container memory
- Trigger a container OOM
- Debug container networking
✅ Week 11 — Observability Mindset
Learn:
- USE Method (Utilization, Saturation, Errors)
- RED Method (Rate, Errors, Duration)
- How Linux metrics map to SRE dashboards
Read:
- Systems Performance by Brendan Gregg
- Site Reliability Engineering by Google
✅ Week 12 — Chaos & Failure Simulation
Now simulate real incidents:
- Disk full
- Memory exhaustion
- CPU saturation
- DNS failure
- Network partition
- File descriptor exhaustion
- Kernel panic (VM only)
Practice debugging under time pressure.
🧠 Daily Habit (Throughout 90 Days)
Every single day:
- Spend 30 minutes reading
/proc - Use man pages instead of Google
- Break something intentionally
- Write a postmortem
🔥 Final Skill Checklist (If You Can Do These, You're Strong)
You can:
- Explain load average clearly
- Debug high CPU in under 5 minutes
- Diagnose OOM cause from logs
- Trace a hanging process with
strace - Identify disk saturation
- Analyze a TCP handshake via
tcpdump - Debug container resource limits
- Recover from a broken systemd service
🏁 After 90 Days
You won't just "know Linux." You will:
- Think in queues
- See bottlenecks
- Understand kernel states
- Debug calmly under pressure
Summary
- 💡 Each phase builds on the last — don't skip to containers/cgroups (Week 10) before internalizing CPU/memory/disk fundamentals (Weeks 1–8).
- 🔥 The daily
/prochabit is what converts memorized commands into intuition. - ✅ Week 12's chaos simulation is the real test — pair it directly with Incident Simulation Labs.
See Also
- Incident Simulation Labs — the hands-on labs referenced throughout each phase
- Incident Response Mindset — the thinking framework to pair with these technical skills
- Process Management & /proc — Week 2 & 6 deep reference
- Filesystem & Storage Playbook — Weeks 1, 4, 7 deep reference
- Linux Kernel Fundamentals — underlying theory for Phase 2